The AI Leapfrog Effect: Why Standardizing Now Could Be Your Costliest Mistake
CIO, Wednesday, August 19th, 2026
CIO argues locking into one AI platform too early risks paying for yesterday's technology as capability leapfrogs.
The article traces enterprise AI investment back to late 2022, when businesses began spending across marketing, sales, developer platforms, analytics and automation. That experimentation was justified: use cases were unclear and the cost of not participating felt higher than the cost of overspending.
The situation has now changed, and organizations are under pressure to consolidate and standardize.
The author argues that standardizing too soon carries its own cost, because AI capability keeps leapfrogging and a locked-in platform can leave an organization paying for yesterday's technology. The piece offers a framework for deciding when consolidation is actually safe.