GenAI's Adoption Puzzle
TLDR
- Benedict Evans examines why generative AI adoption does not follow the patterns seen in previous technology waves.
Key Takeaways
- GenAI adoption is described as a puzzle, suggesting the expected diffusion curve has not materialized cleanly.
- Evans, a longtime technology analyst, focuses on the structural reasons adoption is uneven or slower than expected.
- The framing implies a gap between capability availability and actual enterprise or consumer integration at scale.
- Previous tech adoption models may not map well onto how organizations absorb AI tools into real workflows.
Why It Matters
- Understanding why a capable technology stalls in adoption is more actionable for builders than debating raw capability benchmarks.
- If the adoption pattern is genuinely anomalous, standard go-to-market and integration playbooks from prior cycles may mislead product decisions.
Benedict Evans · ** · Read the original