For decades, innovation has been synonymous with speed. Faster processors. Faster networks. Faster iteration cycles. Faster time-to-market.
Speed unconsciously rhymes with innovation and gradually became both its means and its metric. But as we approach physical, environmental, and societal limits, a more unsettling question emerges: What if speed itself has become an outdated value?
1. Let’s Talk About Moore’s Law
Moore’s Law and the Computer Value Chain
Moore’s Law – the observation that the number of transistors on a chip doubles roughly every two years – has shaped the entire computer value chain. For over half a century, it delivered exponential gains in compute power, dramatic cost reductions, and continuous performance improvements.
Between 1971 and 2010, compute performance per dollar increased by more than a million-fold. Entire industries—from personal computing to cloud services—were built on a single implicit assumption: “more compute tomorrow” was inevitable, cheaper, and faster.
For a long time, that assumption held true. And many projections for emerging technologies such as AI, synthetic biology, advanced robotics etc still implicitly promise Moore’s-Law-like trajectories.
The Fundamental Limits of Moore’s Law
However, Moore’s Law is fundamentally about compute density, not value creation. The moment output is no longer primarily compute-bound, its relevance collapses.
Most real-world problems are not compute problems.
- In the physical world, doubling electrons does not double outcomes. A liter of fuel does not allow you to travel twice as far every two years. A drug does not cure you twice as fast because CPUs improved.
- In healthcare, AI models can analyze millions of scans, but life expectancy in developed countries has increased by months (not years) per decade, often constrained by biology, regulation, and care delivery, not compute.
- In education, access to computing power has exploded, yet global learning outcomes have barely improved. OECD PISA scores have remained largely flat for 20 years.
Applied to daily life, Moore’s Law quickly becomes absurd. Imagine expecting technology to double human life expectancy every two years. Or expecting cities to double livability at the same pace chips doubled transistors. When bottlenecks are social, biological, institutional, or ecological, more compute delivers sharply diminishing returns.
The Failed Extension to the Electro Value Chain in a Finite World
Today, we are trying to extend Moore’s Law logic beyond chips: into energy, infrastructure, and electrons themselves. This is where the illusion breaks. Electrons are not abstract. They require: Rare materials (copper, lithium, cobalt, rare earths), Energy generation, Cooling systems, Land, water, and physical space.
Data centers already consume roughly 1–1.5% of global electricity, and AI training runs can consume several gigawatt-hours for a single large model—equivalent to the annual electricity consumption of hundreds of households. Exponential growth collides with: Thermodynamics, Resource scarcity and Planetary boundaries.
In a finite world, infinite acceleration is not innovation. It is deferred accounting.
2. A New Compute Power Innovation Frontier
New Metrics for Progress
The slowdown of Moore’s Law does not mean compute innovation must stop. It means its metrics must change. The new frontier is no longer: “How much faster can we compute?” But: “How much value can we extract per unit of energy, material, and environmental cost?”
Compute per watt. Compute per kilogram of material. Compute per ton of CO₂. Efficiency, not raw speed, becomes the dominant variable.
Emerging Frontiers That Question the Paradigm
This shift opens radically new directions (to name a few): Space-based data centers, exploiting vacuum cooling and solar abundance. Photon-based computing, reducing resistance and heat losses. Quantum computing, targeting narrow classes of problems rather than general acceleration. Bio-AI hybrids, where biological systems perform computation at energy costs orders of magnitude lower than silicon.
These approaches do not simply accelerate the existing paradigm. They challenge the assumption that faster is always better.
3. The Emerging Value of “Relevance” in Innovation
Intentional Innovation
Proper innovation is intentional innovation. It does not start with technology. It starts with a question: ”What problem are we actually trying to solve?”
For the first time in human history, technological innovation itself is becoming a commodity. Models, tools, and platforms are increasingly accessible, interchangeable, and abundant. When innovation becomes abundant, meaning becomes scarce.
In that context, deciding where, why, and how fast to innovate becomes more important than innovating faster.
The False Virtue of Speed
Granting speed an intrinsic positive value in innovation is a category error. Speed is valuable when deploying a relevant solution. It is harmful when it outpaces understanding, governance, or intention.
Speed is not neutral. It amplifies outcomes, both beneficial and destructive.
Relevance Through Ethics, Economics, and Environment
Unchecked acceleration forces uncomfortable questions: Ethics: Are we deploying technologies faster than we can assess their societal consequences? Economics: Who captures the gains of acceleration, and who absorbs the risks? Environment: How much acceleration can our ecosystems actually sustain?
If innovation optimizes speed while ignoring relevance, it becomes extraction, not progress.
Conclusion: Slowing Down to Move Forward
Defining which problems we want to solve and which future we want to build together is not a technical challenge. It is a political, philosophical, economic, and ethical one.
Without clarity on these questions, we allocate massive resources to solutions in search of problems. We accelerate technologies we do not yet understand. That is not ambition. It is poor risk management.
Perhaps the most radical innovation today is not technological at all. Maybe we need to slow down, not to stop progress, but to redirect it deliberately. To invest more effort in innovating our institutions, governance models, and collective decision-making before further accelerating technologies that shape our societies faster than our capacity to adapt.
In an age obsessed with “faster, faster, faster,” relevance may be the new frontier of progress.