04 June 2026 11:30 - 12:00
The 'confidently wrong' is holding AI transformation back - what can we do to fix it in practice?
The reason humans are so useful is not mainly their raw intelligence. Itās their ability to build up context, interrogate their own failures, and pick up small improvements and efficiencies as they practice a task.
Dwarkesh Patelās quote nails the problem and points to the root cause of why the reality of AI adoption is far behind the hype, despite the deep-seated feeling we all have that AI transformation is inevitable.
In this post, based on our recent experiences selling 7-figure AI deals to Fortune 500s and Silicon Valley tech cos alike, I'll discuss how "confident inaccuracy" seems to be at the heart of this problem. Iāll discuss what weāve done to fix it and how we can use it to power an organic continuous learning loop across the organization.