Why AI Is Not a Bubble: The Scaling Evidence Every Executive Needs to See
AI task complexity is doubling every 3 months, six times faster than Moore's Law. AI scores 90% on PhD-level benchmarks where human experts average 65%. AGI timelines have collapsed from 50 years to possibly 5. The bubble narrative is not just wrong. It is dangerously complacent.
Key takeaways
- AI task complexity is doubling every 3 months, a rate 6x faster than the original Moore's Law. The tools your team evaluated six months ago are already obsolete
- Every predicted scaling wall since 2019 has been broken by a new paradigm. What looks like a plateau is just the transition between stacked S-curves
- AI now scores 90% on PhD-level science benchmarks where human experts average 65%, and has discovered entirely new physics laws
- AGI timeline estimates have collapsed from 50 years away (2020) to a 25% chance by 2027 and 50% by 2031, according to surveyed AI researchers
- Even the architects of this technology assign a 25% probability to catastrophic outcomes, making responsible governance not optional but existential