'When everyone’s responsible, no one is': the AI champion problem
Zapier writes 30% to 40% of the job into the role of the people who drive its AI work. At its private retreat, its team shared insights on what else keeps AI champions from losing their time.
Background from Zapier Outpost Windsor
During a session at Zapier Outpost Windsor on September 8-10, 2026, Philip Lakin, Zapier’s director of AI transformation, and Alex Maxwell, who runs Zapier’s AI Leaders Lab, led discussions.
Key Takeaways:
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Prioritize AI work:
- Leadership must actively protect dedicated time for AI champions.
- A 20% reservation initially can be adjusted based on progress.
- Structure roles to include both strategic thinking and hands-on development.
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Change the narrative from efficiency to relief:
- Highlight how AI can relieve employees from mundane tasks, boosting job satisfaction.
- Focus on the benefits of AI for individuals, not just the organization.
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Identify champions organically:
- Observe who is naturally interested and engaged in AI projects during workshops or hackathons.
- Invest in training these individuals to become internal champions.
Challenges Faced:
The text highlights the challenges organizations often face when adopting AI:
- Lack of dedicated time: Leaders may not prioritize AI, leading to competing demands on champion's time.
- Resistance from employees: Workers can fear automation replacing them or feel guilty using AI tools.
- Identifying potential champions: Recognizing individuals passionate about AI within a company can be challenging.
Solution: A Multi-Pronged Approach
Zapier suggests a combination of direct hiring and training existing employees through workshops to identify and nurture internal AI champions.