The AI Chopping Block

Scaling 3000 Sites With 1 AI Agent

In this episode, Mark Michael, founder of DevHub, breaks down what it really looks like to scale a non–AI-native company in the age of AI agents. DevHub powers thousands of franchise and multi-location websites, and instead of chasing hype, Mark explains how his team is using AI where it actually works from internal knowledge agents and developer copilots to agent-driven website updates across hundreds or thousands of locations. We dive into: - How DevHub manages 300–3000 websites with minimal human overhead - Why AI agents are quietly replacing entire workflows (not just roles) - The reality of AI in hiring, SDRs, project management, and engineering - Why small teams under 100 people are in the strongest position right now - How internal AI knowledge bases are eliminating meetings and bottlenecks - Why brand, not product, may be the only thing AI can’t replace - The uncomfortable truth about what AI is doing to humanity inside companies Mark also shares hard-earned lessons from 18+ years of building DevHub, including pivots, buying the company back from investors, expanding into Latin America, and why he believes we’re living through the real “Roaring 20s” of tech right now. If you’re a founder, operator, or leader wondering how to use AI without destroying your culture or your edge, this conversation is a must-watch. Where to find me: • David: Linkedin [https://www.linkedin.com/in/stepania/] • Email:  hello@thehomebase.ai Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here: • Newsletter: Join Here [https://www.thehomebase.ai/newsletter]

Nonprofits Are Saving 12 Hours a Week With AI — But That’s Not the Real Breakthrough

Nonprofits are uniquely positioned to benefit from AI — yet most are still struggling to adopt it. In this episode, Remy Reya, Director of AI and Thought Leadership at Compass Pro Bono, breaks down how nonprofits are actually using AI today, what’s holding them back, and why AI adoption in mission-driven organizations looks very different from the for-profit world. Remy shares how Compass Pro Bono rolled out enterprise AI tools internally and helped their team save 10–12 hours per week, not by hiring expensive AI engineers, but by thoughtfully integrating large language models into existing workflows like grant writing, social media, thought leadership, program design, and internal operations. We dive deep into: * Why nonprofits are paradoxically perfect candidates for AI — yet slow to adopt * How AI can reduce burnout instead of accelerating the “impact treadmill” * The real risks of AI in social impact, including bias, data ethics, and human displacement * What responsible, human-first AI adoption actually looks like * Why AI literacy and change management matter more than technical skill * How leaders should think about the time AI gives back — and what to do with it This is a must-watch conversation for nonprofit leaders, AI builders, social impact founders, and anyone curious about how AI can scale impact without sacrificing mission, trust, or humanity. Where to find me: • David: Linkedin [https://www.linkedin.com/in/stepania/] • Email:  hello@thehomebase.ai Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here: • Newsletter: Join Here [https://www.thehomebase.ai/newsletter]

AI Hiring From 60 days to 2 Hours

Hiring shouldn’t take 60 days. In this episode, Alex an AI recruiter designed to interview everyone, summarise every conversation, and help employers and staffing firms move from “endless screening” to “fast, skills-based hiring.” Alex isn’t just a chatbot. It has its own interview link, calendar, email, and phone number, can run interviews over phone or video (Zoom-style), and plugs into your ATS to write back notes, ping hiring managers, and keep workflows moving.  The wild part: From 60 Days to 2 Hours its Interviewing 5,000 Candidates a Day, stack-rank them, generate shortlists per role, and even draft reject emails while also helping teams reduce risk with recorded interactions and third-party bias reviews. If you’re a recruiter, HR leader, or staffing firm dealing with high-volume applicants (including AI-generated resumes and “spray and pray” submissions), this conversation breaks down what hiring at scale looks like when your first-round screening becomes software. Where to find me: • David: Linkedin [https://www.linkedin.com/in/stepania/] • Email:  hello@thehomebase.ai Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here: • Newsletter: Join Here [https://www.thehomebase.ai/newsletter]

AI is changing startup immigration, how? (Gale, YC-backed)

In this episode, David Stepania talks with Haokun and Rishabh, founders of Gale, an immigration service provider bringing more tech into the U.S. visa process so employers, beneficiaries, and vetted lawyers can collaborate with shared context without endless email threads.  They share how Gale supports startup-friendly pathways like O-1, EB-1, NIW, and H-1B, and where “AI” fits today: mostly on the backend to help lawyers draft parts of petitions and support letters faster, with everything scrutinized through lawyer review.  The founders also break down H-1B compliance workflows (like LCA posting and maintaining a public access file) and how Gale helps teams stay on top of the details.  Where to find me: • David: Linkedin [https://www.linkedin.com/in/stepania/] • Email:  hello@thehomebase.ai Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here: • Newsletter: Join Here [https://www.thehomebase.ai/newsletter]

No Job Is Safe Anymore | What Cleanlab’s CEO Revealed Shocked Me

In this episode, Cleanlab CEO Curtis Northcutt shares a perspective few leaders are willing to say publicly: “I don’t even think my job is safe.” We discuss the exponential acceleration of AI, how machines are improving faster than humans can understand, and why we’re entering a future where AI evaluates AI—because humans simply won’t be able to. Curtis also explains: * Why no job (including CEOs) is safe from AI * Why we now “talk to computers that talk back” * Why enterprises struggle with AI hallucinations and risk * How Cleanlab built a real-time “self-awareness layer” for AI agents * Why human labeling won’t survive the next 2–5 years * The biggest moat in AI (and why OpenAI can’t build it internally) * Where AI works today vs where it still spectacularly fails * Why startups must use AI everywhere to survive * How his journey from rural Kentucky to MIT shaped Cleanlab’s mission One of the clearest, most grounded explanations of what the next few years of AI will look like for companies, workers, and society. If you enjoyed this conversation, follow the show for more founder perspectives on building responsibly with AI.  Where to find me: • David: Linkedin [https://www.linkedin.com/in/stepania/] • Email:  hello@thehomebase.ai Want to stay ahead of AI's impact on jobs and future opportunities? Join 18000+ tech leaders and founders who are shaping the future of AI here: • Newsletter: Join Here [https://www.thehomebase.ai/newsletter]