In a recent essay on Interconnects, Nathan Lambert argues that the AI revolution is still in its infancy—less than five years in—and that its full arc could stretch across a century. That framing challenges the prevailing assumption that AI's effects on ordinary people should already be obvious and widespread. Instead, Lambert suggests, we may be in the earliest phase of a slow, compounding transformation.
If that timeline is accurate, the gap between current hype and everyday experience is not a sign of failure but a natural feature of long-term technological change. Judging AI's success by immediate consumer adoption or dramatic lifestyle shifts may be premature. The real effects, the article implies, will accumulate gradually as the technology matures and integrates into existing systems.
Lambert also turns attention to the AI industry's responsibility in managing this extended process. The essay asks how companies and researchers should navigate a revolution that could outlast typical product cycles and even generational expectations. Rather than promising instant breakthroughs, the industry may need to adopt a more patient, sustainable approach to development and communication—one that acknowledges the century-scale horizon Lambert describes.