Benedict's Newsletter: No. 619
NO. 619   FREE EDITION   SUNDAY 23 NOV 2025
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My work

AI eats the world

Twice a year, I produce a big presentation exploring macro and strategic trends in the tech industry. New in November 2025, ‘AI eats the world’. LINK

Podcasts

I talked about my new presentation on my podcast with Toni Cowan-Brown, and also talked about AI more generally with Edelman. PRESENTATIONEDELMAN

News

Google goes back to the top of the leaderboards

I’m old enough to remember when Google was doomed, search ads were doomed, and Sundar Pichai was the new Steve Balmer. Not any more. Gemini 3 is SOTA and the new version of the ‘Nano Banana’ image generator has gone viral. I struggle to get particularly excited beyond that: there will be another SOTA model in a month or two, and one of these is really changing the trajectory. What does interest me is that the images going viral aren’t the usual cheesy stock images - instead, people are feeding in videos, audio or slides, or just asking questions, and getting detailed diagrams and infographics.  How long will it be before you ask for a recipe or instructions and the chatbot will make you an interactive animation or video explainer? GEMININANO BANANA

OpenAI Ads coming soon

OpenAI is getting a bit more forthcoming about ads.  It has intent, and wants to have commerce flows (see the app platform announced recently, and now there’s a deal with Target): once it has that, ads are inevitable. Note that while it claims 800m weekly active users, apparently only about 5% are paying. LINK

Nvidia keeps doing it 

Nvidia’s latest quarterly results show demand isn’t slowing down yet: revenue was $57bn versus $35bn a year ago. The stock is still down: the markets are getting more worried about bubbles and circular trades. See this week’s column. LINK

The FTC loses again

The FTC has lost yet another big tech breakup case, this time against Meta, failing to undo the acquisitions of Instagram and WhatsApp. 

This is the cast that the judge originally threw out because the FTC just forgot to say what market it was claiming Meta has a monopoly of or what share it claimed it had of that: he allowed it to refile, and the FTC then claimed that Meta does not compete with TikTok, YouTube, or iMessage, but does compete with something called MeWe, which no one has ever heard of. Market definition is the basis of any competition case, and this was laughable - gerrymandering, not analysis. Now the judge has agreed, saying that events in the market since the WhatsApp a decade ago show how dynamic and competitive it remains. 

It would be easy but also true to say that the antitrust crusade against Big Tech, spearheaded by Lina Khan, now looks like a failure. I  have a lot of sympathy with the ‘neo-Brandeis’ idea that US competition law, unlike the UK or EU, was too narrowly focused on consumer prices as the only measure of harm: a free monopoly could also be bad. But this wasn’t accompanied by rigorous analysis of the actual market structures they wanted to change, nor a clear sense of what a good remedy would be (the problem in the Google search case). So, the ‘landmark’ 2020 House Antitrust Committee report was riddled with basic errors: for example, it claims there had been a ‘sharp decline’ in startup creation and funding, citing as source a report that uses data ending in 2011 - after which the US experienced the hottest market in startup creation in its history. Meanwhile, Lina Khan’s famous and career-making paper on Amazon did not contain the word ‘cash’ once.  The more interesting problem, though, might be that revising price as the only test is not enough - current models of market definition and ‘dominance’ might also be too narrow. COVERAGERULING

The week in AI

Filling in the boxes: last week Anthropic announced a plan to build $50bn of its own infrastructure; this week, it’s done a deal to buy $30bn of compute plus one GW from Azure, while Nvidia and Microsoft will invest up to $10bn and $5bn. LINK

As reported last week, Yann LeCun confirmed that he will leave Meta and do a startup focused on his projects to move AI research beyond LLMs. LINK

The White House is still looking at trying to ban US states from passing their own AI acts, on the basis that any U AI company would have to spend a lot of time and money complying with dozens of slightly different rules, instead of one set of national rules (which, however, do not yet exist). LINK

Adobe is acquiring SEMrush, a hot company in the world of trying to work out where your brand shows up in ChatGPT, for $1.9bn. LINK

Google hired a former CTO of Boston Robotics, the famous robot dog company. LINK

Google’s head of AI infrastructure said that the company needs to think in terms of doubling compute capacity every six months, and 100x over the next five years, without increasing cost or power budgets. LINK

Death to cookie banners? 

The EU has a new bill aiming to rationalise and simplify all the digital regulation it’s introduced recently, resolving overlaps, trying to add more certainty to outcomes, and (more controversially) relaxing rules around things like cookies (by expanding the allowable use cases and allowing automated consent at the browser level).  You can tell this is a good thing by seeing who gets angry about it. LINK

WhatsApp’s oops

A security researcher discovered that WhatsApp wasn’t rate-limiting the feature that matches phone numbers in your address book against accounts, allowing anyone to scrape a couple of billion profile names. This is public data, but still not ideal. LINK

Foreign actors 

Twitter turned on a feature letting you see where an account is based (derived from the IP address used to post), and unsurprisingly a lot of high-profile pro-Trump influencer accounts are not based in the USA - they’re in Pakistan or Nigeria, and probably only in it for the revenue shares. (This is a general problem, but Twitter fired most of its platform integrity team). LINK

RIP Ocado?

Ocado pioneered online grocery delivery, creating and building cutting-edge robotic fulfilment centres, then pivoted to selling the technology. But this week Kroger said it will put down three of its eight facilities that use the tech (it shut another three last year), taking a $2.6bn charge. The question was always to work out where the economics and density supported picking in-store versus ‘dark stores’ versus robot warehouses, and the robots are hardest. Ocado has a market cap of $2bn today versus Instacart’s $10bn - another tough model. LINK

About
What matters in tech? What’s going on, what might it mean, and what will happen next?

I’ve spent 25 years analysing mobile, media and technology, and worked in equity research, strategy, consulting and venture capital. I’m now an independent analyst, and I speak and consult on strategy and technology for companies around the world.

Ideas

US AI companies look for users in India and SE Asia. LINK

S&P on how the global electricity generation industry does not have capacity to meet demand from AI. People are booked up through 2030. LINK

Almost six years ago I saw a presentation on Gaia-X, a European project to replace hyperscalers by publishing a lot of PDFs describing new standards for how hyperscale data centres should work. Yes, this was almost clinically delusional. They’ve only just given up. LINK

More on that LA AI podcast farm churning out 3000 episodes a week with eight employees. LINK

Pinterest posted a long piece on their experience building ML systems over the last decade. LINK

China is looking at limiting default performance for EVs, since electric torque means that basically any car can have the acceleration of a supercar, and that’s dangerous. LINK

Outside interests

A Polignac wardrobe. LINK

The Ohtake Residence. LINK

And the Stahl House (you know this one). LINK

Everyone in LA wants a giant door. LINK

Data

Interesting Edelman global survey on consumer attitudes to AI. Too many points to summarise - well worth reading. LINK

Google and Bain’s annual report on tech in Southeast Asia. LINK

Atomico’s annual report on the state of European tech. LINK

There is now a ‘Lumascape’ market map for AI. LINK

Another decent survey on LLM use in the use, this time split by generation and use case - about 20% of US teenagers have used this to write a report so far. LINK

Preview from the Premium edition

In a bubble… 

My new presentation has two slides explicitly about bubbles. The first points out patterns. In a bubble, people draw smooth lines on log-scale charts and convince themselves that this has predictive value. They say things like ‘you don’t understand exponential growth.’ I’ve heard this one far too often on podcasts with researchers from AI labs in the last few months, none of whom seem to remember that exponential growth generally begins and ends with a curve. A couple of years ago, a bunch of crypto people made both of these mistakes and made very compelling charts that ‘proved’ hundreds of billions of people would be using Bitcoin by 2025. 

Most of all, of course, in a bubble, people say ‘this time is different’. The trouble is, it always is different. The Dotcom bubble was different too.

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