In this episode, Gabe Larsen rips into the outdated sales tactics still plaguing the AI industry. He calls out the over rehearsed demos, the bloated enterprise agreements, and the fake case studies. Gabe argues for a straightforward approach let the product speak for itself with a paid test drive. If it's good, buyers will know. If not, they'll really know. It's time to ditch the theatrics and let technology do the talking. Get my weekly breakdown of AI, GTM, and Cloud Employees:

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In this episode, Gabe Larsen explores the transformative shift from traditional user interfaces to a voice first era. He delves into how the evolution of technology is reshaping our interaction with machines, emphasizing the importance of clarity and intent in communication. As we transition from speaking the language of computers to them understanding ours, Gabe highlights the new skills required to thrive in this rapidly changing landscape. Tune in to discover how this paradigm shift is redefining success in the digital age. Get my weekly breakdown of AI, GTM, and Cloud Employees:

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In this episode, we dive into the shifting landscape of the SaaS industry, exploring its decline and the rise of AI driven solutions. Join us as we discuss the factors behind the diminishing growth rates in SaaS, the impact of AI on traditional software models, and the future of enterprise technology. With insights from industry experts, we uncover the challenges and opportunities that lie ahead for tech companies navigating this transformative era.

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This week wasn’t “busy,” it was a turning point. SaaS hit the ceiling, Apple showed real cracks, AI exposed its own fragility, Google made the biggest agent play yet, Adobe grabbed SEMrush to stay alive, and the labor market quietly rewired itself behind the scenes. In this episode, I break down the pattern nobody wants to admit: the old tech economy is fading and the next era of agents, data, and digital labor is taking its place. Get my weekly breakdown of AI, GTM, and Cloud Employees:

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Everyone thinks their IT team can “build an AI agent.” They can’t. Not the real ones. In this episode, I break down why most teams hit a wall in 30 days and why leaders need to stop chasing ego projects and focus on execution that actually drives growth. Get my weekly breakdown of AI, GTM, and Cloud Employees:

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Most companies still think scaling means hiring more people. That era is dead. This episode breaks down what actually replaces headcount: the Autonomous Enterprise, where one person leads a team of Cloud Employees that do real work, not pretend automation. If you’re still planning org charts and manual workflows like it’s 2015, this will shake that belief fast. The future is capability networks, AI teammates, and output that looks impossible until you do it. Tune in. Get my weekly breakdown of AI, GTM, and Cloud Employees:

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Brandon Redlinger isn’t here to talk theory. He’s here to show how AI is blowing up the old marketing playbook. In this episode, we get into how real operators are using tools like ChatGPT to rip through competitive research, accelerate content, and make better decisions faster than most teams can open a Google Doc. Brandon walks through his actual workflow, his personal AI stack, and how he went from basic prompts to using AI as a force multiplier across every part of marketing. If you’re still treating AI like a side project, this will be a wake-up call. Tune in and level up. Get my weekly breakdown of AI, GTM, and Cloud Employees:

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In this episode, I get into the part of AI nobody wants to talk about: the infrastructure is still brittle as hell. One Cloudflare outage took down half the AI ecosystem, ChatGPT, Claude, Shopify, Uber, the whole parade, all because we’re building the future of work on a single point of failure.

Everyone’s hyped about model upgrades and agent demos, but the real risk is hiding under the floorboards. We’re over-reliant on a tiny handful of providers, nobody has real redundancy, and most companies don’t even have a plan for what happens when their “AI strategy” goes dark for an hour.

AI is getting smarter. The stack it runs on isn’t. And if your business depends on it, that should scare you more than any talk about AGI. Get my weekly breakdown of AI, GTM, and Cloud Employees:

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Most people throw around AI buzzwords they don’t actually understand, so Dave and I broke it down without the theater. We got into what an AI agent really is, why “agentic AI” matters, and the actual gap between AI, AGI, and the sci-fi super intelligence everyone pretends is right around the corner.

We talked about MCP, the Model Context Protocol, and why it’s becoming the backbone for connecting AI into real systems. We hit the Autonomous Enterprise model, the ECE ratio, and why your company will eventually measure how many Cloud Employees each human manages.

And yes, we called out hallucination bias and the data governance mess no one wants to admit they have. If you want the no-nonsense version of how this stuff actually works, this is it. Get my weekly breakdown of AI, GTM, and Cloud Employees:

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Dave and I got into the truth about lead response, and it isn’t pretty. We’ve known since 2007 that you have five minutes before a lead goes cold, yet 23 percent of leads still never get touched. Not because reps are bad. Because the system is broken. So we walked through Zoe, our Cloud Employee that handles the entire lead response motion end to end. Enrichment, outreach, follow-up, scheduling, CRM update, all of it, no babysitting. She doesn’t forget, she doesn’t take breaks, and she works ten leads at once without dropping a ball. This isn’t AI replacing humans. It’s AI doing the grunt work so humans can finally do the part that actually moves revenue. If you’re still pretending lead response is a “people problem,” this episode will change your mind fast. Get my weekly breakdown of AI, GTM, and Cloud Employees:

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