Issue S-curves are compressing and the gap between leaders and laggards widens exponentially
Summary
In its opening essay, Deloitte argues that what sets the current period apart is not simply how capable AI is but how compressed technology adoption curves have become. The interval between a technology being emerging and becoming mainstream is shrinking fast. As an illustration, generative AI reached roughly 100 million users in about two months, while telephones took 50 years to reach 50 million. Improvements in technology, data, investment and infrastructure now reinforce one another like a flywheel, so organisations running continuous learning loops outpace those built for step-by-step improvement. The result is that the distance between leaders and laggards grows exponentially rather than linearly. The essay concludes that success depends less on sophisticated technology than on the courage to redesign instead of automate, the discipline to tie investment to outcomes and the speed to act before the window closes.
Classification
Evidence 2
- Tech Trends 2026: As technology innovation and adoption accelerate, five trends reveal how successful organizations are moving from experimentation to impact Deloitte Insights (Deloitte Development LLC, US Office of the CTO) page=9;section=Innovation compounds 2025-12 accessed 2026-07-26
- Tech Trends 2026: As technology innovation and adoption accelerate, five trends reveal how successful organizations are moving from experimentation to impact Deloitte Insights (Deloitte Development LLC, US Office of the CTO) page=9;section=Innovation compounds 2025-12 accessed 2026-07-26
Constituent trends 1
Directly linked signals 0
No objects.
Relation types: constitutes
Public id: fm-0c51d6b043e1
