Artificial Insights: How To Do AI Right

Artificial Insights: How is AI Changing the Future of Work and Business?


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What happens when AI moves from theory to practice? Season one explored the messy, human answers.

From launching startups to reshaping industries, the first season of Artificial Insights dug into AI in practice, not just in theory. Guests shared hard-won lessons about why simplicity often beats sophistication, how to lead responsibly through uncertainty, and why AI’s real value lies in solving the right problems.

Daniel looks back at highlights from every conversation:

  • Anwar Jeffrey on why “smart enough” beats over-engineered. Listen to the full episode: https://rss.com/podcasts/manaryhaus/1635320/
  • Jake Walker on starting with the problem before the technology. Listen to the full episode: https://rss.com/podcasts/manaryhaus/1654888/
  • Mandip Kanjiya on AI as the next phase of programming. Listen to the full episode: https://rss.com/podcasts/manaryhaus/1674607/
  • Prerna Kaul on upskilling and augmenting human work. Listen to the full episode: https://rss.com/podcasts/manaryhaus/1697847/
  • Peter Carr on why most tech projects fail. Listen to the full episode: https://rss.com/podcasts/manaryhaus/1720663/
  • Addy Bhatia on the ethics of chatbots in mental health. Listen to the full episode: https://rss.com/podcasts/manaryhaus/1742470/
  • Chris Wynder on why AI won’t take your job, but someone using it will. Listen to the full episode: https://rss.com/podcasts/manaryhaus/1766286/
  • Kris Braun on where expert judgment still matters most. Listen to the full episode: https://rss.com/podcasts/manaryhaus/1788572/

It’s a chance to revisit the season’s biggest insights, and a reminder of how AI is changing not only what we build but also how we think about work, trust, and human judgment.

🔑 What You’ll Learn in This Episode

  • ✅ Why AI products succeed when they solve problems simply
  • ✅ How to balance opportunity and responsibility in AI projects
  • ✅ What “augmentation” really means for workers
  • ✅ Why ethical design matters in mental health AI
  • ✅ Where human expertise remains essential, even in an AI-first world

🔗 Resources & Links

  • 🤝 Connect with Daniel on LinkedIn: https://www.linkedin.com/in/danielmanary/
  • 📩 Subscribe to the Artificial Insights newsletter for key takeaways: https://manary.haus/podcast/#haus
  • 👉 Have a guest in mind? Reach out to Daniel at [email protected]

🎄 Looking back helps us see ahead. Share this episode with someone reflecting on AI’s role in their own work.

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Artificial Insights: How To Do AI RightBy Daniel Manary