1. Shrugs off AI as hype

They expect AI to fade before proving its value. This scepticism leads to a “wait-and-see” approach, delaying investment in AI tools and innovations.

E.g. An operations manager avoids AI scheduling tools, saying, “This tech will be outdated in two years anyway... why bother?”

Why it happens

Fear of wasting time and money on a passing trend.

Doubts about AI’s ability to deliver long-term impact.

Distrust of overhyped technologies based on past experience.

Upsides

• Avoids hasty investment in tools that may not last.

• Encourages cautious evaluation before committing resources.

Downsides

• Can defuse interest in other team members.

• Risk of falling behind more innovative competitors.

Who you'll meet

The AI Holdout

Waits until a trend is firmly established before considering adoption.

The Proof Seeker

Questions whether AI’s relevance will stand the test of time.

The Legacy Keeper

Prefers methods with proven track records over emerging technologies.

Quick wins

• Share long-term projections and success stories of sustained AI impact.

• Pick a small, everyday task where AI can help, like summarising notes or sorting emails.

• Emphasise how adopting AI aligns with the organisation’s vision for innovation.

Use the plays:

Prove AI’s Accuracy & Value

Rebuild AI Trust & Shift Perceptions

Methods that use the patterns

More patterns to explore

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