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Optimization Is Not a Leadership Strategy

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Mark van Sumeren

February 6, 2026
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    Optimization is a powerful tool. It is also frequently misunderstood.
    Most optimization problems assume the objective function is known, stable, and agreed upon. In operational contexts, that assumption often holds. In leadership contexts, it rarely does.
    Leadership exists precisely because the problem is contested. Trade-offs are real. Values collide. Consequences unfold over time in ways that no model fully captures. What appears optimal in the short term may prove strategically fragile over a longer horizon.
    Yet many organizations now behave as if leadership were primarily a matter of selecting the best option from a ranked list. The harder work—framing the decision itself—quietly recedes into the background.
    This was one of the central questions that led me to write A Return to Strategic Leadership as a business novel rather than an analytical treatise. Frameworks are well suited to optimization problems. They are less effective at revealing what happens when the objective itself is uncertain.
    When leaders confuse optimization with strategy, judgment does not disappear. It is exercised upstream, embedded in assumptions about what is being optimized and whose interests are prioritized. Accountability becomes diffuse even as decision velocity increases.
    Optimization improves execution. Strategic leadership begins when optimization no longer answers the question—when judgment is required because accountability cannot be delegated.


    AI Did Not Remove Judgment. It Made It Invisible.

    There is a growing belief that advanced systems have reduced the need for human judgment.
     In reality, judgment has not been removed. It has been obscured.
     Every AI-enabled decision reflects prior human choices: what data to include, which variables to prioritize, how outcomes are weighted, and what trade-offs are deemed acceptable. These judgments are embedded upstream, long before a recommendation appears on a dashboard.
     One of the reasons I chose a narrative form in A Return to Strategic Leadership: Judgment in the Age of AI was to make this hidden judgment visible. Stories expose where decisions actually happen—through people, incentives, and institutional pressures—rather than where organizations claim they happen.
     When judgment is hidden inside systems and processes, accountability weakens. Decisions begin to feel inevitable rather than chosen. Responsibility becomes harder to locate, even as consequences remain very real.
     This invisibility creates a false sense of objectivity. Leaders may believe they are “following the data” when, in fact, they are endorsing a chain of assumptions they did not personally examine.
     Leadership requires making judgment visible again - surfacing the choices embedded in systems and being explicit about which ones you are willing to own.
     In the age of AI, the hardest leadership work is no longer analytical. It is judgmental in the truest sense of the word. AI can inform decisions, but it cannot assume responsibility for them—and strategic leadership begins where that responsibility is owned.