AI value lies in strategic innovation, not just speed

Titus Winters, currently focused on developer experience at Adobe, discusses the difficulty of measuring developer productivity in the AI era. He proposes an index metric approach to aggregate various indicators like releases and test coverage but notes this fails to capture the 'fourth form of impact': changing the game through strategic innovation. Winters cites a case where a mid-sized engineering company used AI to rewrite a licensed, closed-source component, eliminating a revenue-share cost and enabling cash-flow positivity without layoffs. He contrasts this with traditional metrics that might show only 20-30% productivity gains, arguing that AI's true value is enabling harder, more valuable tasks that were previously impossible. Winters also highlights that culture and psychological safety are strong predictors of team success, noting that DORA research suggests culture questions can explain 30% of whether a team hits its goals. He warns that layoffs, while financially motivated, create hidden costs in morale and productivity that executives often overlook. Winters argued that a lot of the value of AI is not in doing the same thing faster, but in doing a harder, more valuable thing that you wouldn't have even thought about.