Every AI transformation goes through a J-Curve: performance dips before it rises, costs precede benefits, and the organisations that pull the plug too early... just before the inflection point... are the ones that lose. David's broadly-cited J-Curve framework identifies three novel challenges that make AI change management an order of magnitude harder than anything that came before.
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⦿ Why AI transformation is structurally different from every previous digital wave
⦿ The three novel challenges — and what to do about each
⦿ How to read the J-Curve and know if you're in the dip or off the edge
⦿ What boards need to ask — and what honest answers look like
⦿ How to accelerate the benefits while genuinely mitigating the harm
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Available as keynote (45 min), keynote with Q&A (60 min), panel, or fireside chat. Best suited to boards and NEDs, CIOs and CTOs, transformation teams, tech conferences, and the investment community. David's J-Curve of Change framework has been cited across industries for 20+ years, most recently by the Tony Blair Institute and Pender Fund.