AI Boom or Bust? – #122

The AI industry currently faces a critical "10X hurdle," where revenue must scale into the trillions by 2027-2028 to justify the massive capital expenditure poured into data centers and GPU infrastructure. While AI model capabilities continue to advance rapidly, financial data from platforms like RAMP indicates a plateau in token consumption, signaling a potential mismatch between speculative investment and actual economic productivity. Physical constraints, including limited electricity grid capacity and data center permitting, further threaten the viability of this build-out. Investors face significant risks, as the current valuation of frontier labs like OpenAI and Anthropic relies on sustained, high-margin revenue growth that may be undermined by rising open-source competition. If these revenue targets remain unmet, the current AI boom risks collapsing into a speculative bubble, potentially triggering broader economic instability similar to the 2000 dot-com crash.