Category: economics | 經濟學 | 경제학 | 経済

Economics or the dismal science was something I felt that I needed to include as it provides the context for business and consumption.

Prior to the 20th century, economics was the pursuit of gentleman scholars. The foundation of it is considered to be Adam Smith when he published is work An Inquiry into the Nature and Causes of the Wealth of Nations. Smith outlined one of the core tenets of classical economics: each individual is driven by self-interest and can exert only a negligible influence on prices. And it was the start of assumptions that economists model around that don’t mirror real life all the time.

What really is a rational decision maker? Do consumers always make rational decisions? Do they make decisions that maximise their economic benefit?

The problem is that they might do actions that are rational to them:

  • Reducing choice when they are overwhelmed
  • Looking for a little luxury to comfort them over time. Which was the sales of Cadbury chocolate and Revlon lipstick were known to rise in a recession
  • Luxury goods in general make little sense from a ration decision point of view until you realise the value of what they signal
  • Having a smartphone yet buying watches. Japanese consumers were known to still buy watches to show that they care about the time to employers when they could easily check their smartphone screen

All of which makes the subject area of high interest to me as a marketer. It also explains the amount of focus now being done by economists on the behavioural aspect of things.

  • July 2026 – the three dozen edition

    July 2026 introduction – (36) 

    Welcome to the 36th edition of my newsletter or as a bingo caller would say ‘three dozen’. And yes that’s the most uninspired yet functional bingo lingo I’ve come across on this journey so far. 36 seemed strangely appropriate as that was the temperature inside my house on the celsius scale most days this month.

    AS11-36-5390

    There is no fancy symbolism of the homophones in the Chinese language for 36. But The 36 Stratagems are sayings and tactical manoeuvres used in areas of Chinese life from business to politics.

    My personal favourite is ‘borrow a corpse to resurrect the soul‘ – take something that has been forgotten or discarded and appropriate it for one’s own purposes.

    This month’s soundtrack is by Horalion who created a divine mashup of Daft Punk and Miki Matsubara. Matsubara is famous for work in city pop and anime soundtracks. Together Something About Us and 真夜中のドア〜Stay with Me sound sublime.

    New reader?

    If this is the first newsletter, welcome! You can find my regular writings here and more about me here

    SO

    Things that I’ve written

    I explored moral licensing from agency behaviour to a global health crisis.

    Consumer grievance is coming as a steady drumbeat from consumer and economic research and has an impact on marketing.

    I curated things of interest from around the web including an interview from Jensen Huang in advance of his publicly support for open models and open weight LLMs as cybersecurity tools.

    ICYMI – Top five shares on LinkedIn

    1. Global brand strategy has got harder with tainted national brands. Europeans are now torn between the US and China.
    2. Rolex’s use of chōngchǎng (paid gig workers) as a rent a crowd in Shanghai caught the attention of watch collectors around the world
    3. Corporate earnings skewed agency growth targets due to the artificially high values of hyperscalers.
    4. Hard luxury outperforms soft luxury
    5. A video where Les Binet endorse Byron Sharp’s line on loyalty.

    Books that I have read

    Gnomon by Nick Harkaway. Gnomon is a speculative fiction book set in the near future. The UK is totally surveilled by an AI. The main character Mielikki Neith is an investigator and is looking to the death of a suspect who dies in state custody. Neith explores the neural recordings of the dissident to try and work out what happened.

    The recordings consist of four surreal impossible lives, but the lives are a form of hidden code designed to affect anyone exploring them. Questions then arise about the purpose of the surveillance system and whether it has undergone what could be called ‘model drift’.

    It’s not the easiest book to read, but his rewarding as Harkaway takes you through the different worlds that Neith explores and her own experience in the real world.

    This month I have been working my way through Dan Wang’s Breakneck. A book that looks at China’s development versus US development, written by a Chinese author who grew up in Canada. I am almost finished and it’s very readable.

    The key thrust of the book is that China is a society governed by engineers and scientists, whereas the US (and by extension much of the west for that matter) is run by lawyers. In the US and the west that breaks down slightly but the point Wang makes is China asks what’s possible, the West winds its way through restrictions. I think modernism vs. post-modernism would have been more accurate short hand descriptors; as difference goes beyond government to the ‘industrial party’ and even science fiction like Liu Cixin’s TheThree-Body Problem.

    Wang’s work has started to shape how I look about the ‘why’ behind the divergent approaches to LLMs and other products between the US and the west, but more on that another time.

    Things I have been inspired by.

    I am a long time fan of Kevin Kelly’s writing from his work with Wired magazine to the book What Technology Wants I have found his thinking right on the money. He reframes large language models as a latent space due to their massive compression of knowledge and information.

    For instance it knows all Shakespeare plays, and it could create a new play that sounded exactly like Shakespeare, and can even quote famous lines in his plays, but nowhere in the model are the actual texts of Shakespeare. Instead there is simply the abstract information about all the plays, the plots, the characters, the words, the style, the references.

    Until recently we might have thought that all the information about a thing would take up more storage space than the thing itself. That may be true for a single thing, but not for the aggregate of all things. That is because most things share a lot of common attributes with other things. The neural nets of an LLM do a magic trick by abstracting the information of everything at once, so that it uses the myriad common relationships between things and ideas to compress and abstract them into this virtual “latent” or hidden space.

    Kelly reflects on this latent space as a new form of medium, implying more potential than a productivity hack. Kelly describes this latent space as a map built in millions of dimensions making it sound like science fiction or theoretical physics.

    Gig Economy in China

    Inspired is the wrong word, but I was surprised and shocked to find out by a piece from Think China that 44% of the country’s workforce now work in the gig economy.

    Chart of the month. 

    McKinsey have published a paper on Agents, robots, and us: How AI reshapes work and skills in Europe. In it, they have estimated what tasks LLMs will do well.

    Most human skills will endure, even as they are applied differently. Three-quarters of the skills sought by European employers today, including problem solving, writing, and research, are used in both automatable and non-automatable work. This overlap means they are more likely to be applied in collaboration with AI than replaced by it, at least in the near term.”

    McKinsey on LLMs and skills

    Things I have watched. 

    German TV series Where’s Wanda made some light watching as a Germany family manages to stay together while searching for their missing daughter. It’s got humour, creative problem solving and a giant Sasquatch-type creature. I will leave it there so I don’t give away any spoilers.

    I rewatched To Live and Die in LA for the first time in years. The film was written and directed by William Friedkin, and second only to The French Connection in his filmography of outstanding films. William Friedkin was part of the New Hollywood movement, alongside figures like Francis Ford Coppola, Martin Scorsese, and Peter Bogdanovich.

    The screenplay was based on a book by a former Secret Service agent and documents an investigation into a talented counterfeiter. Like Michael Mann’s Thief which demonstrated how to crack a safe vault with a thermic lance, Friedkin went into detail abut the photolithographic process that counterfeiters used prior to desktop publishing. You get fantastic performances from an edgy young William Defoe and William Petersen.

    I found it as enjoyable to watch as I remember but I picked up on different things, particularly the detail in Friedkin’s introduction that showed the art and grim edginess of 1980s Los Angeles with retina-burning typography, with an interesting use of fonts to give ‘place’ and the cinematography which made the city a key character.

    Useful tools.

    Ever done research, or tried to pull in data from a website or table and had the format go funny. You then spend an inordinate amount of time fixing it? That’s where TextSoap comes in. Its a Mac app that cleans the data that you are bringing across, It has a number of built-in cleaners or you to choice from and also allows you to create your own one using its cleaner editor.

    Hookmark cleans up weblinks, this helps with bit rot since a lot of links add additional privacy related information that stops working over time.

    The sales pitch.

    I am a strategist who thrives on the “meaty brief”. The kind where complexity, business goals, and human culture collide, requiring synthesis into actionable insights.

    I have a decade-plus of expertise across the UK, EMEA, and JAPAC, I specialise in bridging the gap between high-level strategy and creative execution. I have been embedded within Google Cloud’s brand creative team, where I helped navigate the “messy steps” of global pivots with the rapid rise of Gen AI. Following the completion of this engagement, I have continued to partner with agencies and founders on high-impact projects. My recent freelance work includes architecting the brand narrative for a fast-moving startup, driving strategic creative for new business pitches, and developing a dynamic sports partnership activation.

    I focus on what works: balancing long-term brand growth with short-term sales. I don’t just write presentation decks; I build campaigns that actually ship. I’m hired to pressure-test their ideas before they go live, helping leadership teams avoid expensive mistakes. I prioritise commercial reality, smart budgets, and measurable results over cosmetic solutions.

    How I help leadership teams:

    • Pressure-Testing: I put clarity into complex roadmaps before you commit capital.
    • Cultural Translation: I bridge the gap between technical infrastructure and human adoption, across EMEA/JAPAC.
    • Commercial Grounding: I build strategy for campaigns that ship, prioritising measurable ROI over “hype” metrics.

    The Strategic Toolkit:

    • Brand & Creative Strategy: From B2B infrastructure to luxury travel.
    • AI-Enhanced Planning: Literate in Google Gemini and prompt engineering to accelerate insights and creative output.
    • Multi-Sector Expertise: A proven track record across Tech & SaaS (Google Cloud, Semiconductors), Consumer Goods (FMCG, Beauty, Health), and High-Interest Categories (Luxury, Sports Apparel, Pharma).

    I am an operator who reads—using a deep archive of industry expertise to ensure your next pivot isn’t just “new,” but actually sustainable. If you have a challenge that requires an all-in, hit-the-ground-running strategic lead, let’s talk.

    now taking bookings

    More on what I have done here.

    bit.ly_gedstrategy

    The End.

    Ok this is the end of my July 2026 newsletter, I hope to see you all back here again in a month. Be excellent to each other, stay cool and enjoy the sun when you can. We have less than one month to wait until the next bank holiday. 

    Don’t forget to share if you found it useful, interesting or insightful as this helps other people and the algorithmic gods of Google Search and the various LLMs that are blurring what web search means nowadays.

    Get in touch and if you find it of use, this is now appearing on my blog,  Substack as well as LinkedIn.

    PS: Why Buzz Aldrin as this month’s picture? I try and have a photo that matches the theme, in this case 36. This photo taken during the Apollo 11 mission was from the film magazine 36/N – Trans-Lunar. A tenuous but cool link.

  • Consumer grievance: a marketers atlas

    Writing about consumer grievance came from a couple of things. I was watching a lecture by professor Robert Reich at Stanford and it reminded me of Edelman‘s 2025 Trust Barometer report ‘Trust and the Crisis of Grievance‘.

    Edelman’s annual report is a barometer, a global snapshot of who and what consumers trust. As long as I can remember Edelman’s report into trust of institutions has been in decline, but the 2025 report highlighting consumer grievance marked a perceived acceleration.

    TL;DR

    • Why it matters: Most brands treat consumer complaints as a customer service headache to be managed by a chatbot. That is a massive commercial misstep. Grievance is not an admin burden; it is a raw, unvarnished map of what your audience actually cares about.
    • What is changing: We are seeing the rise of a distinct global grievance culture. When trust in traditional institutions wobbles, consumers direct their frustration at the brands they buy from. If you look closely at these grievances, you see the exact gaps where your business is failing to deliver on its promise.
    • The big picture: Two distinct trust economies now exist. There is the formal, corporate version presented in annual reports, and the real-world version lived by your customers. When the gap between the two grows too wide, the goodwill sitting on your balance sheet evaporates.
    and i, for one, will join in with anyone - i don’t care what color you are - as long as you want to change this miserable condition that exists on this earth ~ malcom x (image 2)

    Global grievance

    In the report Edelman posited that trust in institutions was no longer a universally shared civic resource. Around the world, it had become a luxury commodity that is heavily segmented by income and social class.

    Putting my cards on the table

    You the reader should question my interpretation as an enquiring mind. With that in mind, it makes sense to understand my starting viewpoint as I started to go through the subject matter. I agreed with the essence that Edelman’s research has captured. And the bifurcation of the economy is being baked into marketing plans that I have worked on over the past few years.

    I have my doubts about their methods. I believe that their motives are good admittedly moderated by commercial considerations, but I did find myself questioning the techniques used and data transparency.

    I set out to find high quality research that validated, or challenged the concept of consumer grievance.

    Edelman’s original approach was triggered by the 1999 ‘Battle of Seattle’. The survey’s structural model was built upon the mid-1990s theories of Francis Fukuyama. Fukuyama argued that institutional trust was primarily driven by upward mobility, structured legal systems, and guaranteed economic prosperity. 

    The Trust Barometer’s original respondents was restricted to “opinion leaders” or “opinion elites”. That mean’t highly affluent college-educated people aged 35 to 64 with high media consumption and active engagement in public policy. The demographic that prospective Edelman clients would sit neatly within.

    Technological and economic change saw Edelman move to a general population sample. They also moved from telephone interviews to online surveys. The number of respondents increased from 1,300 in five countries to 36,000 respondents.

    2020 saw a change in survey design that broke the idea of ‘to do what is right’ into two attributes:

    • Competence
    • Ethical behaviour

    Business did well on competency but less well in ethical considerations. Government, media and NGOs were viewed as lacking in both . Edelman compensated for this by studying proximal trust and employee trust.

    Edelman introduced the concept of ‘trust brokering’ – an organisations capacity to support dialogue and bridge social divides.

    The Genesis of Global Grievance

    With a flair for drama and storytelling Edelman’s Trust Barometer links the decline of trust and the genesis of consumer grievance back to the 1999 ‘Battle of Seattle’ protests against the World Trade Organisation ministerial conference held in the city. While a wide coalition of both left and right political figures, NGOs, organised labour were there to protest against unfettered globalisation the wheels were already in motion.

    …globalization is not new, but that the present era of globalization, driven by competitive global markets, is outpacing the governance of markets and the repercussions on people. Characterized by “shrinking space, shrinking time and disappearing borders”, globalization has swung open the door to opportunities. 

    Breakthroughs in communications technologies and biotechnology, if directed for the needs of people, can bring advances for all of humankind. But markets can go too far and squeeze the non-market activities so vital for human development. Fiscal squeezes are constraining the provision of social services. A time squeeze is reducing the supply and quality of caring labour. And an incentive squeeze is harming the environment. Globalization is also increasing human insecurity as the spread of global crime, disease and financial volatility outpaces actions to tackle them.

    The above quote came from the introduction to the 1999 Human Development Report (HDR) by the United Nationals Development Programme (UNDP).

    As the 1999 HDR introduction alludes, by 1999 globalisation was not new and was already happening from Japanese consumer electronics to Korean shipbuilding. Instead globalisation was moving at a pace that institutions were no longer able to keep up with it or control it.

    This viewpoint is supported by Professor Reich’s lecture on the factors driving the rise voter interest in populist leaders like President Trump. Reich outlines a four decades-long trajectory marked by:

    • The decoupling of productivity from wages. The US Board of Labour & Statistics paper Understanding of the labor productivity and compensation gap, considers the gap to have opened up in the 1970s. The fissure since the 1970s was also documented by the Economic Policy Institute’s work The Productivity-Pay Gap. The Federal Reserve Bank of St. Louis published research showed how corporate profits decoupled from employee compensation from the early 2000s on.
    • The Reagan era erosion of labour bargaining power. Similar erosion also took place in the UK under the Thatcher government.
    • The concentration of corporate market power. Deregulation from the 1980s on, allowed the financial and corporate sectors to become politically and economically dominant. Reich argued that this created a system average citizens perceived as rigged to favour corporations and big banks over ordinary workers. The 2008 bank bailout while ordinary citizens faced foreclosures cemented this perception. This isn’t only a western issue. 44% of China’s workforce now work in the gig economy.
    • The resulting financial exhaustion of the working and middle classes. American families employed three coping mechanisms to maintain their standard of living. First, they simply worked longer hours. Second, women entered the paid workforce in massive numbers, creating the dual-income household out of necessity. Third, the other measures reached their limit, they tapped into the equity in their homes, until 2008

    The US Bureau of of Labour had three hypotheses for factors driving the labour compensation – productivity gap:

    Globalisation: Increased offshoring shifted production and service activities to other countries. Consequently, income that might have previously gone to domestic workers was reallocated to intermediate purchases and foreign labour.

    Increased Automation: As technological automation increases, the overall need for human labor input drops. When machines replace workers, the share of income dedicated to capital naturally increases relative to the share dedicated to labor.

    Faster Capital Depreciation: Modern business capital, such as computer hardware and software, degrades or becomes obsolete much faster than the heavy machinery used in previous decades. Because these assets must be upgraded or replaced more frequently, a higher share of industry income must be diverted away from wages to cover these ongoing capital replacement costs

    When the report explored specific industry sectors such as electrical power generation and supply, the divergence correlated with a fourth factor, deregulation. This happened to the US energy market in 1992.

    The Energy Policy Act, 1992 created domestic competition. Incumbent local monopolies became more efficient or went under. Productivity was achieved through new technology and aggressive cost-cutting including layoffs. Workers produced far more value per hour, but because the company is fighting to keep prices low to compete, wages didn’t rise at that same rate.

    Two trust economies exist

    But all of these factors didn’t impact across society equally. What Edelman’s Trust Barometer acknowledged, but didn’t highlight at the time was the existence of two trust economies existing in the same space, but for different people.

    The top quartile of income earners trusted the system. The bottom quartile didn’t. This was mirrored in findings by other organisations, notably the OECD’s Government at a Glance 2025 report and UNU WIDER Trust in a changing World 2025 paper.

    There is a decline in governmental trust documented by the Pew Research Center Public Trust in Government: 1958-2025 – a consistent downward trend much longer than 1999, back as far as the mid-1960s for the American public, much earlier than Edelman’s work seems to suggest.

    Business and consumer grievance

    Edelman posits that businesses have become more trusted than governments. It’s a comforting anchor for a business that sells corporate reputation work. The reality may be different. The decline in government trust has merely set a very low bar according to research by Bentley University and Gallup. The rise of zero-sum thinking exemplified by Zero-sum Thinking and the Roots of US Political Differences paper for the National Bureau of Economic Research (NBER), will sweep business attitudes along as part of systemic distrust. The Carnegie Endowment for International Peace posits that this zero-trust thinking has brought conflict within the US itself and driven protests around the world – globalised consumer grievance.

    The Bridging Divides Initiative (BDI) at Princeton University documented an increase in political violence risk factors across the US mirroring the 1960s and early 1970s . German insurance company Allianz warned that this behaviour represented a risk to large businesses across their operations and supply chains. This is outside and separate to government military actions like the US – Iran conflict or the Russian invasion of Ukraine.

    There are problems inside organisations as well. Employer trust has been in decline according to Edelman. The causes are diverse and amplify consumer grievance:

    • Globalisation
    • Automation and LLMs
    • Economic conditions

    Managers are supervising but failing to manage. They struggle to coach or develop their staff sufficiently.

    Media sector consumer grievance

    The media business is seeing the impact first hand. Fear of deliberate deception is at the cente of the World Economic Forum Global Risks Report for 2025. That fear is driving growing divisions in society and between societies, further feeling consumer grievance. According to The Reuters Institute Digital News Report of the same year these concerns about deception are driving audiences away from ‘legacy’ media companies to platforms of editorialists and opinion formers across podcasts, YouTube and other social platforms.

    Edelman claims that this audience migration is down to beliefs about the motivations of media organisations. 75 percent of high-grievance respondents believe news organisations would rather attract a big audience than report what people actually need to know. 67 percent believe the media prefers to support an ideology over informing the public.

    On slight glimmer from Edelman’s data was that trust in traditional media dropped by four points, versus trust in search engines dropping by five. But that delta will be cold comfort to media executives watching their business being eaten alive by technology platforms.

    Goodwill on the balance sheet

    Goodwill on the balance sheet of a company tries to capture brand value, the value of customer relationships and wider stakeholder trust within a business. PwC research provided some empirical evidence to support RoI on the stakeholder trust component of goodwill. But Edelman overreaches in its 2026 Edelman Trust Barometer Special Report: Brand Growth in an Insular World report to try and do the same with brand value. In this case, Edelman tries to use survey responses, rather than observed behaviour data and the scientific method to try and overturn several decades of validated marketing science research.

    Consumer grievance: so what?

    It’s very easy to ignore consumer grievance as ethereal fiction or background noise. Being part of the solution can end up being part of the problem.

    Brand purpose real talk

    For some brands it make sense to pick a side, but if you do commit to the brand purpose. It may cost you, but if you really have a brand purpose, or ‘higher purpose’ as David Aaker called it, then the 30% opportunity cost in marketing effectiveness is worth it in your calculus.

    Effectiveness expert Les Binet’s two question test on brand purpose makes a lot of sense:

    • Would you still do it if you couldn’t publicise it?
    • Would you still do it if reduced your long term profits?

    If the answer to either question is no, then it’s not purpose driven.

    Brand purpose can be a struggle to retrofit. After the success of Dove being re-positioned from a functional product to the ‘real beauty’ positioning; Unilever looked to replicate the effect with varying degrees of success.

    You also need to be aware of brand purpose not being global. Apple, Meta and Nike have made decisions in Asia that are vastly different to what they do in western markets. There is no coherence or congruency in their world view. Neoliberal universal values died in corporations long before they were devalued in mainstream western political discourse. Both the online world and social media will shine a spotlight on this difference. This perceived corporate hypocrisy will increase consumer grievance and reduce consumer trust in the brand to do ‘the right thing’.

    You could make the argument that Apple, Meta and Nike all fail Binet’s brand purpose test.

    Outside of geopolitical differences, even the most basic demographic differences can be landmines for brand purpose. It’s an accelerant for consumer grievance and one that marketers at the likes of Unilever and P&G have either ducked, or got tonally wrong.

    Patagonia is arguably the most prominent brand purpose led brand, yet it faces a slew of dilemmas. You could argue that Patagonia’s self description as being ‘a work in progress‘ is at best a temporary fix with an uncertain sell-by date during a time of consumer grievance.

    Brand promise

    The brand promise is the idea of what a consumer can expect from the product or service that they are purchasing. There is a temptation to reduce costs. You see this with automated services and reduced sized packaging.

    If you are transparent about the trade-off consumers will self-select and be fine with it. Telecoms companies have been doing this for years.

    • Plusnet – BT’s no-frills ISP
    • Voxi – Vodafone’s self service brand that comes at a discounted price

    Does your consumer journey penalise behaviour instead of rewarding loyalty. if it does, that will fuel consumer grievance. Audit these friction points and act on them. Fix underlying operations-related grievances and the customer lifetime revenue will take care of itself.

    You can more content on consumer behaviour here.

  • AI reckoning & more stuff

    AI reckoning

    AI reckoning as a term is a rather stark warning. Even more so when it comes from Aswath Damodaran who is a professor of finance at the Stern School of Business at NYU (New York University).

    The reckoning that Damodaran is concerned about is a ‘Minsky moment‘ and represents a stark contrast to the boundless techno-optimism of Marc Andreessen.

    The AI reckoning wasn’t on the mind of investors who bought into Cerebras Systems.

    Cerebras Systems makes wafer sized chips with memory and processing on the same die. This reduces latency and increases speed. As cool as Cerebras Systems technology is, the company currently has sales of $510 million and was valued on its opening day of trading at $71 billion.

    Business

    Long Lake agrees to acquire American Express Global Business Travel, the world’s largest corporate travel platform, for $6.3 billion, with support from General Catalyst and Alpha Wave | Amex GBT

    China

    Trump’s China Trap | Foreign Affairs

    Consumer behaviour

    When the Internet Was a Place – Front Porch Republic

    Design

    Great documentary on the history of Braun and its relationship with the Ulm School of Design.

    Economics

    Is AI the New China Shock? | The Daily Spark

    AI Job Loss Tracker — The Alliance for Secure AI

    The Shanghai Cabaret Theory of Globalization | Patrick Kho

    FT Alphaville (@ftav): “Remember when tech was a cap-lite industry? lol, lmao even.”

    Amazon Employees Say Layoffs, AI, and RTO Are Reshaping Jobs – Business Insider

    Energy

    Peter Thiel backs $1bn ocean data centre start-up powered by waves | FT

    EV ownership at ‘tipping point’ in many parts of the world, experts say | FT

    FMCG

    Chinese bubble tea chain with more stores than McDonald’s wants to conquer the world | FT

    Hong Kong

    Hong Kong banks dependent on SWIFT are warned of new US sanctions – Asia Times

    Innovation

    Microsoft 2026 Work Trend Index Annual Report

    Philippa Sigl-Glöckner, economist: ‘Germany lacks breakthrough innovation’ | Le Monde

    China unveils driverless mining truck that can ‘crab-walk’ across rough terrain | South China Morning Post

    Korea

    In Korea AI is merging with folk religion.

    Marketing

    adidas has made World Cup shirts for dogs | Famous Campaigns – its a pity that they didn’t roll this out in the UK as well

    Lululemon Just Committed Brand Harakiri. – by Camille Moore

    Media

    The Devil Wears Prada 2: a comms strategy masterclass | Will Poskett

    Paid media budget planner – Empower Agency

    UK adspend increased 6.4% in 2025 as AA/Warc updates data presentation – The Media Leader

    Online

    Reggie Fils-Aimé Says Amazon Asked Nintendo To Break The Law | Kotaku

    A.I. Helps Online Ad Businesses Boom – The New York Times

    Security

    AI-Powered Cyberattacks | Robert Scoble and A glimpse into cyber-security’s AI-driven future | The EconomistA few years ago a participant used the conference network to hack a water-treatment facility in America (Messrs Wyler and Stump are cagey about the details). Another hid behind the din of legitimate hacker traffic to attack government websites and payment systems. The noc team traced him, sent him a message reminding him that doing illegal things from Black Hat was still illegal, then watched him close his laptop and walk away. Hackers on the other side of the world try their luck too. When the registration server was switched on, attacks began at once, including traffic that appeared to originate in Romania….Mr Stump says the noc has seen a pattern across multiple Black Hat conferences in which Taiwanese participants show up with hacked devices. “Most of [the traffic] goes back to China,” he says. ai-powered attacks by nation-states or cybercriminals are likely to intensify..
    The team thinks the ai race is only beginning. For Mr Wyler, the vulnerabilities discovered by Mythos, including some that have gone undetected for decades, are to be welcomed rather than feared. “We now know they’re there.”
    All the same, cautions Mr Stump, the next two years will be turbulent, as more flaws will be uncovered; more breaches will occur as firms feed sensitive data into ai systems; and more insecure code will be written.

    “No Man Left Behind”: American Technology Ships with Our Values | A16z

    Tank maker KNDS pushes Berlin to decide on taking stake before IPO | FT

    AeroVironment Switchblade 400 drone joins US Army LASSO program to replace traditional anti-tank missiles

    Green Berets Deploy Ship-Killing Drone in Luzon Strait Maritime Strike Exercise | USNI News

    Semiconductors

    AGI CPU: Arm’s $100B AI Silicon Tightrope Walk – EE Times

    Arm projects $2bn in sales of its new AI chip from next year | FT

    Arm CEO promoted to head Softbank’s international operations | Electronics Weekly

    TSMC sells its Arm shares | Electronics Weekly

    CASCI Composite Shows AI Chip Strength as Mid-Stream Output Slows | Tim Culpan

    Commentary: Intel names TSMC as key partner; insider drives its comeback | DigiTimes

    Huawei targets US$12 billion in AI chip sales as China firms seek Nvidia alternatives | DigiTimes

    Software

    Have LLMs improved patient outcomes? – by Gary Marcus

    The Abstraction Fallacy: Why AI Can Simulate But Not Instantiate Consciousness — Google DeepMind

    Technology

    Apple Doubles MacBook Neo Production, Orders Fresh Batch of Chips | Culpium

    China to Invest in DeepSeek at $50 Billion Valuation – WSJ and Three reasons why DeepSeek’s new model matters | MIT Technology Review

    Iran war disrupts the circuit board supply chain, raises costs for tech firms | Reuters

    Quantum’s Industrial Moment | CNAS

    Interesting even put together by Sequioa Capital – AI Ascent 2026 event.

    Web-of-no-web

    Huawei targets US$12 billion in AI chip sales as China firms seek Nvidia alternatives | DigiTimes

    Wireless

    Starlink vs OneWeb | Electronics Weekly

  • 2026 World Cup + more stuff

    I am not a football fan, but I recognise the power that the 2026 World Cup has to move hearts and minds. This year it’s being hosted by Canada, Mexico and the United States. The 2026 World Cup fan experience is shrouded in uncertainty.

    https://flic.kr/p/2aqzM1j

    I found it interesting that both adidas with the launch of its match ball and Panini with the launch of its sticker book both marked the start of the countdown to the 2026 World Cup season.

    adidas has made World Cup shirts for dogs | Famous Campaigns – its a pity that they didn’t roll this out in the UK to celebrate the 2026 World Cup as well.

    Branding

    How many brands are there? | Europanel

    Business

    Publicis has built the best house on the street. Now it needs to move neighborhood | The Drum – undervalued due to poor performance by Omnicom and WPP

    China

    Chinese countryside’s quieter strains – by Yuxuan JIA – Decades of son preference have left villages full of unmarried men, driving bride prices higher and sustaining a shadow market for “Vietnamese brides” that can slide into fraud, coercion, and trafficking. Young people, especially young women, are drifting away from rural patriarchy and the obligation-heavy world of kinship and “face”, while the influencer economy and short-video apps offer fantasies of easy money to teenagers with weak school prospects.

    China reviews $2bn Manus sale to Meta as founders barred from leaving country | FT

    Consumer behaviour

    Argos sparks consumer outrage over toddler ‘influencer kit’ – Retail Gazette

    Half of Gen Z Uses AI, but Their Feelings Are Souring, Study Shows | New York Times – this reminds me of consumer sentiment around email and information overload during the late 1990s and early 2000s. We’re going through a period of norming now

    Why Catholicism is drawing in Gen Z men | Washington Post – “I don’t want to be too disparaging about them because they’re our Christian brothers and sisters, but worshiping in a big former supermarket with dry ice machines and a pop band, it’s not really traditional Christianity,” Father Longenecker said. His new parishioners are attracted to “very traditional worship with lots of incense and altar boys and sacred music in the traditional style.

    Design

    EAGA – East Asian Graphics Archive

    The interesting odd story behind the design behind house numbers.

    Economics

    Berkeley professor Robert Reich on the factors that he saw that brought President Donald Trump to the White House.

    This War Will Make You Poorer – by Ed Elson – Prof G Media

    FMCG

    Danone doubles down on its area of strength in functional foods: Danone to buy meal-in-bottle maker Huel in €1bn deal | FT

    Health

    Battle for weight-loss supremacy shifts from jabs to pills | FT

    How China is supplying America’s “biohacking” craze – GZERO Media

    Hong Kong

    Hong Kong’s complex role in bypassing sanctions against Russia | Le Monde – this isn’t doing what little is left of Hong Kong’s reputation any good

    Hong Kong arrests hedge fund and brokerage staff in $300mn insider trading probe | FT

    More NatSec | Big Lychee, Various Sectors – From the government’s press release… Safeguarding national security is a continuous endeavour with no end point. At its core this sounds like the Stalin derived Maoist principle of struggle. National security ‘enemies’ like Jimmy Lai, Chow Hang-tung, Lee Cheuk-yan and Albert Ho serve the same purpose as George Orwell’s character Emmanuel Goldstein in his novel Nineteen Eighty-Four. The ever-tightening system is allegedly concerned with leaderless lone wolves, small cells and external actors – but the reality is just control in Orwell’s novel.

    Revising Hong Kong’s Past – Lingua Sinica – Among the changes noted was a complete erasure of references to the Tiananmen Massacre, which was recast as “political turmoil in the late spring and early summer of 1989.” Gone from the exhibit entirely, the Ming Pao reported, is a previous image that showed one million Hong Kongers taking to the streets in 1989 in support of the demonstrators in China.

    Silence Follows Harassment – Lingua Sinica

    Hong Kong’s claw machine boom is mutating into a Pachinko-style trap | Dim Sum Daily

    Hong Kong’s dying news stands tell a story of change – BBC News – I loved Hong Kong newsstands and loved the magazine racks which were brilliant. I remember religiously buying Milk magazine

    Customs criticised for pursuit of outdated CD and VCD piracy | South China Morning Post

    How to

    I am skeptical about ‘gurus’. However, I found this Tony Robbins video good for getting out of a period of ‘stuckness’ in my thinking. Robbin’s ideas about priming, in particular they way he links physical activity to mental exercises works and has a good deal of neuroscience behind it.

    Access and repair a broken disk image – The Eclectic Light Company

    Ideas

    Hawk shape shifting in flight may guide future drone control | Spacewar

    How Wong Kar-Wai Created the Future – by Patrick Kho

    Why Swedish Schools Are Bringing Back Books | Undark & Opinion | Technology Weakens Our Minds. It’s Time to Resist. – The New York Times

    Innovation

    ‘A Cheaper Javelin’: New Anti-Tank Missile Advances Through Testing | Next Gen Defense – what’s interesting in this is the horizontal integration wth an Android application layer and the cost savings

    We Need a New Science of Progress – The Atlantic

    Japan

    Japan loses its thirst for vending machines | FTTens of thousands of vending machines are vanishing from Japan, as machines that once symbolised the nation’s love of innovation are shunned in a climate of rising inflation and deepening labour shortages.

    The nation’s stock of 2.2mn drinks vending machines is down 23 per cent from its bubble-era peak in 1985, according to the Japan Vending System Manufacturers Association.

    The faltering economics of running a national vending machine empire were exposed when DyDo, Japan’s third biggest operator, this month said it would scrap almost 7.5 per cent of its network of 270,000 units after posting its largest ever annual loss. – what surprised me was that the vending machines weren’t digitised.

    In the studio with Nigo – Japan’s premier polymath | Ft

    Korea

    The new food fad sweeping Korea | FT – dujjonku or Dubai cookie

    Luxury

    The Brand Age | Paul Graham

    Why do men love Stone Island | FT“Football in the late 1980s and 1990s was a heavily policed environment under surveillance, where visibility carried risk,” says Andrew Groves, professor of fashion design at the University of Westminster. “On the terraces, clothing wasn’t decoration, it was risk management. Stone Island mattered because its garments were already structured around concealment, modulation and elective visibility. The detachable badge, reversible constructions, modular hoods and certain fabric treatments enabled wearers to calibrate how legible they were, depending on context. Football casuals were not simply performing taste; they were managing recognition.”

    Materials

    Chinese Titanium – by Irene Zhang – ChinaTalk

    The Seasoning Company Behind Your Food Flavors Controls The Future Of AI Chips, And Supply Is Running Dangerously Low | WCCF Tech

    Shipbuilding feels pinch from war-driven paint and lubricant shortage | FT

    Media

    Apple TV, Siri Targeted in EU Broadcaster Complaint Citing DMA Rules – MacRumors

    Meta stole Sarah Wynn-Williams’s voice. It couldn’t stop her exposé | The Times – her publisher on the author of Careless People

    A.I. Helps Online Ad Businesses Boom – The New York Times

    UK adspend increased 6.4% in 2025 as AA/Warc updates data presentation – The Media Leader

    Online

    Every influencer eventually becomes a merch store | The Verge

    Apple rolls out UK age checks for iPhone users | FT – interesting move, I did notice that it assumed my account was adult due to the length it had been held. It reminded me of friends who registered email addresses, domain names and even social media handles for their newly born children – and did just enough to keep the accounts alive.

    The 49MB Web Page | thatshubhamBeyond the sheer weight of the programmatic auction, the frequency of behavioral surveillance was surprising. There is user monitoring running in parallel with a relentless barrage of POST beacons firing to first-party tracking endpoints (a.et.nytimes.com/track). The background invisible pixel drops and redirects to doubleclick.net and casalemedia help stitch the user’s cross-site identity together across different ad networks.

    When you open a website on your phone, it’s like participating in a high-frequency financial trading market. That heat you feel on the back of your phone? The sudden whirring of fans on your laptop? Contributing to that plus battery usage are a combination of these tiny scripts.

    Ironically, this surveillance apparatus initializes alongside requests fetching purr.nytimes.com/tcf which I can only assume is Europe’s IAB transparency and consent framework. They named the consent framework endpoint purr. A cat purring while it rifles through your pockets.

    So therein lies the paradox of modern news UX. The mandatory cookie banners you are forced to click are merely legal shields deployed to protect the publisher while they happily mine your data in the background

    Security

    Interpol – Operation Synergia III leads to 45,000 malicious IPs dismantled and 94 arrests worldwide

    The AI-driven ‘kill chain’ transforming how the US wages war | FT

    Iran war lifts K-defence company offering cheap Patriot rival | FT

    Amazon holds engineering meeting following AI-related outages | FT – a “deep dive” into a spate of outages, including incidents tied to the use of AI coding tools.

    The online retail giant said there had been a “trend of incidents” in recent months, characterised by a “high blast radius” and “Gen-AI assisted changes” among other factors, according to a briefing note for the meeting seen by the FT.

    Under “contributing factors” the note included “novel GenAI usage for which best practices and safeguards are not yet fully established”.

    FBI is investigating breach that may have hit its wiretapping tools | The Register

    Andrew Cockburn · Beware the mattress: Mossad’s Kill List

    The Geopolitical Chokepoints of Artificial Intelligence | AI Supremacy

    France Introduces Telecom-Based Counter-Drone Network Using 19,700 Towers to Protect Critical Assets

    China Is Cracking Down on Scams. Just Not the Ones Hitting Americans | WIRED & Scam Inc has a new weapon | The Economist – Chinese organised crime run Cambodian ‘scam’ factories that use social engineering techniques are now using malware as well.

    Anthropic says Claude Mythos model is dangerous enough that the company isn’t selling it. | TechBrew

    Russia Hacked Routers to Steal Microsoft Office Tokens – Krebs on Security

    A glimpse into cyber-security’s AI-driven future | The EconomistA few years ago a participant used the conference network to hack a water-treatment facility in America (Messrs Wyler and Stump are cagey about the details). Another hid behind the din of legitimate hacker traffic to attack government websites and payment systems. The noc team traced him, sent him a message reminding him that doing illegal things from Black Hat was still illegal, then watched him close his laptop and walk away. Hackers on the other side of the world try their luck too. When the registration server was switched on, attacks began at once, including traffic that appeared to originate in Romania….

    Mr Stump says the noc has seen a pattern across multiple Black Hat conferences in which Taiwanese participants show up with hacked devices. “Most of [the traffic] goes back to China,” he says. ai-powered attacks by nation-states or cybercriminals are likely to intensify…
    The team thinks the ai race is only beginning. For Mr Wyler, the vulnerabilities discovered by Mythos, including some that have gone undetected for decades, are to be welcomed rather than feared. “We now know they’re there.”

    All the same, cautions Mr Stump, the next two years will be turbulent, as more flaws will be uncovered; more breaches will occur as firms feed sensitive data into ai systems; and more insecure code will be written.

    Semiconductors

    Arm launches own AI chip in high-stakes strategy shift | FT

    Google taps Intel for another round of custom network chips • The Register

    TSMC’s Kumamoto Fab Upgrade: A Security-Driven Reconfiguration of Indo-Pacific Chip Competition – The Diplomat

    Software

    China’s AI Companies Are Going Closed Source | ChinaTalk

    OpenAI acquires popular tech talk show for ‘low hundreds of millions’ | FT – ChatGPT-maker moves into broadcasting with deal for TBPN after it had pledged to abandon ‘side-quests’ – I think that this is trying to balance the narrative with Anthropic which is ripping ahead. In past decades you would have dumped a lot of money into a campaign run by a PR agency, but time moves on

    Axios AI+ | AI’s compute wars – pretty much what I have been talking about on the Dot LLM Era

    Taiwan

    There’s a Whole Lot of Taiwanese AI Winners Not Called TSMC

    The PLA has stopped flying aircraft close to Taiwan – I can’t figure out why and that worries me | Drew Thompson

    PC price hikes and a test for Taiwan | Ft

    Technology

    MacBook Neo Teardown Reveals It’s the Most Repairable Apple Laptop in Ages | Cnet

    Oracle prepares for lay-offs as it hails efficiencies from AI coding tools | FT

    The Debt Beneath the Dream – On my OmMinsky moment in the offing?

    AppleUnsold – The Apple products they won’t sell you

    Google’s TurboQuant breakthrough is rattling memory chip stocks | Quartz

    Web of no web

    New Internet of Things Plan Targets Global Infrastructure – Jamestown – A new action plan for the Internet of Things (IoT) increases the possibility that Chinese-built connected infrastructure in the United States could become a platform for data access, cyber pre-positioning, and attacks on U.S. cyber-physical systems in a prolonged crisis or confrontation. The plan, launched jointly by nine ministries, defines IoT as a total cyber-physical environment that links “people, machines, and things” across sensing, networks, platforms, applications, and security, and sets targets for 10 billion terminal connections, more than 50 standards, and deployment across production, consumption, and governance. The plan indicates Beijing is moving from connected devices to connected backbone systems. It reinforces the new Five-Year Plan, suggesting that the People’s Republic of China (PRC) wants to supply not only endpoints like sensors, appliances, and vehicles but also the next generation of AI, computing, and space-ground communications infrastructure that will underpin them.

    Wireless

    At MWC, Ericsson Details AI-Native 6G Timeline – EE Times

    The 6G clock ticking: Why silicon architecture for 2030 must start in 2026 – EDN

    Ireland’s first mobile video call via satellite is made | RTÉ

  • 2026 AI outlook of Marc Andreessen

    2026 AI outlook introduction

    Marc Andreessen’s 2026 AI outlook was published by A16z. As one of the leading funder of Silicon Valley startups, his world view matters.

    IMG_0435

    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

    FeatureMarc Andreessen (The techno-optimist)My own view (The economic limiting skeptic)
    Current PhaseInning 1. “Biggest technological revolution of my life.”Phase 1: The boom / The Inflation of a bubble.
    RevenueReal, unprecedented, showing up in bank accounts.Potentially illusory for at least some players; reliant on untenable cost savings.
    InfrastructureShortages lead to gluts; cheap chips drive adoption.Amortisation risk: hardware obsolescence in 3-5 years.
    PricingUsage-based is great for startups; prices falling fast.Pure-play LLMs selling tokens below marginal cost (burning cash).
    GeopoliticsA race the US must win; open source is key.US dominance challenged; Chinese models are more efficient and effective enough for organisations from Singapore to Silicon Valley to adopt them.
    OutcomeLong-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 and who 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”.