TAYLECT - AI Strategy and Leadership

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Dwayne Taylor

If AI Does the Junior Work, Who Becomes Senior?

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?

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?

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.

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?

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.

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.

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.