Why AI Efficiency is a Trap for the Next Generation of Leaders

In the quiet corners of Australia's boardrooms, a new kind of issue is taking root. It isn’t about the volatility of the markets or the rise of the AI itself. It's a brewing erosion of human centred work.

In my doctoral research in psychology and decades working with high-performing leaders in high-pressure moments relating to acquisitions, tech transformations, media storms and unexpected market challenges, I’ve spent significant time observing how leaders build identity in professional and personal contexts.

What I can see is that currently, we are witnessing a grand, accidental experiment in leadership development. In our rush to embrace the productivity gains of Generative AI, we are inadvertently dismantling the very mechanism that creates a leader. Self-Efficacy.

The Struggle as a Developmental Necessity

In the 1970s, Albert Bandura gave us a roadmap for human agency. He identified mastery, which is the act of doing the hard thing ourselves, as the primary source of self-efficacy. It is the psychological equivalent of lifting the heavy weights.

When an emerging professional uses AI to draft a complex policy or synthesise a difficult strategy, they are skipping the gym. They are delivering the output without the growth.

From a developmental perspective, this is catastrophic.

By bypassing the cognitive friction of the first draft, they are failing to build the neural pathways required for complex decision-making.

The Faked Confidence Crisis

We see the fallout when the pressure rises. In high-stakes scenarios, we rely on Heuristics, which are those mental shortcuts forged through years of manual, often messy, thinking.

If a leader has outsourced their formative thinking to an algorithm, their confidence is a thin veneer. It looks like mastery in a calm meeting, but it shatters in a crisis. Senior executives and leaders, who are those who have spent decades honing their gut instinct through trial and error, can spot this borrowed intelligence instantly. You can’t prompt-engineer effective decision-making to navigate a crisis.

Intellectual Integrity as The Path Forward

We need a new protocol for the AI age. I call it The AI Third Thought Rule (ATTR). The First Thought is your intuition. The Second Thought is your manual struggle, which is the research, the messy drafting, the deep work. The Third Thought is where you invite AI to the table. The AI Third Thought Rule.

Use the technology to refine your brilliance, not to replace it. The goal of an emerging leader shouldn’t be to produce the best work. It should be to become the person capable of producing it.