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Insights & Analysis

On AI governance, workforce architecture,
and the future of human-AI work.

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April 14, 2026

Most AI Projects Fail

Most corporate AI projects fail not because the technology is broken, but because organizations deploy AI without redesigning how work gets done. This article introduces a four-actor framework (Humans, Machines, Software, AI) for decomposing business processes and matching each action to the right actor. It is essential reading for leaders seeking AI strategy consulting that delivers measurable results, not expensive pilots.

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April 8, 2026

We quantified AI's potential impact on Utah's workforce. The numbers don't match anyone's predictions.

AI's real impact on 1.6 million workers across 679 occupations and 20 real employers—and why it's not what you've been told.

Motion-blurred illustration of a figure at a microphone with amplifier waves radiating outward

March 30, 2026

The Amplification Mindset Changes What AI Is For

Most teams use AI to delegate faster. The overlooked advantage is amplification — extending the reach of human judgment rather than replacing it.

Four-panel collage showing team collaboration, AI logo, programming code, and robotic factory assembly line

March 20, 2026

The Four Actors in Hybrid AI Architecture

A framework for hybrid AI architecture: how Humans, Hardware, Software, and AI Agents must each be assigned to the right tasks for AI to succeed.

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March 16, 2026

What Anthropic's Deployment Data Reveals

Anthropic measured what Claude does across 756 occupations. Their data confirms deployment is bounded by organizational capability, not model capability.

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February 24, 2026

Stop Panning, Start Mining: AI Discipline

The Gold Rush rewarded infrastructure builders, not prospectors. AI success demands the same industrial discipline over speculative experimentation.

Kleiner Perkins Grit podcast thumbnail featuring Cresta CEO Ping Wu on AI customer support

February 20, 2026

The Hard Lessons of AI in the Call Center

What the race to automate customer care centers reveals about redesigning business processes to make the most of AI

Hand holding a pen over a business insurance policy with AI exclusion clauses highlighted in red

February 18, 2026

The AI Liability Squeeze

How the Insurance Industry Just Single-Handedly Redefined “Deployable AI” and What You Can Do About It

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February 12, 2026

Rentahuman.ai is a stunt, but the architecture is real

What a viral crypto experiment reveals about the gap between AI intelligence and physical action—and why that boundary defines real AI architecture.

Bar chart comparing AI technical exposure (60-80%) versus actual adoption (17%), titled The AI Adoption Gap

January 15, 2026

The Backstory Behind "The Distillation of Work"

Why we spent the holidays building a new way to measure AI's impact on work—and what we found mapping 18,898 tasks across 848 occupations.

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December 28, 2025

AI 2026: Moving Beyond the Hype Cycle

The first wave of AI excitement is fading as organizations hit real limits. Why 2026 is the year leaders confront what AI can and cannot do.

Blog header graphic with speaker and text reading Armadin Autonomous Defense is a Speed Trap

December 19, 2025

Speed Is a Trap: Autonomous AI Defense

Armadin promises autonomous cybersecurity, but removing humans from the loop breaks accountability before it breaks hackers. Why speed alone is a trap.

Black-and-white ink portrait illustrations of three men, drawn in a halftone editorial style

December 17, 2025

We've Crossed the AGI Humility Threshold

The AI industry’s tone has shifted from AGI hype to pragmatic adoption. What changed, why it matters, and what business leaders should do now.

Businesswoman holding a tablet and touching a futuristic holographic AI data interface

December 11, 2025

AI is Redefining Expertise

AI is compressing the gap between knowledge and judgment. How to manage the seam between the speed of AI and the irreplaceable wisdom of the SME.

BYU quarterback in blue uniform preparing to throw during a college football game against a team in red

December 4, 2025

8 Hours with AI and College Football Bias

A BYU fan tests five AI systems on college football rankings. The experiment reveals how bias shapes AI outputs—even when objectivity is the goal.

Stacked bar chart showing comfort levels with AI agent scenarios, highlighting low comfort with AI as manager

December 2, 2025

The Data is In: Nobody Wants an AI Boss

New research reveals the exact boundary where AI adoption turns into employee revolt. The revolt is about human agency, not the technology.

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November 26, 2025

Will AI Oversight Be the New Email Inbox Burnout?

Email promised to save time but created new burdens. AI oversight risks the same pattern unless leaders design verification into their workflows.

Three vehicles in a desert at sunset: a Subaru SUV, a Waymo autonomous vehicle, and a Tesla Cybertruck

November 13, 2025

A Tale of Three AI Cars

Three self-driving philosophies from Subaru, Waymo, and Tesla reveal what happens when AI gets confused—and why operating protocols matter more.

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October 30, 2025

AI Transformation: Strategy vs. Operations

AI transformation looks different from the boardroom than from the shop floor. Bridging the gap between strategic vision and operational reality.

Grayscale cartoon of five weary office workers sorting through stacks of document boxes late at night

October 23, 2025

The Knowledge Worker’s Last Refuge

AI is reshaping knowledge work, but some roles resist automation entirely. A dialogue reveals what judgment, accountability, and context AI can’t replace.

Cartoon of a man asking a robot to explain a project failure to the boss; the robot refuses

October 16, 2025

Refactoring Agents

What building agentic AI systems teaches about the overlap between software architecture and workforce design—and why the AI employee metaphor fails.

Four-quadrant diagram showing AI trust traps with a central sweet spot between over- and under-delegation

October 9, 2025

The Great Refactor

Since late 2022, AI has been rewriting the cognitive code of work. This is not automation—it is a structural refactoring of how knowledge work gets done.