Pretty much. Given the levels of investment in capital and research if AI companies actually hit what they're aiming at they'd have to collapse the labor market to recoup, bricking the economy in the process. Given the levels of outside investment inflating valuations, if the bubble pops it's 2008 all over again. There's this incredibly narrow window of "just useful enough to extract rents" where everything doesn't go to shit.
Yes now that everyone’s equity is tied to overvalued assets, it’s a problem because it can have economy wide effects like in the subprime mortgage crisis.
Wishful thinking has it that we rally our representatives to let OpenAI and consorts rot. The last thing people should do is bail these delusional people out. Let them have it worse then WeWorks and let’s see if their self crowned AGI can help them out of their misery
Well there's also the fact that fundamentally and ultimately, AI is incompatible with the economic system. Capitalism is rooted in human labour having positive economic value, and hence demand. AI will ultimately automate all labour, making the economic value 0. Eventually capital generation will simply die and the system crashes.
I'm not usually for arguments of "this money could have been better spent elsewhere", but here's a thought experiment. Lets say instead of injecting $2 trillion and counting into a few AI companies, we instead injected $2 trillion dollars into things like infrastructure (real infrastructure, not GPU warehouses), education, helping out communities ravaged by globalization (I doubt most people on Hacker News venture outside of coastal areas, but if you want to make a REAL difference as an entrepreneur why not look at parts of the country that are struggling and figure out how you could make a difference there? You know, instead of trying to just ruin the economy for the sake of the already-obscenely-wealthy). I'm not saying all those ventures would succeed, but I think that amount of money put towards boring-but-real problems would make a much bigger positive impact for everyone.
We are 81 years away from the end of World War II. The baby boomers born after are the ripest target of financial sharks aiming to get a chunk of their retirements. People will be liquidating to settle estates, to pay inheritance taxes in large numbers. The AI boom feels like a stealthy rug-pull from other assets that are likely to tank from retirement withdrawals and into something that may last a little past the boomer assets wave.
Well assuming it's successful, there will be a large number of companies who's value will be reassessed as the token cost to replicate and run the business.
Multi-million dollar companies will be reduced into multi thousand dollar companies.
The CEOs will be replaced with teenagers in garages with their parent's credit cards.
If it stalls, then China will undercut the whole AI market with cheap electricity and crash the US stock market.
The AI companies will be bailed out by the government, resulting in inflation and lost purchasing power for regular people while investors keep all their gains. Classic wealth transfer.
no matter what, success or not the bubble is going to bust, it has inflated so much, the risk of it deflating slowly is a pipe dream. if AI doesn't turn into AGI, global financial crash. if AI turns into AGI and tons of people are out of work, global financial crash too.
"The five largest hyperscalers are set to spend over a trillion US dollars on AI-related capital expenditure from 2025 through 2026. These commitments are outpacing earnings and the free cash flow of these firms, leading some to issue debt to raise additional financing (Graph 11.A). This investment race may be partly driven by the perception that only a small number of players with superior technology will ultimately dominate the market shares. The
intense competition raises the risk of firms over-committing resources to investment projects with still uncertain returns, leaving all firms vulnerable to disappointments in AI payoffs. Model analysis based on such contest motives highlights the downside risk of current AI exuberance. As competitive pressure drives capex higher, the net economic surplus – the total payoff less investment costs – declines for the sector as a whole and could turn negative in adverse scenarios (Graph 11.B). Disappointment in returns could trigger a sudden pullback in financing and turn the capex boom into a protracted investment bust, with potential knock-on effects on financial conditions (see below).
Another risk is that the AI boom runs into a supply side roadblock. The AI build- out has recently been facing growing bottlenecks in electricity, advanced semiconductors and grid equipment. Fast-growing demand for computing power is already pressuring electricity prices and input costs, with potential spillovers to inflation. Looking ahead, these temporary shortages may also amplify over-investment, as firms attempt to lock in future capacity through long-dated contracts that further expose them to any disappointments in demand.
...
Should inflation rise significantly or AI-led investment turn to a bust, the macroeconomic consequences could be amplified by existing financial vulnerabilities. A tightening of policy rates needed to contain inflation could precipitate a sharp pullback in asset prices after a prolonged period of exuberant risk-taking, triggering
disruptive macro-financial feedback loops. A reversal of AI optimism could likewise have major financial consequences, given AI firms’ rising leverage and growing footprint in credit markets. Vulnerabilities extend to their supplier ecosystem, including engineering, procurement and construction (EPC) contractors whose balance sheets are comparatively weak, leaving them exposed to any capex pullback by hyperscalers.
...
A sharp repricing of equity risk could prompt a reassessment of corporate credit risk and lead to tighter credit conditions more broadly.1 Indeed, broad indices of credit spreads tend to correlate negatively with stock market returns (Graph 14.A), more so for the high-yield than the investment grade segment. While large, synchronised corrections in both markets are rare, there are notable precedents such as the Great Financial Crisis and the March 2020 dash for cash episode. A repricing of risk this time, whether triggered by higher interest rates or an AI bust, has the potential to be similarly disruptive by triggering a corporate credit freeze with wider implications for aggregate investment."
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[ 2.7 ms ] story [ 41.1 ms ] threadI’m not worried about it…
Multi-million dollar companies will be reduced into multi thousand dollar companies.
The CEOs will be replaced with teenagers in garages with their parent's credit cards.
If it stalls, then China will undercut the whole AI market with cheap electricity and crash the US stock market.
So what exactly is the win scenario here?
"The five largest hyperscalers are set to spend over a trillion US dollars on AI-related capital expenditure from 2025 through 2026. These commitments are outpacing earnings and the free cash flow of these firms, leading some to issue debt to raise additional financing (Graph 11.A). This investment race may be partly driven by the perception that only a small number of players with superior technology will ultimately dominate the market shares. The intense competition raises the risk of firms over-committing resources to investment projects with still uncertain returns, leaving all firms vulnerable to disappointments in AI payoffs. Model analysis based on such contest motives highlights the downside risk of current AI exuberance. As competitive pressure drives capex higher, the net economic surplus – the total payoff less investment costs – declines for the sector as a whole and could turn negative in adverse scenarios (Graph 11.B). Disappointment in returns could trigger a sudden pullback in financing and turn the capex boom into a protracted investment bust, with potential knock-on effects on financial conditions (see below).
Another risk is that the AI boom runs into a supply side roadblock. The AI build- out has recently been facing growing bottlenecks in electricity, advanced semiconductors and grid equipment. Fast-growing demand for computing power is already pressuring electricity prices and input costs, with potential spillovers to inflation. Looking ahead, these temporary shortages may also amplify over-investment, as firms attempt to lock in future capacity through long-dated contracts that further expose them to any disappointments in demand.
...
Should inflation rise significantly or AI-led investment turn to a bust, the macroeconomic consequences could be amplified by existing financial vulnerabilities. A tightening of policy rates needed to contain inflation could precipitate a sharp pullback in asset prices after a prolonged period of exuberant risk-taking, triggering disruptive macro-financial feedback loops. A reversal of AI optimism could likewise have major financial consequences, given AI firms’ rising leverage and growing footprint in credit markets. Vulnerabilities extend to their supplier ecosystem, including engineering, procurement and construction (EPC) contractors whose balance sheets are comparatively weak, leaving them exposed to any capex pullback by hyperscalers.
...
A sharp repricing of equity risk could prompt a reassessment of corporate credit risk and lead to tighter credit conditions more broadly.1 Indeed, broad indices of credit spreads tend to correlate negatively with stock market returns (Graph 14.A), more so for the high-yield than the investment grade segment. While large, synchronised corrections in both markets are rare, there are notable precedents such as the Great Financial Crisis and the March 2020 dash for cash episode. A repricing of risk this time, whether triggered by higher interest rates or an AI bust, has the potential to be similarly disruptive by triggering a corporate credit freeze with wider implications for aggregate investment."