Entrepreneurship and growth: lessons from an intellectual journey

GAICIL Insights

People fear what they do not understand, and the history of growth is largely a history of things people feared.¹ Entrepreneurship and growth: lessons from an intellectual journey, by Philippe Aghion, recounts building a theory of economic growth centered on innovation and creative destruction. Growth is generated by innovative entrepreneurs, whose investments respond to incentives shaped by policies and institutions. New innovations replace old technologies, so growth involves creative destruction and a permanent conflict between incumbents and new entrants. Progress, in this theory, is a fight that never ends.

The lecture moves in three steps. It lays out the paradigm and the empirical predictions distinguishing it from other growth models. It examines four debates the approach illuminates: the middle income trap, secular stagnation, the rise in top income inequality and firm dynamics. And it shows how the paradigm can be used to think about, or rethink, growth policy design.

The conclusion is humble and hopeful. Many paths remain to understand the enigmas of growth, its relationship with innovation and the role of institutions and policy in development. Understanding benefits society as well as science because, as the author puts it, people are less fearful of what they understand. He recalls Tocqueville's worry, from Democracy in America in 1835, that people might come to see every innovation as a toilsome trouble and refuse to move at all for fear of being carried off their feet. The hope is that 30 years of growth research can help dispel such apprehension.

Few warnings fit artificial intelligence better. AI is the latest and perhaps most powerful wave of innovation, and it has provoked considerable anxiety. Tocqueville's fear of a society refusing to move resonates with contemporary calls to slow or halt AI development. The framework offers a way to understand AI's effects on growth, and understanding can temper fear. A society paralyzed by a technology it does not understand forfeits the gains while keeping the anxiety.

Entrepreneurs are the theory's protagonists, and AI's. AI innovation is driven by entrepreneurs, in startups and within established firms, responding to incentives shaped by policies and institutions. Policies strengthening incentives to innovate, through competition, education, research funding and well-designed intellectual property, will shape the pace and direction of AI progress.

The incumbent-entrant conflict is the plot. Creative destruction means new innovations displace old ones, and incumbents have incentives to resist. In AI, established firms and new entrants compete intensely. Policies keeping markets open to entrants, preventing incumbents from blocking challengers, sustain the creative destruction that drives growth. Today's AI leaders were yesterday's entrants, and the theory predicts they will face the same temptation to pull up the ladder.

All four debates bear on AI. The middle income trap concerns how economies move from imitation to innovation, a question for countries seeking a role in the AI economy. Secular stagnation asks whether growth has permanently slowed, and AI may be part of the answer. Top income inequality concerns how innovation shapes income distribution, central in AI debates. Firm dynamics concern entry, exit and reallocation, all of which AI will reshape.

Growth policy design is the constructive payoff. The paradigm guides how institutions and policies can foster innovation-led growth. For AI, that points toward competition policy preserving entry, investment in education and research, and social policies helping workers adjust to creative destruction.

Intellectual humility is a lesson in itself. Growth remains partly enigmatic, and much research is still needed. Applied to AI, that humility suggests evidence-based policies adjusted as understanding improves, avoiding uncritical enthusiasm and paralyzing fear alike.

Read as a whole, understanding innovation helps societies embrace it. A theory of growth grounded in entrepreneurship and creative destruction explains how innovation drives prosperity and how policy can support it. As AI brings rapid and sometimes unsettling change, the framework offers a reasoned basis for confidence, and the lecture's closing hope, that understanding can dispel fear, is a fitting guide for the AI era.

For the AI debate, the sting is this: the most effective response to public fear may be an economics lesson. Tocqueville's immobile society is a real risk, and explanation is cheaper than stagnation.