1. The trillion-dollar AI infrastructure arms race |
| 2. Boston Dynamics, Toyota harness large behavior models to power humanoids |
| 3. OpenAI is developing an AI jobs platform |
AI INFRASTRUCTUREThe trillion-dollar AI infrastructure arms race![]() The numbers from Thursday’s White House tech dinner were so large they bordered on absurd. When President Trump went around the table asking each CEO how much they planned to invest in America, Mark Zuckerberg committed to “something like at least $600 billion” through 2028. Apple’s Tim Cook matched that figure. Google’s Sundar Pichai said $250 billion. Combined with OpenAI’s revised projection this week that it will burn through $115 billion by 2029 — $80 billion more than previously expected — these announcements reveal an industry in the midst of the most expensive infrastructure buildout in modern history. The scale has reshaped the entire American economy. AI data center spending now approaches 2% of total U.S. GDP, and Renaissance Macro Research found that so far in 2025, AI capital expenditure has contributed more to GDP growth than all U.S. consumer spending combined — the first time this has ever occurred. What’s driving this isn’t just ambition but desperation to control costs: OpenAI has become one of the world’s largest cloud renters, with computing expenses projected to exceed $150 billion from 2025-2030. The company’s cash burn projections quadrupled for 2028, jumping from $11 billion to $45 billion, largely due to costly “false starts and do-overs” in AI training. Meta’s 2025 capital expenditures represent a 68% increase from 2024 levels as it races to build its own infrastructure. McKinsey estimates the global AI infrastructure buildout could cost $5.2 to $7.9 trillion through 2030. The 33 attendees included the biggest names in tech: Microsoft founder Bill Gates, Google CEO Sundar Pichai, OpenAI’s Sam Altman and Greg Brockman, Oracle’s Safra Catz, and Scale AI founder Alexandr Wang. Notably absent was Elon Musk, who claimed on social media he was invited but couldn’t attend amid his ongoing feud with Trump.The moment was captured on a hot mic when Zuckerberg later told Trump, “I wasn’t sure what number you wanted,” though whether this reflected genuine uncertainty or strategic positioning remains unclear. Zuckerberg’s hot mic moment about not knowing “what number you wanted” suggests that these commitments aren’t emerging from detailed financial models, but rather from competitive dynamics and political positioning. The scale of spending has reached a point where traditional ROI calculations seem almost irrelevant. OpenAI’s projections jumping from $11 billion to $45 billion for 2028 alone show how unpredictable this technology remains, even for the companies building it. The acknowledgment of “false starts and do-overs” in AI training reveals an industry still figuring out the fundamentals.What’s most striking is how this infrastructure race has become an economic force unto itself. When AI capital expenditure drives more GDP growth than consumer spending, we’re seeing the emergence of an economy increasingly powered by speculative technology investment rather than traditional economic activity. Whether this produces the transformative returns these companies are betting on remains the trillion-dollar question. |
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Zuckerberg’s hot mic moment about not knowing “what number you wanted” suggests that these commitments aren’t emerging from detailed financial models, but rather from competitive dynamics and political positioning. The scale of spending has reached a point where traditional ROI calculations seem almost irrelevant. OpenAI’s projections jumping from $11 billion to $45 billion for 2028 alone show how unpredictable this technology remains, even for the companies building it. The acknowledgment of “false starts and do-overs” in AI training reveals an industry still figuring out the fundamentals.What’s most striking is how this infrastructure race has become an economic force unto itself. When AI capital expenditure drives more GDP growth than consumer spending, we’re seeing the emergence of an economy increasingly powered by speculative technology investment rather than traditional economic activity. Whether this produces the transformative returns these companies are betting on remains the trillion-dollar question.