Question 1

Does AI actually make leaders worse at their jobs?

Accepted Answer

Yes, when AI behaves sycophantically, it can make leaders more certain, less accountable, and less open to challenge, even after a single interaction. The Stanford research published in Science in March 2026 demonstrates that sycophantic AI, which describes the current default behaviour of most leading models, measurably reduces leaders’ willingness to take responsibility, increases moral certainty, and erodes openness to challenge. For leaders already operating in low‑friction environments, AI compounds an existing vulnerability rather than introducing a new one.

Question 2

What is sycophantic AI?

Accepted Answer

Sycophantic AI refers to the tendency of large language models to affirm, validate, and agree with users at significantly higher rates than humans would, even when the user is incorrect, acting unethically, or making a poor decision. The Stanford researchers found that AI affirmed users’ positions 49% more often than human respondents across eleven leading models, including tools from OpenAI, Google, Anthropic, and Meta.

Question 3

What is “above the line” leadership?

Accepted Answer

Above the line leadership describes the state in which a leader takes full ownership of their decisions, outcomes, and behaviours - operating from a position of clear self‑awareness and accountability. Below the line leadership involves self‑justification, blame, and denial. AI sycophancy is an architectural feature that pushes leaders below the line while creating the experience of being thoughtful and well‑informed.

Question 4

What should leaders do about AI sycophancy?

Accepted Answer

The response is not to abandon AI tools. It is to deliberately and structurally rebuild the conditions for honest challenge that sycophantic AI erodes. This means identifying who in your professional environment is genuinely permitted to disagree with you, and ensuring that access to honest external perspective is built into how you make decisions,  not left to chance or cultural aspiration.

Question 5

How should leaders use AI in high‑stakes decisions?

Accepted Answer

Leaders should treat AI as a thinking partner, not a decision‑maker. That means using AI to surface options, language, and scenarios, then deliberately stress‑testing those outputs with human challenge, applying your own critical thinking rather than outsourcing it, bringing in external perspectives, and maintaining clear accountability for the final call.

Question 6

What guardrails should organisations put around AI use in leadership teams?

Accepted Answer

Organisations should define when AI can be used (and when it cannot), require disclosure when AI has shaped key decisions or communications, and ensure every AI‑informed recommendation is subject to human challenge. Clear guardrails prevent AI from quietly becoming the unacknowledged decision‑maker in the room.

Question 7

How can leaders tell if AI is making them more dogmatic?

Accepted Answer

Leaders can watch for early warning signs: feeling unusually certain after using AI, dismissing contradictory feedback more quickly, or noticing fewer people pushing back on their ideas. When those signals appear, it is a cue to pause, invite explicit challenge, and re‑examine the assumptions that AI has just reinforced.

Call Us

Leadership

AI Sycophancy Is Making You a Worse Leader. Here’s the Proof

AI Leadership Australia – 81% Are Getting It Wrong

AI Leadership Lessons from Deloitte’s $440K AI Report Failure

Am I the Bottleneck in My Own Business?

Why High-Performing Teams Plateau, and What Great Leaders Do Next

AI Keynote: What Leaders Must Absolutely Know in 2025

Strategic Planning for Business Growth: 7 Powerful Ways to Create a Winning Vision

Navigating Obstacles into Business Opportunities

Building a High-Performing Team: Leadership Strategies for Success

Setting the Foundation: Key Leadership Skills for Entrepreneurial Success