Friday, September 25, 2026
Source trace. Via News points to the documents behind its reporting and shows what we drew from each — so you can check any claim. How we source
Source document· December 14, 2025

Wall Street Sees an AI Bubble Forming and Is Gaming What Pops It

View original at finance.yahoo.com
Wall Street Sees an AI Bubble Forming and Is Gaming What Pops It Photographer: Chesnot/Getty Images (Bloomberg) -- It’s been three years since OpenAI set off euphoria over artificial intelligence with the release of ChatGPT…
Opening lines of the source · short snapshot — read the full document at the original

What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

  • If you think about how much money — it's in the trillions now — is crowded into a small group of themes and names, when there's the first hint of that theme even having short-term issues or just valuations get so stretched they can't possibly continue to grow like that, they're all leaving at once

    80% confidence
  • OpenAI expects to burn $115 billion through 2029 before generating cash in 2030

    80% confidence
  • Oracle remained confident in its ability to meet its obligations and future expansion plans

    80% confidence
  • These aren't dot-com multiples. This isn't to say there aren't pockets of speculation or irrational exuberance, because there are, but I don't think that exuberance is in the AI-related names of the Mag 7.

    80% confidence
  • The credit people are smarter than the equity people, or at least they're worried about the right thing — getting their money back

    80% confidence
  • OpenAI plans to spend $1.4 trillion in the coming years

    80% confidence
  • This kind of group thinking is going to crack. It probably won't crash like it did in 2000. But we'll see a rotation.

    80% confidence
  • We're in the phase of the cycle where the rubber meets the road. It's been a good story, but we're sort of anteing up at this point to see whether the returns on investment are going to be good.

    80% confidence
  • Any plateauing of growth projections or decelerations, we're going to wind up in a situation where the market says, 'Ok, there's an issue here'

    80% confidence
  • If we continue down the track of lever up our company to build out for the hopes that we can monetize this, multiples are going to contract. If things don't come together for you, this whole pivot would have been a drastic mistake.

    80% confidence
  • These stocks don't correct because the growth rate goes down. These stocks correct when the growth rate doesn't accelerate any further.

    80% confidence
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Enterprise AI Agents Go Mainstream, But Trustworthy Data Access Lags Adoption
A wave of enterprise AI agent activity — fresh funding (Latitude's $35M Series A), a run of CB Insights CEO interviews spotlighting fintech- and healthcare-focused agent startups (Covecta, Penguin AI, Maisa AI), and major platform partnerships (Microsoft-Mistral, Manulife-Microsoft AI governance, Siemens-NVIDIA agentic EDA, Box's agent security controls) — signals agentic AI moving from pilot to production across financial and enterprise workflows. Yet Google Cloud's own research shows adoption is outrunning data readiness (companies average AI access to only 45% of their data, with 'data laggards' capped near 30%), while insider selling at incumbent C3.ai hints at mixed investor conviction even as the broader ecosystem accelerates.
Our read on the data ›
Signals we're tracking
Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
Patterns we're watching ›
Where sources disagree
ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
We flag conflicts openly ›
Recently verified
✓ Checked against the original source
4,983
facts traced to their source — and we flag the ones that don't hold up.
101 entities tracked4,983 facts checked against source5,305 source documents archived
Query this data → isubstrate.com
Wall Street Sees an AI Bubble Forming and Is Gaming What Pops It — Source | Via News | Via News