The U.S. is spending nearly $600 billion on AI by 2026 That’s about 2% of GDP, but the net boost to GDP is only 0.1-0.3 percentage points. Analysts broke it down into three reasons: 1. Most of the spending is on imported hardware, which doesn’t count toward GDP. 2. The software savings for companies are considered intermediate services, not included in GDP. 3. Crowding-out effects like replacing other investments, competing for construction resources, and driving up interest rates only add up to $50 billion—not as big as expected. 89% of surveyed companies said AI costs only account for 1-5% of their IT budgets, and one-third of that comes from new budgets. The deeper reason: The GDP calculation system was created in the industrial era—imported hardware is counted as costs, and intermediate services are considered consumption. The real productivity gains from AI aren’t reflected in these metrics. What’s next? Most AI spending now goes toward buying GPUs, building data centers, etc., which are counted as expenses in GDP. In the future, as more money is spent on software, applications, and helping businesses save and make money, GDP will better reflect the true impact. In short: Phase 1: Buy hardware (GPUs, PCBs, optical modules). Phase 2: Buy ASICs and servers. Phase 3: Buy software and applications. Phase 4: Buy robots and automation. We’re nearing the end of Phase 1, and the turning points for Phases 2 and 3 are approaching. #AI #binancecoin:native