We can now decompose complex tasks like qual analysis into manageable and iterative pieces.

There is a push-pull relationship with AI capabilities and trust, and the line we walk in exploring that ideal.

The goal shouldn’t be to secretly use AI to look or sound smart.   It should elevate your our own voice and character.  It shouldn't reduce us to noise.

Trust has to continuously adapt to the capability of the tools or models you’re using.

Powerful agentic AI is about understanding AI well-enough to know when to hand off your decisions, and more importantly when NOT to.

If we don’t structure our conversation around truthfulness, then we’re outsourcing our judgment without realizing it.

We may need more conversations around AI confidence and structuring our decisions around confidence-levels.

Most companies think AI isn’t paying off because the tech isn’t good enough yet, but research on AI adoption increasingly shows the biggest barriers aren’t technical — they’re organizational.

My reflections on how we used Co-pilot's integration of GPT 5 in the research function.