Why Now

1. The Peak and the Drop-Off

For roughly four decades after the Second World War, the field of business strategy was genuinely productive. The tools that still dominate business education today were invented in this period: the experience curve, the BCG matrix, the five forces, the value chain, core competencies, dynamic capabilities. Each represented a serious attempt to explain something real about how companies compete and succeed. Each added to a growing body of thought that, whatever its limitations, was genuinely trying to build a coherent intellectual account of competitive behavior.

That productivity peaked in the 1990s. By almost every available measure — citation impact, consultant focus, academic output, the emergence of new ideas with broad practical influence — the rate of innovation in big-picture strategic thinking reached its historical high point somewhere in the middle of that decade and then fell sharply. The strategy scholar Pankaj Ghemawat, tracking the development of salient strategy frameworks over six decades, found that the number of genuinely new and influential frameworks peaked at twenty-five in the 1990s, dropped to thirteen in the 2000s, and fell to four in the first decade of this century. Richard Pascale, whose importance-weighted citation index had tracked the impact of new business ideas for decades, stopped updating it around 2000 — not because the task was complete, but because there was no longer enough new thinking with real impact to make the tracking worthwhile. An Economist column from the mid-2010s captured the mood of the period precisely, describing the management-thinking industry as a shadow of its former self.

The field did not collapse. Consultants kept consulting. Business schools kept teaching. Thinkers50 kept ranking. Important work continued in specific domains — behavioral strategy, platform economics, ecosystem theory, organizational ambidexterity. But these contributions operated within established paradigms rather than proposing new foundational accounts of why competitive dynamics take the forms they do. The ideas at the top of the broadest influence rankings — disruptive innovation, blue ocean strategy — had been developed a decade or more earlier. They were being recycled and repackaged rather than replaced by anything genuinely new at the foundational level. The engine of big-picture, scale-spanning strategic thinking had quietly stalled.

2. Why It Happened

Two pressures drove the drop-off, and they operated independently but in the same direction.

The first was internal to the academic community. From the 1990s onward, the dominant research institutions, business schools and their journals, came under increasing pressure to produce empirically rigorous work. The standard of rigor, in practice, meant clean data, testable hypotheses, and publishable results within the timeframes that academic careers require. Big-picture theoretical work — the kind that attempts to explain why competitive dynamics take the forms they do across industries, scales, and time — does not yield easily to that standard. The rational response, for researchers who needed to publish and be cited, was to work on narrower phenomena that could be precisely measured and cleanly tested. The field did not abandon theory consciously. It drifted away from it under the accumulated pressure of incentives that rewarded precision over reach.

The second force was external, and it operated on practitioners rather than academics. The decades after the 1990s saw the accumulation of extraordinary disposable wealth in the hands of a small number of investors and firms. That capital moved progressively upstream: from public markets toward private equity, from private equity toward venture capital, from venture capital toward earlier and earlier stage bets on disruption. With that movement came a shift in the culture of business thinking. The practitioners who set the intellectual tone — the ones whose ideas got written about, whose frameworks got taught, whose worldview shaped what the next generation of strategists thought strategy was — were increasingly people whose primary interest was in starting new ventures and disrupting existing businesses. The question that animated the most influential business thinking of the early twenty-first century was not "how do companies create durable value over time?" It was "how do you find the next big thing before everyone else does?"

That is not an illegitimate question. But it is a narrow one. And when it displaces the broader questions — about how competitive dynamics work at every scale, about what drives commoditization and innovation across industries, about how companies and economies evolve as systems — the intellectual infrastructure that supports serious strategic thinking begins to erode. The frameworks stop getting better. The theories stop getting deeper. The practitioners stop asking for them, because the culture has decided that foundational thinking is for people who are not moving fast enough.

3. What Was Lost

The consequence of these two pressures operating together for three decades is not merely an absence of new frameworks. It is a gap in the foundational, scale-spanning theoretical account of strategic thinking.

The frameworks that exist — and there are many of them, accumulated across sixty years of the field's history — describe phenomena without explaining them. They tell you what the product life cycle looks like but not why it exists. They tell you how to classify a portfolio but not what forces are driving the positions of its components. They tell you to build dynamic capabilities but not what dynamics they are supposed to address or why those dynamics take the forms they do. Each framework was developed for a specific context, at a specific scale, resting on theoretical assumptions that were rarely made explicit and never unified with the assumptions underlying other frameworks.

A strategist trained on this body of work — however diligently, however brilliantly — emerges holding a collection of separate tools with no common foundation. When the tools fit the situation, they work. When the situation changes — when an industry is disrupted in a way no existing framework anticipated, when AI reshapes the competitive dynamics that the frameworks were designed to describe, when the conditions that made a framework reliable in one context make it unreliable in another — there is no underlying theory to fall back on. No first-principles account of why competitive behavior takes the forms it does that could survive the conditions the framework was not designed for.

That gap has always existed. What has changed is the cost of carrying it.

/ For the intellectual case for first-principles theories and what distinguishes them from frameworks, see Foundational Theories. /

4. The AI Inflection

The arrival of capable AI systems does not create a new problem for strategic thinking. It reveals and accelerates an existing one.

The decisions that AI handles best are the decisions that are structured, data-rich, and optimizable within a defined set of parameters. Pattern recognition at scale. Classification across large datasets. Optimization within well-specified objective functions. These are real capabilities, and they are genuinely transformative for the operational and analytical work that has historically consumed a large share of professional cognitive effort.

The decisions that AI handles poorly are precisely the ones that strategic thinking is for. Reasoning under genuine uncertainty — not statistical uncertainty across a known distribution, but structural uncertainty about which framework applies, which scale of analysis is the right one, which dynamics are actually governing the situation. Managing a portfolio of competing priorities across time horizons that do not resolve in the same place. Recognizing that what looks like an optimization problem is actually a positioning problem, or that what looks like a competitive threat is actually a commoditization cycle that calls for a different response entirely. These are not tasks that can be delegated to a model that was trained on the past. They are tasks that require a human strategic mind operating at the right scale, with the right foundational understanding of why competitive behavior takes the forms it does.

AI does not reduce the demand for that kind of thinking. It concentrates it. As the operational and analytical work gets absorbed into automated systems, the remaining decisions — the ones that actually determine outcomes — are increasingly the ones that demand genuine strategic judgment. The cost of not having developed that judgment, in an environment where everything else is being automated, is higher than it has ever been before.

This is the second Why Now. And it compounds the first rather than replacing it. The intellectual tools for foundational strategic thinking have been in decline for three decades. The environment demanding those tools has just changed in a way that makes their absence more consequential. The gap that was always there is now the gap that everything else depends on.

5. The Response

The response has three parts: two foundational theories, an independent framework, and a family of games and simulations that make both experiential.

The One-Need Theory of Behavior and the Ofmos Theory of Business — developed by Cristian Mitreanu over two decades of original research — were built precisely to fill the gap the field left open. They do not add two more frameworks to the existing pile. They attempt something different: to explain, from first principles, why competitive dynamics take the forms they do at every scale, from the individual decision to the economy as a whole. To provide the underlying theoretical logic that existing frameworks describe without explaining. To give the strategist something to fall back on when a framework stops working, because the theory behind it still holds.

The Five Scales of the Business Big Picture — an independent framework built on those theories — identifies five levels of reality at which human economic behavior organizes and at which purposeful strategic action is possible: the individual mind, the AI-augmented mind, the product portfolio, the company, and the economy. Each scale has its own unit of analysis, its own emergent phenomena, and its own formula for success. The framework provides the architectural structure for developing strategic thinking at every scale — not through a single tool or a single course, but through any learning experience designed to surface the phenomena at a given scale.

The strategy learning solutions — developed around the OFMOS® family of games and simulations and structured by the framework — are the first application of that architecture. The games create the conditions — real decisions, real consequences, competitive pressure, emergent dynamics — that make each scale's phenomena visible and experiential. Strategic judgment cannot be developed through passive instruction. Knowing the theory is not the same as being able to act on it under pressure, against adaptive rivals, with real consequences attached. The game closes that gap — building the judgment the theories explain, through the experience of making real decisions in a system that responds.

The moment has arrived. Not because the world has suddenly become more complex — it has always been complex. But because the combination of a decades-long intellectual retreat from foundational strategic thinking and an AI-driven concentration of demand for genuine strategic judgment has made the cost of the gap finally visible. That visibility is the opportunity.

/ Button: Explore the Five Scales Framework /

/ Button: Read the Foundational Theories /

/ Button: Explore OFMOS® Essential /