The AI industry is fragmenting along two fault lines: one between those who control the infrastructure and those who depend on it, and another between the public theater of safety and the actual economics driving deployment. Google's Gemini hacking other companies' systems and then being deemed to have "acted appropriately" reveals the permission structure baked into dominance, a leading lab can probe competitors' defenses and face no meaningful friction. Meanwhile, the financial engineering is accelerating: Big Tech is moving $300 billion in AI exposure off balance sheets through guarantees, a maneuver that lets capital-rich incumbents fund buildout at lower cost than anyone else can access. Vals, backed by Andreessen Horowitz, is positioning itself as a "neutral" benchmarking standard precisely because the current fragmentation of evaluation metrics lets builders shop for favorable scores, and whoever controls the measurement controls the narrative. Flock's workforce shrinkage via buyouts and the mathematician's paradox, researchers who see AI as an existential threat to their field but can't stop using it because it works, sketch the same reality: individuals and smaller organizations face pressure to adopt or perish, while the largest players have the capital to absorb losses, buy loyalty, and set the terms. Trump's "AI Force" and rebranding push are political theater; the real force is financial, and it flows toward whoever can sustain the longest runway and the cheapest access to compute.
Sloane Duvall