AI is everywhere but not every implementation works.

In this Season 2 recap of Artificial Insights, Daniel revisits the most powerful moments from conversations with eleven leaders building AI in the real world. These guests have seen what happens when AI is rushed, misused, or built without purpose, as well as what it takes to create AI that lasts.

Across three themes, their voices reveal patterns worth paying attention to:

1️⃣ The risks of rushing into AI and what happens when pressure overrides purpose

• 🎧 Jennifer Moss, author of "Why are we here?", speaking on the false pressures executives are feeling to adopt AI before they have a plan. Full episode here.
• 🎧 Bijan Vaez from Merchkit, speaking on how feeding AI really bad data turned out to be the bigger problem. Full episode here.
• 🎧 Carlos Almeida from Optave, speaking on the pitfalls of the fast prototype and how you shouldn't depend on an AI solution built in a weekend. Full episode here.
• 🎧 Jonathan Green of Serve No Master, speaking on why you shouldn't just fire your entire customer support team and replace them with AI to save money. Full episode here.

2️⃣ How to build AI on solid ground to solve real problems and earn trust

• 🎧 Patrick Belliveau from GambitCo, speaking on how not solving for cancer, but instead a very specific problem, was the key for success. Full episode here.
• 🎧 Alex Millar from GovAI, speaking on how everything is, technically, a wrapper. The challenge is to find how you add value. Full episode here.
• 🎧 Mike Kirkup from Arlo, speaking on how easy it is to get to 50% with AI models, but the hard part is getting to 99%. Full episode here.
• 🎧 Tair Asim from Sync, speaking on how good inputs are non-negotiable when making RAG-based AI products. Full episode here.

3️⃣ Why rethinking work defines the future and why transparency matters

• 🎧 Atif Khan of MessagePoint, speaking on how becoming AI-first requires a major shift in thinking. Full episode here.
• 🎧 Chyngyz Dzhumanazarov of Kodif, speaking on how the future of customer service will probably be AI-first, with the human touch as a premium service. Full episode here.
• 🎧 Nicolas Tobis of Relias, speaking on how, with AI, we can now train and measure empathy. Full episode here.

This episode closes Season 2 with a big insight:

The companies that thrive aren’t asking, What can this model do?

They’re asking, What do we need to understand about our data, our customers, and ourselves to make this work?