Why AI Is Being Used As An Excuse To Stop Investing In People

The Element of Inclusion

Why AI Is Being Used As An Excuse To Stop Investing In People

The Element of InclusionApr 28, 2026

Why It Matters

The discussion reveals how AI, instead of enhancing workplaces, can become a shortcut that erodes employee development and equity, threatening long‑term organizational health. For leaders and HR professionals, recognizing these pitfalls is crucial to ensure AI adoption supports, rather than replaces, human investment and inclusive growth.

Key Takeaways

  • AI becomes excuse to cut workforce investment.
  • Leaders set unrealistic productivity targets without evidence.
  • Broken tech and people infrastructure hinder AI adoption.
  • Inclusion suffers when AI replaces training and development.
  • Escape hatch mindset shifts responsibility from HR to AI.

Pulse Analysis

In this episode Dr. Jonathan exposes how AI is being weaponized as an "escape hatch" for private‑equity‑backed firms that already pressure leaders to do more with fewer people. An HR executive from a 7,000‑employee company admits the technology is used to justify withdrawing training, coaching, and other inclusion‑critical resources. The host stresses that when AI replaces human investment, the promise of inclusive workplaces—where everyone can perform, belong, and reach potential—turns into a hollow slogan, eroding employee experience and long‑term talent value.

The conversation then shifts to the runaway escalation of productivity expectations. Traditional benchmarks, like building ten brick walls a day, are suddenly doubled, then quadrupled, with no empirical proof that quality or usefulness is maintained. Jonathan differentiates between claims (AI will boost output), assumptions (all other variables stay constant), and testable hypotheses. He warns that leaders often accept unverified claims, inflating targets without measuring outcomes, which threatens both operational efficiency and the credibility of AI‑driven strategies.

Finally, the episode highlights a critical infrastructure gap: many organizations lack the technical and people foundations to support AI tools. HR leaders are asked to roll out co‑pilot solutions while IT teams admit they have never used the technology, and legacy systems crumble under new workloads. Jonathan recommends an evidence‑based inclusion framework—requiring clear metrics, explainable decisions, and robust support structures—before committing budget to AI. Without these safeguards, AI becomes a costly distraction rather than a strategic advantage, and the only escape hatch left is for leaders to abandon responsibility.

Episode Description

If leadership is using AI as permission to stop investing in people, that is an inclusion decision. Here I break down why. In this episode we cover: How AI gave leadership permission to withdraw investment Why productivity targets are assumptions not claims When broken infrastructure makes AI strategy impossible Episodes referenced: Why “We Have Copilot” …

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Show Notes

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