The book is just under 200 pages. Below is the abbreviated table of contents of the book:

Chapter 1 – Disruption: the new AI and the old AI.

• AI was already here: everyday AI applications.
• The origin of modern AI.
• Why the exponential acceleration of the new AI.
• LLMs and their influence on the new AI.
• The new AI vs classic ML.
• AI’s ability surpasses humans in many tasks.
• Technical arrogance prevents recognizing disruption.
• Disruptive changes generated by AI: opportunities and threats.
• Highlighted consequences of AI disruption.
• The current AI boom is not without challenges.
• The GPU bottleneck.
• Ethical and legal challenges of AI.

Chapter 2 – How to introduce AI into your company.

• How will AI affect your industry?
• In which areas of your company will AI have the most impact?
• Main AI techniques used in business.
• Roles and jobs most affected by AI.
• How to introduce AI into your company: first steps.
• How to carry out an AI Transformation Plan in your company.
• Plan for gradual adoption of chatGPT and similar AI tools.
• Technical implications of adopting AI in your company.
• The AI team in your company.
• How to decide which AI projects to undertake in your company.
• Phases in the development of an AI project.
• Technical tools for an AI team.
• Introducing AI into your company: mistakes to avoid.

Chapter 3 – AI and Jobs: Opportunities and Threats.

• Will AI replace or change your job?
• Jobs most affected by AI.
• Some examples of how AI changes jobs.
• Main functional areas affected by AI in the company.
• New job opportunities related to AI.
• How is the new AI engineer trained?
• From classic ML to the new AI.
• The new way of programming: software 3.0.

Chapter 4 – Training for the new AI.

• How is the new AI engineer trained?
• Training for future AI engineers.
• A real case: the educational journey of a new AI engineer.
• List of courses taken by areas.
• The alternative: simplified and accelerated training.

Chapter 5 – Keys to creating an AI startup.

• The best opportunity of your life.
• AI startups vs internet startups.
• Opportunities for AI startups.
• Learn from the top 20 AI startups by investment volume.
• Learn from the main AI startups by categories.
• AI investment: a huge boom that is just beginning.
• AI startup accelerators.

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