The Global Overview
AI’s Off-Balance-Sheet Building Boom
The artificial intelligence boom is being financed through increasingly creative, and opaque, methods. Tech giants are shifting the colossal costs of data centers—the physical backbone of AI—off their primary financial statements. An estimated $120bn in AI data center debt has been moved through structures like sale-leasebacks and special purpose vehicles (FT). This insulates Big Tech’s balance sheets from the massive capital expenditure required, transferring risk to investors and specialized data center firms. Our take: This financial engineering mirrors pre-2008 strategies, privatizing the gains of the AI surge while socializing potential risks should the projected returns not materialize.
Autonomous Systems Learn the Hard Way
Alphabet’s Waymo unit is rolling out a fleet-wide software update after its autonomous vehicles stalled during a San Francisco power outage, causing significant traffic gridlock (WSJ). The incident on December 20th saw Waymo cars, programmed to treat dark intersections as four-way stops, freeze when a surge in such situations overwhelmed their remote confirmation system. The update aims to give the AI more context during regional blackouts to navigate more “decisively.” This underscores a core libertarian principle: innovation is an iterative process of trial and error, and real-world failures are often the most effective drivers of progress, not top-down regulation.
The Data Integrity Question
Underpinning the tech revolution is a crisis of confidence in scientific research itself. There is growing concern that a substantial portion of published findings may be false, undermined by publication bias and pressure to produce statistically significant results (Marginal Revolution). Rather than trusting individual studies, which can be flawed or fraudulent, a more reliable approach is to trust broad “literatures”—the collective, decentralized work of many researchers over time. For innovation to flourish, it must be built on a foundation of verifiable and replicable data, a distributed validation process that markets are uniquely good at fostering.
Stay tuned for the next Gist—your edge in a shifting world.
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