AI Summary
5 min readThe Enterprise AI Gap
When James Brown, an engineering lead at Schroders Asset Management, first threw Claude at his most ambitious personal project—an artificial life simulator he had been tinkering with for 20 years—the results were "nothing short of what I call Claude mania." He smashed goals that had eluded him for decades, in days. He couldn't stop. Multiple terminals, multiple agents, multiple projects running in parallel. For the first time since early in his career, he was coding until three in the morning. Then came the walk to buy milk and eggs, crawling out of his basement flat like "a Morlock in the H.G. Wells story," hit by a wave of anxiety that he hadn't left an agent running at home. "If I leave work and I haven't kicked off a bunch of agents to do stuff while I'm away, I feel like I've made a mistake or missed out."
But that personal productivity explosion hasn't translated cleanly into the corporate world. The gap between what AI can do for an individual tinkerer and what it can do inside a regulated enterprise is the real story of the moment—and it reveals as much about organizational structure as it does about the technology itself.
The Oxygen and the Fires
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What you'll learn
- 1 (00:00) **The Productivity Gap** - Chris describes the disconnect between personal AI productivity and enterprise results
- 2 (04:08) **Claude Mania and the Personal Breakthrough** - James recounts the moment AI went from hype to transformative for him personally
- 3 (09:05) **The Burnout Risk of 24/7 Productivity** - The blessing and curse of being able to build around the clock
- 4 (11:14) **Productivity Evidence vs. Impact** - The gap between feeling productive and delivering valuable outcomes
- 5 (13:24) **Clairvoyance: Agent Proximity Awareness** - James explains his open-source project for multi-agent coordination
- 6 (18:30) **AI Amplifying Existing Structures** - How AI acts as oxygen to existing organizational fires
- 7 (25:15) **Innovation Cost Has Collapsed—Processes Haven't** - The tension between cheap prototyping and old governance
+ Full timestamped outline available in the app
Guests on this episode
Show Notes
My guest this week is James Brown, an engineering lead at Schroders, and that's a useful vantage point — asset managers carry all the regulation and organisational weight of a bank, mixed with the first-to-market pressure of a startup. James starts with his own "Claude mania": months of agents running around the clock, and the wave of anxiety that hit him one morning walking to the shop without one running at home. From there, Clair — the plugin he's building to give coding agents proximal awareness of each other, using git orphan branches as a zero-infrastructure message bus; why AI behaves like oxygen in a room full of tiny fires; what "going well" actually measures inside a regulated firm; and why he thinks team sizes won't change, even when the number of teams does.
There's a darker thread running under all of it. The collapse in junior hiring, the advice we no longer know how to give a 20-year-old, dark factories and evolutionary harnesses that might make the AI's ideas better than ours, and the burnout James expects to be our dominant topic for the next couple of years. If AI is working beautifully on your side projects but landing with a thud at work, James has some honest answers — including several about what he doesn't know yet.
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Clair (James's multi-agent proximity plugin): https://github.com/JBJamesBrownJB/clair
Clair product docs: https://github.com/JBJamesBrownJB/clair/blob/main/docs/product.md
James's blog: https://medium.com/@jameskinnahbrown
"Milk, Eggs and Claude Mania": https://medium.com/@jameskinnahbrown/milk-eggs-and-claude-mania-49f445c5a77e
Schroders: https://www.schroders.com/
Claude Code: https://www.claude.com/product/claude-code
Agent Skills & progressive disclosure: https://platform.claude.com/docs/en/agents-and-tools/agent-skills/overview
Git orphan branches (git checkout --orphan): https://git-scm.com/docs/git-checkout
Moltbook: https://www.moltbook.com/
Team Topologies: https://teamtopologies.com/
"Expert Panel: How Far Can We Accelerate with AI?": https://youtu.be/Bg7L4vmmSKg
XT26 (the conference the panel was part of): https://www.juxt.pro/xt26/
Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social
Kris on Mastodon: http://mastodon.social/@krisajenkins
Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
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