At the recent 2026 Bund Summit, Nobel Prize-winning economist Philippe Aghion delivered a keynote address centered on the concepts of "creative destruction" and the artificial intelligence revolution. He presented a compelling case that AI could accelerate annual productivity growth by an additional 1.08 percentage points over the next decade, a potential impact that may surpass that of the IT revolution. However, he cautioned that converting this technological promise into sustained economic expansion will critically depend on whether competition policy, educational frameworks, and labor market institutions can evolve in tandem.

Aghion initiated his analysis by examining AI's economic impact through the lens of productivity. His research, conducted with colleagues, indicates that by solely accounting for AI's role in automating tasks within the production of goods and services, the technology could boost annual productivity growth by 0.68 percentage points over the next ten years. This figure aligns with the productivity gains projected from the historical experience of the IT revolution. Yet, Aghion emphasized that "0.68 percentage points is merely a lower bound." When incorporating AI's capacity to foster the generation of new ideas, he argued that productivity growth could see an additional increase of at least 0.4 percentage points annually, bringing the total potential uplift to roughly 1.08 percentage points.

Despite this optimistic outlook, Aghion warned that technological breakthroughs do not automatically translate into persistent growth. He highlighted a fundamental contradiction within creative destruction theory: innovation requires rewarding successful pioneers to sustain the impetus for future breakthroughs, but those same incumbents may leverage their established advantages to stifle the entry and creativity of newcomers. He asserted that the AI era presents this very challenge, noting the high concentration already observable at the upper echelons of the AI value chain. The cloud computing market is dominated by giants like Amazon, Google, and Microsoft, while the graphics processing unit market is similarly consolidated. "AI indeed possesses substantial growth potential, but its full realization depends on effectively addressing competition issues," he stated.

Turning to the experiences of economies transitioning from catch-up growth to frontier innovation, Aghion noted that productivity gains can be achieved through either imitating and absorbing existing technologies or pursuing frontier innovation. As an economy edges closer to the technological frontier, the significance of a robust innovation environment becomes increasingly pronounced. When discussing China's position, he pointed to metrics such as the share of high-tech patents, which suggest the nation is currently performing admirably in frontier innovation. "China is doing very well in frontier innovation," he concluded.