The book, verifiableEvidence bank
The numbers behind the book
Take nothing on faith. Every key figure in the book is here with its original source and link, so you can verify it yourself.
- Case study95%
2024en vigor (UE 2024/1689)
The EU AI Act enters into force (2024)
On 1 August 2024 the EU AI Act (Regulation 2024/1689) entered into force — the world's first comprehensive legal framework for artificial intelligence. Even so, most of its provisions only apply from 2026: technology runs ahead of the institutions trying to regulate it.
- Data point92%
40% empleo mundial
IMF: 40% of global jobs are exposed to AI
According to the IMF (January 2024), about 40% of global employment is exposed to AI — up to 60% in advanced economies, falling to 40% in emerging markets and 26% in low-income countries. The technology gap between economies also measures the inequality in their capacity to respond.
- Case study92%
2007año (redefine industria)
The iPhone redefines an entire industry (2007)
On 9 January 2007 Apple unveiled the iPhone as a device combining a phone, an iPod and an internet browser. It did not improve the existing phone — it redefined the category and reshuffled the whole industry. This is the exponential-company pattern: it does not compete better, it changes the rules.
- Data point90%
57% aumentar (vs 43%)
Today AI augments more than it automates: 57% vs. 43%
Analysing millions of real Claude conversations, the Anthropic Economic Index found that about 57% of usage is augmentation (collaborating with the person) and 43% automation (fully delegating the task). The nuance matters: “done for you” is, for now, the exception rather than the rule.
- Data point90%
44% competencias a 2027
44% of core skills will be disrupted within five years
In 2023 the WEF estimated that 44% of workers' core skills will be disrupted by 2027 (up from a projected 35% in 2016). The time horizon of change is measured in years, not decades — navigating it demands continuous reskilling.
- Case study90%
14% prod. (+34% novatos)
AI in customer support: +14% productivity, +34% for novices
Across 5,179 support agents, the Brynjolfsson–Li–Raymond study (NBER) found a 14% average productivity gain from introducing a generative-AI assistant, with a 34% improvement for novice workers and almost none for experts. AI spreads best practice and compresses the learning curve.
- Data point90%
100M usuarios (~2 meses)
ChatGPT reaches 100 million users in about 2 months
By a UBS estimate, ChatGPT hit 100 million monthly active users in January 2023, roughly two months after launch — the fastest ramp for a consumer app on record (TikTok took ~9 months; Instagram ~30). It is the canonical illustration of crossing into the exponential moment.
- Case study90%
55,8% más rápido
With GitHub Copilot, coding 55.8% faster
In a controlled GitHub experiment, the Copilot group completed the task (a JavaScript HTTP server) 55.8% faster than the control group: 1h11 vs 2h41. This is human intelligence amplified, not replaced — the person stays in charge, the machine accelerates.
- Case study90%
5,44mil M EUR (a Microsoft)
Nokia sells its phone business to Microsoft for €5.44 billion
The world's leading phone maker until 2007, Nokia failed to answer the iPhone and in September 2013 sold its devices division to Microsoft for €5.44 billion (€3.79bn for devices + €1.65bn for patents; about $7 billion). Its global smartphone share collapsed from ~50% in 2007 to under 5% by 2013. Yesterday's leader can become a cautionary tale within a few years.
- Data point88%
170 / 92M empleos (neto +78M)
By 2030: 170 million jobs created, 92 million displaced
The WEF Future of Jobs 2025 projects 170 million new jobs created and 92 million displaced by 2030 — a net +78 million — with 39% of core skills set to change. Not the end of work but its redefinition: creating, working, learning and governing under new rules.
- Data point88%
25% prima salarial IA
AI skills command up to a 25% wage premium
PwC's 2024 Global AI Jobs Barometer, analysing over 500 million job ads across 15 countries, found that roles requiring AI skills carry a wage premium of up to 25% (US average), and that productivity grew nearly five times faster (4.8x) in the sectors most exposed to AI. The skills race already has a market price.
- Case study88%
2023año (prohibición interna)
Samsung bans ChatGPT for staff after a data leak
In May 2023 Samsung banned employees from using generative-AI tools after discovering sensitive internal source code had been uploaded to ChatGPT. The trust challenge is concrete: what you share with an external model can fall out of your control.
- Data point88%
6 de cada 10necesitan formación 2027
6 in 10 workers will need training before 2027
The WEF estimates six in ten workers will require additional training before 2027, yet only half currently have access to adequate training opportunities. Anticipating — training before the need turns urgent — is the difference between getting ahead and merely reacting.
- Data point88%
30 → 9 → 2meses a 100M usuarios
Time-to-100-million-users keeps collapsing: 30 → 9 → 2 months
Instagram took about 30 months to reach 100 million users; TikTok about 9; ChatGPT just 2 (UBS). The same milestone is reached in ever less time — the pattern the three-T paradigm sets out to capture: acceleration is not linear, it accelerates on itself.
- Case study85%
100M usuarios mensuales
Duolingo passes 100 million monthly learners
Duolingo ended 2023 with 88.4 million monthly active users and crossed 100 million soon after, democratising language learning through gamification and, later, AI. An example of the exponential person at scale: tools that once needed an academy now fit on anyone's phone.
- Data point85%
2,6–4,4billones USD/año
Generative AI could add $2.6–$4.4 trillion per year
Across 63 use cases, McKinsey estimates generative AI could add between $2.6 and $4.4 trillion in annual value to the global economy. It puts a monetary scale on the forces of change this chapter describes — not an abstract promise but a measurable economic magnitude.
- Data point85%
300M empleos · +7% PIB
Generative AI could expose 300 million jobs and raise GDP by 7%
Goldman Sachs estimated generative AI could automate the equivalent of 300 million full-time jobs worldwide while raising global GDP by around 7% over a decade. Two faces of the same force: displacement and growth.
- Case study85%
2012año de la quiebra
Kodak invented the digital camera in 1975 and went bankrupt in 2012
Kodak engineer Steven Sasson built the first digital camera in 1975, but the company protected its film business rather than cannibalise it. In January 2012 it filed for Chapter 11 bankruptcy. The adaptation crisis is not failing to see change — it is seeing it and not daring to embrace it.
- Case study85%
2010año de la quiebra
Blockbuster files for bankruptcy in 2010, beaten by Netflix
Blockbuster operated around 9,000 stores and in 2000 turned down buying Netflix for $50 million. In September 2010 it filed for Chapter 11 bankruptcy: change was already happening for those who refused to see it. The textbook case of business-model disruption.
- Case study80%
99% servicios públicos online
Estonia delivers 99% of its public services online
Estonia provides 99% of its public services digitally on top of digital ID and the X-Road infrastructure; with e-divorce (Dec 2024) it reached effectively 100%. The government estimates digital signatures save the equivalent of 2% of GDP — roughly 800 years of working time — per year. An exponential society reorganises the state, not merely digitises paperwork.