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When will the AI penny drop?
I returned from lunch to find that a gray morning had given way to a beautiful spring afternoon in the City, the sun shining on courtyard flowers and through the pints of the insurance men standing outside the pub, who still start drinking at midday. I walked into the office, past the receptionists and security staff, then went up to our floor, passed the back office, the HR team who sit near us, our friendly sysadmin, my analysts, associate, my own boss. I sent some emails to a client, to our lawyers, to theirs, called our small graphics team who design graphics for pitchbooks and prospectuses for roadshows in Adobe whatever. I spoke to our team secretary about some flights and a hotel meeting room in a few weeks. I reviewed a bad model and fired off some pls fixes. I called our health insurance provider and spoke to a surprisingly nice woman about some extra information they need for a claim.
And I thought to myself can it really be that all this is about to end, not in the steady process envisioned by a prescient few a decade ago but in an all-encompassing crescendo that will soon overwhelm us all? I walk around now like a tourist in the world I have lived in my whole life, appreciating every strange interaction with another worker, the hum of commerce, the flow of labor. Even the commute has taken on a strange new meaning to me, because I know it might be over so soon.
All of these jobs, including my own, can be automated with current generation AI agents and some relatively minor additional work (much of which can itself be done by AI). Next generation agents (already in testing at leading labs) will be able to take screen and keystroke recordings (plus audio from calls if applicable) of, say, 20 people performing a niche white collar role over a few weeks and learn pretty much immediately know how to do it as well or better. This job destruction is only part of the puzzle, though, because as these roles go so do tens of millions of other middlemen, from recruiters and consultants and HR and accountants to millions employed at SaaS providers that build tools - like Salesforce, Trello, even Microsoft with Office - that will soon be largely or entirely redundant because whole workflows will be replaced by AI. The friction facilitators of technical modernity, from CRMs to emails to dashboards to spreadsheets to cloud document storage will be mostly valueless. Adobe alone, which those coworkers use to photoshop cute little cover images for M&A pitchbooks, is worth $173bn and yet has been surely rendered worthless, in the last couple of weeks alone, by new multimodal LLMs that allow for precise image generation and editing by prompt1. With them will come an almighty economic crash that will affect every business from residential property managing to plumbing, automobiles to restaurants. Like the old cartoon trope, it feels like we have run off a cliff but have yet to speak gravity into existence.
It was announced yesterday that employment in the securities industry on Wall Street hit a 30-year high (I suspect that that is ‘since records began’, but if not I suppose it coincides with the final end of open outcry trading). I wonder what that figure will be just a few years from now. This was a great bonus season (albeit mostly in trading), perhaps the last great one. My coworker spent the evening speaking to students at his old high school about careers in finance; students are being prepared for jobs that will not exist, a world that will not exist, by the time they graduate.
Walking through the city I feel a strange sense of foreboding, of a liminal time. Perhaps it is self-induced; I have spent much of the past six months obsessed by 1911 to 1914, the final years of the long 19th century, by Mann and Zweig and Proust. The German writer Florian Illies wrote a work of pop-history about 1913 called “the year before the storm”. Most of it has nothing to do with the coming war or the arms race; it is a portrait (in many ways) of peace and mundanity, of quiet progress, of sports tournaments and scientific advancement and banal artistic introspection, of what felt like a rational and evolutionary march toward modernity tempered by a faint dread, the kind you feel when you see flowers on their last good day. You know what will happen and yet are no less able to stop it than those who are comfortably oblivious.
In recent months I have spoken to almost all smartest people I know about the coming crisis. Most are still largely oblivious; “new jobs will be created”, “this will just make humans more productive”, “people said the same thing about the internet in the 90s”, and - of course - “it’s not real creativity”. A few - some quants, the smarter portfolio managers, a couple of VCs who realize that every pitch is from a company that wants to automate one business while relying for revenue on every other industry that will supposedly have just the same need for people and therefore middlemen SaaS contracts as it does today - realize what is coming, can talk about little else.
Many who never before expressed any fear or doubts about the future of capitalism have begun what can only be described as prepping, buying land in remote corners of Europe and North America where they have family connections (or sometimes none at all), buying crypto as a hedge rather than an investment, investigating residency in Switzerland and researching countries likely to best quickly adapt to an automated age in which service industry exports are liable to collapse (wealthy, domestic manufacturing, energy resources or nuclear power, reasonably low population density, produce most food domestically, some natural resources, political system capable of quick adaptation). America is blessed with many of these but its size, political divisions and regional, ethnic and cultural tensions, plus an ingrained highly individualistic culture mean it will struggle, at least for a time. A gay Japanese friend who previously swore he would never return to his homeland on account of the homophobia he had experienced there has started pouring huge money into his family’s ancestral village and directly told me he was expecting some kind of large scale economic and social collapse as a result of AI to force him to return home soon.
Unfortunately Britain, where manufacturing has been largely outsourced, most food and much fuel has to be imported and which is heavily reliant on exactly the professional services that will be automated first seems likely to have to go through one of the harshest transitions. A Scottish portfolio manager, probably in his 40s told me of the compound he is building on one of the remote islands off Scotland’s west coast. He grew up in Edinburgh, but was considering contributing a large amount of money towards some church repairs and the renovation of a beloved local store or pub of some kind to endear himself to the community in case he needed it. I presume that in big tech money, where I know far fewer people than others here, similar preparations are being made. I have made a few smaller preparations of my own, although what started as ‘just in case’ now occupies an ever greater place in my imagination.
For almost ten years we have discussed politics and society on this forum. Now events, at last, seem about to overwhelm us. It is unclear whether AGI will entrench, reshape or collapse existing power structures, will freeze or accelerate the culture war. Much depends on who exactly is in power when things happen, and on whether tools that create chaos (like those causing mass unemployment) arrive much before those that create order (mass autonomous police drone fleets, ubiquitous VR dopamine at negligible cost). It is also a twist of fate that so many involved in AI research were themselves loosely involved in the Silicon Valley circles that spawned the rationalist movement, and eventually through that, and Scott, this place. For a long time there was truth in the old internet adage that “nothing ever happens”. I think it will be hard to say the same five years from now.
1 Some part of me wants to resign and short the big SaaS firms that are going to crash first, but I’ve always been a bad gambler (and am lucky enough, mostly, to know it).
I dunno AI still seems incapable of doing very basic things I ask it to. We don’t even have self driving cars yet! This seems like something that’s always “just a few years away” as a trick to get investors excited
Surveys of actual companies show that basically no one is using AI at companies at all. Users here like to argue this point but many of you are programmers - the exact demographic to be able to use and exploit these LLMs.
We absolutely, 100% have self driving cars that are accessible to consumers.
https://youtube.com/watch?v=Go6Syv8xNMA?si=esnCdfNdiVCH1OCv
https://youtube.com/watch?v=92aBMTpeQB8?si=sj4QHy8uDLDLLitW
Just not everywhere just yet. Maybe you can even say the technology isn't "mature," but it is absolutely here.
Self driving = ability to do 100% of what a competent human driver can do in any location, without geofencing.
The geofencing is something I have some ambiguity on. Is it primarily legal/regulatory, or is it because Waymo requires extensive pre-data to function? I.e. if you dropped a Waymo on a Montana back road, would it be able to drive and navigate as well as a human driver in the same situation?
It seems like a bit of an unfair standard to hold it against Waymo capabilities if the issue is primarily legal/regulatory.
Sure, if they already have that capability and it’s only regulations holding them up then it is real self driving.
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