Ep 830: Faster AI Agents, Fewer Human Coworkers: The Overly Productive Future of Managing Agents?
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What is the main topic discussed in this episode?
This is the Everyday AI Show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life.
How does the host describe his role as a single human managing dozens of AI agents?
I am the only full-time employee at Everyday AI. Sure, I have a few contractors helping out, but I'm the only full-time human responsible for creating this daily podcast that reaches millions of people a year. Others are kind of always shocked to hear that, as most of the other top 25 tech podcasts have large teams to produce the same amount that we produce. But do you know what I do all day? I just manage agents. I mean, literally right now I have Codex running with at least 50 sub-agents active. I have Codex controlling Cloud Code, and I have scheduled agents running in Google Gemini, Cloud Cowork, Copilot, and others. Maybe I'm a little overly productive from a single human to output perspective, but it's about to get worse or maybe better depending on your perspective.
That's because as soon as today or Friday at the latest, we'll have a new open AI model powered by Cerebras that runs up to 20 times faster than their current models at the same capabilities. And that got me thinking. What the heck is the future we're going to be like? I mean, I'm already agent pill than producing more content and hopefully value than much larger teams with many more humans. So what happens when all of my agents are 20 times faster? I'm not sure yet, but I wanted to kind of opine about that out loud on today's show and explore this weird conversions that we're in now. Because not only are agents producing economically valuable work end to end at a higher quality bar than expert humans, but now we are entering a new phase where those AI agents might be working 20 times faster.
And I don't know if anyone truly understands what this convergence means for the future of work, but let's unpack it and see what we might come up with anyways on today's episode of Everyday AI. So here is the big picture. What the heck is going to happen when millions of professionals like me and you, business leaders that are on the cutting edge of AI, what's going to happen when we just become managers of faster agents and they become more powerful?
What does the Cerebras‑powered OpenAI model promise and why does 20x faster inference matter?
Right now, AI is fast and parallel enough that one person can direct dozens of agents a day. That's pretty much all I do all day. But OpenAI, as well, we are seeing maybe by the time you're listening to this, it will already be released. But at least as of now, you know, the rumors are saying that we're going to be getting a new OpenAI model powered by Cerebras. That's essentially this really fast chip technology. And essentially, let's say you put a very smart agent out there and it thinks, and normally it takes five minutes and you get a great output. Well, what happens when that five minutes becomes 30 seconds? And normally you go, I don't know, manage other agents or do other tasks during that time that you're waiting.
What happens when things are just instantly done? And the upside here is real, right? With workers reporting more autonomy and more outputs. But the risk is maybe a workday spent managing machines while human trust and mentorship quietly just thins out. So on today's show, here's what you're going to learn. You're going to know why employees are increasingly asking agents before managers, specialists, or awkward conversations. You're going to understand how faster inference turns solo work into supervising parallel machine teams. gonna know how winning companies can empower human judgment while still automating most of the manual knowledge work and you're gonna leave the show with the three human handoffs to protect before your workflow quietly deletes them all right welcome to everyday ai if you're new here my name is jordan wilson we do this every day it's for you it's
How will 20x faster agents change a user's daily workflow and waiting time?
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Chapters
8 chapters
1
What is the main topic discussed in this episode?
0:00–0:16
2
How does the host describe his role as a single human managing dozens of AI agents?
0:16–2:32
3
What does the Cerebras‑powered OpenAI model promise and why does 20x faster inference matter?
2:32–4:09
4
How will 20x faster agents change a user's daily workflow and waiting time?
4:09–7:09
5
Why are workers increasingly asking AI agents before managers or specialists?
7:09–12:08
6
What are the risks of agent‑driven work like deskilling, siloed work, and loss of mentorship?
12:08–17:01
7
Which human handoffs should companies protect to keep judgment, learning, and belonging?
17:01–17:38
8
What three strategic actions should teams take now to manage faster, smarter agents responsibly?
17:38–32:56
Speakers
1 identifiedMore from Everyday AI Podcast – An AI and ChatGPT Podcast
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