Our bet on whether the AI market will crash
post by Remmelt (remmelt-ellen), mabramov · 2025-05-08T09:56:15.703Z · LW · GW · 2 commentsContents
Why are we doing this bet? None 2 comments
We made a bet on the AI market crashing by the end of 2026.
The odds are $5k:$25k with an implied probability of 16.67%. If there is no crash, Remmelt pays Marcus $5,000. If there is a crash, Marcus pays Remmelt $25,000.
An AI market crash will be defined, for the purposes of this bet, as at least 2 out of 3 of the following criteria being met.
Here are our criteria:
- OpenAI's 2025 or 2026 annual revenue is below $1.6 billion.
- Anthropic's 2025 or 2026 annual revenue is below $400 million.
- Nvidia’s data center revenue in any quarter from now to Q4 2026 is below $8.5 billion.[1]
It’s hard to come up with criteria for what constitutes an AI market crash, as many operationalizations face confounding factors that don’t constitute a crash. These criteria were chosen since these are three of the most prominent AI-related companies and have public and verifiable revenue reporting.
Remmelt thinks that there is roughly a quarter chance of winning the bet.
Marcus thinks there is a ~4% chance of Remmelt winning the bet, mostly losing due to idiosyncrasies like one of these companies collapsing due to fraud or internal turmoil.
Why are we doing this bet?
We both think that AI developments will be more gradual than “AGI 2027” purports.
So what’s the difference in our views?
Marcus thinks there won’t be a large crash because AI products have found product market fit, will continue to improve gradually over the next couple of years, and users will continue to pay for AI products. He holds a wide probability space for how the next couple of years will play out, with a small possibility of large changes or a winter, but the bulk of the probability mass is on “staying the course” with gradual improvements and new releases over the next 1.5 years.
Remmelt thinks there will likely be a crash by 2029 [LW(p) · GW(p)], since AI companies are burning too much cash on data centers to run products undergoing commodification. He thinks it’s most plausible though that the crash happens on the investment side, and that model subscription revenues could end up being mostly maintained.
Remmelt is treating this bet as a hedge – if the market crashes, he intends to give winnings to an exceptional movement builder to organise communities to resist weakened AI companies.
Marcus is approaching this bet as an experienced market trader and forecaster, looking to profit and likely donate winnings.
- ^
This covers Nvidia revenue items currently under the ‘Data Center’ category, even if renamed or moved to another category.
2 comments
Comments sorted by top scores.
comment by palcu · 2025-05-10T12:29:25.147Z · LW(p) · GW(p)
I've opened a market on this bet.
https://manifold.markets/palcu/ai-market-crash-by-2026?r=cGFsY3U
Replies from: remmelt-ellen↑ comment by Remmelt (remmelt-ellen) · 2025-05-19T01:32:46.600Z · LW(p) · GW(p)
Nice! Cool to see that turned into a prediction market.
~
BTW, I adjusted my guesstimate of winning down to a quarter.
I now guess it's more like 1/8 chance (meaning that from my perspective Marcus will win this bet on expectation). It is pretty hard to imagine so many paying customers going away, particularly as revenues have been growing in the last year.
Marcus has thought this one through carefully, and I'm naturally sticking to the commitment. If we end up seeing a crash down the line, I invite all of you to consider with me how to make maximum use of that opportunity.
I still think a crash is fairly likely, but also that if there is a large slump in investment across the industry that most customers could end up continuing to pay for subscriptions.
The main problem I see is that OpenAI and Anthropic are losing money on products they are selling, which are facing commodification (i.e. downward pressure on prices). But unless investments run dry soon, they can continue for some years and eventually find ways to lock in customers (e.g. through personalisation) and monetisation (e.g. personalised ads).