Capability is the only durable AI moat. Tooling is rented; capability compounds.
Cultivate AI-SDLC literacy through direct engagement.
AI-driven development changes the fundamental physics of software delivery, altering traditional assumptions about estimation, testing, and deployment. Relying on past mental models calibrated for human-only constraints will lead to suboptimal outcomes.
Operational understanding of new technologies is not gained through vicarious learning. Direct, hands-on engagement with emerging tools and processes is prerequisite for leaders to make informed strategic decisions.
Organizational processes and team structures optimized for prior technology paradigms become liabilities when unaligned with new operational realities. Attempting to bolt novel capabilities onto obsolete workflows yields marginal returns.
Strategic leadership in rapidly evolving technical domains requires continuous personal engagement with the operational core. Delegating this understanding cedes strategic authority and hinders effective decision-making.
The first question for any AI program: what does this organization measure, and what does the measurement reward?
Capability is the only durable AI moat. Tooling is rented; capability compounds.
Cultivate AI-SDLC literacy through direct engagement.
AI-driven development changes the fundamental physics of software delivery, altering traditional assumptions about estimation, testing, and deployment. Relying on past mental models calibrated for human-only constraints will lead to suboptimal outcomes.
Operational understanding of new technologies is not gained through vicarious learning. Direct, hands-on engagement with emerging tools and processes is prerequisite for leaders to make informed strategic decisions.
Organizational processes and team structures optimized for prior technology paradigms become liabilities when unaligned with new operational realities. Attempting to bolt novel capabilities onto obsolete workflows yields marginal returns.
Strategic leadership in rapidly evolving technical domains requires continuous personal engagement with the operational core. Delegating this understanding cedes strategic authority and hinders effective decision-making.
The first question for any AI program: what does this organization measure, and what does the measurement reward?
After 20 years in software development, Norman is both a hands-on leader and defining the new age of AI SDLC for some of the biggest brands in the world — and exploring it with the builders. He writes here about things he is hearing and seeing. All posts are his personal points of view and do not reflect any employer or any customer he has ever had contact with.
The views and opinions expressed in this article are the author’s own and do not represent the positions of any employer, client, or affiliated organization.
