How AI Leaders Are Borrowing From the Design Playbook | Figma Blog (opens in new tab)

AI transformation requires more than deploying new tools; it requires redesigning how organizations work. Figma argues that the most effective AI leaders adopt design practices—hands-on experimentation, close observation of workflows, and rapid prototyping—to turn adoption and innovation into meaningful business change.

AI Leadership as Organizational Design

• New AI innovation and acceleration roles are emerging to improve workflows, speed product launches, and expand tool adoption.
• These leaders often coordinate AI strategy across product, support, internal operations, and technology investments.
• A major risk is “performative progress”: adopting tools for appearances without changing the underlying systems and processes.
• Effective leaders connect technology, teams, workflows, and business outcomes.

Learn the Material by Using It Yourself

• Leaders need firsthand experience with AI tools rather than relying only on strategic or executive-level perspectives.
• Prompting, building agents, and experimenting across different tools reveals practical limitations, trade-offs, and adoption barriers.
• Personal projects—such as planning travel, organizing events, or managing volunteer work—can provide low-risk opportunities to develop AI fluency.
• Leaders cannot effectively guide organizations through probabilistic technologies without understanding how those technologies behave in real situations.

Observe How Teams Actually Work

• Understanding AI use across the business requires studying workflows, not just tools and their outputs.
• Useful signals include Slack discussions, survey responses, usage patterns, frustrations, and points where employees get stuck.
• An automation may appear successful technically but fail because it adds friction to an already complicated process.
• When adoption stalls, teams may be routing around the official solution and creating unofficial alternatives; observing this behavior helps identify the real problem.

Turn Ideas Into Prototypes

• Ideas often fail because teams cannot visualize or evaluate them, not because the ideas themselves are flawed.
• Prototyping converts abstract AI concepts into tangible experiences that teams can discuss and test.
• Tools such as Figma Make can help leaders and teams explore concepts quickly and make early possibilities easier to understand.
• Design combines observation with action: leaders should learn from real behavior, then use prototypes to test potential solutions.

AI leaders should therefore combine technical curiosity with design discipline: use the tools personally, study how people work, and prototype proposed changes before attempting broad implementation.