OpenAI

Controlling 60% of global compute gives Amazon, Google, and Microsoft a structural tool to throttle Anthropic and OpenAI's growth — buying time for their own models to catch up, mirroring how Friendster's capacity constraints let Facebook overtake it.

Search revenue hit $63B in Q4 and is still growing double-digits despite ChatGPT/Perplexity competition; Gemini-driven AI features are increasing engagement and opening higher-value ad inventory rather than cannibalizing queries.

Gemini-driven AI features are increasing engagement and opening higher-value ad inventory rather than cannibalizing traditional search, with Google search volume remaining at historic highs despite ChatGPT and Perplexity.

Microsoft has not missed earnings or guided down despite Copilot ROI skepticism, and owns roughly a third of OpenAI as embedded upside — the multiple contraction is sentiment-driven.

Apple collects a 30% first-year / 15% ongoing revenue cut on ChatGPT and Claude usage within iOS, while its hardware-centric model qualifies as 'Halo' with negative CapEx change year-over-year.

A BitTensor subnet project reached 80% of Claude 4's coding capability in 45 days for ~$1M in TAO rewards, demonstrating that decentralized crypto-incentivized training could undercut frontier labs that need tens of billions in capital.

Intuit has lost roughly half its value in 2026 as the market prices in a future where AI tools like ChatGPT could replace paid tax preparation software, making Intuit a leading indicator of broader software disruption fears.

By providing cloud infrastructure and TPU chips to competitors like Anthropic while owning 14% of the company, Alphabet wins regardless of which AI model dominates — a multi-way bet on the entire AI ecosystem.

With a 14% stake in Anthropic, TPU chip supply deals, and a strategy of hosting rival AI models as their "landlord," Alphabet profits from multiple outcomes — though AI growth may partly backfill search revenue losses rather than drive pure incremental gains.

OpenAI board members and industry analysts warn the massive AI spending is sustained by partners borrowing from each other, creating circularity where someone will eventually have to pay the piper.

Farrow's 18-month New Yorker investigation finds economists warning that U.S. growth is now propped up by AI, while markets are "highly dependent on a few companies" that insiders describe as dangerously overleveraged.

An 18-month New Yorker investigation reveals insiders warning the AI infrastructure buildout is sustained by partners borrowing from each other, with a board member saying OpenAI is "levered up in a way that is scary."

An 18-month New Yorker investigation found OpenAI insiders and board members warning that the AI buildout is sustained by partners borrowing from each other, with one board member calling the leverage 'scary' and analysts warning 'someone's going to have to pay the piper.'

At 125x trailing revenue with only 20% growth, SpaceX's IPO valuation dwarfs Google's at-IPO pricing by over 10x while growing revenue 10x slower. The 30% retail allocation exists because institutions won't pay this price.

AI built by these three mega-IPOs will cannibalize existing software moats, causing tech multiples to converge down toward non-tech PEs — a painful repricing for incumbent software businesses.

The market cannot absorb trillions of dollars of new supply; SpaceX will fare best as the first IPO, and each subsequent offering faces diminishing demand as selling pressure from long-held private shares overwhelms buy-side capital.

Zero switching costs, open-source competition from teams like DeepSeek, and the public availability of 95% of AI research mean that no single model company can maintain market leadership — a structural problem for trillion-dollar valuations.

OpenAI is losing ~$70 million/day scaling to $156 million/day next year, while its $730B pre-money valuation requires capturing enormous value that history suggests infrastructure providers don't capture from application layers.

Gulf states that have been major AI investors face a fiduciary choice between funding inflated AI valuations and spending on defense, energy security, and rebuilding infrastructure — potentially pulling the rug on AI capital flows.

Apple avoided the $600B/year AI CapEx bonfire, sits on massive cash reserves, and benefits from the inevitable shift of AI compute to on-device edge processing for privacy and latency — making it the ideal second or third owner of distressed AI assets.