The Growing Interest in AI and the Future of Work

Books about artificial intelligence (AI) in the workforce are rapidly gaining popularity. While AI is reshaping industries and redefining traditional jobs, such as automating routine tasks and decision-making, business leaders are exploring how technology is transforming the workplace.

Readers are turning to books that explain these changes and offer practical advice on adapting skills, embracing innovation, and preparing for the future. Authors are also examining critical questions about job security and the human side of technology. As AI continues to evolve, these books provide valuable insights into navigating a rapidly changing professional world.

🤖 AI Book Spotlight

1. The Delivery Gap:

Why AI Adoption Fails and How Engineering Leaders Fix It

By Brenn Hill

Synopsis

Your team is writing more code than ever. Your incident rate is climbing too. Pull request volume is up. Review quality is down. Senior engineers are spending their weeks proofreading AI-generated output instead of designing systems. The dashboards say productivity is up. The incident rate says otherwise. (Amazon, 2026)

This is the delivery gap: the growing distance between how fast your team can generate code and how fast your organization can verify that code is correct, secure, and aligned with what you intended to build.

The Delivery Gap shows you:

• The Verification Triangle — Metrics that tell you whether your verification is keeping pace with your generation velocity.
• Six-tier quality gates — From static analysis through behavioral monitoring, each catching failure classes the tier below cannot see.
• The Capability Ladder — Seven levels of organizational readiness, from experimentation through full agentic operations.
• Eight decisions — An implementation sequence with completion criteria, starting from wherever you are.
• The Conversation — Six questions your leadership will ask about AI governance, and how to answer them with data.
• Case studies — What Stripe, Spotify, Webflow, Dropbox, and Airbnb actually built (not what vendors claim).

This is not a book about prompting. It’s a book about what happens after the code is generated.

Target Audience: CTOs, VPs of Engineering, Directors, and Engineering Managers responsible for AI adoption.

About the Author

Brenn Hill is a software engineer, engineering leader, and author based in Berlin. He has spent nearly two decades building software and leading engineering teams across America, Europe, and Asia, working across front-end, back-end, DevOps, data science, and data engineering.

He now teaches AI-augmented development practices to engineering teams and builds open-source tools and management frameworks for software delivery in the age of AI. The Delivery Gap is his second book.

---

2. Finding Direction in the Age of AI:

Finding Clarity, Leadership and Human Connection in a World Moving at Machine Speed

By Michael Earls

Synopsis

The tools keep getting faster. The questions keep getting harder.

Cloud computing reshaped how organizations build. Artificial intelligence is now rewriting how decisions get made, how work gets done, and how quickly a career can become unrecognizable. (Amazon, 2026)

Most leaders have figured out how to keep up. Far fewer can tell you where they are going.

Finding Direction in the Age of AI is a short, direct book about staying human, and staying oriented, while the ground moves. It’s written by someone who has spent more than two decades inside the change: infrastructure engineering, cloud transformation, and enterprise technology leadership.

The questions this book takes seriously:

• How do you hold on to clarity when information moves at machine speed?
• What happens to culture and trust when work becomes fully digital?
• Can AI raise output without hollowing out the parts of work that made it worth doing?
• What should a leader actually be good at, now that the machine is good at so much?

Read this if:

• You lead a team through AI adoption and are tired of the hype on both sides.
• You are a technologist wondering which of your skills still compound.
• You want a clear-eyed hour of thinking, not a 400-page survey of the field.

It’s a small book for a reason, it’s the kind of book you finish on a flight and think about for a month. Because the real challenge of the AI era is not keeping up with the speed. It’s remembering where we were trying to go.

About the Author

Michael Earls is a technology leader and writer with more than twenty years across infrastructure, cloud, and AI transformation. He’s also the author of Wired for Purpose and The Digital Compass.

Michael has spent more than twenty years inside the change he writes about, and he writes for the people doing the work, not the people describing it from outside.