Wiley & IEEE

Kevin Cai 2025 8 min read

What does it actually mean to be a great engineer in the Age of Intelligence?

Most engineering books teach you what to do. After thirty years in hardware and software engineering — from signal integrity to AI-enabled systems — I became convinced the more important question is why, and whether the underlying principles still hold as AI reshapes everything around us.

That conviction became a book. Here’s what’s inside — including a free sample of Chapter 1, and a quick way to find out which part speaks most to you.

Six things this book will change about how you engineer

Principles don’t expire — but you need to know which ones +

Ch. 3 — Engineering Principles
AI changes tools and workflows. What it doesn’t change is the underlying logic of why good engineering works. The book maps 21 durable principles — from First Principles and Conservative Design to Optimization and Continuous Improvement. Understanding the why behind decisions is what separates engineers who thrive through disruption from those who don’t.

Methods and approaches are the bridge between principle and practice +

Ch. 2 & 4 — Methods & Approaches
There’s a crucial difference between knowing a principle and knowing how to apply it. The book maps eight engineering methods — mathematical, experimental, data-driven, chain-of-thought, and more — alongside thirteen concrete approaches including Prototyping, Staging, Validating, and Spectrum Limiting.

Hardware and software are no longer separate disciplines +

Ch. 5 — Engineering Applications
Smartphones, electric vehicles, and humanoid robots are unified systems where the old distinction barely holds. This chapter addresses hardware and software together, and why hardware-software co-design is now a core competency rather than a niche skill.

Engineering carries a social responsibility AI makes unavoidable +

Ch. 6 — Non-Engineering Applications
Since Asimov articulated the Three Laws of Robotics in 1942, engineers building autonomous systems have carried a responsibility beyond technical performance. Chapter 6 applies engineering’s rigor to social domains: survey design, policymaking, and institutional decision-making.

You need a framework for technologies that don’t exist yet +

Ch. 7 — Future Engineering Trends
Nine emerging technologies examined through four engineering pathways: foundation, integration, application, and synthesis. The goal is not to predict the future — it’s to give you the mental architecture to evaluate whatever comes next.

AI is a tool, not a replacement — but only if you understand the underlying engineering +

Throughout
The title says AI-Enabled, not AI-Replaced. Engineers most valuable in the years ahead are those who can direct AI, validate its outputs, and know when to override it. That requires the kind of judgment this book is designed to build.

Chapter 1 — free to read on Wiley

Chapter 1

Introduction: Engineering in the Age of Intelligence

From the pyramids to AI-enabled systems — how engineering’s epochs shaped its principles, and what the transition to the Age of Intelligence demands of engineers today.

What Chapter 1 covers

A glimpse inside

Engineering as a profession was formalized during the Industrial Revolution; however, people have engineered technological solutions long before then. Ancient achievements like the Great Pyramids and Roman aqueducts emerged from practical experience, with builders developing techniques scientists later codified into principles like energy conservation. Now, as AI reshapes computer science, we face the challenge of defining new engineering principles for systems that increasingly shape society.

Engineering has progressed through six distinct technological epochs, each developing its own principles and methodologies:

Pre-Industrial

Ancient times – 1760

Empirical methods and iterative refinement across diverse civilizations.

First Industrial Rev.

1760 – 1840

Mechanical principles and systematic design with steam power.

Second Industrial Rev.

1870 – 1914

Electrical theory and mass production techniques.

Digital Revolution

1950s – 1990s

Circuit design principles and binary logic; analog to digital.

Information Era

1980s – 2020s

Data as fundamental economic resource. Internet, distributed systems.

Age of Intelligence

2020s – present

Autonomous decision-making, neural networks, human-AI interaction.

“The future belongs to engineers who adapt to new paradigms rather than merely mastering specific technologies.”

Chapter 1 introduces the three-pillar framework at the heart of this book — Principles (the why), Methods (the how), and Approaches (the what) — and explains ten distinctive angles the book takes. It also defines key terms including Hardware, Software, Integrated Systems, Embedded Systems, the Age of Intelligence, and the important distinction between the Age of Intelligence and the coming AI Era.

Open access on Wiley

Wiley has made the full Chapter 1 — including the complete table of contents — freely available on their site. No account required.

Read Chapter 1 free on Wiley →

What does it actually mean to be a great engineer in the Age of Intelligence?

Introduction: Engineering in the Age of Intelligence

What Chapter 1 covers

A glimpse inside

Which engineer are you?

The AI-Enabled Engineer