Ackman bullish on hyperscalers after June selloff
Bill Ackman turned bullish on AI hyperscalers after a June selloff wiped out $2.3 trillion in market value from the Magnificent Seven. The decline was fueled by fears over $700 billion in projected AI capex for 2026, which is consuming nearly all operating cash flow. Ackman backs a thesis that cloud providers will profit from rising token usage and high operating margins.

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Billionaire investor Bill Ackman has declared a bullish stance on AI hyperscalers following a significant market selloff in June, driven by concerns over capital expenditure. Ackman amplified an analysis by Rihard Jarc of the UncoverAlpha newsletter, describing it as an important read on the sector. The endorsement comes as major technology stocks experienced their worst monthly performance in decades, with Microsoft Corp. falling 17.2% and Oracle Corp. plunging 35% in June. Other prominent hyperscalers, including Amazon.com Inc., Meta Platforms Inc. and Alphabet Inc., declined 11.9%, 10.6% and 6.1% respectively.
Market Capex Concerns
The primary trigger for the selloff was the projected capital expenditure of the five largest hyperscalers, which is expected to exceed $700 billion in 2026 for AI infrastructure. Investors have shifted focus from revenue to spending, leading to a sell-off. Bank of America noted that hyperscaler capex has risen from approximately 70% of operating cash flow in 2025 to nearly 100% in 2026. This shift leaves little room for share buybacks and dividends, with forward free cash flow as a share of net income dropping from over 100% to near zero. Consequently, the Magnificent Seven lost roughly $2.3 trillion in market value in June.
| Company | Performance in June |
|---|---|
| Microsoft Corp. | -17.2% |
| Oracle Corp. | -35% |
| Amazon.com Inc. | -11.9% |
| Meta Platforms Inc. | -10.6% |
| Alphabet Inc. | -6.1% |
Bullish Thesis on Cloud Margins
Ackman's bullish outlook is based on the argument that hyperscalers act as tollbooths, collecting fees on every token processed regardless of the model used. The thesis suggests that enterprises are shifting from "token maxing" to routing requests to cheaper, open-weight models for routine tasks. This change increases overall usage volume, benefiting cloud platforms like Amazon's Bedrock, Microsoft's Azure AI Foundry and Google's Vertex. Historical operating margins for AWS range between 35–38%, while Google Cloud achieved a 33% margin in the first quarter of 2026. Ackman initiated a new position in Microsoft after its post-earnings drop in February, comparing the current market sentiment to the undervaluation of Berkshire Hathaway in 2000.
Will the projected $700 billion capex in 2026 be sufficient to meet enterprise demand, or are risks of oversupply looming?
How might the reduction in free cash flow impact the ability of hyperscalers to sustain shareholder returns through buybacks and dividends?
Could the shift toward cheaper, open-weight models compress the revenue-per-token for hyperscalers despite higher usage volumes?

































