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
• Email: hello@thehomebase.ai

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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
• Email: hello@thehomebase.ai

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AI & Web3 are killing data labeling jobs – Sapien CEO Rowan Stone reveals how blockchain quality control and human-in-the-loop methods reshape AI data pipeline.

In this hard-hitting episode titled “Your Data Labeling Job is Going to Zero,” we confront a stark reality: AI and Web3 are rapidly eliminating traditional data labeling roles and rewriting how we prepare data for intelligent systems. Guest Rowan Stone, CEO of Sapien, pulls no punches explaining why those low-value, repetitive labeling tasks are quickly becoming obsolete. The message is urgent, adapt now or be left behind, as automation and blockchain technology upend the old way of doing things.

Stone reveals how Sapien is replacing outdated workflows with a decentralized, blockchain-driven “proof of quality” protocol that ensures only the highest-caliber, human-verified data fuels the next generation of AI. From cutting out valueless micro-tasks to empowering specialized human-in-the-loop contributors, this conversation charts the imminent shift from mundane labeling to complex, high-stakes data curation for enterprise AI systems. This episode is a must-listen for AI practitioners, Web3 builders, enterprise tech leaders, and any knowledge worker concerned about staying relevant in the AI era.

AI eliminating data labeling jobs, Data labeling jobs going to zero, Low-value data tasks obsolete, Future of data labeling work, Human-in-the-loop AI systems, Decentralized data labeling platform, Blockchain-based data quality control, AI job disruption, Web3 data infrastructure, Data curation for next-gen AI

Where to find me:
• David: Linkedin
• 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