How To Make Decisions While AI Disrupts Itself

So far, strategic corporate decisions about AI have mostly begun with OpenAI vs Anthropic vs Google.

However, once onboard a frontier lab train, it becomes clear that no one knows all the stops on the way to Artificial General Intelligence (AGI), including the labs themselves. The “track” also remains under construction, costing trillions of dollars each year and causing rumours of an investment crash – just like the literal railroads of old.

This has turned out to be a very unusual journey indeed.

Alongside advising our clients, I have been a fellow traveller during the last few months.

We halted a classic SaaS implementation of our own recently to adopt a new agentic stack. However, just as we began constructing it, our strategic AI partner released its own stack in beta, triggering another revision of our already revised plan. These were all good interruptions, but unanticipated destinations, nonetheless.