My Citrix colleague Dave Brear and I just launched a podcast about the future of EUC and how AI is entering the enterprise workspace. We’re calling it the Citrix AI Hotsheet, where we pull together the most relevant conversations on what’s actually happening with enterprise AI in the real world.
Dave and I have both been working in large enterprise IT environments for decades. This is not an AI hype podcast where enthusiastic AI accelerationists talk about how easy it is to vibe code your way to utopia and how we’ll all be unemployed by next year. We have been working a collective 50 years and understand how enterprises really work, how change actually happens, and what it takes to safely deliver and secure the work environment for banks, hospitals, manufacturers, and governments.
That said, we also understand how humans work. Rank-and-file knowledge workers are finding their own ways to use AI tools (whether sanctioned by IT or not), while large enterprises struggle to balance security and governance needs from IT, workers’ desires and fears about AI, and their CEO’s desire to be “AI first” while also keeping the business running.
This is the world Dave and I live in and the world we cover in this podcast.
I come from a futurist’s perspective (where are things going), and Dave from an architect’s (what are customers dealing with today).
You can find the Citrix AI Hotlist wherever you get your podcasts from:
Reach out if it’s not on your platform of choice, and we’ll add it. We record video for those who want it, but the show is designed for audio podcast listeners, so watching the video is not necessary.
Our first episode is also now available.
Episode 1: AI agents, second brains, and the enterprise AI gap
In the first episode, I make the case that AI is going to enter the enterprise by using the same desktops and applications human workers already use. (There’s no way enterprises are rebuilding everything from scratch.) We dig into computer-using agents (CUAs), why they’ve been painfully slow, and a recent research paper that shows how semantic primitives instead of screenshots can cut token consumption by 80%.
Then Dave introduces “context vaults” (what I’ve been calling “second brains”) and why they are already changing how knowledge workers work, even though most enterprises can’t see it happening.
We close by discussing how we connected our two second brains via MCP so we can bounce ideas off each other’s AI directly. (In fact we both publish our second brains at davebrear.ai and brianmadden.ai, so you can try this yourself. Click either link for details. You can connect them to whatever chatbot you use with just a few clicks!)
We’re including full transcripts with every episode so you can feed them into your own AI tools.
Dave and I both added the transcript to our public second brains, so you can chat with your AI about it, or reach out to us on LinkedIn to discuss this episode or suggest topics for future ones.
Find Episode 1 here:
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via IFTTT
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