The most important job of leadership in the AI era is giving permission and taking accountability
A leader at Intercom explains how leadership in the AI era requires giving employees permission to experiment with AI tools while taking accountability for potential failures. They emphasize that all work will eventually become agent-first and leaders must break down barriers to AI adoption.
Summary
The speaker, who works at Intercom, discusses their leadership approach in implementing AI within their organization. They emphasize that one of their primary roles is providing explicit permission for employees to experiment with AI tools and taking personal accountability by telling staff to 'blame me if it all goes wrong.' The leader expresses strong conviction that AI will fundamentally transform work processes, stating that all work will become 'agent first' in the near future. They acknowledge that organizations face natural apprehension and initial challenges when introducing AI agents into business processes. The speaker argues that leaders at all levels - whether engineers or managers - must focus on enablement and creating space for employees to deeply explore AI capabilities. They believe this approach allows people to reach breakthrough moments where they realize AI's transformative potential for productivity. The overall message centers on leadership's responsibility to actively remove barriers to AI adoption while providing psychological safety for experimentation.
Key Insights
- The speaker's biggest leadership activity at Intercom involves giving employees explicit permission to experiment with AI and telling them to blame him if things go wrong
- The leader asserts that all work will become agent-first at some stage in the near future
- Organizations universally face apprehension and initial issues when introducing AI agents into business processes
- Leadership responsibility extends to all levels including engineers and managers, focused on enablement rather than control
- The goal is creating space for employees to have breakthrough moments where they realize AI's transformative potential for productivity
Topics
Transcript
[0:00] One of the biggest things I do at Intercom is just telling people they can do things or telling them, "Look, whatever you do, just blame me if it all goes wrong." But ultimately, it's that permission. And if you're out there saying, "I'm not sure if AI is going to have a big role to play in all of our work." I mean, keep on saying that all work is going to be agent first at some stage in the near future. And so, we're going to figure out the path there. And so, we're going to break down every barrier as we come across them. But giving that permission thing, but also the freedom to explore or…
Full transcript available for MurmurCast members
Sign Up to AccessMore from How I AI
Onboard your employees to Cowork in 15 minutes with this system
The transcript describes a workstation operating system that streamlines employee onboarding through an intuitive chat-based interface. The system automates tool connections, role confirmation, colleague mapping, calendar integration, and personalization to get new employees productive from day one.
Your prompt is a spec, and a good spec is the whole game
A prompt acts as a specification that defines quality criteria for AI outputs. By clearly articulating 5-10 defining characteristics of what makes something good (whether a garment, photo, or illustration), you provide the AI with the same level of detail a human creator would need to produce excellent results.
How I use ChatGPT to run my fashion business
Yana Welander demonstrates how she built an AI-native fashion brand using ChatGPT and Codex as her technical co-founder, automating design, production, and business operations from sketches to manufacturing and e-commerce. She shares how AI unlocks previously impossible garments while highlighting remaining challenges in pattern generation and realistic image rendering.
The biggest barrier to AI adoption is not fear of technology. It's the absence of muscle memory.
The speaker argues that the primary barrier to AI adoption is not fear but lack of muscle memory—the habitual use of AI tools. Success requires building collaborative practices through empathy, accessible training, and establishing regular workflows rather than overcoming technological anxiety.
Staying in Gmail means none of your AI work compounds
The speaker discusses how staying within Gmail limits the compounding value of AI-assisted work and writing, and demonstrates a workflow using Claude to enhance Gmail's functionality by adding formatting, links, and draft management capabilities.