My One-Year-Old Predictions for What the World Will Look Like in 3 Years
A viral forecast sees AGI labs as national assets, with single queries costing hundreds of thousands of dollars.
In a viral post originally written in January 2025, forecaster Ihor Kendiukhov outlines a stark vision for January 2028, centered on the complete transformation of the AI industry. His core prediction is that major AGI labs (like those from OpenAI, Anthropic, and Google DeepMind) will be either nationalized or operate under strict government protection and audit, treated as national security assets. Frontier models will be inaccessible to the public, partly because a single query is predicted to cost "tens or hundreds of thousands of dollars." This shift is framed within a full-scale US-China tech confrontation, with near-total bans on chip exports.
Kendiukhov also details the technological and economic landscape. He predicts frontier AI will be "distinctly superhuman" in theoretical domains like mathematics and programming, far surpassing any human. In the economy, he foresees a paradox: while AI agents outperform humans at most 2025-era jobs, mass unemployment and roboticization have not materialized. Instead, a new corporate structure emerges, with "5–20 human managers + thousands of AI agents" running companies, leading to "unicorns with only a handful of employees." Despite over a trillion dollars spent on server infrastructure, energy scarcity begins to curb growth, and while AI-driven drug candidates flood clinical trials, the macroeconomic statistics show little visible impact.
- Predicts major AGI labs (OpenAI, Anthropic) will be nationalized or quasi-nationalized by 2028, with frontier model queries costing $100k+.
- Foresees AI as superhuman in theoretical science, enabling corporate structures of just 5-20 humans managing thousands of AI agents.
- Envisions a trillion-dollar server buildout facing energy limits, with muted GDP impact despite pervasive AI adoption.
Why It Matters
This forecast challenges current business models and highlights potential regulatory and national security trajectories for transformative AI.