Part 0: Why I Want You to Read This Book
Reading
Part 0: Why I Want You to Read This Book
7 min read
Section01
Introduction
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?
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.
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.
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
How to Read This Book
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
Map of the Book: The Architecture of the Compass
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.
The book map
How chapters, concepts, and tools connect — the navigation plan of Exponential Times.
LiveThis is already happening
Facts from the present that illuminate or challenge this chapter's thesis.
Google DeepMindJul 21, 2025Supports the thesis
Gemini with Deep Think Reaches Gold-Medal Standard at IMO 2025
In one year, DeepMind moves from silver to gold: the model solves problems in natural language, without Lean formalization, within the competition's official time limit.
Editorial take
The delta is 12 months. For readers: this is exactly the pace the book describes — capabilities that last year were "near-human" move in one cycle to "top human." If your roadmap has a 3-year horizon, reconsider it.
OpenAIAug 7, 2025Supports the thesis
OpenAI Launches GPT-5 with Leaps in Coding, Math, and Reasoning
GPT-5 replaces GPT-4o as ChatGPT's default model. It shifts toward an 'intelligence classes' system that automatically routes each query to the appropriate sub-model, and reduces hallucinations by around 45% with search enabled.
Editorial take
For readers: the news is not the model, it is the cadence. GPT-5 arrives less than 18 months after GPT-4, and in the months that followed, OpenAI released 5.2, 5.4-Cyber, and 5.5. If your AI strategy is built around 'the best model on the market,' it was outdated before you got it approved.
NvidiaMar 18, 2024Supports the thesis
Nvidia Announces Blackwell GB200 Platform — 25× Lower Cost and Energy Than Hopper
Blackwell delivers 30× more LLM inference performance than the H100, at 25× lower energy consumption and cost. Adopted by AWS, Google Cloud, Azure, Oracle, Cisco, Dell, and Supermicro since its announcement.
Editorial take
For readers: The exponential curve in cost-per-inference is now firmly established. Any business model built on the premise that 'AI is expensive' has a shelf life of roughly 18 months. Recalculate your unit economics assuming that the cost per query falls by an order of magnitude with each generation.
OpenAIJan 21, 2025Adds evidence
OpenAI, Oracle, SoftBank and MGX Announce Stargate — $500B in AI Infrastructure Across the U.S.
A joint venture with an immediate commitment of $100B and $500B over four years to build AI data centers on American soil. Trump announced the project on his second day in office.
Editorial take
AI has become critical infrastructure on par with electricity or telecommunications. For readers: when a country commits half a trillion dollars over four years, it is no longer a bet — it is a military-economic race with a defense-scale budget.
NatureMay 8, 2024Adds evidence
AlphaFold 3 Predicts Joint Structure of Proteins, DNA, RNA, and Ligands
Google DeepMind and Isomorphic Labs publish in Nature a diffusion architecture that dramatically improves prediction of interactions among biomolecules. AlphaFold Server opens free access for non-commercial research.
Editorial take
Computational chemistry crosses a threshold: it no longer merely suggests candidates — it constructs the complete molecular complex. For readers: the drug discovery cycle is set to compress from years to months. Models are moving from oracles to laboratory colleagues.
NvidiaMar 18, 2025Adds evidence
Nvidia Unveils Blackwell Ultra GB300 NVL72 with 1.5× More Performance Than GB200
Announced at GTC 2025. The new generation, aimed at reasoning inference, multiplies potential AI factory revenue by 50 compared to Hopper. Deployment expected by late 2025.
Editorial take
12 months between Blackwell and Blackwell Ultra. For readers: the cadence is now annual, and if you bought hardware a year ago, it has just dropped to the second tier. AI CapEx has a shorter useful life than accounting models suggest.
Lawrence Livermore National LaboratoryOct 15, 2025Adds evidence
NIF Achieves Fusion Ignition for Tenth Time with 8.6 MJ Yield and Gain of 4.13
Lawrence Livermore has confirmed its tenth ignition. The April 2025 experiment delivered 8.6 MJ from 2.08 MJ of laser input, a gain of 4.13 and a new all-time record. The October 2025 shot produced 3.5 MJ. The program is now entering an industrial optimization phase.
Editorial take
Fusion is moving from science fiction to yield engineering. For readers: once something becomes repeatable, the timeline is set by capital, not by physics. The conversation shifts from 'if' to 'when on the grid.'
GoogleNov 18, 2025Adds evidence
Google Launches Gemini 3 Pro and Deep Think, Replacing 2.5 and Opening Advanced Reasoning
Gemini 3 Pro and the Deep Think variant succeed Gemini 2.5. Deep Think reached gold-medal level at the 2025 International Mathematical Olympiad, a capability previously reserved for the world's top human performers.
Editorial take
'Elite human' mathematical reasoning is no longer exclusive. For readers: if your competitive advantage rested on the complexity of your analysis, be prepared. The frontier is not moving toward creativity or ethics — it is moving there.
Live data from the observatory
Figures from the editorial observatory that anchor this chapter. Each number declares its source, confidence and a link to the full dashboard.
Global jobs exposed to AI
~40%
Unchanged since the printed edition · checked May 30, 2026
Up to ~60% in advanced economies, per the IMF.
Source · IMFHigh confidence
Workers in occupations exposed to GenAI
1 in 4
Unchanged since the printed edition · checked May 30, 2026
ILO 2025 — most will be transformed rather than disappear.
Source · ILOHigh confidence
Mentor
Mentor — assisted reading
Ask the mentor about the demo. It only answers from what this chapter says.
Start here:
FormatsBuy
Choose the format that best fits you
Each format has its place. The print book to underline and revisit. The eBook to carry always. The web app to live the interactive edition.
Print book
Amazon
Print edition via Amazon. The full reading experience: underline, annotate, return to the pages that matter.
Buy on AmazoneBook
Kindle
Kindle edition. Synced with your library, ready to highlight and export notes.
Buy on KindleeBook
Google Play Books
Read on Android, web, or any device connected to your Google account.
Coming soonNotify meWeb app · Interactive book
Interactive book
The interactive layer: navigable index, infographics, tools, mentor, and news that update the book as reality shifts.
Open interactive bookPart 0: Why I Want You to Read This Book