La Nación maps ten ways AI will reshape the next 1,000 days

Sebastián Campanario’s essay is a sophisticated attempt to move the AI debate in Latin America beyond hype cycles toward a more nuanced macro view. By juxtaposing signs of bubble behavior with hard adoption metrics—like hundreds of millions of ChatGPT users and the slow translation of pilots into productivity gains—it captures the ambiguity many operators feel. The framing of the next 1,000 days as a hinge period is useful: most large firms started serious deployments in late 2024, so 2026–2027 is when we’ll find out whether those systems actually change P&L or just burn cloud credits.

For AGI observers, the piece is notable because it treats frontier models as infrastructural rather than purely speculative. References to DeepMind’s history and the enterprise rollout cycle underscore that we’re past the "toy" phase: these systems are already deeply entangled with decision‑making, even if measured productivity is lagging. That gap between subjective transformation and slow macro numbers is exactly what you’d expect early in a general‑purpose technology’s diffusion—electricity and the internet looked similar.

The article also highlights a key strategic question for emerging markets: is this a new, standalone wave where startups can capture outsized value, or just the continuation of digitization that mostly reinforces incumbents? The answer will determine whether AGI‑adjacent gains accrue to a handful of US and Chinese platforms or whether local champions emerge with region‑specific data, distribution and regulatory leverage.