Latest

If AI Does the Junior Work, Who Becomes Senior?

Early evidence suggests AI is hitting the labour market through fewer entry-level hires, not layoffs. Taylect argues leaders must separate which junior tasks AI should absorb from which junior development experiences must survive, or risk trading their future leadership pipeline for today's savings.

Can AI Go GOD MODE?

As AI agents gain the ability to act, not just answer, Taylect argues the real risk isn't a superintelligent machine but leaders handing over access and autonomy one convenient permission at a time. It lays out three decisions leaders need to make now about access, execution, and accountability.

What should students still be taught to do when AI can do their homework?

AI is reshaping what students can outsource to a machine, and schools need explicit rules for which cognitive work to protect. Research shows AI helps performance but can quietly erode capability, making "cognitive governance" a leadership decision as much as an educational one.

The AI Honeymoon Is Over. What Comes Next Will Separate Adoption From Advantage.

Enterprise AI is moving from an experimentation phase into an accountability phase. Taylect argues that the next competitive advantage belongs to organizations that build the measurement, governance, and human capability needed to prove AI's business value, not just adopt it faster.

The AI Bill Arrived. Can You Prove the Return?

As AI spending scales across the enterprise, most organizations still measure usage rather than value. Taylect argues that AI cost management should shift from minimizing spend to identifying which workflows justify spending more, and building the governance to answer that question with evidence.

AI Strategy Has A New Control Point.

As open-weight AI models close the gap with closed frontier systems, the strategic question shifts from which model to choose to where control over AI should live. Leaders need a framework for deciding what to own, outsource, and keep under organizational control.

AI Agents Don't Need More Intelligence. They Need Clearer Authority.

Recent AI security incidents at OpenAI and Anthropic expose a governance gap: organizations know what AI can do, but not what it's authorized to do. The leadership task now is defining clear authority boundaries for agentic AI before deployment, not building more capable models.

Microsoft Isn't Building Another AI Assistant. It's Building the Enterprise AI Operating System.

Microsoft's latest Copilot updates aren't just new features they signal a shift from choosing the best AI model to building an enterprise AI operating layer. The competitive advantage is moving from model selection to organizational capability and governance.

New Research Studied 500 Organizations Deploying AI. Only 18% Won. Here Is What Separated Them.

New research on 500 organizations found a 72-point gap between AI transformation and AI impact. The 18% who won didn't have better tools — they defined what success looked like before deployment. Most measure deflection. Winners measure value created.

Football Solved an AI Leadership Problem Before Most Organizations Did.

VAR promised better decisions in football. Instead it eroded referee judgment through three quiet stages: decision support, decision expectation, decision dependence. Enterprise AI is following the same path — and most leaders haven't defined where it stops.

Your Organization Has a New Employee. Nobody Wrote the Job Description.

Every AI operating in your organization has joined the org chart — but almost none of them have a job description. The Taylect AI Employee Framework treats every AI system like a new hire: defined role, access controls, and a named human accountable for its outputs.

AI Isn't Replacing Communication. It's Rewarding It.

AI doesn't replace communication, critical thinking, and curiosity — it rewards them. Introducing the Taylect 3C Framework for individual capability in an AI-enabled world.

88% Use AI. Only 39% See Meaningful Impact. The Missing Piece Is Leadership.

Microsoft's own 2026 research shows 88% of workers use AI regularly, but only 39% see measurable business impact. That 49-point gap is a leadership failure, not a tools problem.

AI Adoption Is Rising. AI Understanding Is Not.

Ten editions of Taylect later, the real story isn't AI strategy. It's the widening gap between AI adoption and AI understanding.