For decades, the narrative around artificial intelligence has been one of relentless progression. It’s the “next big thing,” the engine of a new industrial revolution, the successor to the internet age. But what if this framing is fundamentally wrong? A provocative and compelling argument is emerging from economic and technological history: AI might not be the next great wave of innovation. Instead, it could represent the culmination and termination of the current digital wave, a final, powerful surge before a necessary period of recalibration. This perspective, rooted in the work of economist Carlota Perez, suggests we are witnessing not a beginning, but a potentially disruptive ending.
The Perez Framework: Understanding Technological Revolutions
To grasp this counterintuitive idea, we must first understand the model of technological surges. Carlota Perez, in her seminal work “Technological Revolutions and Financial Capital,” describes how technological progress occurs in distinct, half-century-long waves. Each wave follows a similar pattern: an installation period where new technologies emerge and financial capital fuels frenzied speculation, followed by a turning point (often a major crash), leading to a deployment period where the technology matures, spreads across society, and generates broad-based prosperity.
The current wave is the age of information and telecommunications, or the “digital wave.” It began in the 1970s with the microprocessor, gained momentum with the PC and the internet in the 80s and 90s, and saw its deployment phase accelerate with mobile technology and cloud computing. According to Perez’s timeline, this wave is nearing its mature, later stages. The critical question is: what comes next?
AI as the “Frenzy” Before the Fall, Not a New Dawn
Conventionally, we view AI as the seed of the next wave—perhaps a “biotech-digital” or “intelligent machine” revolution. However, the “AI as an end” thesis posits that generative AI, large language models, and machine learning are not nascent technologies pointing to a new paradigm. Rather, they are the ultimate, most sophisticated expressions of the digital paradigm itself. They represent the final, intensive application of the core ingredients of the digital wave: massive datasets, ubiquitous connectivity, and immense computational power.
Think of it this way: the steam engine was the core technology of the first industrial revolution. Later improvements made it more efficient and powerful, but they didn’t constitute a new revolution. The next revolution came with iron, railways, and mechanization. Similarly, AI can be seen as the supercharged steam engine of the digital age—a breathtakingly powerful refinement of data processing and algorithmic logic, but still operating within the same fundamental framework established by Turing, von Neumann, and the early internet architects.
This interpretation casts the current AI investment boom in a different light. It may not be the healthy, early-stage speculation of a new wave, but the “frenzy” phase of the current wave’s maturity—a sign of a technological paradigm reaching its zenith and financial markets chasing its last, most lucrative applications. The staggering valuations, the hype cycle, and the “race for dominance” bear the hallmarks of a bubble that typically precedes a turning point.
Implications: Stagnation, Crisis, and the Search for a New Direction
If AI is the climax of the digital wave and not the prologue to a new one, the implications are profound. It suggests that after this surge, we may face a period of technological stagnation or, at minimum, a significant slowdown in paradigm-shifting innovation from the digital sector. The low-hanging fruit of the information age will have been picked. Productivity gains from simply digitizing more processes or analyzing more data may diminish.
This scenario aligns with concerns about slowing total factor productivity growth and a perceived lack of transformative inventions compared to the 20th century. The economic and social model built around perpetual digital expansion—from venture capital to business models based on attention and data extraction—could face a severe crisis of legitimacy and profitability. We may be heading toward Perez’s “turning point,” a period of political and institutional reckoning where society must decide how to manage the mature digital economy and lay the groundwork for the next, yet-unknown revolution.
The true “next big thing” might be something we can barely conceive of today, emerging from a synthesis of fields like biotechnology, nanotechnology, new materials science, or green energy systems. It will likely have a physical, tangible component that moves beyond the purely informational and virtual realm that has defined the last 50 years.
Why This Perspective Matters Today
Adopting this lens is not an exercise in pessimism; it is a call for strategic clarity. If we misdiagnose our place in history, we risk profound misallocation of resources, talent, and policy focus.
- For Investors and Businesses: It warns against assuming infinite growth in the digital-AI space and encourages looking for seeds of disruption in adjacent, underfunded sectors. The biggest fortunes of the next wave may not be made by optimizing ad targeting, but by solving physical-world problems in energy, health, or manufacturing.
- For Policymakers: It highlights the urgency of building resilient institutions, safety nets, and regulatory frameworks for a potentially turbulent transition. The goal shifts from fueling a digital gold rush to managing its aftermath and facilitating the conditions for a new, more sustainable wave.
- For Society: It prompts a crucial conversation about what comes after digital consumerism. If AI automates many knowledge and creative tasks, what is the human role? The end of a wave forces a renegotiation of the social contract, much as the industrial revolution did.
Navigating the Final Surge
The idea that AI is the end of the digital wave is a powerful corrective to the unexamined hype of our moment. It doesn’t mean AI is unimportant—far from it. Its impact will be seismic, reshaping labor, creativity, and power structures. But its historical role may be that of a grand finale, not an opening act.
By understanding this, we can engage with AI more wisely. We can harness its transformative power to solve pressing problems while simultaneously looking beyond the digital horizon. The end of one great wave of innovation is always the prelude to the search for the next. The challenge for our generation is to navigate this final, powerful surge of the digital age with our eyes open, preparing not just for a world shaped by artificial intelligence, but for the entirely new world that must eventually rise to take its place.