What the next ten years of artificial intelligence growth means for the economy, work, science, and the human future.
The global AI market is projected to grow nearly 9× between 2023 and 2030 — compounding at over 35% annually. No technology in history has scaled this fast at this size.
AI training compute has grown 4× faster than Moore's Law since 2012. By 2030, frontier models will train on clusters that dwarf today's most powerful supercomputers by orders of magnitude.
AI stops answering questions and starts taking actions — booking, coding, researching, managing. Autonomous agents become the dominant interface paradigm.
McKinsey estimates AI could deliver $15–25T in annual economic value within the decade — larger than the current GDP of the United States.
Goldman Sachs projects 300 million full-time jobs globally could be automated or augmented. The shift is not destruction — it's transformation at a pace humans have never had to absorb.
AlphaFold solved protein folding in months. By 2035, AI-driven discovery pipelines will compress decades of drug development into years — targeting cancer, Alzheimer's, antibiotic resistance, and climate solutions simultaneously.
AI sees, hears, reads, speaks, and acts across every modality simultaneously. The interface disappears — AI is ambient, embedded in every surface and tool.
Misuse, misinformation, surveillance, and concentration of AI power in few hands are the decade's defining policy challenges. Every major government is writing the rules — mostly from behind.
AI's growth over the next decade is not in question. The only open variables are governance, access, and distribution — who shapes the technology, and who benefits from it.
The AI Decade · 2025–2035