Optimism Is Not a Strategy. It Is an Input.

Optimism Is Not a Strategy. It Is an Input.

McKinsey’s “The case for optimism in uncertain times,” written by Yuval Atsmon, makes a useful distinction between blind positivity and action-oriented optimism. Yuval Atsmon argues that pessimism can be as irrational as optimism when the facts are incomplete, and that long-term optimism can motivate the work required to create better futures rather than merely hope for them. That is a worthwhile argument. It is also incomplete without scenario planning.  

Optimism has always been a fraught word in strategy. It sounds like confidence, but too often behaves like bias. It can encourage leaders to discount weak signals, underfund resilience, or treat disruption as an inconvenience in the context of quarterly plans. The opposite problem is just as dangerous. Pessimism can masquerade as realism while narrowing imagination, suppressing investment, and turning uncertainty into paralysis.

Scenario planning offers a better discipline. It does not ask leaders to be optimistic or pessimistic. It asks them to be prepared.

McKinsey’s piece rightly reminds readers that human progress has rarely followed a clean line. The past century produced dramatic gains in electricity access, income, life expectancy, literacy, education, and poverty reduction, even as wars, pandemics, financial crises, political reversals, and inequality interrupted the arc. That evidence deserves attention. The historical record does not prove that progress will continue. It proves that progress remains possible under conditions that often appear hostile to it.  

That distinction is critical for strategy.

Too many organizations confuse a positive forecast with a future-ready posture. A forecast says, “Here is what we think will happen.” A scenario set says, “Here are several different futures in which our strategy may have to perform.” Forecasts compress uncertainty. Scenarios preserve it long enough for leaders to learn from it.

At Serious Insights, scenario planning begins with the recognition that the future does not generate data for us to analyze. All data is historical. Even the newest dashboard describes something that has already happened. The farther a model extends into the future, the more it relies on assumptions, whether stated or not. Scenarios make those assumptions visible. They create a structured way to examine how social, technological, economic, environmental, and political forces might combine into very different operating contexts.  

That is where optimism becomes useful. Not as a conclusion. As a provocation.

An optimistic scenario asks what could go right if institutions adapt, technologies mature responsibly, markets reward long-term value, and communities find new ways to cooperate. A pessimistic scenario asks what happens if coordination fails, trust erodes, costs rise, governance lags, or technology concentrates power. A good scenario set includes both, along with futures that refuse those simple emotional labels.

The McKinsey argument leans toward a century of plenty: more abundance, more prosperity, more access, and more human possibility. The authors referenced in the piece imagine a world in which global GDP grows dramatically by 2100, and the poorest countries reach living standards comparable to those of Switzerland today. That is a legitimate scenario. However, it is not a baseline and should not be construed as a prediction. It is a strategic aspiration that must be tested against constraints: climate adaptation, demographic imbalance, political fragmentation, energy demand, AI governance, institutional trust, debt, migration, education quality, and the uneven distribution of technological capability.  

Scenario planners should welcome such optimistic narratives. They force organizations to ask whether their strategies are too small. They challenge the assumption that today’s limits define tomorrow’s possibilities. But optimism should never receive privileged status simply because it is more appealing than decline. I tell my clients that the scenario needs optimism because if we can’t imagine at least one future in which things get better, we can never find a path toward it. Strategic thinking, however, must still navigate toward a goal while accounting for situations and events that may prove less than desirable.

The right question is not, “Should we be more optimistic?”

The right question is, “What would we have to do for this optimistic future to occur, and what evidence would tell us that those actions are becoming more or less plausible?”

That question moves optimism from mood to method.

It also shifts the burden of leadership. Leaders do not get to point at uncertainty and wait for clarity. They must act under uncertainty while keeping options open. They must build strategies that can survive disappointment without abandoning ambition. They must invest in capabilities that make sense across several futures, not just the one future they prefer.

This is where many strategic plans fail. They adopt an implicit future, write goals against it, and then treat deviations as execution problems. Scenario planning reverses that logic. It assumes deviation. It tests plans before reality does. It asks where a strategy breaks, where it bends, and where it becomes irrelevant.

McKinsey is right that pessimism can be irrational when the facts are incomplete. But optimism can be equally irrational when it becomes an excuse to avoid contingency. The disciplined response is not emotional neutrality. It is strategic plurality.

A useful scenario practice should include:

• A future in which optimism is rewarded because innovation, governance, and investment align.
• A future in which progress continues, but unevenly, producing new tensions and legitimacy challenges.
• A future in which technological capability advances faster than institutional capacity.
• A future in which scarcity, fragmentation, or backlash reshapes the operating environment.
• A future in which today’s apparent constraints are reframed by discoveries, behaviors, or institutions that do not yet exist.

The value does not come from naming those futures. It comes from using them. Scenarios are not important for the stories they tell, but for the stories they inspire inside the organization that developed them.

Organizations should wind-tunnel major decisions against each scenario. Capital investments. AI adoption plans. Talent strategies. Supply chain redesign. Product portfolios. Governance models. Risk frameworks. If a decision only works in the preferred future, it is not strategy. It is a bet masquerading as a plan.

Optimism has a role in that work. It keeps organizations from surrendering imagination to crisis. It reminds leaders that uncertainty cuts both ways. Unknown risks may emerge, but so may unknown solutions. McKinsey’s piece captures that point well. But scenario planning adds the missing managerial discipline: optimism must be interrogated, compared, operationalized, and monitored.  

The future does not owe us progress. Nor does it owe us collapse. Both are human stories imposed on ambiguity.

Leaders make the better bet when they build organizations that can learn as the future unfolds. That requires optimism enough to invest, skepticism enough to test, and humility enough to revise. Scenario planning does not replace optimism. It gives optimism a job.

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All images via Google Gemini and/or OpenAI ChatGPT from prompts written by the author.

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