Faster Than You Think: AI Will Hit Like an Asteroid
Every major technology has followed the same arc: big promise, slow delivery. Wake me when it’s over. ERP promised transformation and delivered years of implementation. Cloud promised speed and delivered migration programs measured in years. The grander the claim, the longer the integration cycle.
The pattern is predictable. Value doesn’t appear until systems are rewired. APIs are mapped. Data models are reconciled. Machines have to learn to speak to machines — through hard-won, handwritten code — before enterprises benefit.
Skepticism about AI’s speed of adoption is reasonable.
And yet this cycle will move very differently — not because AI is smarter, but because of where it’s injected into the enterprise. Previous technologies demanded system-to-system integration first. ERP had to replace accounting workflows. CRM had to connect to sales infrastructure. Data warehouses needed pipelines before a single dashboard could roll out.
AI doesn’t start at the core. It starts at the human layer, on our side of the monitor.
Like an eager new hire, it works with what’s already deployed. It reads the documents teams already read. It drafts inside tools they already use. It summarizes the reports executives already review and reasons over exported data without redesigning the database that produced it. No middleware. No migration. No eighteen-month integration roadmap before the first win.
That difference is what makes this one move like an asteroid — fast, and visible only once it’s already close.
AI carries the biggest promise yet, but its first layer of leverage doesn’t require ripping apart the architecture. You can generate material gains before the plumbing is complete. Durable advantage will still require data discipline, governance, and workflow redesign — but you don’t need to finish that work to start.
That is why this will be the fastest adoption cycle ever seen.
Not because enterprises are suddenly agile. But because AI begins where every other technology ended — at the human layer, on our side of the monitor.
If you’re making decisions about AI implementation partners, our guide to selecting an AI development partner can help you navigate the vendor landscape.
via xkcd.com (CC BY-NC 2.5)