by Nicholas Mitsakos | Artificial Intelligence, Book Chapter, Innovation, Investment Principles, irrationality, Technology, Transformative businesses, Writing and Podcasts
AI is extraordinary. The economics are not.
Artificial intelligence has triggered the largest coordinated capital commitment of the modern technology era. The builders will spend close to $800 billion this year and approach $1 trillion next year on chips, data centers, networks, and power. Total AI revenue this year will be roughly $150 to $200 billion.
AI will reshape the global economy, and much of the capital financing that transformation will be impaired. Revenue, productivity, and cash flow will all arrive, but on the wrong schedule, after much of what was built to capture them has lost its economic value.
We have seen this movie. Railroads. Telephone and wireless networks. Fiber. The commercial internet. Each transformed the economy. Each destroyed the capital of those who built it first. The infrastructure survived. The investors did not.
The question is not whether the AI opportunity is real. The question is who pays for the gap between when the capital is spent and when the value arrives. AI may define this era. The uncertainty is whether today’s owners, creditors, communities, and ratepayers capture enough of its value to justify what they’re building with their capital.
by Nicholas Mitsakos | AI Agents, Artificial Intelligence, Biotechnology, drug discovery, Public Policy, Technology, Transformative businesses, Writing and Podcasts
Must the AI frontier slow down? Perhaps. But that is not the right question. We should ask what, precisely, must slow; what risk that restraint would reduce; who could enforce it; and what would happen if careful firms paused while less careful actors did not.
Dario Amodei has published one of the most consequential essays yet written by a frontier AI company leader. He is candid, and he is reconsidering an earlier, more benign, position. But his argument is flawed: a model’s capability is not an application or an outcome.
He says the latest models can offer dramatically good or dramatically bad outcomes. On the one hand, AI may cure most major diseases within five to ten years. But it may also become an agent swarm capable of seizing the internet within six to twelve months.
Both are wrong. These extremes are oversimplifications and can undermine both AI’s benefits in many areas and our ability to regulate and monitor it appropriately. Simply saying “boo” and hoping everyone else is frightened isn’t an effective, comprehensive strategy for addressing a serious issue.
Any good or bad from an AI model only appears when that model is part of a system that enters the world through software, capital, organizations, machines, biological systems, and public institutions. Understanding this lets us unleash AI’s potential for good while also building the systems and processes to protect society.
by Nicholas Mitsakos | Artificial Intelligence, Book, Innovation, Technology, Transformative businesses, Writing and Podcasts
We are told that we have entered an unprecedented era. Perhaps. The more useful response is to step back. Perspective does not diminish technological achievement. It allows us to distinguish engineering from magic, capability from consequence, and a genuine inflection point from a fashionable narrative. This book is about that distinction.
Artificial intelligence is a powerful tool that can make tools. But capability is not destiny. Its value and its danger emerge only when it enters real systems: energy, software, capital, organizations, machines, biology, and political institutions.
by Nicholas Mitsakos | AI Agents, Artificial Intelligence, Human learning, Innovation, Technology, Training, Transformative businesses, Writing and Podcasts
The future of AI will be systems that enter an environment, build memories, recognize gaps, ask questions, conduct experiments, model consequences, learn from people, and revise themselves under controlled conditions. AI will become an experiential learning tool. This transition would reduce dependence on internet-scale data, redistribute competitive advantage, accelerate robotics and autonomous science, strengthen specialized and sovereign AI, and create entirely new governance challenges. The next great advance in artificial intelligence may not be a machine trained on everything. It may be a machine that knows how to learn what matters.
by Nicholas Mitsakos | Artificial Intelligence, Biotechnology, Book, China, drug discovery, energy, Globalization, Innovation, Physical Intelligence, Robotics, Science, space, Technology, Transformative businesses, Writing and Podcasts
Technological, geopolitical, and capital transformation are interconnected, with unprecedented impacts on a globally connected, directly entangled economic and geopolitical world. Choices are simultaneously investment decisions, national security decisions, and civilizational bets on which technological architecture will define the next century.
Understanding them requires insightful economic, strategic, and institutional thinking. More than ever, it requires intellectual courage and patience with complexity.
by Nicholas Mitsakos | AI Agents, Artificial Intelligence, Innovation, irrationality, software, Technology, Transformative businesses, Writing and Podcasts
Autonomous shopping agents, co-working and research agents, and coding agents that write, test, and deploy software. The demos are impressive and the announcements relentless, but how much economic value is any of this generating? Almost all AI-related spending is capital expenditure. Companies are buying chips, building data centers, and scaling up cloud capacity. This is spending on AI infrastructure, not productivity from AI deployment. AI is in the infrastructure buildout phase, not the value capture phase. Mass spending is generating minimal returns, but the market has decided to price the dream rather than the earnings. Can any of this translate into economic reality before the capital runs out and political patience expires? Infrastructure, capability, and revenue growth are happening. Productivity is developing. But a significant gap still exists between capital investment and return on that investment. AI is risky, but these investments are not irrational. They are pricing the dream, and the long-term winners remain unclear.
by Nicholas Mitsakos | Artificial Intelligence, Book Chapter, Innovation, software, Technology, Writing and Podcasts
For the better part of three decades, enterprise software followed a remarkably stable economic logic. You built a product. You sold access to that product. You charged per seat. You expanded revenue by increasing the number of people required to operate the system. It was elegant, scalable, and wildly profitable. Now, it is breaking. It is the decoupling of software revenue from human labor. The industry continues to frame this moment as a competition between AI and software. That framing is wrong. AI is not competing with software. It is becoming the operating system for work.
by Nicholas Mitsakos | Artificial Intelligence, Biotechnology, Book Chapter, drug discovery, energy, Green Energy, Innovation, Robotics, Technology, Writing and Podcasts
As the era of artificial intelligence is here, it’s easy to fall into the trap of despair and fear over the loss of control and the worry that artificial intelligence is about to unleash killer robots and enslave humanity. Either that, or Artificial intelligence will improve lives, expand access to education, advance healthcare, and advance climate science, among many other improvements. Luckily, AI’s benefits greatly outweigh its costs. Nothing is free, and everything comes with a price (there are always both sides to the ledger), but the extraordinary benefits that artificial intelligence can unleash are worth the effort. It would be a mistake to slow down, pause, or restrict research, development, and AI applications. AI will not destroy the world — and it is more likely to save it.
by Nicholas Mitsakos | Artificial Intelligence, Book Chapter, Innovation, Physical Intelligence, Technology, Transformative businesses, Writing and Podcasts
Robotics and related technology are ready for deployment, but the industry hasn’t crossed the threshold into full-scale production. Computational breakthroughs in stunning demonstrations are attention-grabbing, but the realities of industry quickly take over. There is a gap between robotics and artificial intelligence (“physical intelligence”) as it transitions from potential to hardware delivery in a demanding industrial setting. Physical AI and its integration into robotics may become one of the largest markets in history. But it is an industrial problem whose solution is not on a software timeline. In other words, its commercial deployment requires much more systems integration and real-world constraints than a software slide deck contemplates.
by Nicholas Mitsakos | Book, Investment Principles, irrationality, Technology, Transformative businesses, uncertainty, Writing and Podcasts
The uncomfortable truth is that the world is becoming more unstable, uncertain, and less predictable. Geopolitical fragmentation, fiscal and monetary distortions, energy transitions amid increasing bottlenecks, rare-earth competition, and technological disruption from artificial intelligence, robotics, and other innovations upend traditional thinking that assumes linearity, stability, and normal distributions.
Ubiquitous access to information means insight is more about filtering the signal from the noise and understanding interconnections among previously unrelated factors.
In other words, better thinking.
by Nicholas Mitsakos | Artificial Intelligence, Book Chapter, Economy, Innovation, Investment Principles, Technology, Transformative businesses, Writing and Podcasts
Artificial intelligence is no longer an engineering discipline. It is an economic one. The companies that win will be those that understand: Ambition requires capital. Capital requires compute. Compute requires global-scale infrastructure. Infrastructure requires a strategy measured in gigawatts and billions, not teams and timelines. This is not just the future of technology — it is the new architecture of global competition.
by Nicholas Mitsakos | Book Chapter, China, Globalization, Innovation, Public Policy, Science, Technology, Transformative businesses, Writing and Podcasts
The US’s competitive advantage was developing the world’s best educational system, initiating innovative research and development, welcoming the world’s best students to thrive in an unrestricted environment, and accessing unique forms of capital for entrepreneurial ideas. The unique environment that combined academia and entrepreneurship, as seen at places like Bell Labs and Fairchild Semiconductor, was the spark that ignited Silicon Valley, the Life Sciences Corridor, the Innovation District, and the Research Triangle, among others, creating an unprecedented entrepreneurial environment and economic engine. This drove economic growth, disruptive innovation, and greater prosperity. This created a virtuous cycle that enhanced national wealth and economic opportunity. We are undermining all these advantages. The next 20 years will be defined by choices made today. Talent, energy, and technological innovation build the foundation for prosperity. Undermine them, and you guarantee decline.
