How to Build an AI Native Team with Mike Cannon-Brookes

How to Build an AI Native Team with Mike Cannon-Brookes

Author: Nathaniel Whittemore May 10, 2026 Duration: 29:39

In this sponsored bonus episode, NLW is joined by Atlassian co-founder and CEO Mike Cannon-Brookes for a conversation about how to build AI native teams. They discuss what separates enterprise AI leaders from laggards, why context is becoming a critical layer of AI adoption, how agents and MCPs are changing the way people work with software, and why 2026 may be the year AI moves beyond chat into more natural product experiences. This episode is presented in partnership with Atlassian, and includes a companion quiz to help you find out what kind of AI team you are.

Sponsored by Atlassian https://www.atlassian.com/

Find our what kind of team you are: The AI Native Team Quiz - https://play.aidailybrief.ai/episodes/ai-team-archetypes/



Every weekday, Nathaniel Whittemore, known as NLW, sits down to make sense of the relentless pace of change in artificial intelligence. The AI Daily Brief: Artificial Intelligence News and Analysis is exactly that: a concise, thoughtful breakdown of the day's most important developments. You'll hear more than just headlines. NLW digs into the implications behind each story, connecting technical breakthroughs to their real-world consequences. The conversation might start with a new model release or a policy shift, but it quickly expands to consider the broader landscape. That includes the creative explosion fueled by tools like Midjourney and ChatGPT, as well as the profound disruptions reshaping work and entire industries. Crucially, this podcast doesn't shy away from the deeper questions either. Episodes regularly grapple with the ethical dilemmas, philosophical puzzles, and practical challenges posed by the pursuit of advanced general intelligence-topics like alignment and existential risk are part of the necessary dialogue. It’s a daily ritual for anyone who wants to move beyond surface-level tech news and understand the forces actively shaping our future. The analysis is grounded, accessible, and designed to give you a coherent perspective on a field that often feels overwhelming. Tune in to stay informed and thoughtfully engaged with the defining technology of our time.
Author: Language: en-us Episodes: 100

The AI Daily Brief: Artificial Intelligence News and Analysis
Podcast Episodes
Beating the AI Doom Cycle [not-audio_url] [/not-audio_url]

Duration: 33:22
NLW introduces the AI Doom Cycle: the emotional arc from skepticism, to AI mania, to job-loss panic, to a more grounded view of how AI is actually spreading through society. From Ken Griffin’s AI reversal and Silicon Val…
AI Inequality [not-audio_url] [/not-audio_url]

Duration: 26:13
A new divide is emerging in AI: who gets access to the most powerful models, and who gets pushed into weaker, more limited tiers. NLW explores how compute scarcity, security restrictions, API pricing, and frontier model…
Google’s Big AI Test Comes Next Week [not-audio_url] [/not-audio_url]

Duration: 30:13
NLW previews Google I/O and the bigger question hanging over it: whether Google can turn its massive AI advantages into products people actually want to use. The episode connects Codex coming to ChatGPT mobile, the rise…
RIP Golden Age of Agent Experimentation 2026-2026 [not-audio_url] [/not-audio_url]

Duration: 31:41
Anthropic’s new Claude pricing changes are the clearest sign yet that the freewheeling agent experimentation era is ending. NLW explains why the developer backlash is real, but the deeper story is bigger than one company…
In Defense of Tokenmaxxing [not-audio_url] [/not-audio_url]

Duration: 28:19
NLW argues that the backlash to tokenmaxxing misses the bigger enterprise AI shift. Token leaderboards can create bad incentives, but companies still need aggressive experimentation as work moves from assisted AI to agen…
Towards AI That Can Actually Interact [not-audio_url] [/not-audio_url]

Duration: 29:36
Thinking Machines Lab shows off a new kind of AI model built for real-time collaboration — one that can listen, watch, respond, interrupt, and work in the background without forcing humans into awkward prompt-and-respons…
The Best Way to Talk to Your AI Agents [not-audio_url] [/not-audio_url]

Duration: 29:46
As agents become a bigger part of how people work, the format of the handoff starts to matter. NLW explores the debate over Markdown versus HTML, why the argument is really about a deeper shift from producing final outpu…
The New Jobs AI Will Create [not-audio_url] [/not-audio_url]

Duration: 30:57
The AI jobs debate has spent years asking which roles will disappear. This weekend long-read asks the more important question: what becomes possible when AI expands the amount of useful work the economy can support? NLW…
The Week the AI Story Shifted [not-audio_url] [/not-audio_url]

Duration: 30:46
This week-in-review episode looks at a week when the AI narrative started to fork, from job-apocalypse panic toward a more mature picture of how AI will actually diffuse through the economy, markets, infrastructure, and…
Surprise Elon Anthropic Team Up Reshapes the AI Race [not-audio_url] [/not-audio_url]

Duration: 31:25
Anthropic’s Code with Claude event was supposed to be the story, with new managed agent features for memory, quality review, multi-agent orchestration, and finance-specific agents. Instead, the episode explores how a sur…