Toyota announced its new Toyota FJ Land Cruiser model. The Toyota FJ Land Cruiser is a smaller five-seater vehicle. It is a direct replacement for the FJ Cruiser which was sold in many markets outside the UK and European Union. Like its predecessor the Toyota FJ Land Cruiser shares underpinnings with its larger 7-seater cousin the 250 series. It features a shorter wheelbase. Toyota has put a lot of effort into thinking about how it can make the Toyota FJ Land Cruiser more extensible in capabilities and more modular.
Modularity comes in compatibility with MOLLE military storage connectivity that has made its way into the civilian world. While Alpine packs are about sleek design with few snags, MOLLE allows fastenings, pouches and equipment to be suspended inside and outside bags. Toyota has now extended this to the inside of the Toyota FJ Land Cruiser’s rear door.
The focus on extensible features within the vehicle shows how some markets (notably America) have a large after market industry providing additional features for vehicles with aspirations to do overloading. Toyota is an active participant in the SEMA show in the US. This is where fans and the vehicle modifying industry get together to be inspired, do deals and gain intelligence on vehicles so that they can design new after market parts. Toyota brings concept builds, as well as allowing after market manufacturers to measure and 3D scan new vehicles.
The move to extensible design, shows that Toyota is interested in providing more of that capability through its own business. Third-party parts, in particular lift kits can affect handling and wheel bearings. Designing its own aftermarket parts and applying extensible thinking in the vehicle design philosophy allows Toyota to:
Meet consumer needs.
Ensure the vehicles meet the factory’s quality and reliability standards.
Offer incremental additional revenue.
While a Toyota FJ Land Cruiser as ‘mum truck’ won’t need a water fording kit. An overlanding enthusiast like Chloe Kuo would put it to good use and influence more potential buyers in the process.
Like the FJ Cruiser before it we are unlikely to see the Toyota FJ Land Cruiser in UK Toyota dealerships due to the UK government’s focus on forcing UK consumers away from internal combustion vehicles. Instead they are likely to come in small numbers as JDM (Japanese domestic market) pre-owned vehicles.
Toyota recognises that net zero is more complex than importing Chinese electric vehicles. Considerations also need to be given to vehicle use case, the whole life carbon footprint of the car and sustainability. But that doesn’t make simple solutions for policy makers.
Toyota will have four Land Cruiser models that it will be selling around the world:
J70 series – sold to the UN, various militaries, Japan, Australia and in the global south. Doesn’t pass current European vehicle laws as it’s designed for resilience, robustness, repairability and sustainment in the most hostile environments.
J300 series – the flagship of the line-up. Sold in the US as the Lexus LX, this combines the comfort of a top of the range Range Rover with the capability of the 70 series in an off-road environment. As a Land Cruiser it is available in Australia, Japan, the Gulf States, South Africa and various countries in South East Asia from Sri Lanka to the Philippines.
J250 series – the most widespread of the Land Cruiser range in terms of sales footprint. It is sold in Japan, Europe, North and South America, Australia, Sri Lanka, the Philippines, China, Vietnam, Brunei and the Gulf States. In Europe it’s known as the Land Cruiser. It’s sold in other markets as the Toyota Prado, the Toyota Land Cruiser 250 in Japan, the Toyota Land Cruiser Prado in Australia and in North America as the Lexus GX and Toyota Land Cruiser. It is smaller and utilitarian than the J300, but not quite as robust or spartan as the J70 series.
FJ Land Cruiser – the Toyota FJ Land Cruiser is likely to be sold in North America and Japan, mirroring the markets where the FJ Cruiser was originally sold.
How the UK Lost Its Shipbuilding Industry – by Brian Potter – The UK ultimately proved unable to respond to competitors who entered the market with new, large shipyards which employed novel methods of shipbuilding developed by the US during WWII. British industry in general failed to invest adequately to keep ahead of competitors. The UK fell from producing 57% of world tonnage in 1947 to just 17% a decade later. By the 1970s their output was below 5% of world total, and by the 1990s it was less than 1%. In 2023, the UK produced no commercial ships at all. – Part of this was also down to policy decisions. The Thatcher administration deliberately designated yards as military-only to drive them to the wall and smash the trade unions.
Memory Exiled | History Workshop – a bit tiresome, don’t get me wrong I am happy to throw brickbats at the UK Government as a citizen of a decolonised country but this is distorted. – The UK government releases papers after 20 years, but some are kept under wraps for longer for national security or other reasons. Sensitive materials (in Hong Kong’s case, perhaps to do with the handover) don’t account for more than a tiny percentage of the content and are redacted. One possible reason the Hong Kong files are still not released is simply that there are huge amounts of them, and they are mostly on microfiche, which is a pain to digitise – not because of a desire to ‘control history’.
Forgive the rant, but this quote from an article about WPP’s decline–and the attitude behind it–drives me absolutely crazy. Let’s do the math.
If you’re a 40-year-old creative, you were 19 when Facebook launched.You turned 21 when Twitter debuted.You were 22 when Apple introduced the iPhone, and 25 when Instagram came out. So you’ve literally spent your entire career in advertising creating work for the digital/social/smartphone media ecosystem. And that means you’ve produced way more digital-first and social campaigns than TV spots, let alone posters. (Also: I would love to meet the creative who “built a career” making posters.)
And creatives older than 40? They’ve successfully navigated the decline of broadcast and mass media, the introduction of smartphones, the broad shift to targeting, the endless parade of social channels and new technologies that Will Change Everything–arguably the greatest two decades of disruption the advertising industry has ever faced.
And the creatives who are over 60? They’re the generation that *invented* digital advertising. – I thought that this comment from LinkedIn was the most insightful assessment of the article
My thinking on the concept of intelligence per watt started as bullets in my notebook. It was more of a timeline than anything else at first and provided a framework of sorts from which I could explore the concept of efficiency in terms of intelligence per watt.
TL;DR (too long, didn’t read)
Our path to the current state of ‘artificial intelligence’ (AI) has been shaped by the interplay and developments of telecommunications, wireless communications, materials science, manufacturing processes, mathematics, information theory and software engineering.
Progress in one area spurred advances in others, creating a feedback loop that propelled innovation.
Over time, new use cases have become more personal and portable – necessitating a focus on intelligence per watt as a key parameter. Energy consumption directly affects industrial design and end-user benefits. Small low-power integrated circuits (ICs) facilitated fuzzy logic in portable consumer electronics like cameras and portable CD players. Low power ICs and power management techniques also helped feature phones evolve into smartphones.
A second-order effect of optimising for intelligence per watt is reducing power consumption across multiple applications. This spurs yet more new use cases in a virtuous innovation circle. This continues until the laws of physics impose limits.
Energy storage density and consumption are fundamental constraints, driving the need for a focus on intelligence per watt.
As intelligence per watt improves, there will be a point at which the question isn’t just what AI can do, but what should be done with AI? And where should it be processed? Trust becomes less about emotional reassurance and more about operational discipline. Just because it can handle a task doesn’t mean it should – particularly in cases where data sensitivity, latency, or transparency to humans is non-negotiable. A highly capable, off-device AI might be a fine at drafting everyday emails, but a questionable choice for handling your online banking.
Good ‘operational security’ outweighs trust. The design of AI systems must therefore account not just for energy efficiency, but user utility and deployment context. The cost of misplaced trust is asymmetric and potentially irreversible.
Ironically the force multiplier in intelligence per watt is people and their use of ‘artificial intelligence’ as a tool or ‘co-pilot’. It promises to be an extension of the earlier memetic concept of a ‘bicycle for the mind’ that helped inspire early developments in the personal computer industry. The upside of an intelligence per watt focus is more personal, trusted services designed for everyday use.
While not a computer, but instead to integrate several radio parts in one glass envelope vacuum valve. This had three triodes (early electronic amplifiers), two capacitors and four resistors. Inside the valve the extra resistor and capacitor components went inside their own glass tubes. Normally each triode would be inside its own vacuum valve. At the time, German radio tax laws were based on the number of valve sockets in a device, making this integration financially advantageous.
Post-war scientific boom
Between 1949 and 1957 engineers and scientists from the UK, Germany, Japan and the US proposed what we’d think of as the integrated circuit (IC). These ideas were made possible when breakthroughs in manufacturing happened. Shockley Semiconductor built on work by Bell Labs and Sprague Electric Company to connect different types of components on the one piece of silicon to create the IC.
Credit is often given to Jack Kilby of Texas Instruments as the inventor of the integrated circuit. But that depends how you define IC, with what is now called a monolithic IC being considered a ‘true’ one. Kilby’s version wasn’t a true monolithic IC. As with most inventions it is usually the child of several interconnected ideas that coalesce over a given part in time. In the case of ICs, it was happening in the midst of materials and technology developments including data storage and computational solutions such as the idea of virtual memory through to the first solar cells.
Kirby’s ICs went into an Air Force computer[ii] and an onboard guidance system for the Minuteman missile. He went on to help invent the first handheld calculator and thermal printer, both of which took advantage of progress in IC design to change our modern way of life[iii].
TTL (transistor-to-transistor logic) circuitry was invented at TRW in 1961, they licensed it out for use in data processing and communications – propelling the development of modern computing. TTL circuits powered mainframes. Mainframes were housed in specialised temperature and humidity-controlled rooms and owned by large corporates and governments. Modern banking and payments systems rely on the mainframe as a concept.
AI’s early steps
What we now thing of as AI had been considered theoretically for as long as computers could be programmed. As semiconductors developed, a parallel track opened up to move AI beyond being a theoretical possibility. A pivotal moment was a workshop was held in 1956 at Dartmouth College. The workshop focused on a hypothesis ‘every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it’. Later on, that year a meeting at MIT (Massachusetts Institute of Technology) brought together psychologists and linguists to discuss the possibility of simulating cognitive processes using a computer. This is the origin of what we’d now call cognitive science.
Out of the cognitive approach came some early successes in the move towards artificial intelligence[iv]. A number of approaches were taken based on what is now called symbolic or classical AI:
Reasoning as search – essentially step-wise trial and error approach to problem solving that was compared to wandering through a maze and back-tracking if a dead end was found.
Natural language – where related phrases existed within a structured network.
Micro-worlds – solving for artificially simple situations, similar to economic models relying on the concept of the rational consumer.
Single layer neural networks – to do rudimentary image recognition.
By the time the early 1970s came around AI researchers ran into a number of problems, some of which still plague the field to this day:
Symbolic AI wasn’t fit for purpose solving many real-world tasks like crossing a crowded room.
Trying to capture imprecise concepts with precise language.
Commonsense knowledge was vast and difficult to encode.
Intractability – many problems require an exponential amount of computing time.
Limited computing power available – there was insufficient intelligence per watt available for all but the simplest problems.
By 1966, US and UK funding bodies were frustrated with the lack of progress on the research undertaken. The axe fell first on a project to use computers on language translation. Around the time of the OPEC oil crisis, funding to major centres researching AI was reduced by both the US and UK governments respectively. Despite the reduction of funding to the major centres, work continued elsewhere.
Mini-computers and pocket calculators
ICs allowed for mini-computers due to the increase in computing power per watt. As important as the relative computing power, ICs made mini-computers more robust, easier to manufacture and maintain. DEC (Digital Equipment Corporation) launched the first minicomputer, the PDP-8 in 1964. The cost of mini-computers allowed them to run manufacturing processes, control telephone network switching and control labouratory equipment. Mini-computers expanded computer access in academia facilitating more work in artificial life and what we’d think of as early artificial intelligence. This shift laid the groundwork for intelligence per watt as a guiding principle.
A second development helped drive mass production of ICs – the pocket calculator, originally invented at Texas Instruments. It demonstrated how ICs could dramatically improve efficiency in compact, low-power devices.
LISP machines and PCs
AI researchers required more computational power than mini-computers could provide, leading to the development of LISP machines—specialised workstations designed for AI applications. Despite improvements in intelligence per watt enabled by Moore’s Law, their specialised nature meant that they were expensive. AI researchers continued with these machines until personal computers (PCs) progressed to a point that they could run LISP quicker than LISP machines themselves. The continuous improvements in data storage, memory and processing that enabled LISP machines, continued on and surpassed them as the cost of computing dropped due to mass production.
The rise of LISP machines and their decline was not only due to Moore’s Law in effect, but also that of Makimoto’s Wave. While Gordon Moore outlined an observation that the number of transistors on a given area of silicon doubled every two years or so. Tsugio Makimoto originally observed 10-year pivots from standardised semiconductor processors to customised processors[v]. The rise of personal computing drove a pivot towards standardised architectures.
PCs and workstations extended computing beyond computer rooms and labouratories to offices and production lines. During the late 1970s and 1980s standardised processor designs like the Zilog Z80, MOS Technology 6502 and the Motorola 68000 series drove home and business computing alongside Intel’s X86 processors.
Personal computing started in businesses when office workers brought a computer to use early computer programmes like the VisiCalc spreadsheet application. This allowed them to take a leap forward in not only tabulating data, but also seeing how changes to the business might affect financial performance.
Businesses then started to invest more in PCs for a wide range of uses. PCs could emulate the computer terminal of a mainframe or minicomputer, but also run applications of their own.
Typewriters were being placed by word processors that allowed the operator to edit a document in real time without resorting to using correction fluid.
A Bicycle for the Mind
Steve Jobs at Apple was as famous for being a storyteller as he was for being a technologist in the broadest sense. Internally with the Mac team he shared stories and memetic concepts to get his ideas across in everything from briefing product teams to press interviews. As a concept, a 1990 filmed interview with Steve Jobs articulates the context of this saying particularly well.
In reality, Jobs had been telling the story for a long time through the development of the Apple II and right from the beginning of the Mac. There is a version of the talk that was recorded some time in 1980 when the personal computer was still a very new idea – the video was provided to the Computer History Museum by Regis McKenna[vi].
The ‘bicycle for the mind’ concept was repeated in early Apple advertisements for the time[vii] and even informed the Macintosh project codename[viii].
Jobs articulated a few key concepts.
Buying a computer creates, rather than reduces problems. You needed software to start solving problems and making computing accessible. Back in 1980, you programmed a computer if you bought one. Which was the reason why early personal computer owners in the UK went on to birth a thriving games software industry including the likes of Codemasters[ix]. Done well, there should be no seem in the experience between hardware and software.
The idea of a personal, individual computing device (rather than a shared resource). My own computer builds on my years of how I have grown to adapt and use my Macs, from my first sit-up and beg Macintosh, to the MacBook Pro that I am writing this post on. This is even more true most people and their use of the smartphone. I am of an age, where my iPhone is still an appendage and emissary of my Mac. My Mac is still my primary creative tool. A personal computer is more powerful than a shared computer in terms of the real difference made.
At the time Jobs originally did the speech, PCs were underpowered for anything but data processing (through spreadsheets and basic word processor applications). But that didn’t stop his idea for something greater.
Jobs idea of the computer as an adjunct to the human intellect and imagination still holds true, but it doesn’t neatly fit into the intelligence per watt paradigm. It is harder to measure the effort developing prompts, or that expended evaluating, refining and filtering generative AI results. Of course, Steve Jobs Apple owed a lot to the vision shown in Doug Engelbart’s ‘Mother of All Demos’[x].
Networks
Work took a leap forward with office networked computers pioneered by Macintosh office by Apple[xi]. This was soon overtaken by competitors. This facilitated work flow within an office and its impact can still be seen in offices today, even as components from print management to file storage have moved to cloud-based services.
At the same time, what we might think of as mobile was starting to gain momentum. Bell Labs and Motorola came up with much of the technology to create cellular communications. Martin Cooper of Motorola made the first phone call on a cellular phone to a rival researcher at Bell Labs. But Motorola didn’t sell the phone commercially until 1983, as a US-only product called the DynaTAC 8000x[xii]. This was four years after Japanese telecoms company NTT launched their first cellular network for car phones. Commercial cellular networks were running in Scandinavia by 1981[xiii].
In the same way that the networked office radically changed white collar work, the cellular network did a similar thing for self-employed plumbers, electricians and photocopy repair men to travelling sales people. If they were technologically advanced, they may have had an answer machine, but it would likely have to be checked manually by playing back the tape.
Often it was a receptionist in their office if they had one. Or more likely, someone back home who took messages. The cell phone freed homemakers in a lot of self-employed households to go out into the workplace and helped raise household incomes.
Fuzzy logic
The first mainstream AI applications emerged from fuzzy logic, introduced by Lofti A. Zadeh in 1965 mathematical paper. Initial uses were for industrial controls in cement kilns and steel production[xiv]. The first prominent product to rely on fuzzy logic was the Zojirushi Micom Electric Rice Cooker (1983), which adjusted cooking time dynamically to ensure perfect rice.
Fuzzy logic reacted to changing conditions in a similar way to people. Through the 1980s and well into the 1990s, the power of fuzzy logic was under appreciated outside of Japanese product development teams. In a quote a spokesperson for the American Electronics Association’s Tokyo office said to the Washington Post[xv].
“Some of the fuzzy concepts may be valid in the U.S.,”
“The idea of better energy efficiency, or more precise heating and cooling, can be successful in the American market,”
“But I don’t think most Americans want a vacuum cleaner that talks to you and says, ‘Hey, I sense that my dust bag will be full before we finish this room.’ “
The end of the 1990s, fuzzy logic was embedded in various consumer devices:
Air-conditioner units – understands the room, the temperature difference inside-and-out, humidity. It then switches on-and-off to balance cooling and energy efficiency.
CD players – enhanced error correction on playback dealing with imperfections on the disc surface.
Dishwashers – understood how many dishes were loaded, their type of dirt and then adjusts the wash programme.
Toasters – recognised different bread types, the preferable degree of toasting and performs accordingly.
TV sets – adjust the screen brightness to the ambient light of the room and the sound volume to how far away the viewer is sitting from the TV set.
Vacuum cleaners – vacuum power that is adjusted as it moves from carpeted to hard floors.
Video cameras – compensate for the movement of the camera to reduce blurred images.
Fuzzy logic sold on the benefits and concealed the technology from western consumers. Fuzzy logic embedded intelligence in the devices. Because it worked on relatively simple dedicated purposes it could rely on small lower power specialist chips[xvi] offering a reasonable amount of intelligence per watt, some three decades before generative AI. By the late 1990s, kitchen appliances like rice cookers and microwave ovens reached ‘peak intelligence’ for what they needed to do, based on the power of fuzzy logic[xvii].
Fuzzy logic also helped in business automation. It helped to automatically read hand-written numbers on cheques in banking systems and the postcodes on letters and parcels for the Royal Mail.
Decision support systems & AI in business
Decision support systems or Business Information Systems were being used in large corporates by the early 1990s. The techniques used were varied but some used rules-based systems. These were used in at least some capacity to reduce manual office work tasks. For instance, credit card approvals were processed based on rules that included various factors including credit scores. Only some credit card providers had an analyst manually review the decision made by system. However, setting up each use case took a lot of effort involving highly-paid consultants and expensive software tools. Even then, vendors of business information systems such as Autonomy struggled with a high rate of projects that failed to deliver anything like the benefits promised.
Three decades on, IBM had a similar problem with its Watson offerings, with particularly high-profile failure in mission-critical healthcare applications[xviii]. Secondly, a lot of tasks were ad-hoc in nature, or might require transposing across disparate separate systems.
The rise of the web
The web changed everything. The underlying technology allowed for dynamic data.
Software agents
Examples of intelligence within the network included early software agents. A good example of this was PapriCom. PapriCom had a client on the user’s computer. The software client monitored price changes for products that the customer was interested in buying. The app then notified the user when the monitored price reached a price determined by the customer. The company became known as DealTime in the US and UK, or Evenbetter.com in Germany[xix].
The PapriCom client app was part of a wider set of technologies known as ‘push technology’ which brought content that the netizen would want directly to their computer. In a similar way to mobile app notifications now.
Web search
The wealth of information quickly outstripped netizen’s ability to explore the content. Search engines became essential for navigating the new online world. Progress was made in clustering vast amounts of cheap Linux powered computers together and sharing the workload to power web search amongst them. As search started to trying and make sense of an exponentially growing web, machine learning became part of the developer tool box.
Researchers at Carnegie-Mellon looked at using games to help teach machine learning algorithms based on human responses that provided rich metadata about the given item[xx]. This became known as the ESP game. In the early 2000s, Yahoo! turned to web 2.0 start-ups that used user-generated labels called tags[xxi] to help organise their data. Yahoo! bought Flickr[xxii] and deli.ico.us[xxiii].
All the major search engines looked at how deep learning could help improve search results relevance.
Given that the business model for web search was an advertising-based model, reducing the cost per search, while maintaining search quality was key to Google’s success. Early on Google focused on energy consumption, with its (search) data centres becoming carbon neutral in 2007[xxiv]. This was achieved by a whole-system effort: carefully managing power management in the silicon, storage, networking equipment and air conditioning to maximise for intelligence per watt. All of which were made using optimised versions of open-source software and cheap general purpose PC components ganged together in racks and operating together in clusters.
General purpose ICs for personal computers and consumer electronics allowed easy access relatively low power computing. Much of this was down to process improvements that were being made at the time. You needed the volume of chips to drive innovation in mass-production at a chip foundry. While application-specific chips had their uses, commodity mass-volume products for uses for everything from embedded applications to early mobile / portable devices and computers drove progress in improving intelligence-per-watt.
Makimoto’s tsunami back to specialised ICs
When I talked about the decline of LISP machines, I mentioned the move towards standardised IC design predicted by Tsugio Makimoto. This led to a surge in IC production, alongside other components including flash and RAM memory. From the mid-1990s to about 2010, Makimoto’s predicted phase was stuck in ‘standardisation’. It just worked. But several factors drove the swing back to specialised ICs.
Lithography processes got harder: standardisation got its performance and intelligence per watt bump because there had been a steady step change in improvements in foundry lithography processes that allowed components to be made at ever-smaller dimensions. The dimensions are a function wavelength of light used. The semiconductor hit an impasse when it needed to move to EUV (extreme ultra violet) light sources. From the early 1990s on US government research projects championed development of key technologies that allow EUV photolithography[xxv]. During this time Japanese equipment vendors Nikon and Canon gave up on EUV. Sole US vendor SVG (Silicon Valley Group) was acquired by ASML, giving the Dutch company a global monopoly on cutting edge lithography equipment[xxvi]. ASML became the US Department of Energy research partner on EUV photo-lithography development[xxvii]. ASML spent over two decades trying to get EUV to work. Once they had it in client foundries further time was needed to get commercial levels of production up and running. All of which meant that production processes to improve IC intelligence per watt slowed down and IC manufacturers had to start about systems in a more holistic manner. As foundry development became harder, there was a rise in fabless chip businesses. Alongside the fabless firms, there were fewer foundries: Global Foundries, Samsung and TSMC (Taiwan Semiconductor Manufacturing Company Limited). TSMC is the worlds largest ‘pure-play’ foundry making ICs for companies including AMD, Apple, Nvidia and Qualcomm.
Progress in EDA (electronic design automation). Production process improvements in IC manufacture allowed for an explosion in device complexity as the number of components on a given size of IC doubled every 18 months or so. In the mid-to-late 1970s this led to technologists thinking about the idea of very large-scale integration (VLSI) within IC designs[xxviii]. Through the 1980s, commercial EDA software businesses were formed. The EDA market grew because it facilitated the continual scaling of semiconductor technology[xxix]. Secondly, it facilitated new business models. Businesses like ARM Semiconductor and LSI Logic allowed their customers to build their own processors based on ‘blocs’ of proprietary designs like ARM’s cores. That allowed companies like Apple to focus on optimisation in their customer silicon and integration with software to help improve the intelligence per watt[xxx].
Increased focus on portable devices. A combination of digital networks, wireless connectivity, the web as a communications platform with universal standards, flat screen displays and improving battery technology led the way in moving towards more portable technologies. From personal digital assistants, MP3 players and smartphone, to laptop and tablet computers – disconnected mobile computing was the clear direction of travel. Cell phones offered days of battery life; the Palm Pilot PDA had a battery life allowing for couple of days of continuous use[xxxi]. In reality it would do a month or so of work. Laptops at the time could do half a day’s work when disconnected from a power supply. Manufacturers like Dell and HP provided spare batteries for travellers. Given changing behaviours Apple wanted laptops that were easy to carry and could last most of a day without a charge. This was partly driven by a move to a cleaner product design that wanted to move away from swapping batteries. In 2005, Apple moved from PowerPC to Intel processors. During the announcement at the company’s worldwide developer conference (WWDC), Steve Jobs talked about the focus on computing power per watt moving forwards[xxxii].
Apple’s first in-house designed IC, the A4 processor was launched in 2010 and marked the pivot of Makimoto’s wave back to specialised processor design[xxxiii]. This marked a point of inflection in the growth of smartphones and specialised computing ICs[xxxiv].
New devices also meant new use cases that melded data on the web, on device, and in the real world. I started to see this in action working at Yahoo! with location data integrated on to photos and social data like Yahoo! Research’s ZoneTag and Flickr. I had been the Yahoo! Europe marketing contact on adding Flickr support to Nokia N-series ‘multimedia computers’ (what we’d now call smartphones), starting with the Nokia N73[xxxv]. A year later the Nokia N95 was the first smartphone released with a built-in GPS receiver. William Gibson’s speculative fiction story Spook Country came out in 2007 and integrated locative art as a concept in the story[xxxvi].
Real-world QRcodes helped connect online services with the real world, such as mobile payments or reading content online like a restaurant menu or a property listing[xxxvii].
I labelled the web-world integration as a ‘web-of-no-web’[xxxviii] when I presented on it back in 2008 as part of an interactive media module, I taught to an executive MBA class at Universitat Ramon Llull in Barcelona[xxxix]. In China, wireless payment ideas would come to be labelled O2O (offline to online) and Kevin Kelly articulated a future vision for this fusion which he called Mirrorworld[xl].
Deep learning boom
Even as there was a post-LISP machine dip in funding of AI research, work on deep (multi-layered) neural networks continued through the 1980s. Other areas were explored in academia during the 1990s and early 2000s due to the large amount of computing power needed. Internet companies like Google gained experience in large clustered computing, AND, had a real need to explore deep learning. Use cases include image recognition to improve search and dynamically altered journeys to improve mapping and local search offerings. Deep learning is probabilistic in nature, which dovetailed nicely with prior work Microsoft Research had been doing since the 1980s on Bayesian approaches to problem-solving[xli].
A key factor in deep learning’s adoption was having access to powerful enough GPUs to handle the neural network compute[xlii]. This has allowed various vendors to build Large Language Models (LLMs). The perceived strategic importance of artificial intelligence has meant that considerations on intelligence per watt has become a tertiary consideration at best. Microsoft has shown interest in growing data centres with less thought has been given on the electrical infrastructure required[xliii].
Google’s conference paper on attention mechanisms[xliv] highlighted the development of the transformer model. As an architecture it got around problems in previous approaches, but is computationally intensive. Even before the paper was published, the Google transformer model had created fictional Wikipedia entries[xlv]. A year later OpenAI built on Google’s work with the generative pre-trained transformer model better known as GPT[xlvi].
Since 2018 we’ve seen successive GPT-based models from Amazon, Anthropic, Google, Meta, Alibaba, Tencent, Manus and DeepSeek. All of these models were trained on vast amounts of information sources. One of the key limitations for building better models was access to training material, which is why Meta used pirated copies of e-books obtained using bit-torrent[xlvii].
These models were so computationally intensive that the large-scale cloud service providers (CSPs) offering these generative AI services were looking at nuclear power access for their data centres[xlviii].
The current direction of development in generative AI services is raw computing power, rather than having a more energy efficient focus of intelligence per watt.
Technology consultancy / analyst Omdia estimated how many GPUs were bought by hyperscalers in 2024[xlix].
Company
Number of Nvidia GPUs bought
Number of AMD GPUs bought
Number of self-designed custom processing chips bought
Amazon
196,000
–
1,300,000
Alphabet (Google)
169,000
–
1,500,000
ByteDance
230,000
–
–
Meta
224,000
173,000
1,500,000
Microsoft
485,000
96,000
200,000
Tencent
230,000
–
–
These numbers provide an indication of the massive deployment on GPT-specific computing power. Despite the massive amount of computing power available, services still weren’t able to cope[l] mirroring some of the service problems experienced by early web users[li] and the Twitter ‘whale FAIL’[lii] phenomenon of the mid-2000s. The race to bigger, more powerful models is likely to continue for the foreseeable future[liii].
There is a second class of players typified by Chinese companies DeepSeek[liv] and Manus[lv] that look to optimise the use of older GPT models to squeeze the most utility out of them in a more efficient manner. Both of these services still rely on large cloud computing facilities to answer queries and perform tasks.
Agentic AI
Thinking on software agents went back to work being done in computer science in the mid-1970s[lvi]. Apple articulated a view[lvii]of a future system dubbed the ‘Knowledge Navigator’[lviii] in 1987 which hinted at autonomous software agents. What we’d now think of as agentic AI was discussed as a concept at least as far back as 1995[lix], this was mirrored in research labs around the world and was captured in a 1997 survey of research on intelligent software agents was published[lx]. These agents went beyond the vision that PapriCom implemented.
A classic example of this was Wildfire Communications, Inc. who created a voice enabled virtual personal assistant in 1994[lxi]. Wildfire as a service was eventually shut down in 2005 due to an apparent decline in subscribers using the service[lxii]. In terms of capability, Wildfire could do tasks that are currently beyond Apple’s Siri. Wildfire did have limitations due to it being an off-device service that used a phone call rather than an internet connection, which limited its use to Orange mobile service subscribers using early digital cellular mobile networks.
Almost a quarter century later we’re now seeing devices that are looking to go beyond Wildfire with varying degrees of success. For instance, the Rabbit R1 could order an Uber ride or groceries from DoorDash[lxiii]. Google Duplex tries to call restaurants on your behalf to make reservations[lxiv] and Amazon claims that it can shop across other websites on your behalf[lxv]. At the more extreme end is Boeing’s MQ-28[lxvi] and the Loyal Wingman programme[lxvii]. The MQ-28 is an autonomous drone that would accompany US combat aircraft into battle, once it’s been directed to follow a course of action by its human colleague in another plane.
The MQ-28 will likely operate in an electronic environment that could be jammed. Even if it wasn’t jammed the length of time taken to beam AI instructions to the aircraft would negatively impact aircraft performance. So, it is likely to have a large amount of on-board computing power. As with any aircraft, the size of computing resources and their power is a trade-off with the amount of fuel or payload it will carry. So, efficiency in terms of intelligence per watt becomes important to develop the smallest, lightest autonomous pilot.
As well as a more hostile world, we also exist in a more vulnerable time in terms of cyber security and privacy. It makes sense to have critical, more private AI tasks run on a local machine. At the moment models like DeepSeek can run natively on a top-of-the-range Mac workstation with enough memory[lxviii].
This is still a long way from the vision of completely local execution of ‘agentic AI’ on a mobile device because the intelligence per watt hasn’t scaled down to that level to useful given the vast amount of possible uses that would be asked of the Agentic AI model.
Maximising intelligence per watt
There are three broad approaches to maximise the intelligence per watt of an AI model.
Take advantage of the technium. The technium is an idea popularised by author Kevin Kelly[lxix]. Kelly argues that technology moves forward inexorably, each development building on the last. Current LLMs such as ChatGPT and Google Gemini take advantage of the ongoing technium in hardware development including high-speed computer memory and high-performance graphics processing units (GPU). They have been building large data centres to run their models in. They build on past developments in distributed computing going all the way back to the 1962[lxx].
Optimise models to squeeze the most performance out of them. The approach taken by some of the Chinese models has been to optimise the technology just behind the leading-edge work done by the likes of Google, OpenAI and Anthropic. The optimisation may use both LLMs[lxxi] and quantum computing[lxxii] – I don’t know about the veracity of either claim.
Specialised models. Developing models by use case can reduce the size of the model and improve the applied intelligence per watt. Classic examples of this would be fuzzy logic used for the past four decades in consumer electronics to Mistral AI[lxxiii] and Anduril’s Copperhead underwater drone family[lxxiv].
Even if an AI model can do something, should the model be asked to do so?
We have a clear direction of travel over the decades to more powerful, portable computing devices –which could function as an extension of their user once intelligence per watt allows it to be run locally.
Having an AI run on a cloud service makes sense where you are on a robust internet connection, such as using the wi-fi network at home. This makes sense for general everyday task with no information risk, for instance helping you complete a newspaper crossword if there is an answer you are stuck on and the intellectual struggle has gone nowhere.
A private cloud AI service would make sense when working, accessing or processing data held on the service. Examples of this would be Google’s Vertex AI offering[lxxv].
On-device AI models make sense in working with one’s personal private details such as family photographs, health information or accessing apps within your device. Apps like Strava which share data, have been shown to have privacy[lxxvi] and security[lxxvii] implications. ***I am using Strava as an example because it is popular and widely-known, not because it is a bad app per se.***
While businesses have the capability and resources to have a multi-layered security infrastructure to protect their data most[lxxviii]of[lxxix] the[lxxx] time[lxxxi], individuals don’t have the same security. As I write this there are privacy concerns[lxxxii] expressed about Waymo’s autonomous taxis. However, their mobile device is rarely out of physical reach and for many their laptop or tablet is similarly close. All of these devices tend to be used in concert with each other. So, for consumers having an on-device AI model makes the most sense. All of which results in a problem, how do technologists squeeze down their most complex models inside a laptop, tablet or smartphone?
The Washington Postalleged that the British government had served a technical capability notice against Apple in December 2024 to provide backdoor global access into encrypted Apple iCloud services. The BBC’s subsequent report appears to support the Post’s allegations. And begs philosophical question about what it means when the government has a copy of your ‘digital twin’?
What is a technical capability notice
A technical capability notice is a legal document. It is issued by the UK government that compels a telecoms provider or technology company that compels them to maintain the technical ability to assist with surveillance activities like interception of communications, equipment interference, or data acquisition. When applied to telecoms companies and internet service providers, it is usually UK only in scope. What is interesting about the technical capability notice allegedly served against Apple is extra-territorial in nature. The recipient of a technical capability notice, isn’t allowed to disclose that they’ve been served with the notice, let alone the scope of the ask.
Apple outlined a number of concerns to the UK parliament in March 2024:
Breaks systems
Lack of accountability in the secrecy
Extra-territoriality
Tl;DR – what the UK wants with technical capability notices is disproportionate.
Short history of privacy
The expectation of privacy in the UK is a relatively recent one. You can see British spy operations going back to at least the 16th century with Sir Francis Walsingham. Walsingham had a network that read couriered mail and cracked codes in Elizabethan England.
By Victorian times, you had Special Branch attached to the Metropolitan Police and related units across the British Empire. The Boer War saw Britain found permanent military intelligence units that was the forerunner of the current security services.
By world war one the security services as we now know them were formed. They were responsible to intercept mail, telegraph, radio transmissions and telephone conversations where needed.
Technology lept forward after World War 2.
ECHELON
ECHELON was a cold war era global signals intelligence network ran by Australia, Canada, New Zealand, the UK and the US. It originated in the late 1960s to monitor the military and diplomatic communications of the Soviet Union and its Eastern Bloc allies during the Cold War, the ECHELON project became formally established in 1971.
ECHELON was partly inspired by earlier US projects. Project SHAMROCK had started in 1940 and ran through to the 1970s photographing telegram communications in the US, or transiting through the US. Project MINARET tracked the electronic communications of listed American citizens who travelled abroad. They were helped in this process by British signals intelligence agency GCHQ.
In 2000, the European Commission filed a final report on ECHELON claimed that:
The US-led electronic intelligence-gathering network existed
It was used to provide US companies with a competitive advantage vis-à-vis their European peers; rather like US defence contractors have alleged to undergone by Chinese hackers
Capenhurst microwave tower
During the cold war, one of the main ways that Irish international data and voice calls were transmitted was via a microwave land bridge across England and on to the continent.
Dublin Dame Court to Holyhead, Llandudno and on to Heaton Park. Just next to the straight line path between Llandudno and Heaton Park was a 150 foot tower in Capenhurst on the Wirral. This siphoned off a copy of all Irish data into the British intelligence system. The Capenhurst tower wasn’t that secret, word got about it in the area after it had been built and pretty close guesses were made as to its usage.
Post-Echelon
After 9/11, there were widespread concerns about the US PATRIOT Act that obligated US internet platforms to provide their data to US government, wherever that data was hosted. After Echelon was exposed, it took Edward Snowden to reveal PRISM that showed how the NSA was hoovering up data from popular internet services such as Yahoo! and Google.
RAMPART-A was a similar operation taking data directly from the world’s major fibre-optic cables.
US programme BULLRUN and UK programme Edgehill were programmes designed to crack encrypted communications.
So privacy is a relatively new concept that relies the inability to process all the data taken in.
Going after the encrypted iCloud services hits different. We are all cyborgs now, smartphones are our machine augmentation and are seldom out of reach. Peering into the cloud ‘twin’ of our device is like peering into our heads. Giving indications of hopes, weaknesses and intent. Which can then be taken and interpreted in many different ways.
What would be the positive reasons to do a technical capability notice?
Crime
Increasing technological sophistication has gone hand in hand with the rise of organised crime groups and new criminal business models such as ‘Klad‘. Organised crime is also transnational in nature.
But criminals have already had access to dedicated criminal messaging networks, a couple of which were detailed in Joseph Cox’ Dark Wire . They use the dark web, Telegram and Facebook Marketplace as outlets for their sales.
According to Statista less than six percent of crimes in committed in the UK resulted in a charge or summons in 2023. That compares to just under 16 percent in 2015.
Is going after Apple really going to result in an increased conviction rate, or could the resources be better used elsewhere?
Public disorder
Both the 2011 and 2024 riots caught the government off-guard. Back in 2011, there was concern that the perpetrators were organising over secure BlackBerry messaging. The reality that the bulk of it was being done over social media. It was a similar case with the 2024 public disturbances as well.
So gaining access to iCloud data wouldn’t be that much help. Given the effort to filter through it, given that the signals and evidence were out there in public for everyone to see.
The big challenge for the police was marshalling sufficient resources and the online narrative that took on a momentum of its own.
Paedophiles
One of the politicians strongest cards to justify invasion of privacy is to protect against nonces, paedos and whatever other label you use to describe the distribution of child sexual abuse images. It’s a powerful, emotive subject that hits like a gut punch. The UK government has been trying to explore ways of understanding the size of abuse in the UK.
Most child abuse happens in the home, or by close family members. Child pornography rings are more complex with content being made around the world, repeatedly circulated for years though various media. A significant amount of the content is produced by minors themselves – such as selfies.
The government has a raft of recommendations to implement from the The Independent Inquiry into Child Sexual Abuse. These changes are more urgently needed like getting the police to pay attention to vulnerable working-class children when they come forward.
Terrorism
The UK government puts a lot of work into preventing and combating terrorism. What terrorism is has evolved over time. Historically, cells would mount terrorist attacks.
Eventually, the expectation of the protagonist surviving the attack changed with the advent of suicide tactics. Between 1945 and 1980, these were virtually unheard of. The pioneers seem to have been Hezbollah against UN peacekeepers in Lebanon.
This went on to influence 9/11 and the London bombings. The 9/11 commission found that the security services didn’t suffer from a lack of information, but challenges in processing and acting on the information.
More recently many attacks have been single actors, rather than a larger conspiracy. Much of the signs available was in their online spiral into radicalisation, whether its right-wingers looking to follow the example of The Turner Diaries, or those that look towards groups like ISIS.
Axel Rudakubana’s actions in Southport doesn’t currently fit into the UK government’s definition of terrorism because of his lack of ideology.
I am less sure what the case would be for being able to access every Apple’s cloud twin of their iPhone. The challenge seems to be in the volume of data and meta data to sift through, rather than a lack of data.
Pre-Crime
Mining data on enough smartphones over time may show up patterns that might indicate an intent to do a crime. Essentially the promise of predictive crime solving promised in the Tom Cruise dystopian speculative future film Minority Report.
Currently the UK legal system tends to focus on people having committed a crime, the closest we have to pre-crime was more intelligence led operations during The Troubles that were investigated by the yet to be published Stalker/Sampson Inquiry.
There are so many technical, philosophical and ethical issues with this concept – starting with what it means for free will.
What are the negative reasons for doing a technical capability notice?
The UK Government supports strong encryption and understands its importance for a free, open and secure internet and as part of creating a strong digital economy. We believe encryption is a necessary part of protecting our citizens’ data online and billions of people use it every day for a range of services including banking, commerce and communications. We do not want to compromise the wider safety or security of digital products and services for law abiding users or impose solutions on technology companies that may not work within their complex systems.
Extra-territorial reach
Concerns about the US PATRIOT Act and PRISM saw US technology companies lose commercial and government clients across Europe. Microsoft and Alphabet were impacted by losing business from the likes of UK defence contractor BAE Systems and the Swedish government.
The UK would likely experience a similar effect. Given that the UK is looking to biotechnology and technology as key sectors to drive economic growth, this is likely to have negative impact on:
British businesses looking to sell technology services abroad (DarkTrace, Detica and countless fintech businesses). They will lose existing business and struggle to make new sales.
Britain’s attractiveness to inbound investments be it software development, regional headquarter functions or infrastructure such as data centres. Having no exposure to the UK market may be more attractive to companies handling sensitive data.
You have seen a similar patten roll out in Hong Kong as more companies have moved regional headquarters to Singapore instead.
The scope of the technical capability notice, as it is perceived, damages UK arguments around freedom-of-speech. State surveillance is considered to have a chilling effect in civilian discussions and has been criticized in the past, yet the iCloud backdoor access could be considered to do the exactly same thing as the British government opposes in countries like China, Hong Kong and Iran.
Leverage
The UK government has a challenge in terms of the leverage that it can bring to bear on foreign technology multinationals. While the country has a sizeable market and talented workforce, it’s a small part of these companies global revenues and capabilities.
They can dial down services in the UK, or they can withdraw completely from the UK marketplace taking their jobs and infrastructure investment with them. Apple supports 550,000 jobs through direct employment, its supply chain, and the iOS app economy. In 2024, Apple claimed that it had invested over £18 billion over the previous five years.
In terms of the number of people employed through Apple, it’s a big number, let me try to bring it to life for you. Imagine for a moment if every vehicle factory (making cars, tractors,, construction vehicles, race cars and wagons), parts plant, research and development, MOT station, dealership and repair shop in the UK fired half their staff. That is the toll that Apple leaving the UK would have on unemployment.
Now think about how that would ripple through the community. Less goods bought in the supermarket, less pints poured in a pub or less frequent hair cuts given.
Where’s the power in the relationship between the tech sector and the government?
Precedent
Once it is rumoured that Apple has given into one country’s demands. The equivalent of technical capability notices are likely to be employed by governments around the world. Apple would find it hard not to provide similar access to other 5is countries, China, India and the Gulf states.
Even if they weren’t provided with access, it’s a lot easier to break in when you know that a backdoor already exists. A classic example of this in a different area is the shock-and-awe felt when DeepSeek demonstrated a more efficient version of a ChatGPT-like LLM. The team had a good understanding of what was possible and started from there.
The backdoor will be discovered, if not by hackers then by disclosure like the Capenhurst microwave tower that was known about soon after it went up, or by a Edward Snowden-like whistle-blower given the amount of people that would have access to that information in allied security apparatus.
This would leave people vulnerable from around the world to authoritarian regimes. The UK is currently home to thousands of political emigres from Hong Kong who are already under pressure from the organs of the Chinese state.
From a domestic point-of-view while the UK security services are likely to be extremely professional, their political masters can be of a more variable quality. An authoritarian populist leader could put backdoors allowed by a technical capability notice to good use.
Criminal access
The hackers used by intelligence services, especially those attributed to China and Russia have a reputation for double-dipping. Using it for their intelligence masters and then also looking to make a personal profit by nefarious means. Databases of iCloud data would be very tempting to exploit for criminal gain, or sell on to other criminals allowing them to mine bank accounts, credit cards, conduct retail fraud.
It could even be used against a country’s civilians and their economy as a form of hybrid warfare that would be hard to attribute.
In the past intelligence agencies were limited in terms of processing the sea of data that they obtained. But technology moves on, allowing more and more data to be sifted and processed over time.
What can you do?
You’ve got nothing to hide, so why worry? With the best will in the world, you do have things to hide, if not from the UK government then from foreign state actors and criminals – who are often the same people:
Your bank account and other financial related logins
Personal details
Messages that could be taken out of context
I am presuming that you don’t have your children’s photos on your social media where they can be easily mined and fuel online bullying. Your children’s photos on your phone could be deep faked by paedophiles or scammers.
Voice memos that can be used to train a voice scammer’s AI to be good enough
Client and proprietary information
Digital vehicle key
Access to academic credentials
Access to government services
So, what should you do?
Here’s some starting suggestions:
Get rid of your kids photos off your phone. Get a digital camera, have prints made to put in your wallet, a photo album book, use an electronic picture frame that can take an SD card of images and doesn’t connect to the web or use a cloud service.
Set up multi-factor authentication on passwords if you can. It won’t protect you against a government, but it will make life a bit more difficult for criminals who may move on to hacking someone else’s account instead – given that there is a criminal eco-system to sell data en-masse.
Use the Apple password app to generate passwords, but keep the record off them offline in a notebook. If you are writing them down, have two copies and use legible handwriting.
You could delete ‘important’ contacts from your address book and use an old school filofax or Rolodex frame for them instead. You’re not likely to be able to do this with all your contacts, it wouldn’t be practical. If you are writing them down, have two copies and use legible handwriting.
Have a code word with loved ones. Given that a dump of your iCloud service may include enough training data for a good voice AI, having a code word to use with your loved ones could prevent them from getting scammed. I put this in place ages ago as there is enough video out there on the internet of me in a public speaking scenario to train a passable voice generative AI tool.
Use Signal for messaging with family and commercially sensitive conversations.
My friend and former Mac journalist Ian Betteridgerecommended using an alternative service like Swiss-based Proton Cloud. He points out that they are out of the legal jurisdiction of both the US and UK. However, one has to consider history – Crypto AG was a Swiss-based cryptography company actually owned by the CIA. It gave the intelligence agency access to secure communications of 120 countries including India, Pakistan and the Holy See. Numerous intelligence services including the Swiss benefited from the intelligence gained. So consider carefully what you save to the cloud.
if you are not resident in the UK, consider using ‘burn devices’ with separate cloud services. When I worked abroad, we had to do client visits in an authoritarian country. I took a different cellphone and laptop to protect commercially sensitive information. When I returned these were both hard reset by the IT guy and were ready for future visits. Both devices only used a subset of my data and didn’t connect to my normal cloud services, reducing the risk of infiltration and contamination. The mindset of wanting to access cloud services around the world may be just the thin end of the wedge. Countries generally don’t put down industrial and political espionage as justifications for their intelligence services powers.
What can criminals do?
Criminals already have experience procuring dedicated secure messaging services.
While both dark web services and messaging platforms have been shut down, there is an opportunity to move the infrastructure into geographies that are less accessible to western law enforcement: China, Hong Kong, Macau or Russia for instance. A technical capability notice is of no use. The security services have two options to catch criminals out:
Obtain end devices on the criminal:
While they are unlocked and put them in a faraday cage to prevent the device from being wiped remotely.
Have an informant give you access to their device.
Crack the platform:
Through hacking
Setting the platform up as a sting in the first place.
If the two criminals are known to each other a second option is to go old school using a one-time pad. This might be both having the same edition of a book with each letter or word advancing through the book .
So if you used the word ‘cat’ as the fourth word on line 3 of page 2 in a book you might get something like 4.3.2, which will mean nothing if you don’t have the same book and if the person who wrote the message or their correspondent don’t use 4.3.2 to signify cat again. Instead they would move onwards through the book to find the next ‘cat’ word. A sleuthing cryptographer may be able to guess your method of encryption by the increasing numbers, but unless they know the book your feline secret is secure from their efforts.
Above is two pages from an old one-time pad issued by the NSA called DIANA.
The point is, those criminals that really want to evade security service understanding their business can do. Many criminals in the UK are more likely to rely on a certain amount of basic tactics (gloves, concealing their face, threatening witnesses) and the low crime clearance rate in the UK.
Instead of a technical capability notice, these criminals are usually caught by things like meta analysis (who is calling who, who is messaging who, who is transferring money etc.), investigative police work including stings, surveillance and informers.
Why?
Which begs the questions:
Why Apple and why did they choose to serve it in December 2024?
What trade-offs have the UK government factored in considering the potiential impact on its economic growth agenda and political ramifications?
The who-and-why of the leak itself? Finally, the timing of the leak was interesting, in the early days of the Trump administration.
I don’t know how I feel about the alleged technical capability notice and have more questions than answers.
The rise of luxury wellness comes down to a convergence of different factors that have reshaped both the luxury and wellness industries.
Products ain’t what they used to be
Existing high-end health and luxury wellness
Luxury wellness and consumer behaviours
Wellness has become blended with health, providing opportunities for luxury brands.
GLP-1 changed everything
Products ain’t what they used to be
Before we dive into luxury wellness, it’s helpful to understand where the luxury industry stands at the moment. The strategies that have worked since the early 1980s now seem to have come unstuck. To make sense of this shift, it’s worth reviewing the past and current landscape.
The new luxury
There’s a perception (which I believe is largely false) that the traditional attributes of luxury have fallen by the wayside. Scarcity, quality, craftsmanship, design, and heritage are thought to no longer matter.
A classic example of this viewpoint is Jaguar’s attempt to discard its heritage and reinvent itself as something new. I would argue that while Jaguar may have been prestigious in automotive terms, it was never truly a luxury brand. Jaguars suffered from quality issues that should not have occurred, and they struggled in the premium segment of the market, remaining loss-making for years. Whether or not Jaguar will succeed in transforming into an electric competitor to Rolls-Royce remains to be seen.
Another aspect to consider is how global supply chains can now deliver products of comparable quality to those made by artisans. I have a bit more sympathy for this viewpoint. However, these global supply chains were originally trained to act as subcontractors for luxury brands that pursued massification, cutting quality standards along the way.
Consumers seem to undergo a ‘luxury maturity journey’. This journey is accelerating in certain markets. What Japan experienced over 30 years, China went through in just 10. Countries like Thailand are even moving through this journey faster. Over time, consumers in these markets have begun to move away from obvious logos and status symbols to place greater value on quality and experiences. This shift partly explains why quiet luxury is gained traction around the world.
In countries like China and India, local artisans and ateliers are highly appreciated. This shift means that historic luxury brands are likely to face disruption, just as other sectors have been transformed by Chinese firms. And this is happening at a time when many luxury brands are becoming less ‘luxurious’ by opting for a global mass-market approach.
The pioneer in this approach was fashion designer Pierre Cardin.
Pioneer Pierre Cardin
Luxury went downmarket through licensing, a strategy pioneered by fashion designer Pierre Cardin. In the early 1970s, he saw the potential of licensing, recognising that the demand for goods bearing a fashionable name presented a lucrative opportunity. Cardin’s insight was that luxury goods, in the post-war economic boom, were no longer only for the ultra-wealthy but also for the middle class. His brand signed over 850 agreements in 140+ countries, covering everything from clothing and accessories to furniture, household products, cars, and fragrances.
The ubiquity of Pierre Cardin products diluted scarcity, quality, and blurred the brand story. He later repeated this process with French restaurant Maxim’s, demonstrating that luxury was as much about experience as it was about the product.
When you could buy a Pierre Cardin wallet or suitcase from Argos, what did it say about you? It certainly wasn’t a great status symbol. Other brands, like Ralph Lauren, did a better job of choosing their licensees.
LVMH leads the way
Bernard Arnault supercharged a formula for Louis Vuitton that Henry Racamier had pioneered when he built out an international network of Louis Vuitton-owned boutiques, including Tokyo and Osaka, Japan by 1978.
Racamier’s formula consisted of two parts:
Louis Vuitton sold to the middle class as well as the very wealthy.
Louis Vuitton controlled its products route to market offering control over the experience, premium pricing and perceived aspects of scarcity.
For the next four decades, LVMH went on a remarkable growth trajectory, acquiring luxury and beauty brands, duty-free retail, and even hotels. LVMH rode the rise of Japan, up to the end of the bubble economy, then moved on to Korea, Singapore, and Hong Kong. China’s luxury market skyrocketed when the country joined the WTO, solidifying its place in the global economy.
The United States continued to be a steady consumer of luxury products.
During the 1990s, French retailer Pinault-Printemps-Redoute (PPR), now known as Kering, began replicating LVMH’s success, starting its own luxury conglomerate with the acquisition of Gucci in 1999. Meanwhile, Richemont acquired a number of legacy luxury brands as an adjunct to its predecessor’s tobacco business in the early 1990s and then continued to build.
The internet expanded access to luxury products through multi-brand retailers like Net-A-Porter and Farfetch, driving significant growth. These online retailers competed with top-tier department stores like Bon Marché, Lane Crawford, and Harrods, who slowly built up their e-commerce capabilities.
Eventually, brands embraced direct-to-consumer online stores to complement their global networks of boutiques. This shift is why newer mass-market multi-brand online boutiques have struggled:
Matchesfashion went into administration and took Browns with it.
Farfetch was sold in a firesale to Korean e-tailer Coupang.
YOOX was merged with Net-A-Porter and eventually bought out by MyTheresa from Richemont.
Even luxury brands themselves have encountered a few hurdles along the way:
The end of Japan’s asset bubble in 1992
2008 financial crisis
Xi Jinping’s move towards common prosperity which peaked in campaigns during 2013 & 2021
COVID-19 and post-COVID economy
Luxury sector fallout
By mid-2023, the luxury industry started to show signs of stagnation, with low or no growth. Multi-brand luxury e-commerce sites either went bankrupt or were bought out. A few notable beneficiaries included:
Mytheresa – a German e-tailer that focused on the wealthiest clients in this sector rather than broader middle class appeal.
Hermès – who are focused on the high end of the luxury market.
Brunello Cucinelli – a focused ‘quiet luxury’ brand known for their high-end cashmere garments
The key issue with many luxury brands (Burberry being a prime example) is that they lost the essence of what made them truly luxurious. As they shifted from style to fashion, and from artisan craftsmanship to mass production in China, they lost their uniqueness or incomparability as Jean-Noël Kapferer put it.
While champagne can only come from the region around Reims, most Burberry products are made in China, with only two remaining factories in the UK, including a textile mill.
The key issue with many luxury brands (Burberry being a prime example) is that they lost the essence of what made them truly luxurious. As they moved from style to fashion, and, artisan to Made In China – they lost uniqueness or incomparability as Jean-Noël Kapferer would describe it.
While champagne can only come from the region around the city of Reims, most Burberry products are made in China as well as a couple of remaining factories in the UK – one of which is a textile mill.
A second aspect of the change was blurring the line between streetwear and luxury brands. Luxury looked cheap and streetwear looked exceptionally premium. The nadir was Balenciaga’s collaboration with sports apparel brand Under Armour.
Ways forward
Given that the mass growth of luxury products has hit a ceiling, what options do luxury companies have?
The focus has been a slow pivot to services and experiences. For instance, Panerai has the Panerai Xperience Programme where purchasing a limited edition watch gives you access to unique experiences, such as training with US or Italian special forces operators.
LVMH owns three luxury hotel chains: Cheval Blanc, Bulgari Hotels & Resorts, and Belmond. Dior has spas in Cheval Blanc Paris and other non-LVMH hotels like The Dorchester in London. The increasing focus on wellness makes sense for luxury conglomerates.
Given the challenging circumstances in the luxury sector, Infosys’ outlook for luxury wellness presents a tempting opportunity. The global premium and luxury wellness segments have been performing well. The global market for luxury items was valued at approximately $366.2 billion in 2023 and is projected to expand at a CAGR of 6.8% from 2024. By comparison the Swiss watch industry is projected to grow by less than three percent.
Existing high-end health and luxury wellness
Luxury wellness has already been well established, there high end spas and resorts are in numerous countries, in particular Switzerland and Germany. Some of these are within large hotel groups like Mandarin Oriental.
There is also a range of multi-generation family owned businesses with low-key brands and expertise that would be hard to replicate. Some of these businesses may go back as far as the middle ages. For instance, Grand Resort Bad Ragaz can trace its history as a source of ‘health and vitality’ since 1242.
German doctor Alexander Spengler was responsible for attracting rich medical tourists to Switzerland in 1853, convinced of the benefits of clean mountain air.
Switzerland, in particular, started to benefit from an agglomeration of medical expertise; for instance Davos was known for specialising in pulmonary health with dedicated spas.
Switzerland’s continued lead in private healthcare has had a positive knock-on effect in wellness related products and services. This is particularly apropos given Swiss offerings focusing on longevity.
In marketing terms ‘Swiss formula’ is used to sell St Ive’s beauty products and a range of multi-vitamin products by various brands. St Ives has an American origin, being part of Alberto Culver, which was then bought by Unilever.
While Spengler was enamoured with Switzerland, Germany has a long history of health resorts especially thermal spas. It also has a network of world-leading private medical clinics similar to Switzerland.
German high-end health resort company Lanserhof is a relative newcomer. Over four decades they have progressively built their offering with a strong focus on longevity.
Luxury conglomerates have an opportunity, and are used to accumulating small family brands. But it it is a long term project for them to go into the market place. Blurring the line between its beauty products and wellness is an easier ask, hence, Dior’s spa offering.
Gulf countries are looking to provide services in this area and have made big strides in building capability to attract medical tourism, which is the backbone from which a country brand in luxury wellness can be built.
The current luxury wellness space is diverse fragmented and caters for a wide range of health needs from medical to relaxation.
Luxury wellness and consumer behaviours
More people are prioritising their health, taking a holistic view to wellness encompassing both physical, emotional and mental health, what Statista described as ‘omni-wellness’. They are driving demand for products and experiences that support this lifestyle. This includes everything from exercise, self-care, and sobriety to getting private tests run to double-check, or instead of seeing their doctor.
Coming out of COVID-19, there was an increased consumer focus on a number of different aspects of health and wellness:
Sleep quality
Mental health
‘Immune’ health
This intersects with the luxury market as consumers are willing to invest in premium products and services that enhance their well-being.
On the high-end what does luxury wellness look like?
Personalised wellness experiences. Consumers look for customised solutions based on their individual wants and needs. Technology and data enabled brands like L’Oreal and Unilever to offer individual recommendations and drive consumer engagement. Technology integration has been a key enabler.
Health and beauty interconnection. Consumers spend more in products and experiences that enhance their well-being, these are opportunities for the premium and luxury industries. Consumers see well-being products and experiences as an investment in themselves, with the concepts health and beauty as inseparable in their minds, particularly for younger cohorts.
Scientifically-backed products rather than more ‘new age’ or alternative therapies. Consumers have increased interest in beauty innovations that leverage technology and scientific evidence to address their needs. There is a latent demand for evidence around the world, Mintel cited 85% of Indian consumers agreed that beauty brands should provide more scientific evidence to validate their claims. This is notable given the rise over the past decade of guru Baba Ramdev and his brand Patanjali Ayurved that sells traditional products in the personal care category.
Longevity. Silicon Valley has been obsessed with longevity, the go-to example being Bryan Johnson. Kantar claims that a desire for longevity has moved beyond Silicon Valley. Consumers are prioritising longevity; looking for preventative solutions that support wellness at every life stage. This presents opportunities to offer products and services that for specific age-related concerns.
But medicince itself has thrown up a wildcard for the luxury sector including luxury wellness.
GLP-1 changed everything for luxury
I worked on the global launch of a weight management drug that went on to become used more by the rich and famous than the people it was intended for. If I had one a-ha moment, it occurred during an episode of South Park.
“Rich people get Ozempic, poor people get body positivity”
The rate of growth in these drugs is slowing down but not before GLP-1s had affected consumption habits. Size inclusivity that had been making progress in fashion was thrown into reverse.
There is anecdotal evidence that GLP-1 drugs don’t only change the patient’s relationship with food, but also affects enjoyment in general. This has hit premium alcohol sales and high-end restaurants. The idea of ‘lack of desire’ has implications for the concept of luxury in general.
Every trend has a counter-indicator
Trends are never a clean absolute truth. There is almost a Newtonian push in the opposite direction. Political and socially progressive movements begat a corresponding reactionary movement based around online personalities and political populism.
It would be remiss of me if I only showed you one side of the coin on luxury wellness. Haines McGregor have a perspective that claims that self-care has been replaced by indulgence, which feels at odds with the direction of travel for luxury wellness. Examples of indulgent brands include:
Where to start with multisensory marketing | WARC – 61% of consumers looking for brands that can “ignite intense emotions”. Immersive experiences that are holistic tap into people’s emotions and linger in the memory. It’s also an opportunity for using powerful storytelling to communicate a brand story.
How Ozempic is reshaping the resale market | Vogue Business – Poshmark’s data reveals a significant surge in plus-size women’s apparel listings on the platform over the past two years, including a 103 per cent increase in size 3XL listings, 80 per cent in size 4XL, and a 73 per cent rise in size 5XL. The company also reported a 78 per cent increase in new listings mentioning “weight loss” in the title or description as sellers look to get rid of items that no longer fit.
The consequences of the psychoboom are both logical and contradictory. As the Chinese economy has expanded and citizens have grown wealthier, the demands of everyday life have grown in number and kind, expanding from physiological and safety concerns to a desire for love, esteem, and self-actualization. At the same time, such desires run counter to traditional Chinese values like the age-old concept of Confucian filial piety and the relatively new ideology imposed by the Chinese Communist Party (CCP), both of which place the well-being of the collective above the happiness of the individual.
CNY 2025 or Chinese new year 2025 is shorthand often used as a hashtag on social media to circulate songs, sales promotions and advertisements from across China, Hong Kong, Indonesia, Singapore and Malaysia. I started off this post into gathering some of the best examples of CNY 2025 advertising just after Christmas and there was a poor range of adverts just a month out from CNY 2025. Imagine if there were no Christmas adverts appearing by the third week in November?
Small businesses like the Davely Bakery Café in Malaysia had started promoting organic social content on their Facebook page by November 19. (In markets such as the Philippines, Hong Kong and Malaysia, Facebook is still big business.)
But where were the large company promotions this close to the festival? Brand campaigns only really started to appear from the second week in January onwards.
CNY 2025 themes that I took away from researching this post:
Increased emphasis on demand generation and sales promotions.
Less big brands advertising than previous years.
Campaigns were run over a shorter period. Roughly half the six weeks I would have expected for successful brand building campaigns.
Less of a focus on storytelling and deep emotional cues than previous years.
Lower production values as a whole than previous years.
A move towards bus wraps in Singapore for CNY 2025 campaigns. These were replicated in ‘bus simulator’ games popular amongst transport fans in Hong Kong and Singapore. This replication was less about a ‘brand gaming strategy’ and more about fan curated bus skins for absolute fidelity to their favourite bus routes.
Less emphasis on creative consistency than in previous years.
Shorter ads, each with a lot of 15-second edits.
Increased use of humour.
Increased use of songs, presumably to gain earned and shared media support – very hard to do successfully as a strategy when there are so many songs to choose from.
Lazy use of celebrities – I hadn’t see this in previous years doing this.
As a marketer, I saw things in CNY 2025 that I thought was good and things that I worried about in these changes between CNY 2025 and previous years:
Smarter memory structure building: fluent objects such as Kevin the First Pride nugget, the use of jingles and ear worm songs, the use of humour
Red flags for brand mental availablility: a lack of creative consistency, shorter ads and lazy use of celebrities. Shorter ads can, if done right be used to build brand, BUT, there are a number of factors to consider when doing it successfully. These include variety of formats, reach / marketing penetration, repetition, single-minded creative execution and the thumb-stopping factor.
Reading the ‘tea leaves’ I suspect that marketing budgets have been cut, and brands might not be expecting as much of an uplift this year as China’s poor economic performance affects its neighbours.
China
Apple
Apple continued its shot on an iPhone series. The Chinese New Year film is run in lots of markets but primarily made for China. I am surprised that this got past the censors. Time travel is usually a a no-no. It also reminds China’s currency economically challenged consumers of the 1990s go-go years of year-on-year double digit growth. The core aspect of the creative is the direct questions that younger family members receive.
CNY 2025 is the first time that Apple didn’t have a Chinese film maker shot its film. Finally, Apple’s film comes in at a whooping 11 minutes 59 seconds although a good minutes is the credits.
Bottega Veneta
Bottega Veneta’s Chinese New Year film is all about vibes. There were some interesting styling choices in the film. The older guy with the women’s hand bag. That most of it seemed to be around older alleyways that have been refurbished. The lady in the 1980s era Jaguar. Pre-1997, a number of more anglophile Hong Kong businessmen used to get driven around in Jaguar and Daimler cars with a large V12 engine – that spoke to old money in this film.
I was stuck by the lack of explicit references to new year, which you can also see in the Miu Miu film – what there is are more subtle cues.
All of which is a world away from many luxury brands slapping a snake on everything this year.
Gucci
Gucci taps into the traditional multi-generational party and memories of ‘snake’ new years of the past. It’s probably the strongest bit of storytelling and the most cinematic of all the films that I have looked at this year.
Miu Miu
Prada sub-brand Miu Miu is one of the few stand out brands in a tough 2024 for the luxury sector. This Chinese New Year film is playful, borrowing from Asian mid-century set design and 1990s era Chinese electronica to tell a small story.
Hong Kong
Coca-Cola
Coca-Cola has a dominant position in the soft drinks market thanks to its dominance in distribution. The only places I could buy Pepsi was in my local Pizza Hut when I lived there. This year they focused on out of home posters to reinforce memory structures. The unusual aspect to the campaign was that it went up in early February at the end of Chinese New Year. That’s a bit like launching your Christmas advertising on New Year’s Eve. Not sure why that’s happened.
Giordano
Multinational clothing brand Giordano promoted a CNY 2025 collaboration featuring the Kung Fu Panda character on its social media accounts. The preponderance of red in the clothing isn’t only about it being a seasonal colour, but also you are supposed to wear new red clothing for the new year.
This social media film was run on channels in Hong Kong, Malaysia and other countries where Giordano has a presence.
Malaysia
100PLUS
100PLUS is an isotonic drink similar in function to Gatorade or Lucozade Sport popular in Malaysia and Singapore. Its advert for Malaysia promotes the drink as alternative to colas during new year celebrations. A secondary aspect is the opportunity to win a free prize draw. The blue in the outfits is to presumably signal the blue in the brand and packaging.
It’s slightly unusual in that it doesn’t feature multi-generational family members, which I suspect is down to a single-minded focus on teens and young adults.
Aeon
Japanese supermarket Aeon highlighted their CNY themed collaboration with Italian artist TokiDoki as a music video format that you could sing along too. It’s a little too mild to be an aggressive earworm of a tune.
Aglow Clinic
Aglow Clinic is an aesthetics clinic in Malaysia that treats a range of skin conditions including sun spots. They partnered with social media personality Roderic Chan to make this film. Considering the small size of the brand they hit well above their weight in terms of production values.
Aiken
Aiken is a Malaysian based beauty brand. The creative was done by the media buying agency and features Malaysian influencers as the talent in the advertisement.
Aiken wishes you Double the Brightness for a Brighter Year! is clever word play that implicitly links feeling beautiful and the promise of good fortune. This advert went out very late into the market for 2025.
Carina
Carina is a household tissue brand in Malaysia, similar to Kleenex in the UK and Ireland. It has gone down the ear worm route with its song. The montage of footage feels crowdsourced.
Eu Yan Sang
Eu Yan Sang did separate creative for Malaysia. There are higher production values than their Singapore creative and storytelling that ties back to creating memories and tradition being a key part of Chinese New Year. The advert sought to show that the family weren’t wealthy, but had food on their plate, good manners and retained their cultural roots. As a first-generation emigrant myself this one spoke to me.
First Pride
Tyson Foods First Pride range of processed chicken product including chicken nuggets and satay slices featured a simple sales promotion with a sweepstake format. The advert also introduced a fluent object ‘Kevin’ the chicken nugget on a TV advert.
Kevin had previously been shared only on out of home formats. It would be interesting to see if and how they make future use of Kevin.
Guardian
Guardian is the Malaysian brand of the better known Asian pharmacy retail chain better known as Mannings in Hong Kong and China. A UK analogue would be Boots. It has higher production values and evokes togetherness, good fortune and memory-making for our young protagonist. Click here to see on YouTube.
Haier
Chinese white goods manufacturer took an unconventional storytelling approach. it’s the kind of creative concept that could be used year on year, just changing the product line-up.
Harvey Norman
Electrical retailer Harvey Norman ties into the fact that bargains are a constant discussion around the table during Chinese New Year (and any other family gathering). The production feels rather low rent compared to other adverts here.
HongLeong Bank
HongLeong Bank took the story of two customers that fitted neatly with the festivities around Chinese New Year. It gives a good old tug on the heart strings.
Julie’s
Julie’s a is a biscuit brand that tries to focus on the human side of food. Given the visiting and gifting culture for Chinese new year – the opportunity is ideal for its brand. I was surprised by the high production values of the advert. The 3d animation is creatively consistent with work that they’ve put out over the past year. As a direction the CNY 2025 campaign is very different from their last festival campaign for CNY 2022.
Julie’s can continue to run this campaign after CNY 2025 is over due to the lack of overt seasonal themes in the advert.
KitKat
KitKat Malaysia have attached the Chinese New Year creative back to ‘have a break, have a KitKat’ for creative consistency. There is enough in here to say new year. But a sufficiently light touch that they could use it year-in, year-out – so long as the brand uses the same promotional packaging design.
If they had used snake imagery, it would be one-and-done.
Knife
Knife are a food flavourings brand from Malaysia. Their main advertising push is for Chinese New Year and they have made a constant effort to bring creative consistency and storytelling into their work. CNY 2025 is no exception to this approach.
https://youtu.be/Oxo8jP-67tE?si=aSnwKB5YVxoT96z_
Lay’s crisps
Lay’s (known as Walkers in the UK) highlight their role as a snack at new year’s gatherings. The ad promotes a new year themed sweepstake including mahjong sets.
Lotus’s
Lotus’s is a supermarket market chain. In Malaysia, the shops were formerly Tesco Malaysia and sold on to a Thai retail group. This film focuses on the stress of preparing for new year, together with sales promotions. Aside from holding red t-shirts with the ‘Fu’ symbol on them, this sales promotion video could be for any time of the year. The 1970s called and wants it’s ad creative back from this Malaysian supermarket chain.
Melinda Looi
Malaysian fashion designer Melinda Looi came up with a homage to Wong Ka wai’s In The Mood For Love. The advert nails the mid-century elegance but struggles to get the cinematic richness and tension of the original.
I respect that they gave it a good try and love their ambition; but it’s like Ted Baker trying to pull off the introduction to The Italian Job.
Mr DIY
Mr DIY is a hardware chain similar to Lowe’s in the US or B&Q in the UK. Their advert riffs on the heightened tensions of family get togethers and the relative popularity in Hong Kong film making of court room dramas – to add a bit of cultural relevance. It taps into the stressor of very direct questions similar to BRANDS Singapore campaign.
Mr Muscle
Household cleaner brand Mr Muscle had a Korean celebrity record a CNY 2025 specific message for their Facebook page viewers.
The advert features Korean drama and film actor Kim Seon Ho. In common with other Korean celebrities he endorses a variety of brands in Korea and other Asian countries. For some of the brands endorsed, they have had record sales which they attribute to working with Kim. It’s not sophisticated but will appeal to his many fans in Malaysia.
Munchy’s
Munchy Food Brands is a Malaysian snack brand. The advert itself is pretty self explanatory. Like Watson’s they are leaning hard into trying to create an ear worm to aid long term brand recall that’s complete with an EDM-style drop.
Nivea
Nivea looked to promote their men’s products as a way to solve for the stress of direct family feedback on how you look. It has been shot for mobile.
Pantai Hospital
Pantai Medical Group runs a private hospital in Malaysia that caters to more well-off Malaysians. The emphasis on healthy food in the advert relates to the central role that food plays in Chinese New Year celebrations.
Their elective treatments are likely to be quiet during CNY 2025, so they have provided the option for health-focused external catering. It’s an interesting product innovation for those close to their hospital in Penang. The behind the scenes clips at the end draws on Korean and Hong Kong productions. The best known in the West would be the blooper reels that used to appear at the end of Jackie Chan films.
https://youtu.be/2tKxHrCldts?si=WIQqF1PRPsyzdKEG
Petronas
Petronas is the Malaysian national oil company. There is a natural fit with CNY 2025 because children go home to see their parents and siblings. Later on during the celebrations they will drive to visit relatives. On the Malaysian peninsula you could be a long time in heavy traffic, so pit-stops for fuel and refreshments are pretty much obligatory.
Ribena
Brutally short creative with the tagline left right at the end. ‘Ooo Juicy Fu’ – the fu is a reference to the Chinese character fu symbolising ‘fortune’. It is creatively consistent with campaigns that Ribera ran for Ramadan and the previous CNY in Malaysia.
Shopee
Shopee is a mobile marketplace think Shopify, Depop or Uber Eats in an app. Like Watsons Malaysian campaign it relies on a ‘new years’ song. Why a song? Entertainment during Chinese new year features newly composed catchy earworms. These may come from film series put out as family entertainment for the new year like the All’s Well, That Ends Well series of Hong Kong comedies, or television and adverts.
Watsons
Watsons is a Hong Kong-headquartered pharmacy chain with stores across Asia and a strong focus on health and beauty products. It’s parent company AS Watson is a set of diversified retail brands including:
Superdrug and Savers in the UK
Rossmann
Fortress (a PC World or Best Buy analogue)
PARKnSHOP, Taste, FUSION, GREAT FOOD HALL – grocery stores
Watson’s Wine
They have been teasing a song related Chinese New Year campaign for Malaysia to embed in your memory structures, but were only showcasing the song 2 1/2 weeks before CNY 2025. Rapid screening of sales promotions drown out the ‘Happy Beautiful Year’ themed brand building effort.
https://youtu.be/KpAXOYxxGvc?si=jzwNGGW5HXz8pbHk
Yakult
The Japanese yoghurt drink brand used some good fortune themed imagery to promote a brand sweepstake. A very simple execution that could be used again in future years.
Singapore
BRANDS
BRANDS is a food and supplement business. Traditional Chinese Medicine often recommends eating particular foods to treat different ailments, which is why BRANDS essence of chicken sits in a kind of ‘wellness’ space.
Their advert draws on the universal experience of very direct questions that people have to field from relatives when they go home for Chinese new year.
Eu Yan Sang
Eu Yan Sang run traditional Chinese medicine and related wellness foods shops and clinics across Asia. This Singapore ad focuses on the challenge of gift giving and the close link between good fortune and good health. Unusually, they’ve also run a second lot of creative promoting their CNY themed hamper designs as well.
https://youtu.be/dGc3_cDjtCA?si=pTA3fXpeL481jw-P
FairPrice
FairPrice is a Singapore institution. Like the UK’s Co-op, it is a supermarket owned by the National Trade Union Congress and is the largest grocery chain in Singapore owning both supermarkets and convenience stores.
The ad focuses on everyday Singaporeans with many of the shots modelled on HDB flats – Singapore’s public housing. The colour grading and small moments designed to evoke different types of nostalgia from the rituals of family and the Chinese New Year.
Hockhua tonic
Hockhua is a Singaporean local wellness foods brand who did a simple sales promotion for their hampers to be provided for the new year. The cut-off time then gave the brand a few weeks to assemble to the appropriate amount of hampers.
Lazada
E-tailer Lazada leads with sales promotions. The imagery draws on Fu xing, the god of good fortune who you would pray to in order to get a prosperous new year.
Ministry of Digital Development and Information
The government of Singapore used Chinese new year to reinforce a common Singaporean identity and celebrate the 60th anniversary of the city state. Sing-a-longs are a part of Chinese new year. The video featured a 1980s song that was originally recored by the artists in 1998 re-recorded by them for the government department encouraging t he citizens to look out for each other. The video was published just days before new year and relied primarily on the reach of the former prime minister’s Instagram account. It shares a common theme of small but joyful moments with the FairPrice CNY 2025 advert.
Thailand
This is the first year that I have covered a Thai market campaign. Thailand has a significant ethnic Chinese minority (between 10 – 15% of the population depending on which estimates you reference). Like Indonesia, Thailand integrated them for political reasons and many of them no longer have Chinese sounding family names – but the traditions live on. A second aspect is the increased role in the Thai economy that Chinese expats and tourists now play.
Central
Central is a premium department store in Thailand (think Peter Jones in London) and has a mid-tier brand called Robinsons (think Debenhams or House of Fraser). You have a stylistic version of the new year dinner and a cool grandfather who owes a lot to mature Japanese hipsters and The Sartorialist. The film has high production values and leans on vibes rather than storytelling, but is distinctive.
You can find my previous reviews of Chinese New Year ads here.
