Discovery is the work AI gives back
As a branding content curator, I recommend this piece for leaders seeking clarity on AI and discovery. It reframes productivity gains as the floor of value, not the ceiling, and reveals where durable returns live. The author links McKinsey research to practical discovery choices, showing why faster cycles still miss the right questions. Read it to sharpen which bets to make, and how AI should reshape what you look for. You will find clear prompts for changing discovery framing, plus practical diagnostics your teams can run this week.
This essay distills McKinsey findings into actionable insight for product, design, and leadership teams. It explains three waves of AI value, and why durable advantage requires different discovery questions. You will learn to distinguish productivity wins from strategic bets, and to reframe your discovery prompts. Practical takeaways guide you to test assumptions upstream, sharpen framing, and surface new customer opportunities. If your team measures success by speed alone, this piece will challenge that reflex and invite a course correction. Curate this with your discovery rituals, and start asking which offerings AI should make possible, not just easier. Read it now.
Source: uxdesign.cc
