AI Earnings Keep Carrying the Market, While CFOs Race to Catch Up
October 10, 2026
Wall Street's bubble anxiety eases even as valuations stretch, a CFO survey shows AI adoption in finance nearly doubling in a year, and Anthropic's valuation run puts it on pace to pass OpenAI.
Markets
Wall Street's AI bubble gauge improves, not worsens. Standard Chartered's wealth management desk updated its AI bubble risk reading in early October and moved it from the "better" zone into the "good" risk reward zone, even after raising both its valuation risk and funding risk scores by half a point each. The bank's overall score fell from 2.5 to 1.5, and it is projecting US earnings growth of 25 to 30 percent for 2026 and 15 to 20 percent for 2027, arguing that real profit growth, not pure multiple expansion, is still doing most of the work. It flagged one real risk though: gains are concentrating in fewer sectors and fewer stocks each month.
The bull case: this is growth, not speculation. UBS and Goldman Sachs strategists have both pushed back on bubble talk this year, arguing that the biggest AI linked stocks have risen mostly because their earnings actually grew, not because investors bid up unprofitable bets. That is the core disagreement in every version of this debate right now: is the rally backed by cash flow, or by story.
The bear case: valuations and payback are the problem. Skeptics point to the US market's Shiller cyclically adjusted price to earnings ratio climbing above 40 for the first time since the dot com crash, plus an MIT study finding that roughly 95 percent of businesses that have invested in generative AI have not yet turned a profit from it. Neither fact proves a crash is coming, but together they explain why "bubble" keeps showing up in every market note.
AI in finance
Finance teams are embedding AI twice as fast as last year. Consero's 2026 CFO survey of 102 finance leaders at investor backed companies found that 42 percent now have AI broadly or fully embedded in their finance function, up from 22 percent in 2025. Despite the automation, 87 percent of those same finance leaders said they are hiring more finance staff, not fewer, suggesting AI is changing the job mix in finance departments faster than it is shrinking headcount.
Where it shows up. Across industry coverage this year, the clearest finance use cases remain fraud detection, credit scoring, algorithmic trading, and compliance monitoring, the same short list that has anchored AI in finance for several years now, just with more of the workflow actually running on it.
Frontier labs
Anthropic's valuation run. Anthropic closed a Series H earlier this year at roughly 965 billion dollars post money, built on a round of more than 30 billion dollars, and Bloomberg has reported the company is weighing an IPO that could come as early as this month. That pace has it tracking ahead of OpenAI, which was valued near 500 billion dollars as of this fall after its own 122 billion dollar raise in the spring.
OpenAI's next move. CEO Sam Altman has said OpenAI is not planning an IPO in 2026, but has floated a future funding round that could value the company near 1.2 trillion dollars. Nothing is confirmed yet, and figures like these move quickly, so treat any single valuation number as a snapshot rather than a settled fact.