AI investment is often treated as one portfolio, creating confusion about value, governance, and returns. This episode explains why leaders need to distinguish efficiency, transformation, and strategic optionality before judging AI performance. 

It explores how different AI bets create value across different time horizons.

TLDR / At a Glance

• Efficiency gains in existing work
 • Transformation through workflow redesign
 • Optionality as future strategic flexibility
 • Category errors in AI business cases
 • Portfolio metrics by investment type
 • Governance matched to value logic

The key takeaway is that strong AI portfolios classify investments first, then apply the right proof standard for each category.

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