Idea
Are we measuring successful transformation, or merely successful transformation programmes?
Transformation is often judged within a leader's tenure, while consequences for institutional knowledge, maintainability, apprenticeship and resilience can emerge much later. AI may widen the gap between immediate delivery output and the organisational capability needed to sustain it. Examine the incentives and governance that make capability renewal visible alongside quick wins.
Current thinking
Working hook: Who pays for the transformation after the leader has gone?
Distinguish delivering visible milestones from leaving an organisation able to sustain and evolve the result. Short mandates can enable necessary change; long tenure does not guarantee stewardship. Avoid treating public-sector short-termism as established or private-sector share price as inherently long-term. Research comparative incentives before making sector-wide claims.
AI example: accelerated software output can coexist with weaker junior development, system understanding and institutional memory. Equally, AI can be designed to improve learning and documentation. Track delivery productivity, organisational capability and capability renewal separately.
Next action: Draft a standalone Threads post for 27 September 2026, adapt for X and Bluesky, and hold a researched LinkedIn article for later. Do not mark any content as published without confirmation.
Writing on this idea
Nothing published under this one yet — it is still a question I'm carrying rather than an argument I've made.