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Section01
If you are reading these pages, you probably share the feeling I encounter every week in the executive committees I work with, in the team meetings I join, and in the personal conversations about this topic that I genuinely enjoy: the feeling of chasing a train that keeps accelerating.
You know artificial intelligence is changing your industry, your work, and the rules under which you operate. You have read articles, watched demos, listened to the evangelists and the alarmists. And yet, when you sit down on Monday morning to decide what to do this week, the question remains the same:
Where do I start?
What is urgent, and what can wait?
How do you distinguish what truly matters from what is just noise, when everything sounds equally urgent?
We are living through a unique moment in history. This is not the first time a technological disruption has redefined our reality. But it may be the first time it is doing so at a speed that exceeds our natural ability to adapt. We have never been so connected, and at the same time we have never felt so uncertain about what comes next.
We have more knowledge and more tools at our fingertips than any generation before us, and yet we also have the constant feeling of being one step behind. That paradox is not an anomaly. It is the specific texture of living in exponential times. Understanding it is the first step toward navigating it.
I have a particular vantage point, and I intend to use it to write this book with you. From the role I occupy, leading AI transformation in a large global technology corporation, I see every week what works and what does not in organizations of every size and across every sector.
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The living layer: navigable index, infographics, tools, mentor, and news that update the book as reality shifts.
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Facts from the present that illuminate or challenge this chapter's thesis.
Google DeepMindJul 21, 2025Supports the thesis
En un año, DeepMind pasa de plata a oro: el modelo resuelve los problemas en lenguaje natural, sin formalización Lean, dentro del límite de tiempo oficial de la competición.
Editorial take
El delta es de 12 meses. Para los lectores: este es exactamente el ritmo del que habla el libro — capacidades que el año pasado eran "casi humanas" pasan en un curso a "top humano". Si tu hoja de ruta tiene horizonte de 3 años, replantea.
OpenAIAug 7, 2025Supports the thesis
Mentor
Ask the mentor about the demo. It only answers from what this chapter says.
Start here:
I see the transformations that scale and the ones that stall. I see the companies that are gaining ground and the ones that are losing it month after month without even realizing it.
And I also see the other side of the table. As a member of venture capital investment committees and as an advisor to boards of directors, I observe how today’s strategic bets translate into results two, three, or five years later. That double perspective — the operator who executes and the investor who decides what deserves funding — is what animates this book.
What you have in your hands is not a book of predictions, nor a technical guide. It is a system for understanding and acting in exponential times.
The book is built around concrete frameworks that we will discover together. The first part diagnoses the exponential curve and the singular nature of AI through the paradigm of the Three T’s. The second explores, sector by sector, how the economy is being rewritten. The third looks at the social and institutional impact. The fourth names the brakes that explain why adaptation does not happen by itself, even when we understand what is at stake. And the fifth presents ExOS — the Exponential Operating System: the framework I have been building from practice to operate in this context, applied to companies, individuals, and society.
I am not asking you to memorize it now. I am asking you to recognize it when it appears.
This is not a book for understanding AI as a technology. It is a book for understanding what AI does to time, to companies, to work, to institutions, and to the way we make decisions.
The promise of this book is simple: by the end, I do not want you to have more opinions about AI. I want you to have better judgment. Better judgment to distinguish noise from what matters. Better judgment to recognize the patterns that repeat behind every headline. Better judgment to understand why some people, companies, and institutions adapt while others fall behind.
That is why this book should not be read as a catalog of impacts. It should be read as a training of the eye.
This book is not written to give you more work. It is written to help you ask better questions. Because in exponential times, the problem is not a lack of information. It is the difficulty of knowing what to look at, what to ignore, and when to move.
If you make decisions that matter — about your career, your company, how you educate your children, where you invest, or what you vote for — this book is written for you. If you lead a team or an organization, you will find frameworks here to help you decide better. If you are a professional, founder, or investor, you will find patterns in what is changing beneath your feet.
And if you hold none of those responsibilities but are simply curious about understanding the world that is coming, it is for you too. Because exponential transformation is not a matter for executives alone. It cuts across all of society.
Let me underline something important before we begin: you do not need to be a computer genius to navigate this world. For years, we were told that we had to learn to code, that mastering the latest tool was the key to the future. The reality is both simpler and deeper.
One of the AI levers with the greatest impact is precisely its interface: your phone, your voice, simple applications. What truly matters is not knowing how to program machines, but learning how to reprogram ourselves to live in a world that constantly reinvents itself.
That, ultimately, is the purpose of this book.
You will also have access to an online extension designed to keep it alive. Not because you need more content to understand what you are about to read, but because exponential times do not stop when a page is printed.
The rule is clear: the book contains the compass; the online extension contains the workshop. The book keeps the theses, the narrative, the frameworks, the main examples, and the judgment. The online extension is organized into four modules: ExOS diagnostics for individuals and companies; dashboards, frameworks, and action templates to install weekly rituals, review portfolios, and evaluate AI pilots; updated cases after the editorial close; and learning resources with readings, tools, prompts, and guides.
You can read this book from beginning to end without ever entering that digital layer. Nothing essential is missing. But if, afterwards, you want to turn perspective into practice, the workshop will be there.
I want you to see this book as a companion for the journey, one that will evolve over time. Its purpose is to remind you, from the very first page, that inside the initial vertigo there is an extraordinary opportunity; that behind every change that creates uncertainty there is also a motivating challenge; and that you are part of this great story still being written.
We begin this journey with realistic optimism, with our feet on the ground and our eyes on the horizon. The journey into the heart of exponential times has already begun. And with the right orientation, it is worth taking.
Section02
This book can be read from beginning to end, and that remains the best way to travel through it. But it is also written for different audiences: executives, professionals, students, parents, teachers, and curious citizens. If you come with a specific question, you can enter through one of these routes without losing the main thread.
Full route: read the book from beginning to end if you want to understand the phenomenon, its impacts, and the full response system.
Executive route: Chapters 1, 2, 4, 6, 7, 13, 16, and 17. This is the route for those who decide strategy, resources, priorities, and governance.
Professional / individual route: Chapters 1, 3, 8, 10, 12, 14, and 18. This is the route for those who want to understand how their work, learning, and career are changing.
Social / family / education route: Chapters 10, 11, 15, and 19. This is the route for those looking at the impact on children, students, citizens, institutions, and coexistence.
Investor / entrepreneur route: Chapters 1, 4, 5, 7, 13, and 17. This is the route for those who want to read patterns of disruption, timing, barriers to entry, and new business models.
The idea is simple: every route should lead you to the same point — understanding the moment we are living through more clearly, and deciding earlier where you want to act.
The route changes depending on your need. The compass is the same.
Section03
The following visual map summarizes the architecture of the compass: diagnosis, economic impact, social impact, challenge, and opportunity. It is not meant to replace the reading. It is meant to give you orientation before you enter the curve.
The infographics in the book serve the same purpose: they act as memory anchors. The curve and the gap organize the diagnosis; the Three T’s and the Three A’s fix the patterns of impact; the four redefinitions and the four brakes explain the social tension; and ExOS appears as the response system.
They are not decoration. They are the visual way of remembering where you are in the journey.
GPT-5 reemplaza a GPT-4o como modelo por defecto de ChatGPT. Cambia hacia un sistema de "clases de inteligencia" que enruta automáticamente cada consulta al sub-modelo apropiado, y reduce alucinaciones en torno al 45% con búsqueda activada.
Editorial take
Para los lectores: la noticia no es el modelo, es la cadencia. GPT-5 llega menos de 18 meses después de GPT-4 y, en los meses siguientes, OpenAI ha publicado 5.2, 5.4-Cyber y 5.5. Si tu plan de IA se basa en "el mejor modelo del mercado", lo perdiste antes de aprobarlo.
NvidiaMar 18, 2024Supports the thesis
Blackwell ofrece 30× más rendimiento en inferencia LLM frente a H100, con consumo y coste 25× menores. Adoptada por AWS, Google Cloud, Azure, Oracle, Cisco, Dell y Supermicro desde su anuncio.
Editorial take
La curva exponencial del coste por inferencia se consolida. Para los lectores: cualquier modelo de negocio basado en "la IA es cara" caduca cada 18 meses. Recalcula tu unit economics asumiendo que el coste por consulta cae un orden de magnitud cada generación.
OpenAIJan 21, 2025Adds evidence
Joint venture con compromiso de 100.000 M$ inmediatos y 500.000 M$ a cuatro años para construir centros de datos AI en suelo estadounidense. Trump anuncia el proyecto en su segundo día de mandato.
Editorial take
La IA se ha vuelto infraestructura crítica al nivel de la electricidad o las telecomunicaciones. Para los lectores: cuando un país compromete medio billón de dólares en cuatro años, es porque ya no es una apuesta — es una carrera militar-económica con presupuesto de defensa.
NatureMay 8, 2024Adds evidence
Google DeepMind e Isomorphic Labs publican en Nature una arquitectura de difusión que mejora drásticamente la predicción de interacciones entre biomoléculas. AlphaFold Server abre acceso gratuito para investigación no comercial.
Editorial take
La química computacional cruza una frontera: ya no "sugiere candidatos", construye el complejo molecular completo. Para los lectores: el ciclo del descubrimiento de fármacos se va a comprimir de años a meses. Los modelos pasan de oráculos a colegas de laboratorio.
NvidiaMar 18, 2025Adds evidence
Anunciado en GTC 2025. La nueva generación, orientada a inferencia de razonamiento, multiplica por 50 los ingresos potenciales de una AI factory frente a Hopper. Despliegue previsto a finales de 2025.
Editorial take
12 meses entre Blackwell y Blackwell Ultra. Para los lectores: la cadencia es ya anual y, si compraste hace un año, tu hardware acaba de bajar al segundo escalón. Los CapEx de IA tienen una vida útil más corta de lo que dicen los modelos contables.
Lawrence Livermore National LaboratoryOct 15, 2025Adds evidence
Lawrence Livermore confirma su décima ignición. El experimento de abril 2025 entregó 8,6 MJ desde 2,08 MJ de láser (ganancia 4,13), récord histórico. El de octubre 2025 produjo 3,5 MJ. El programa entra en fase de optimización industrial.
Editorial take
La fusión deja de ser ciencia ficción y pasa a ser ingeniería de yield. Para los lectores: una vez que algo se vuelve repetible, el calendario lo pone el capital, no la física. La conversación cambia de "si" a "cuándo en la red".
GoogleNov 18, 2025Adds evidence
Gemini 3 Pro y la variante Deep Think suceden a Gemini 2.5. Deep Think alcanzó nivel de medalla de oro en la Olimpiada Internacional de Matemáticas 2025, una capacidad que antes estaba reservada a humanos top mundial.
Editorial take
El razonamiento matemático "de élite humana" deja de ser exclusivo. Para los lectores: si tu ventaja competitiva descansaba en la complejidad de tu análisis, prepárate. La frontera no se mueve hacia la creatividad o la ética, se mueve hacia ahí.