Category: web of no web | 無處不在的技術 | 보급 기술 | 普及したテクノロジー
The web of no web came out of a course that I taught at the La Salle School of Business at the University Ramon Llull in Barcelona on interactive media to a bunch of Spanish executive MBA students. The university wanted an expert from industry and they happened to find me by happenstance. I remember contact was made via LinkedIn.
I spent a couple of weeks putting together a course. But I didn’t find material that covered many of things that I thought were important and happening around us. They had been percolating around the back of my mind at the time as I saw connections between a number of technologies that were fostering a new direction. Terms like web 2.0 and where 2.0 covered contributing factors, but were too silo-ed
So far people’s online experience had been mediated through a web browser or an email client. But that was changing, VR wasn’t successful at the time but it was interesting. More importantly the real world and the online world were coming together. We had:
Mobile connectivity and wi-fi
QRcodes
SMS to Twitter publishing at the time
You could phone up Google to do searches (in the US)
Digital integration in geocaching as a hobby
The Nintendo Wii controller allowed us to interact with media in new ways
Shazam would listen to music and tell you what song it was
Where 2.0: Flickr maps, Nokia maps, Yahoo!’s Fireeagle and Dopplr – integrated location with online
Smartphones seemed to have moved beyond business users
Charlene Li described the future of social networks as ‘being like air’, being all around us. So I wrapped up all in an idea called web of no web. I was heavily influenced by Bruce Lee’s description of jeet kune do – ‘using way as no way’ and ‘having no limitation as limitation’. That’s where the terminology that I used came from. This seemed to chime with the ideas that I was seeing and tried to capture.
Anthropic and the US Department of Defense defined the debate about AI for the start of March. Trying to understand the truth is murky.
The media pitches a clash of personalities between Pete Hegseth and Anthropic CEO Dario Amodei.
Anthropic’s Claude LLMs have a number of points of expertise from helping programmers develop software code more quickly to assisted decision making and automation.
Anthropic had concerns about weapons with no humans in the loop, but you could consider ‘fire-and-forget’ weapons are already the same thing. This would include the FGM-148 ‘St’ Javelin anti-tank missile successfully used by the Ukrainians or the British Brimstone air-to-ground missile.
Fire-and-forget saves lives, autonomous vehicles in areas like casualty evacuation and supply runs could save more lives. The Anthropic breakdown seems to be down to trust. Anthropic felt that its models weren’t ready for full autonomy of operation and there were also concerns about facilitating mass surveillance of Americans.
There seems to be undertones of taking action against a ‘woke’ company. Why Anthropic seemed to have been able to double down is the limited impact they claim it will have on their business.
And yes the term ‘seem’ is doing a lot of heavy lifting due to difficulty in discerning what is going on.
China
China: Quieter, more fretful than I remember – by Whipling – it’s immediately obvious there is a current vibe in China. It isn’t frantic. It isn’t charged. It appears to be a collective sigh. Pride at what’s been achieved; acknowledgement that things are going to stop improving at the speed they forever have; resignation that life will be a little bit harder hereon in; and gratitude that there are messier places around the world to live. Many terms have been thrown at interpreting elements of this current behaviour in China. “Involution”. “Lie Flat”. I’ll add another: “Eh, fine.”
Why Everyone Is Suddenly in a ‘Very Chinese Time’ in Their Lives | WIRED – As is often the case with Western narratives about China, these memes are not really meant to paint an accurate picture of life in the country. Instead, they function as a projection of “all of the undesirable aspects of American life—or the decay of the American dream,” says Tianyu Fang, a PhD researcher at Harvard who studies science and technology in China.
At a moment when America’s infrastructure is crumbling and once-unthinkable forms of state violence are being normalized, China is starting to look pretty good in contrast. “When people say it’s the Chinese century, part of that is this ironic defeat,” says Fang.
As the Trump administration remade the US government in its own image and smashed long-standing democratic norms, people started yearning for an alternative role model, and they found a pretty good one in China. With its awe-inspiring skylines and abundant high-speed trains, the country serves as a symbol of the earnest and urgent desire among many Americans for something completely different from their own realities.
Alibaba’s Qwen App Commits ￥30B to Chinese New Year AI Giveaway Campaign | Pandaily – China’s tech giants are using the Lunar New Year — the world’s largest annual migration — to turn niche AI assistants into household names. They are betting billions that “Red Packet” marketing can do for AI what it did for mobile payments a decade ago.
Former Alibaba Executives Join Robot Leasing Platform BotShare as President and CSO – Pandaily – Li Liheng, former head instructor of Alibaba’s renowned B2B sales force known as the “China Supplier Iron Army,” has joined robot leasing platform BotShare as President. He will be joined by Wang Mingfeng (Tianxiang)—another Alibaba veteran previously responsible for management training under Alibaba’s “Three Axes” leadership framework—who will serve as Chief Strategy Officer.
BotShare officially launched in December 2025 and disclosed its seed funding round on January 15, 2026. The round was led by Hillhouse Ventures, with participation from Fosun Capital and other investors. According to Qichacha data, Agibot (Zhiyuan Robotics) holds a 55% stake in BotShare, while Feikuo Technology owns 15%. Founded in 2024, Feikuo focuses on deploying and operating robots in real-world scenarios such as cultural tourism, commercial performances, and guided exhibitions.
As a robot leasing platform, BotShare aggregates robots from multiple brands and models, offering rentals for scenarios including corporate annual meetings, livestreaming, store openings, and promotional events.
Available brands currently include Accelerated Evolution, Unitree, Zhiyuan, Zhongqing, Lingchu Intelligence, and Zhujie Dynamics, among others. Robot delivery, retrieval, and maintenance are handled by local leasing partners across different regions.
Platform data shows that within three weeks of launch, BotShare surpassed 200,000 registered users, with daily rental orders stabilizing at over 200.
Hong Kong’s Sogo mall operator seeks $1 billion loan refinancing | Jing Daily – Sogo malls, especially the flagship Causeway Bay one, have long been among Hong Kong’s prime retail destinations. However, traditional retailers like department stores have been facing even more pressure from the mainland’s growing e-commerce penetration, the rise of low-end stores and weak domestic consumer sentiment.
Lifestyle International was taken private by its chairman, Hong Kong billionaire businessman Thomas Lau Luen-Hung, in a HK$1.9 billion deal after the company warned of an at least 80% plunge in profit in the first half of 2022.
Still, Hong Kong’s retail landscape has shown signs of stabilizing. Government data indicates that retail sales rose 6.5% year-on-year in November 2025, citing improving local consumption amid sustained economic growth and increasing visitor numbers.
“Hong Kong continues to drive the strongest demand in the region,” Perazzi says. As a global gateway, the city draws international bidders competing for trophy pieces — particularly Rolex and Patek Philippe — and increasingly, independents.
Taiwan, meanwhile, reflects consistency rather than spikes. “Taiwanese collectors are renowned for their long-term approach. Compared to Hong Kong’s appetite for headline-grabbing lots, Taiwan is characterized by quieter but reliable demand,” Perazzi adds.
A surprise force is Southeast Asia. Vietnam and the Philippines are now producing first-generation collectors with expanding wealth pools and few legacy constraints. “Southeast Asia has emerged as a dynamic growth region,” Perazzi says, citing a younger collector profile and faster adoption of new independents.
Indonesian woman collapses after 140 lashes for sex and alcohol | South China Morning Post – A woman in Indonesia’s Aceh province collapsed after being caned 140 times last week for extramarital sex and drinking alcohol in one of the harshest sharia punishments on record. The woman and her partner were struck with a rattan cane in a public park in Aceh province on Thursday as dozens watched, Agence France-Presse reported. Each received 100 lashes for extramarital sex and another 40 for consuming alcohol, according to Banda Aceh sharia police chief Muhammad Rizal. – the move to more Gulf-orientated interpretation of Islamic rule is likely to cramp globalisation in Indonesia by western firms, despite it being the most populated Muslim country and will affect service industries such as tourism
When Real Beauty Met Reddit | LBBOnline – Reddit is very underestimated, interesting to see Dove using it in this way. Also worthwhile noting that Reddit is a key training source for LLMs.
America must follow China in treating data as an asset – In 2024, China became the first country to allow enterprises to classify data as intangible assets on their balance sheets. Beijing had already declared data a “factor of production” alongside land, labour, capital and technology. The National Data Administration now oversees dozens of data exchanges. China Unicom, one of the world’s largest mobile operators, reported Rmb204mn ($29mn) in assets in its first filing under the new rules.
Most of the major AI players went to Davos, though they weren’t the main focus due to the Trump administration. Google Deepmind founder Demis Hassabis admitted that the current AI market is ‘bubble-like’.
Marc Andreessen’s 2026 AI outlook was published by A16z. As one of the leading funder of Silicon Valley startups, his world view matters.
I’ve gone through and contrasted his 2026 AI outlook through the lens of the viewpoint I researched and wrote up. The core point over where we differ: Andreessen see’s the dawn of a new unbound industrial revolution. Whereas I think that the upside he sees is hard to navigate to; and also risk mirroring the echoes of financial bubbles past in many of the high profile pure play AI companies like OpenAI or C3.ai.
Andreessen has been the quintessential techno-optimist for at least the past two decades with his emblematic essay Why Software Is Eating the World. His worldview is of an industry where demand is insatiable and revenue is undeniably real.
Like Andreessen in his 2026 AI outlook, I would agree that players like Alphabet, Amazon and Microsoft are making money to variable degrees from their AI offerings as part of cloud computing and productivity software bundles.
But in my view there are two aspects of concern:
Pure plays with the notable exception of Anthropic don’t seem to have a clear path to profitability in a time period that would match their implied future revenues based on loans and valuations.
Hyperscalers like Meta and Microsoft are using unusual partnerships to fund their infrastructure and have been inconsistent over how fast they would depreciate their AI computing hardware.
Both Mr Andreessen and myself agree that we are witnessing a technological shift of seismic proportions, arguably, “bigger than the internet” as he put it.
I think that change will happen slower in the short term due to an economic sand box acting as a rate limiter on infrastructure and derived labour efficiencies. In particular, the economic viability of the infrastructure being built to support it.
The Nature of the Boom: Real Revenue or Irrational Exuberance?
A key question is the the solidity of the current market.
For Andreessen, the AI boom is not a speculation fuelled exercise but a demand-driven reality. He argues that unlike the early internet, which required years of physical infrastructure build-out before finding business models, AI is generating cash immediately.
“This new wave of AI companies is growing revenue like… actual customer revenue, actual demand translated through to dollars showing up in bank accounts at like an absolutely unprecedented takeoff rate.”
Andreessen points to “revealed preferences”, observed insight from what people do is more insightful than what they say when asked by market researchers. While the US and European publics express fear of job losses, they are simultaneously adopting AI tools at a fast pace.
My “Dot LLM Era” report, however, suggests this revenue may be dwarfed by the capital expenditure required to generate it.
It posits that the sector faces a “self-defeating economic” cycle. The report highlights that the current valuations of the “Magnificent 10” tech giants (including Nvidia, Microsoft, and Alphabet) imply a forward price-to-earnings (P/E) ratio of 35 times. This is alarmingly close to the S&P 500’s P/E ratio at the peak of the dot-com boom, which approached 33.
In the report I warn that current valuations assume LLMs will drive revenue growth by $1–4 trillion in the next two years.
If this growth is achieved through massive job automation, the resulting unemployment could depress the very economy needed to sustain these companies. Like the 2008 financial crisis, this would invite various forms of regulatory intervention.
This implies a sweet spot between speed of productivity gains versus efficiencies in terms of job losses realised by clients – and acts as a break on the velocity of adoption.
The Infrastructure Trap: The Amortisation Crisis
Perhaps the most critical technical divergence between our viewpoints concerns the hardware powering this revolution.
The “Dot LLM Era” report introduces a chilling concept: Amortisation Risk. It draws a comparison to the “telecoms bubble” of the late 90s, where companies laid massive amounts of fibre optic cable.
The Telecoms Analogy: Fibre optic cable had a useful life of over a decade, meaning even after the companies went bust (like WorldCom), the infrastructure remained useful for Web 2.0.
The AI Reality: Modern AI infrastructure relies on GPUs and TPUs. These processors have a useful life of only 3 to 5 years before becoming technically obsolete.
The report argues that if an AI bust occurs, the hardware will not be waiting for a resurgence; it will be electronic waste.
Hyperscalers are currently lengthening the assumed useful lives of this hardware in their financial filings—Google to 6 years, Meta to 5 years—which the report suggests may artificially overstate profits and adversely affect competitors with debt securitised against AI data centre hardware.
The rapid obsolescence of chips represents a “financial and technological amortisation risk” that could lead to trillions in write-offs, similar to the $180 billion loss left by WorldCom.
Andreessen views this hardware cycle through a different lens: Elasticity.
He acknowledges that massive investment leads to gluts, but argues that “the number one cause of a glut is a shortage”. He believes the price of AI compute is falling “much faster than Moore’s Law”.
As prices collapse, demand will expand exponentially. If chips become cheap and plentiful, AI can be embedded into everything, moving from massive “God models” in data centres down to small models running on local devices.
Geopolitics: The US-China Race
Both Andreessen and I agree that the AI landscape is a bipolar contest between the United States and China, but their assessments of the leaderboard differ.
Andreessen frames this as a “new Cold War” where the US must maintain dominance. He is encouraged by the “DeepSeek moment”, referring to a powerful open-source model released by a Chinese hedge fund. To him, this proves that catching up is possible and that the US cannot rest on its laurels. He advocates for open source as a way to proliferate American standards globally.
I offer a more sobering assessment of American pre-eminence. I argue that unlike the 1990s “Long Boom,” where the US was the undisputed hegemon; the current era is defined by high debt and strong competition. The US maybe on the Soviet side of a Reagan era ‘Space Defence Initative (aka Star Wars)’ AI race from an economic perspective.
Alibaba’s Qwen model claims to deliver comparable performance to American models while requiring 82% fewer Nvidia processors to run.
China doesn’t have a electrical power crunch in the same way that western data centres have due to its sustained investment in coal, nuclear, gas and renewable power sources.
Even Silicon Valley investors and major companies like Airbnb are opting for Chinese open-source models because they are “way more performant and much cheaper”.
Andreessen worries about regulation stifling US innovation, I think that the real geopolitical threats are:
China’s ability to operate largely immune to US sanctions, smuggling chips and utilising data centres in neutral geographies like Malaysia.
China’s speed at propagating the use of AI within its own populace, driving utility at a lower cost per token than their US competitors with state regulation defining trial ‘sand pits’. This will drive new uses faster in China and in China’s client states across the global south.
The Outcome: Transformation or “Minsky Moment”?
Where is this all heading? Andreessen is betting on a future where AI becomes as ubiquitous and essential as electricity. He envisions a “pyramid” structure: a few massive “God models” at the top, cascading down to billions of specialised, cheap models running on edge devices. He admits these are “trillion-dollar questions,” but his firm is aggressively investing in every viable strategy.
I think that LLMs will make a sustained technological impact, but it will be limited in velocity by economic boundaries. In the “Dot LLM Era” report, I outlined seven potential scenarios, ranging from total transformation to total collapse. Currently, it assigns a ~95% likelihood to the “Moral Hazard” scenario.
The Moral Hazard: This scenario posits that major AI players will be considered “too big to fail” due to national security imperatives. Governments will step in with loan guarantees and subsidies to backstop the massive infrastructure debts, effectively nationalising the risk . Rather like the banks during the 2008 financial crisis.
The Telecoms Bust: With a ~75% likelihood, the report fears a “Minsky Moment”, a sudden market collapse driven by the realisation that cash flows cannot cover the massive debts incurred to build short-lived data centres.
Comparative Summary of Perspectives
Feature
Marc Andreessen (The techno-optimist)
My own view (The economic limiting skeptic)
Current Phase
Inning 1. “Biggest technological revolution of my life.”
Phase 1: The boom / The Inflation of a bubble.
Revenue
Real, unprecedented, showing up in bank accounts.
Potentially illusory for at least some players; reliant on untenable cost savings.
Infrastructure
Shortages lead to gluts; cheap chips drive adoption.
Amortisation risk: hardware obsolescence in 3-5 years.
Pricing
Usage-based is great for startups; prices falling fast.
US dominance challenged; Chinese models are more efficient and effective enough for organisations from Singapore to Silicon Valley to adopt them.
Outcome
Long-term ubiquity; widespread prosperity.
Technological change bounded by economic limitations. Current high risk of “Minsky Moment” or government bailouts.
Conclusion: The Trillion-Dollar Questions
Marc Andreessen candidly admits that “companies… need to answer these questions and if they get the answers wrong, they’re really in trouble”. His firm’s strategy is to bet on everything: large models, small models, apps, and infrastructure. He is doing this on the assumption that the aggregate wave will lift all boats.
My ‘Dot LLM Era’ report offers a counterweight to this enthusiasm. A bubble decouples technological and financial progress. Technological utility does not always equal investor profit. As I note in ‘Dot LLM Era’, “Bubbles don’t kill technology from moving forwards”. The internet did change everything, but it also wiped out trillions in shareholder value along the way.
The defining question for the next five years is whether the demand for AI can grow fast enough to pay for the hardware before that hardware becomes obsolete.
If Andreessen is right, this elasticity of demand would save the day. If I am right, we may be heading for the most expensive recycling project in human history.
The Productivity Paradox and Society
A fascinating tension exists between Andreessen’s view of societal adoption and my own macroeconomic warnings regarding productivity and labour.
The “Wingman” Economy vs. The Phillips Curve
Andreessen describes a “symbiotic relationship” where AI acts as a productivity multiplier: a “wingman” for doctors, coders, and writers. He argues that higher pricing in SaaS can actually benefit the customer by funding better R&D, suggesting a cycle of value creation.
I argue that the wingman sweetspot is optimal but tricky to land, in the report I showed the risk through a darker macroeconomic “thought experiment.” It used the Phillips Curve and Okun’s Law to model what happens if Andreessen AI scenario succeeds too well.
The Thought Experiment: If AI automation generates $1 trillion in cost savings through job cuts, it implies approximately 10.5 million unemployed US workers.
The Consequence: Such a spike in unemployment could trigger deflation and a massive drop in GDP. This is “self-defeating economics”: the hyperscalers need a healthy economy to consume their services, yet their success might undermine the investor, enterprise customer and consumer base.
Andreessen counters this fear by citing historical context. He notes the “Committee for the Triple Revolution” in 1964, warned Lyndon B. Johnson that automation would ruin the economy—a prediction that proved false. He believes AI will follow the path of electricity or the internet: initially terrifying, eventually indispensable.
Automation did displace a massive amount of developed world jobs moving at a much slower pace than Andreessen predicted for AI. Electricity moved at an equally slow pace compared to the pace envisioned by AI’s champions.
The Open Source Debate
Both of us agree that the role of open source is pivotal in both narratives.
For Andreessen, open source is the great accelerator. He marvels at how knowledge is proliferating: “Some of the best AI people in the world are like 22, 23, 24”. He views the leak of knowledge as inevitable and beneficial for US competitiveness, provided the US stays ahead.
I analysed the “Red Hat Analogue.” It suggests that in the dot-com era, open-source (Linux) won, but the companies that built the models (or distributions) mostly failed, with Red Hat being the notable exception.
I assigned a ~70-80% likelihood to the “Red Hat Model,” where pure-play LLM creators (like OpenAI or Anthropic) might struggle to justify their capital burn as open-source models like Meta’s Llama or Alibaba’s Qwen commoditise the intelligence.
We have already seen Singapore’s national AI programme drop Llama for Alibaba’s Qwen, reinforcing the idea that the value might accrue to those who service the models, not those who create them.
Final Thoughts
The divergence between Marc Andreessen and my own analysis is not about whether AI works both of us would agree that the technology can be magical and transformative. The disagreement is about who pays for it, how that affects the velocity of AI andwho profits.
Andreessen sees a future of abundance where falling prices drive infinite demand.
My own view sees a future of financial reckoning shaping the 2026 AI outlook where shorter hardware lifespans and brutal competition erode margins, setting a slower pace at which we reach Andreessen’s abundance.
Andreessen’s viewpoint reminded me a lot of mid-20th century aspirations for nuclear power. Nuclear power offered a similar vision in the mid-20th century of electricity too cheap to meter. That was never close to being achieved in the likes of France – arguably the most passionate adopter.
As with the railway mania of the 1840s or the optical fibre boom of the 1990s, society may inherit a significant infrastructure, with a shorter lifespan built on the ashes of investor capital.
Our differing views boil down to a question for the 2026 AI outlook: are we in the “boom” phase, or are we staring down the barrel of the “amortisation crisis”?
As Andreessen himself concluded, “These are trillion-dollar questions, not answers”.
I gave a talk to strategists and planners from the Outside Perspective group on my recent paper The Dot LLM era? The talk looked to summarise some of the key takeaways that I had written and also reflects a slight refinement on my thinking given current events since I had drafted the paper over the Christmas holidays.
About Outside Perspective
Outside Perspective is a community of brand planners and strategists. All of the members of Outside Perspective are freelance or self-employed. The members clients are drawn from all around the world and all sectors.
My presentation was the first Outside Perspective huddle of the year, where strategists share expertise and areas of interest with their peers.
I have put in the slides at the appropriate places alongside my notes.
Dot LLM era for Outside Perspective
Good afternoon everyone. I hope I’m not depriving you too much from lunch. If I am, just tuck in, just go on mute if you are tucking in because otherwise it’ll make me hungry.
So The Dot LL era came from a question that I posed to myself. I was working at the time for a client who is a major AI company. I was looking at all of the stuff happening around me and thought that the company that I’m working for it’s probably going to be all right. But we do feel like as if we’re in a bubble. So I then started to think about the bubble and eventually pulled it into a paper.
We (the Outside Perspective) will share the PDF of this presentation and you can get the paper from the QR code later on. My thinking has been refined slightly, as I’ve thought about this presentation, just nuances here and there based on what’s been happening since I originally published the paper.
Key points in the presentation
One of the first things I was taught when I present was tell them what you will be presenting, present it, and then tell them what you told them. So this is me telling me what I’m going to tell you.
So as a technology, LLMs (large language models), what people call AI at the moment, are making lasting changes from business to culture. It’s changing aesthetics, even though might have a negative impact like AI slop. The cultural effects are going to stay with us and evolve, just like previous technologies have done from the printing press on.
Now looking at the economics, the question is what’s really going to happen? Because the AI sector has a valuation in trillions which is an insane amount of money to think about. There are two main challenges from an economic perspective which is where I actually really looked at this from:
The amortisation risk so the speed at which the hardware becomes obsolete or literally burnt out is three to five years versus the likely time to pay off because of the trillions of dollars involved.
The self-defeating economics of AI as I’ll go through in a bit more detail. Economics are a limitation as to how fast AI can actually be adopted without actually destroying the AI providers themselves.
Both factors give a very narrow margin of success for Dot LLM era players from a business perspective, they need to thread themselves through to land at just the in order to succeed.
The Long Boom
When I came up with the term dot LLM era I was thinking about parallels to the dot com era. I’ll talk a little bit about the dot com era as well because I realise some people might not be terribly au fait with it. By comparison, I lived it and have the scars of my professional involvement with it.
The dot com era happened at a time that Wired magazine termed the long boom. During this time you had US preeminence as the Warsaw Pact had collapsed and China wasn’t yet a member of the WTO. During the Clinton presidency there was a US government budget surplus, so the US had headroom for monetary policy interventions if needed.
So if something like COVID epidemic had happened back then, they would have had much more economic flexibility to actually deal with it than we had coming into 2020.
Today in the US at least, much more like the Reagan era that preceded the long boom.
The West is on the back foot, there’s a resurgent Russia waging an invasion in Ukraine and ‘active measures‘ in the rest of Europe. China which is resurgent economically and militarily and from an innovation perspective which I’ll touch on a little bit later. There is high government debt particularly in the US, but also in Europe and much of the developed world as well.
There is sticky inflation and the overall inflation figures that are quoted in the business press are actually lower than what people are actually seeing in the shops. Consumer sentiment about the economy is much worse than the headline inflation number would suggest.
Finally, there’s a slackening labour market. That isn’t about AI at the moment. Companies say, oh, well, due to AI, we’re making layoffs. Usually they’re making layoffs through cost cutting, outsourcing and offshoring roles, they might be doing a little bit of AI in the background because we’ve given employees access to Microsoft Copilot or similar. That doesn’t mean to say that AI won’t have an impact in the near future.
The Dot Com Bubble
When we talk about the dot-com boom, we tend to think about is one thing but it was actually three interrelated bubbles that were going on.
There was an online business bubble which was relatively low capital but had a high burn rate through that capital in an attempt to build a moat. This is what most people think of when they think about the dot com era.
There was a smaller, less visible bubble related to open source software. With the internet, it suddenly became much more important because you had a way of contributing to open source projects and collaborating in a way that wasn’t available between different individuals or organisations previously. While open source made software development collaboration easier, and provided good quality software to download for free, businesses struggled to build a profitable open source business model.
Finally, there was a telecoms bubble which was capital intensive. There was a huge amount of infrastructure built out. There was vendor financing by manufacturers of networking equipment. There was industry incumbents, so companies like the BT in the UK or the Bells in the US. And then there was also new telecoms companies like Enron Broadband Services, MCI WorldCom and Qwest.
More on them in a bit later on. But with the graph on the right, what in fact you see is the peak that was reached on the NASDAQ in March 2020 was in It took the NASDAQ 15 years to hit that peak again after the dot-com bust later that year. This is considered to be not as bad as what happened during the 2008 financial crisis. But it gives you an idea of the way things can go.
Hyman Minsky financial instability hypothesis
I want to introduce an idea of Minsky moments.
Hyman Minsky, economist, he came up with his financial instability thesis. He considered this to be bound to three different steps that needed to occur.
First a self-reinforcing boom driven by easy credit. Our interest rates are higher than they’ve been, but they’re still relatively low from a historical point of view.
If you actually look at the amount of money and the valuations that are going into the likes of OpenAI and CoreWeave in January alone, you can clearly see that the self-reinforcing boom is under way.
The second step Minsky mentioned is a shock where investors re-examine cash flows and this is what’s often termed as a ‘emperor’s new clothes‘-type moment. They suddenly start asking questions like when are we actually going to get our money repaid let alone are we going to make an obscene amount of profit on that money. We’re not quite there yet, but there has been some signs of concern from investors, (for instance when Microsoft announced its recent quarterly results). There were always those dissenting voices, but they’re actually proved prescient only in hindsight.
Lastly, there’s a de-risking stage through rapid acid sales. So investors and management realise they’ve got a flaming bag of crap and want to hand it off to someone else. They want rid of it.
So let’s next think about those earlier three bubbles and think about how good analogy are they for our present era of technology.
Online commerce
So like the early web, pure-play LLMs like Anthropic and Open AI’s GPT are currently providing tokens at below their marginal cost. The cost you’re paying for to do AI actions is actually less than the cost those AI actions actually take to create. And that’s not thinking about the research and cost of capital invested in the company.
They’re losing money to build an AI moat just in the same way as e-tailers and service providers back in the dot-com era lost money in order to build a moat in a particular sector. For instance like Amazon did in books. Move forward 25 years and AI companies are so they’re trying to do the same for various different service models. The burn rates of dot-com failures mirror loss making AI businesses. But only at a surface level, dot-coms were capital light in comparison to their modern Dot LLM era counterparts.
Look at the dog sock puppet on the right, he was the mascot and brand spokesanimal from Pets.com. Pets.com had a horrendous burn rate for the time and went bankrupt. The cause of their bankruptcy was down to two reasons:
The logistics of actually sending out bags of dog meal and rabbit bedding were expensive compared to the amount that was being charged. It took Amazon the best part of a decade to radically reduce the cost of logistics for its own business. Even now, Amazon benefits from Chinese government overseas postal subsidies given to China-based businesses on Amazon.
The large amount of money they put into advertising and brand building. Around a dog sock pocket with attitude. Great marketing, but if the consumer proposition isn’t right the marketing can’t save your business.
Open source sofware
The open source bubble saw the rise of what’s known as LAMP. That stands for:
The Linux operating system
Apache HTTP web server
MySQL as a database management system
P was for the Perl, PHP and Python programming languages
If you’ve ever run a WordPress blog, all of that language probably sounds vaguely familiar to you because it is. Because that supports a lot of the web. Linux extended into laptops, tablets and cellphones including smartphones. (Apple products are based on a similar UNIX style software based on the Mach micro-kernel used in various BSD distributions).
During the dot com era there were numerous companies in this space. Red Hat was the outlier success with their enterprise grade support offering. Red Hat managed to sell themselves for $34 billion to IBM in 2019. Red Hat was the most successful exit and profitable business out of its peers, becoming the first of its kind to generate $1 billion in revenue.
Now you can see Chinese companies are competing against US rivals and winning a lot of users in the global south by providing open source and open weight models like Alibaba’s Qwen and Kimi K2.
These Chinese models provide perfectly usable models at lower costs. You can run the models on your own machines. They use a lot less processing power than US AI models, and are challenging closed AI models. Huawei have built a lot of infrastructure in the developing world, so you’ve got a lot of opportunity there that’s now closed off from American AI companies.
US organisations like Airbnb and Silicon Valley based VC companies are running these Chinese models for their own uses.
AirBnB is an interesting case; CEO Brian Chesky is a really good friend of Sam Altman, yet he’s still using to use open source software rather than use OpenAI because it makes commercial sense.
The telecoms bubble
The telecoms boom. There’s been a similar kind of optimism build out of massive infrastructure as happened during the telecoms boom. Back then, they invested about half a trillion in fibre-optic networks based on misreading of traffic growth data. In the dot-LLM era, we’re seeing orders of magnitude more investment across computing power, networking within the data centre and even data centre power generation.
The graph on the right just gives you an idea of how much AI capital expenditure has taken off.
Amortisation risk
I want to introduce you to some of the concepts. One I’ve alluded to already is this idea of hardware amortisation.
During the telecoms bust, there was dark fibre, so optical fibre networks that weren’t lit. Dark fibre that was laid in the 1990s had a useful life of at least a decade.
In the current dot LLM era the equivalent surplus would be GPUs and TPUs – the processors and the network internet connect hardware within the data centre that’s particularly used for training models has a useful life that becomes technically obsolete between three to five years. It’s usually more towards three years because they are used so intensively that a lot of the processors get damaged by the amount of heat generated from the extreme amount of processing they do.
With your laptop, even though things might run slow sometimes, 95% of the time your laptop processor is running idle in terms of what does unless you’re doing some like really hardcore 3d rendering, video editing or complex work in Photoshop.
Your computer’s processor aren’t running at full at full performance all day, all night. By comparison AI training processors wear out within three to five years depending whose numbers you believe.
The chart on the right gives you an idea of how over time a lot of the major hyperscalers have actually been increasing the amount of years that they actually write down their processor’s depreciation. While the the processors have stayed pretty constant in terms of that three-to-five year window that they have a life of before they need depreciation to zero.
A second aspect of this deprecation is that the amount of energy per token is dropping substantially with each new generation of chip. So a five year old chip, if it’s working is the cloud computing equivalent of an old decrepit gas-guzzler of a car.
Financial picture
From a financial perspective, the change in hardware amortisation has caught the attention of short sellers. The reason why, is that the AI hardware is collateral against loans for some AI companies. They have a mortgage out on their chips. So the length of time that those things have a useful life is really important. If you had a house that lasted three years and you’ve got a mortgage for five years, it’s not a great position to be in.
(The most high profile short seller is Michael Burry who runs a Substack newsletter. He’s the chap portrayed by Christian Bale in the film adaption of The Big Short. Extremely smart guy, not as arrogant as he appears in the Christian Bale portrayal. Really great Substack, recommend that you read it.)
There’s also been a number of financing accounting changes going on. So we’ve talked about the lengthening lives of the AI hardware. You’re also seeing off balance sheet deals being done to help finance data centre development. A number of the hyperscalers like Meta, Google, Amazon and Microsoft have been very cash generative businesses. This has been because software and online advertising are high margin businesses that generate a lot of cash.
Meta and Microsoft have teamed up with private equity companies to co-finance their data centre build out and their acquisition of processors. These loans those are in special financial vehicles that keeps them off Microsoft and Meta’s balance sheet. Short sellers are alarmed by this as it is similar to what we saw that in the telecoms business from the likes of Enron and MCI WorldCom during the dot com bubble.
There are also accusations of circular financing as well. So the chart on the right hand side came from Bloomberg in September of last year. This started to get people worried about the idea of an AI bubble because a lot of it is financed by loans to and from the major technology vendors to the AI players.
Short sellers allege that the values and the profits are being artificially over stated by the hardware depreciation costs and this circular financing. They wonder where are the real transactions? If you look at the circular financing there isn’t meaningful revenue at the moment.
Looking at recent market valuations when I wrote this paper at the end of the year the magnificent 10 (a lot of the hyperscalers, including Meta, the Amazon, Alphabet and Nvidia), had a price to earnings (P/E) ratio of 35x.
So that would mean that it would take 35 years of earnings to actually pay off the share. The S&P the 500 dot-com peak had a P/E ratio of 33 times earnings.
Those values then assume that LLMs would drive one to four trillion in revenue growth or cost savings for dot LLM companies in the next two years, which is a huge amount of money.
$1 trillion revenue target
So how are businesses going to get there? So I started to do a thought experiment:
Advertising will only contribute a relatively small amount. It’ll be big numbers for the rest of us here, but if we think about that target that needs to be hit, it’ll only contribute a small amount of the revenue needed.
Advertising is an industry. It’s about 1% of GDP globally. Also while AI can increase efficiency of advertising, which might be a reason to go there, it may even decrease effectiveness of advertising further.
If you look particularly for large brands, they’re not getting the returns out of digital advertising already that they should be. If you look for growth and increased earnings over the past 15 years or so.
So what about business efficiencies? Yes, it can automate tasks, might be able to reduce jobs. The way it’s optimally pitched is what Microsoft Research described as a wingman approach.
Then the third option which is a lower probability because it rules on a certain amount of serendipity and AI companies have a lot less control.
What does $1 trillion in job cuts look like?
Which raise the question what does a notional $1 trillion, in savings due to job cuts mean?
As a thought experiment it scared the living getting lights out of me. It equates to about 10.5 million jobs in the US. I used two economic models.
The Phillip curve, which models inflation.
Okun’s law, which looks at the impact of job losses on GDP.
A trillion dollars in job cuts, wipes $four trillion GDP and 3% deflation to start with. There would likely be additional secondary effects that I didn’t even attempt to calculate
It creates an efficiency paradox, that would destroy the dot LLM ecosystem financially. They rely on being able to get money to invest and that would drop through the floor. You would have less businesses and fund managers investing and less retail investors.
Rather than being able to gradually increase prices over time with a moat, AI companies would be having to continually decrease in prices due to deflation.
The efficiency paradox means there’s a sweet spot between the degree of productivity benefits that they actually provide within a market without destroying AI as a business.
This all assumes that we’re actually operating within the closed system of the American AI market. But it’s worse because it isn’t closed.
The China factor
The US doesn’t have global AI dominance. Some experts think that China may be ahead. I don’t necessarily think that that’s the right framing to use because I think that China’s running a slightly different race. It’s taking a very different approach to the US about these things.
Competition is not only economic, it’s geostrategic and that actually might change and impact the economics of what we talk about.
The Chinese models are about 10 times more power and processor efficient than their American counterparts. They’re already being used with million+ downloads. They obviously do a good enough job that some Silicon Valley companies trust them.
Seven Scenarios
I thought about scenarios, about how the dot LLM era is going to happen, and I represented everything on a continuum of economic transformation to total collapse. The more I thought about it, I saw that we’re going to have overlapping scenarios rather than a single outcome.
On the left hand side was what the AI product was trying to do. New value creation or drive efficiency, along the top what the net impact was likely to be in terms of either negative or zero value creation or a positive to transformation value creation effect.
A probability based approach
The moral hazard happens because AI no longer just economic in nature, but also becomes geopolitical and a national security issue. I rated it at 95% because China is already there in terms of treating vast amounts of its economy from food to technology as a national security issue. AI is no exception. I read a paper by a Canadian think tank equated every US AI company data centre as equivalent to having a US military base on your territory.
The AI players are too big to fail. There’s a national security imperative, and a government’s backstop for them. Taxpayers will have to foot the bill. The AI companies don’t necessarily have to innovate as hard. They can take financial risks, similar to banks pre-2008.
The wingman economy, we’re already seeing this in the way Google, Microsoft and Adobe position their AI offerings.
The idea is that you actually get avoid catastrophic job losses by striking a balance between growth and efficiency to land in just the right place.
The Red Hat model. The idea of that pure play AI businesses struggle to find probability. You get LLM model proliferation, like what I talked about with open source models. The open source models, like Qwen, already have people using it around the world. Then value starts to shift to enterprise support or integration. Like Airbnb who are integrating these models already into their services.
Telecoms bust. You only have to look at things like private equity Blue Owl pulling out of a funding round for an Oracle data centre. It could be basically how they feel about Oracle in particular’s AI offering, which a lot of money has been going into, but not a lot of results have been coming out of, or it could also be sentiment around the dot LLM eco-system in general.
The last three options are much lower probability events.
The new economy model. The idea that AI will make transactions frictionless, with agentic automation , a lot of things will happen. There’s an uncertainty around the economics of this at the moment and there’s numerous concerns like the AI might actually drift away from the original human intent over time. There are also bottlenecks with legal and regulatory issues.
The breakthrough is a black swan event by its very nature. So this would be like a major scientific breakthrough, but then it would likely take 10 years to commercialise. Think about new drugs like Wegovy or Ozempic. They were an innovation that launched during the COVID period. The actual discovery was done back in 1979.
It took decades to get them to be commercial as a weight management product.
With other technologies, that period might be down a bit. So a new oil field might be only a 10 year project from discovery to commercialisation. Either way, it won’t pay off in a two year period.
Where we’re at?
I do believe that the dot LLM era is a financial bubble and a technological shift. The shift will continue to happen and evolve. It will continue to influence culture and business.
The financial bubble may destroy economies. It will keep driving national rivalries.
There is likely to be, and at least in the major players like Google and Amazon, a wariness of self-defeating economics where efficiency seeking destroys consumer base. Even if there’s not worries within AI companies, governments will hit them pretty hard because if you actually see a four trillion drop in GDP in the US and a 10 million strong decline in employment rates, even the current Trump administration would have to step in and regulate.
they’ would regulate is they’d probably overcompensate on economic impact.
So a lot of the major companies, possibly with the exception of Elon Musk, will be thinking about these factors to a certain extent. I think we’re in phase one to the boom and go to the next stage at any time. We’ve got the seeds of a lot scenarios including moral hazards.
It’s the geopolitical things that are really complicating things at the moment.
Eventually we’ll get to a new normal. How long it will take depends on the amount of government intervention that actually happens from an economic point of view. It will also depend on geopolitical factors.
You get a Taiwan invasion, that will impact manufacture of GPUs and TPUs because they’re all made on the island of by TSMC.
Large hyperscalers like Alphabet , Amazon and Microsoft are the most likely to survive the bust as they have multiple revenue streams and can integrate their AI capabilities into these products.
A special thank you to Matthew Knight of Outside Perspective for organising and facilitating the session.
2025 started warmer, but windier than normal. I had just published a similar post and had a days break before thinking about drafting 2025 as it happened, how it was seen at the time tends to be missed out when we look back with the benefit of hindsight.
I haven’t written much about the Trump administration, mainly because everything kept changing, so it wasn’t apparent at the time what was really important. Every day felt like a burning platform.
January 2025
Small and medium sized business confidence at new low. Japanese convenience store operator Lawson used offshore workers to help customers via digital avatar. Chinese property developer VANKE CEO was detained to help authorities with their enquiries. VANKE, alongside Country Garden, is one of the better ran companies known for corporate transparency. Meanwhile Guangzhou FC (formerly Guangzhou Evergrande) was ejected from China’s professional football league. Amazon announced UK drone delivery service.
HSBC shut down their first attempt at competing in the ‘fintech’ space. Zing competed with Wise and Revolut in global money transfers.
Circana research found that GLP-1s weren’t responsible for long term sales declines in snacks and other consumer packaged goods sales.
Rolex raised their prices across their models by 1-to-3 percent. Louis Vuittonrevisited its 2003 collaboration with Takashi Murakami. LVMH Watch Week leaned hard into novelties and featured Bvlgari, Daniel Roth, Gérald Genta, Hublot, L’Epée 1839, Louis Vuitton, TAG Heuer, Tiffany & Co. and Zenith.
Porsche sales dropped, mostly due to 28% drop in China during 2024. Louis Vuitton launched an early 2000s streetwear throwback for its autumn / winter 2025 collection by Nigo and Pharrell Williams.
While generation cohorts are no better than horoscopes, they have prominence in marketing discourse; Gen Beta started. Publicis Worldwide & Leo Burnett merged to form Leo. Kellogg’s returned to British TV screens with mascot Cornelius the Cockrel in the ad ‘See you in the morning’.
51% say that overall, they like the ad, while only 26% disliked it. That’s a good score, you’d expect an average campaign to roughly take 40% like to 20% dislike.
UK institution, the BBC shipping forecast turned 100. Half of banned UK crypto ads remained online.
The earliest iterations of cartoon characters Popeye and Tintin went into the public domain in the U.S – but his likeness and name is still trademarked. STEM content creator Zara Dar made 3x more revenue per video on Pornhub vs. YouTube.
State laws based on Louisiana’s Act 440 require age verification for adult entertainment sites. In response, Pornhub’s parent company, Aylo, had blocked access in 20 states. This included Florida, a major centre for porn production. Meta launched machine learning powered accounts, it wasn’t well received. Meta pivoted from fact checking to be more combative with the EU, Brazil and China.
Some US TikTok users signed up to Chinese Instagram analogue Xiaohongshu in protest to TikTok restrictions.
Why did the US take action against TikTok? Rutgers University affiliated research from 2023 was the best public reason given. TikTok returned in one news cycle thanks to President Trump’s patronage.
Donald J. Trump became U.S. president again as typhoon-speed winds drove fires in Los Angeles.
Canadian prime minister Justin Trudeau resigned. Edelman’s trust barometer survey marked new societal nadir with a crisis of grievance.
Oliviero Toscani, the photographer behind Bennetton’s iconic advertising campaigns and work in the fashion label’s COLORS magazine died.
Film director David Lynch died.
Over the past decade ‘children’s cafeterias‘ which offer free or low-cost meals have grown in Japan from a standing start to over 10,000 venues. (Similar to the UK’s food bank expansion.) 2025 saw 1,794 cafeterias open.
The majority of cafeterias have no age restrictions. Out of an estimated total 18.9 million annual users, 70%, or 13 million, were children while the other 30% (5.9 million) were adults.
Across Asia and in diaspora communities around the world, the lunar new year was welcomed in on January 29th. In the Chinese horoscope, it was the year of the wood snake.
Cellular mobile services in UK turn 40. UK government announced improved atomic clock that will help in more precise, jam-proof navigation. CES was all about generative AI. OpenAI continued to lose money on ChatGPT. Irrational exuberance in LLMs deflated by popularity of DeepSeek.
How January 2025 memed
Streetwear’s pivot to avant garde all-black influenced by Rick Owens and Raf Simons with dark eye shadow, was popularised by hip-hop and trap artists out of Atlanta. Playboi Carti was associated with the look. The look got a name inspired by Carti’s Opium record label – opiumcore. Jing Daily claimed that gender fluidity and opiumcore looks were going to trend in China luxury and streetwear.
It’s at odds with Chinese government guidance. They deplatformed ‘excessively feminine’ male models and those who ‘slavishly worship’ western culture. Even opiumcore’s name is problematic.
February 2025
Donald Trump tariffs announced against Canada, China and Mexico. Samsung head Lee Jae-yong cleared of fraud and stock manipulation charges. Clothing store Forever21 went bankrupt again. Bybit had $1.5Bn of etherium stolen from its ‘offline’ cold wallet – biggest crypto theft to date. Nike collaborates with Skims. Unilever changes their CEO.
Robert F Kennedy Jr promised to ‘Make America Healthy Again” or MAHA, crystalised the name of a movement that brought together wellness and the political right.
Language learning company Duolingo, shared their new brand book, which was held up as an example of how to capture a brand’s culture, positioning and market proposition. Liverpool Football Club refreshed their brand identity. R3 published their 2024 new business league table. Key takeaways:
Interpublic lost 500,000 USD in business more than they won, what they won in creative, they lost in media.
Fuji TV screens tentpole anime show Sazae-sanwithout sponsorships, an advertising boycott over a sexual assault allegation cover-up. Lidl sold out its TikTok shop debut in 20 minutes. Post-production and video FX business Technicolor shut down.
Simon Kemp launched this year’s Digital 2025 compendium of global online behaviours. YouTube turned 20 on Valentine’s Day. Cory Doctorow’s Pluralistic turned five.
David Webb announced plans for the end of his iconic financial website which covered the Hong Kong market. Webb was in the final stages of his battle with cancer. Fiverr launched FiverrGo – a generative AI art-working service.
Taiwanese TV actress Barbie Hsu (pronounced Shu) died aged 48. Hsu was a popular actress across East and South East Asia. The Democratic Party in Hong Kong disbanded.
HKTaxi – which pioneered taxi-hailing apps in Hong Kong, announced April closure. The Washington Post alleged UK government demanded global backdoor on Apple services. Apple removed protected cloud encryption from UK users. Humane AI has its intellectual property bought by HPE. Humane is shuttered including its AI pin device. Apple launched its iPhone 16e, it featured Apple’s first custom wireless modem. Amazon announced closure of messaging and video app Chime. Promised to continue supporting the Chime SDK, which allows the underlying messaging and video service to be integrated directly into apps. Microsoft announced Skype service closure.
How February 2025 memed?
Credit due to Dan Lambden: *LinkedInsincerity (noun)*: A phenomenon observed on LinkedIn characterised by interactions that appear inauthentic, exaggerated, or lacking genuine sincerity.
These interactions may include overly enthusiastic endorsements, insincere congratulatory messages, and inflated descriptions of professional achievements, often driven by the desire to network or gain visibility rather than foster true professional connections. In essence, LinkedInsincerity represents the façade of professionalism masked by the pursuit of personal gain.
March 2025
March started with cold sunny days and the first snowdrops in the park by my house.
But in comparison to the weather, economic indicators weren’t great. Hong Kong slowed down its retail sales decline. HSBC celebrated the 160th anniversary of its founding.
Launched in 1953, JCB built their 1,000,000th backhoe loader. Volkswagen announced move away from touchscreen-only car controls. AstraZeneca bought cell therapy company esoBiotec. 23andMe declared bankrupt.
Going upmarket, Moët & Chandon & Pharrell Williams collaborated on a €30,000 limited edition champagne bottle. It was to demonstrate ‘ collective spirit, optimism and human connection’. Lewis Hamilton became a Lulu Lemon ambassador. Willy Chavarria collaborated with Tinder on a small collection with the theme ‘How we love is who we are’. Rolex opened London flagship managed by Watches of Switzerland. Maker’s Mark launched Fielden Rye whisky – their first new recipe in 70 years.
Starbucks launched a collaboration with Snoopy to reboot sales.
In media, Sesame Street started shooting its 56th season. But had no distribution partner in place. Yahoo! sold TechCrunch to private equity buyer. The Federal Trade Commission looked into Omnicom’s takeover of Interpublic. Apple loses $1 billion / year on streaming. Medical drama Grey’s Anatomy turns 20 years old. The Grateful Dead celebrated their 60th anniversary with a 60 CD boxset Enjoying The Ride featured live sets recorded from 1969 to 1994.
In online, old was gold as Yahoo! turned 30 and has enjoyed a mild comeback. (Disclosure, I worked there earlier on in my career.) Digg relaunch announced. Discord planned for IPO.
Manus, a Chinese ‘general AI agent’ launched beta release that outperformedOpenAI. Deliveroo announced plan to exit Hong Kong operations in April.
Mobile World Congress saw Xiaomi & Realme show concept smartphones with detachable lens. Apple delayed more personalised aspects of Siri in its Apple Intelligence rollout. Alphabet bought security start-up Wiz for $32Bn. Microsoft turned 50 years old. Oracle systems were breached and health records stolen.
In other news, Japan marked 30 years since the Tokyo subway sarin attacks. Author and former KGB officer Oleg Gordievsky died. Irish crime fiction author Ken Bruen died.
How March 2025 memed?
Geopolitical disruption: The Daily Star is a UK tabloid newspaper with a right of centre, populist editorial voice. It would be a natural ally of the Trump administration; yet the headline on front page of the paper was ‘JD Dunce‘ on the March 5th, edition.
Research firm YouGov showed a sharp decline in how UK people saw the US.
April 2025
The end of March 2025 was the height of sakura season in Japan and in the UK. The sun greeted the start of April, so did the Trump administration with global tariffs in ‘Liberation Day‘ announcement.
Another thing went up in the US as well as tariffs, preventable disease-related deaths. Pertussis (whooping cough) and measles increased in US compared to last year. Pertussis infections doubled, measles infections grew even more. Spain and Portugal suffered countrywide electricity blackouts.
The US National Science Foundation got rid of most external advisory panels and the FDA announced move to phase out animal testing.
On a lighter note another thing going viral was pistachio cream filled chocolate.
At Watches & Wonders, Rolex launched the Land Dweller, a watch design that is similar in concept to the Oysterquartz, Audemars Piguet Royal Oak and the Vacheron Constantine Overseas. Just as important was the new high-beat movement design rolled out in the Land Dweller. Prada bought Versace. LVMH fashion and leather goods sales fell 5% year-on-year. Added to luxury sector woes were Chinese factories claiming to offer consumers better deals on luxury goods by going direct. One bright note – Highsnobriety found that 40% of American respondents found that sustainable fashion was fashionable. This compared to just 25% of young people (gen-z) globally.
Advertising Week Europe was held in London. Key topics of discussion included retail media and connected TV from Uber, Carwow and Disney. Adobe provided generative AI designed conference bags. UK marketing spend fell for first time in four years. Hostess Brands became first mainstream brand to promote their products on April 20th – informally 4.20 day that celebrated cannabis use. McVities celebrated the 100th anniversary of the chocolate digestive and Wired magazine celebrated the 30th anniversary of its original website.
Bluesky announced its plans to verify accounts. Nike sued over the closure of its NFT business.
In other news, it was 50 years since the end of the Vietnam war. Reggae star Max Romeo died in Jamaica, Pope Francis died in Rome and it was the 100th anniversary of The Great Gatsby by F Scott Fitzgerald. Fitzgerald’s ending to the novel was widely quoted and captured the zeitgeist of April 2025 well.
“They were careless people . . . they smashed up things and creatures and then retreated back into their money or their vast carelessness, or whatever it was that kept them together, and let other people clean up the mess they had made.”
I had started a project engagement at Google. This was 20 years to the day when I started my in-house gig at Yahoo! less “plus ça change, plus c’est la même chose” more “history doesn’t repeat itself, but it often rhymes”.
The Apple iPad turned 15 and AirTags turned 4 years old.
How April 2025 memed?
An article in WARCcaptured April’s mood for me with the acronym VUCA. The phrase has its origin in the US Army War College during the mid-1980s, who were looking to describe a post-cold war scenario.
Volatility: Rapid significant change with little to no warning as to the size of change.
Uncertainty: Unclear outcomes as are the causes.
Complexity: Multiple factors in play with complex inter-related aspects to them which makes finding a way forward challenging.
Ambiguity: the information that is available is open to misinterpretation.
May 2025
May started with the warmest day of the year, 26 celsius in London.
Warren Buffett announced plan to retire from Berkshire Hathaway. The UK and US outline shape of a limited trade agreement. The CIA launched a high production value ad campaign on western social media to recruit Chinese agents.
CNBC’s Jim Cramer celebrated 20 years of his Mad Money show. While 2024 was was the year of semaglutide, Novo Nordisk seemed to snatch defeat from the jaws of victory. It was still a surprise when Lars Fruergaard Jørgensen stepped down as CEO. Unilever discovered a correlation between a particular type of skin microbiome bacteria and positive mental health measures. Consumer DNA testing company 23andMe was sold to Regeneron.
Alex Mashinsky sentenced to 12 years for fraud related to 2023 collapse of cryptocurrency business Celsius.
Monocle announced a new book shop and café in Paris. Business Insider laid off over 20% of staff and announced shift to AI. Amazon announced Prime Day to be held in July and did its first brand refresh in two decades. Google refreshed the big G icon. Mozilla announced closure of bookmarking service Pocket. Wikipedia took five years to go from six million articles to seven million around May 28, 2025. DoorDash agreed to buy Deliveroo. Hong Kong congee restaurant chain Ocean Empire closed down abruptly. Nutella announced a new peanut-based variant.
Dior Coutureadmitted a successful cyber attack. US telecoms company Charter announced it was buying Cox Communications.
McDonald’s Restaurants saw a decline in sales. This was down to low income consumers spending less, while middle class earners still weren’t going into McDonalds. Normally when there is a recession, McDonalds should benefit from the more well-off trading down to McDonalds. Instead, fortunes have diverged into a ‘k-shaped’ recession. Lower income earners are hit, while middle classes aren’t. What Axios called the ‘McRecession‘.
How May 2025 memed?
The conclave to select a new Pope shined a light on all things Vatican related. President Trump got in on the act via his social media feed. Robert Provost was elected pope in a relatively fast conclave. His election surprised prediction markets. Recent film Conclave became a must-watch film as it was a good guide to the process of electing a new Pope.
June 2025
June started with changeable spring-like weather with rain from London to Tokyo. The UK government published its Strategic Defence Review. A Ukrainian operation destroyed Russian aircraft deep inside Russia using small drones concealed in containers. Israel launched attacks on Iran.
CEO Mark Read announced he was leaving WPP at end of 2025. Apple’s ‘Shot on an iPhone’ campaign won at Cannes. Apple launched a new ‘shot on an iPhone’ film featuring Stormzy.
US Vogue editor Anna Wintour moved to more hands-off role as chief content officer at Condé Nast.
Unilever bought ‘chemical-free’ direct-to-consumer men’s personal care brand Dr Squatch for $1.5Bn. UK discounter Poundland was sold for a pound.
Hong Kong legalised basketball betting by Hong Kong Jockey Club. This will attract mainland gamblers where basketball has a huge following in comparison to soccer or horse racing. Asian currency arbitrage opportunity indicated a problem in US finances.
Bill Atkinson who was part of the original Mac and General Magic teams died, as did soundtrack composer Lalo Schifrin.
Meanwhile Apple’s WWDC felt like Mac-orientated conferences of years long past. AI was sprinkled in features with a focus on on-device AI models. Oakley and Meta collaborated on smart glasses. Flickr roles out creative commons 4, giving creators greater control over their image rights.
Chart of the month June 2025
Podcast advertising showed signs of maturing with slowing growth according to WARC.
How June 2025 memed? – TACO
From US foreign policy to trade negotiations the TACO trade dominated. TACO was shorthand for ‘Trump always chickens out’ – markets bet against the Trump administration’s commitment to a course of action – which starts to become a dangerous bet to make when this viewpoint becomes sufficiently visible. OperationMidnight Hammer being the exception that proved the rule.
July 2025
July started off with a heatwave. The Big, Beautiful bill passed in the US senate and congress. In the UK, on of the biggest things that happened in 2025 was that 16 and 17 year olds got the right to vote. The Communist Party of China turned 104, the United States celebrated its 250th anniversary of its founding. It was the 40th anniversary of Live Aid – so Live Aid was the equivalent distance in time from us to what the end of the second world war was to Live Aid.
Perplexity AI touted a nascent advertising offering around media agencies. Chinese multi-modal AI model Kimi launched. One of the more interesting aspects was the ability to upload up to 50 documents for reference. But it didn’t deliver as well as promised, I will let the Web Curios newsletter tell you the rest:
…when I played with it earlier this week it quickly became apparent that this is a mendacious little fcuk and will spit out completely-invented material with a glee unmatched by any of the actual, paid-for, top-end models; as such I can only recommend it as a fun thing to poke around with rather than a free alternative to the big players.
Apple supported the cinema launch of its film F1, with a haptic trailer, which used the vibrating motor on the smartphone alongside the speakers. The film did well at the cinema, so Apple bid for formula 1 streaming rights in the US.
K-pop band BTS announced return with news music and global tour. The Observer laid bare lies and deceit behind bestseller The Salt Path. Media executive Linda Yaccarino resigned from Twitter (X).
In the same way that in the mid-1990s onwards to 2000, the internet became part of culture as much as a technology people used, AI has been having a similar movement since 2023 onwards. When you combine AI with highly memetic training content and accidents ensue, so it was with Grok AI becoming ‘Mechahitler‘ and edgelords around the world rejoiced in their childhood bedroom or parent’s basement. Grok is considered to be an AI without a ‘woke ideology’.
Grok didn’t magic the name ‘Mechahitler’ out of thin air, it is a character from the Wolfenstein series of games based on various alternative history scenarios of world war two. It’s emulated by cosplayers and a film had been in development for over a decade.
Mechahitler as a meme beat out BURRITO – Bold Unilateral Retaliation Regardless of Inflation Trade or Order, which came from the TBOY podcast.
August 2025
July bowed out wetter and cooler than much of the month and August opened with winds that made it feel more like spring. It was the 80th anniversary of the atomic bomb attacks on Hiroshima and Nagasaki and the 250th anniversary of Daniel O’Connell. Indonesians protested their government by flying the pirate flag from manga and anime franchise One Piece.
Vogue saw an online backlash against its first AI model photo shoot. A French livestreamer died live on broadcast – in a manner eerily reminiscent of the David Cronenberg’s Videodrome.
Adidaslaunched a collaborative sneaker with Lufthansa. The Ford Transit celebrated its 60th birthday. Nike leans into its ACG technical outdoor brand to drive growth. Seiko celebrated 60 years of making dive watches in a low-key manner with enthusiasts. McDonald’s in Thailand allegedly demanded damages and fired a restaurant manager for having previously been a go-go dancer – who was pictured on her former bar’s social media. It wasn’t clear if it was a franchisee or the Thai McDonald’s partner McThai Co. Ltd who was involved.
Intel CEO was asked to resign by The White House because of his ‘connections‘ to China. Later on the US government takes a stake in Intel. The Pakistani energy sector suffered from renewed cyber attacks.
https://flic.kr/p/2rmo6o8
NASA Jim Lovell who was famous for being part of Project Apollo died.
How August 2025 memed?
In the same way that Che Guevara was a touchstone for rebellion against established authority in the 20th century – the internet has found its own icon. Ibrahim Traore is a coup leader and Burkinese army officer. Traore has become famous beyond the Francophone region, becoming an icon for protestors from Micronesia to the New Zealand Parliament.
September 2025
Autumn weather started in the last week of August, with the rain arriving too late to help out arable farmers in the home counties.
China, Russia and India met as part of the SCO (Shanghai Cooperation Organisation).
China and Russia sign an initial agreement to develop a new high capacity gas line called Spirit of Siberia 2. Oracle’s Larry Ellison becomes the world’s richest man.
ITV celebrated its 70th birthday. Long time online blogging service Typepad closed down. Online news aggregator Techmeme turned 20. Google Docs turns 20 and Google Chrome browser market share exceeds 70 percent. AOL discontinued dial-up internet services in the US and Canada and was put up for sale for $1.5 billion. That’s still less than $1.50 for every disk and CD that AOL ever sent out to consumers in the US and Europe. The UK security services launched the Silent Courier portal to aid leaks by Russian and Chinese sources. Mastodon launched new services for corporates and marketers. Specialist interest online video networks Playeur and History of Weapons and War (think History Channel meets YouTube documentaries) both closed down, subscription based video platforms are hard.
Apple continued to lose key engineers to Meta and launch iPhones. Training LLMs sloppily in one aspect of their roles can make their behaviour malicious in other areas. Chinese company makes world’s fastest production car.
Concerns about an AI bubble started to show up in rate of change in search volume.
In the face of smartphone bans, American school children dug out iPods, Discmans and Walkmans to still have music while they study or just hang out in class. The UK government tested its emergency alerts system prompting a siren sound and this screen shots on smartphones across the country. There was no corresponding SMS text message to feature phones.
Ron Carroll, a Chicago-based singer, producer songwriter died leaving a body of house music behind. Italian film actress Claudia Cardinale died, she was famous for Fellini’s 8 1/2 and Leone’s Once Upon a Time In The West. Giorgio Armani died a week after his last interview with the FT was published. Robert Redford died aged 89, a day after the FT wrote a style article about the tweed blazer he wore in Three Days of The Condor. It didn’t take long for some wags to talk about the ‘curse of the FT’. Yahoo! News covered off Redford’s ‘role‘ in the nod of approval GIF, which made me a bit sad, given for many people that clip of Jeremiah Johnson was all they’d seen of his career as an actor / director.
How September 2025 memed?
Operation ‘Raise The Colours’ saw St George’s flags spring up across England from homes and lamp posts to painted roundabouts. Whilst many of the displays were well meaning, the initative was apparently driven by far right groups. This seemed to be designed to build momentum for a Tommy Robinson rally in London.
October 2025
There was a downpour overnight as September rolled into October. The Labour Party conference had finished, leader Kier Starmer had historically low approval ratings. Storm Amy hit the UK that weekend. Britain lost control of its borders. Data analysed by David Webb showed that Hong Kong had a revenue problem from tax avoidance / evasion of tobacco products. The cause was less clear, it may be cross-border shopping trips, smuggling gangs or more likely both. Webb’s website was shut down on Hallowe’en.
Barclays bought US consumer loans business Fresh Egg.
The FT claimed that the UK government demanded a backdoor to British user data. The Labour Party conference had finished. Ireland elected a new president in a process marred by a large amount of spoiled votes and low turnout. Scandal dogged Labour decision to abandon China spy case – or as former British ambassador with Chinese experience put it ‘appeasement’ and a ‘masterclass in ineptitude’. Chinese conglomerate BYD sells record number of electric cars in UK as Jaguar Land Rover flounders from cyberattack by suspected ‘state actor‘. Mercedes Vision Iconic concept car unveiled in Shanghai, looked like the vehicle the relaunched Jaguar brand would want to build. The grill design mimicked a vintage Mercedes 600 ‘Grosser’ and was a world away from the current nadir of the car brand.
Apple released upgrades of three products with its M5 processor. LVMH offered hope of business growth. Adidas unveiled its football for the next world cup called Trionda which looked like a shanzhai Poké Ball (used for catching and storing Pokemon). Toyota won its ninth manufacturers championship competing in the FIA WRC (world rally championship). 2025 marked their fourth back-to-back championship win.
Indonesia blocked TikTok and then unblocked it when the platform provided user information. Analytics suggested the world usage of social media may have peaked. Amazon hit 200 million US shoppers using Prime. Alphabet celebrated the 25th anniversary of Google Ads.
OpenAI had teething troubles while developing a new consumer hardware product, and seemingly does deals with everyone for $1 trillion+ of infrastructure – by mid-October it’s easier to list who they hadn’t done a deal with. By the end of October, OpenAI announced for-profit business. Concerns about an AI economic bubble became mainstream. EU looked to promote AI digital sovereignty. Amazon Web Services had an outage, Gigabrain announced the shutdown of their Reddit search tool and pivot to Aire AI video. NHS announced major productivity benefits from Microsoft Copilot trial.
Palantir CTO Shyam Sankar criticised Jensen Huang and Nvidia (at the head of a vanguard of large American multinationals) on their continued investment in China. The title was subsequently changed on the digital edition of the op-ed in the Wall Street Journal to a more generic ‘Why the China Doves Are Wrong.’
Actress and director Diane Keaton died leaving behind a diverse body of film and TV work. I thought her role in The Little Drummer Girl is her most underrated performance.
How October 2025 memed?
My favourite one of the five ‘core’ trends Jing Daily on Chinese social media ‘fits’ was goblincore.
The name tells you everything that you need to know. The looks seems to be inspired by video games and cosplay that borrows heavily from Tolkien, who in turn borrowed from European folklore.
Escapism with a hint of darkness made a good deal of sense in a time of high youth unemployment, economic uncertainty and technological upheaval in China.
November 2025
The end of October was wet and blustery. The Economist came out and said that western government debt was at levels unseen since Napoleonic times. Donald Trump threatened to sue BBC. Vaping overtook smoking in the UK. Starbucks sold the majority of its China operations to a local private equity investor. Sony launched a cheaper Japan-only Playstation 5. Funko announced that it would struggle to continue as a going concern due to its high debt level. Celebrations for the 85th anniversary of Bruce Lee got underway.
Palantir had great sales results, but spooked investors. Microsoft admitted that its efforts to build out computing power for LLMs was limited by access to data centre electrical power.
Some of the major studios in the porn industry including Aylo who runs Pornhub came together to establish a code of conduct. Why now? China’s equivalent to Grindr have been withdrawn from local app stores.
Shein keelhauled by the French government due to it selling ‘child like’ sex dolls online. Israel gets rid of Chinese cars in its vehicle fleet as it can’t the vehicles against espionage. An executive at L3Harris was jailed for selling secrets to the Russians. BYD announced UK launch date for Porsche 911 rival.
RTÉannounced a new daytime line-up for its week day daytime programming on RTÉ Radio 1 to take it through the end of 2025 onwards. Christmas advertising arrived even earlier than last year. WARC claim that advertisers were following consumers who were starting Christmas shopping research earlier. John Lewis’ effort seemed to be a ‘homage’ to the imagery of Charlotte Wells’ film Aftersun. Nick Asbury wrote the best (all be it over the top) analysis of the advert.
Early research on generative AI produced ad creative had lessons on the best approaches to get effective creative. IPG UK revenue dropped 8.4% quarter-on-quarter in advance of its purchase by Omnicom. Omnicom completed purchase of IPG, a critic described the deal as ‘two drunks leaning on a lamp post‘.
Nigo’s streetwear brand Human Madelisted on the Tokyo Stock Exchange.
Private equity company Vista claimed job cuts were due to AI automating tasks. One in five UK companies expected to follow Vista’s example in 2026. Law firm Clifford Chance let go of 10% of back office staff due to automation and offshoring.
Wang Fuk Court in Tai Po caught fire with the flames spreading from tower-to-tower. The whole of Hong Kong went into mourning. At least 146 people lost their lives. The Chinese government was concerned that the tragedy might spark protests.
How November 2025 memed?
6-7 featured ambiguously on a rap track and was then picked up by teens to mean everything and nothing.
December 2025
The US government published their 2025 National Security Strategy on The Whitehouse website. December started off with rain and Omnicom-IPG related firings playing out in near real-time on Reddit. The share price was up 0.14% by the close of the market in New York. More job cuts were expected as Omnicom hadn’t reorganised its own portfolio of agencies. A presentation that captured the zeitgeist of social media marketing for 2025 was published.
Jimmy Lai, who founded Giordano and The Apple Daily was convicted on two counts of conspiracy to collude with foreign powers and one count of conspiracy to publish seditious materials. The UK government response was weak, the US one slightly stronger.
UK consumer spending dropped at fastest rate in four years. UK arms of discount supermarket brands Aldi and Lidl sold Christmas vegetables including brussels sprouts, turnips, carrots, parsnips and potatoes for 8 pence / bag, (or 84 – 94% discount).
WARC has research to show that global advertising spend is growing faster than the economy – but that incremental gain is accruing only to the major online platforms.
Prada closes its acquisition of Versace. Nike announced more changes in the boardroom. Superdry and Nike got called out for greenwashing claims. Toyota launched the GR GT sports car. Unilever ice cream spin-out ousted independent board chairwoman of Ben & Jerry’s.
Netflix moved forward with a $72 billion bid for Warner Studios and HBO Max. Paramount intervened. Vanity Fair ran a tell-all interview with The White House chief-of-staff. President Trump’s defamation lawsuit against the BBC moved forward.
Facebook sunset Messenger apps for Windows and macOS. PayPal applied to become a bank. The Pax Silica Declaration was signed by nine nations—the United States, Japan, South Korea, Singapore, the Netherlands, the United Kingdom, Israel, the United Arab Emirates (UAE) and Australia to bolster the semiconductor supply chain from Chinese pressure.
How 2025 memed?
YouTuber This is Antwon nailed in his description of the year as The Slop Era to capture how generative AI had captured culture in a similar manner to all things internet in culture from about 1994 onwards as the dotcom era kicked off through to the millennial bust.
404 Media discussed the phenomenon at SxSW, specifically why slop content happens.
Much of it was created by more technically-oriented people in the Philippines, the Middle East or South Asia who were looking to go viral. The reason why they did it was not to become famous per se but to gain vitality and get paid by Facebook’s creator programme.
In essence, the slop wasn’t for you or me, but designed to directly target the algorithm and then the creator gets a small share of the subsequent ad revenue. The model worked as a side hustle only because venture-backed AI models are providing a surplus of free tokens to these creators through farmed trial accounts.
By October, ‘AI slop’ was used as a pejorative for any artwork developed with the help of generative AI including a large public art mural in Chicago.
The FT worried about what it was doing to our online experience and work lives.
I have finished my strategy engagement at Google’s internal creative agency and am now taking bookings for strategic engagements. I can start immediately – keep me in mind; or get in touch for discussions on permanent roles. Contact me here.
Mico – A vibrant new way to talk with Copilot | Product Hunt – Strategy wise I have mixed feelings about it. People are already anthropomorphising LLMs and the full impact of that is still yet to be understood – I don’t think its universally good. However, we’ve already got there with Mico as a character. I imagine that fluent objects like Mico does make services stickier.
In this respect Mico looks like the kind of moral trap Meta, Bytedance have fallen into on their social media platforms.
Then there is the Clippy trauma now encapsulated as a drop of fleum – but that’s age bracketed so likely means nothing to younger cohorts.
On the other hand from a marketing effectiveness perspective, if Microsoft use Mico in brand advertising it might work well as a fluent object and boost their brand building performance. Reminded me a lot of British Gas’ Willo the Wisp character.
The 12th floor of 18 On Lan Street, a Ginza-style commercial building in Central, was handed over to Surplus Inc for HK$34 million (US$4.4 million) on Friday, according to Land Registry records. That represented a 65 per cent loss for the previous owner, Zhou Shubo, who bought the floor for HK$96 million in 2013.
Kanika Sam Ang was a director at Surplus, according to Companies Registry data. Sam Ang has been associated with the family of tycoon Tony Tandijono, who owns Cambodia-based President Airlines, Phnom Penh casino Holiday Palace and a travel agency in Hong Kong.
Gen Z Men So Scared of Getting Filmed They’ve Stopped Dating | Rolling Stone – It ends up fueling mistrust in many young men and can turn interactions into battlegrounds where boys feel they must protect their egos. Over time, empathy can go away and suspicion takes its place. Instead of feeling comfortable being genuine, sometimes they second-guess every word or message, wondering how it might be judged, shared, or mocked. But then it takes a turn and that’s why young men may retreat into online spaces that confirm the suspicions they have and help to reinforce negative stereotypes about girls. This causes a Cold War among genders where each side is suspicious of each other and doesn’t have empathy. In these divided spaces, interactions become games of defensive accusation and people grow untrustworthy of one another. – Failing is part of success and of life
Theft Bisect – via Matt Muir ‘This exists because, seemingly, the Met Police are too dumb to make this themselves’ – you can read an explanation as to the ‘why’ and the ‘how’ behind its existence here, but generally this is just a smart idea, simply-executed.‘
Chinese experts criticised the series of statements, saying they reflect some Australia politicians’ anxiety and bias toward China’s technological and military progress. Moreover, they said the spy chief’s remarks reveal an arrogance rooted in the belief that Western political system is superior – Global Times is a Chinese government published newspaper.
Software
ChatEurope – slow and would have been ok a few years ago
Nvidia faces Washington heat over alleged Huawei ties | DigiTimes – US lawmakers are ramping up scrutiny of China’s AI and semiconductor sectors, tightening oversight from corporate ties to capital flows to reinforce Washington’s edge in the global AI competition.
