Tag Archives: Featured- The Delivery Gap: Why AI Adoption Fails and How Engineering Leader Fix It by Brenn Hill

Featured- Finding Direction in the Age of AI: Finding Clarity, Leadership and Human Connection in a World Moving at Machine Speed by Michael Earls 

 

Title: Finding Direction in the Age of AI 

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

Author:  Michael Earls

Genre: Non-Fiction/Business/Business Strategy 

Format: eBook and Paperback

Released:   March, 2026

Synopsis:

Technology has never moved faster. Cloud computing reshaped how organizations build systems. Artificial intelligence is transforming how decisions are made, how information is created, and how work itself happens.

But as innovation accelerates, something important is becoming harder to find:

Direction.

In Finding Direction in the Age of AI, technology leader Michael Earls explores what it means to stay human in a world increasingly driven by machines.

Drawing from more than two decades working across infrastructure engineering, cloud transformation, and enterprise technology leadership, Michael reflects on the deeper questions technology forces us to ask:

• How do leaders maintain clarity when information moves at machine speed?

• What happens to culture when work becomes fully digital?

• Can artificial intelligence increase productivity without replacing the human elements that make work meaningful?

Blending stories from the evolution of datacenters, cloud platforms, and AI with reflections on leadership, curiosity, and connection, this book offers a thoughtful guide for navigating the modern technology landscape.

Because the real challenge of the AI era isn’t keeping up with speed.

It’s remembering where we’re trying to go.

Buying Links: https://www.amazon.com/dp/B0GRN2MBBR

 

Michael Earls is a technology and cloud transformation leader with more than two decades of experience helping organizations navigate major shifts in technology. His career has spanned infrastructure, cloud platforms, enterprise strategy, and leadership during some of the most transformative periods in modern computing.

Having worked across startups, enterprise technology companies, and global cloud platforms, Michael writes about the intersection of technology, leadership, and human connection in an era where innovation moves at machine speed.

Finding Direction in the Age of AI reflects on how leaders and organizations maintain clarity, culture, and purpose as artificial intelligence reshapes how we work.

 

Leave a comment

Filed under artificial-intelligence, Business, Featured Books, Non-fiction

Featured- The Delivery Gap: Why AI Adoption Fails and How Engineering Leaders Fix It by Brenn Hill

 

Title: The Delivery Gap

Subtitle:  Why AI Adoption Fails and How Engineering Leaders Fix It

Author:   Brenn Hill

Genre: Non-Fiction/Business/Management

Format: eBook and Paperback

Released:   April 10, 2026

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.

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.

Stripe ships 1,300+ AI-generated PRs per week — every one human-reviewed. Spotify’s LLM-as-judge vetoes 25% of agent sessions. These companies are not faster because they adopted AI. They are faster because they built the verification infrastructure to make AI output trustworthy.

The Delivery Gap shows you how to build that infrastructure.

Inside:

  • 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 is a book about what happens after the code is generated.

For CTOs, VPs of Engineering, Directors, and Engineering Managers responsible for AI adoption.

 

Buying Links: https://www.amazon.com/dp/B0GWRY2XH1

 

 

Leave a comment

Filed under artificial-intelligence, Business, Featured Books, Non-fiction