The Long View


My Takeaway from Ai4 in Vegas: Agents Are Everywhere, Read This Before You Deploy One.

Enterprise AI moved past the polite email stage while nobody was looking. On the floor at Ai4 at The Venetian in Las Vegas, every slide, booth, and hallway conversation was about autonomous agents executing multi-step business operations inside live production systems. The momentum is real, but as World Labs co-founder Fei-Fei Li reminded attendees during the Architects of Intelligence panel alongside Geoffrey Hinton and Andrew Ng, enterprise leaders need to stay anchored in science, not science fiction.

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Posted by Daniel LaBianca on 08/11/20260 comments


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A Narrowed Narrative of AI: 90% of Developers have been Replaced

Every few weeks, someone with a large platform and a financial stake in AI says some version of the same thing: most software developers will be gone within a year, maybe two. The specific number shifts, but the confident delivery never does.

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Posted by Daniel LaBianca on 07/31/20260 comments


The Curious Case of AI within the Court of Law

There's a story making its rounds in legal circles that every enterprise leader using AI tools needs to read. Not because it's about lawyers, but because it's about all of us. In short, AI did the work, the lawyer signed the brief, and guess who got sanctioned.

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Posted by Daniel LaBianca on 06/18/20260 comments


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What Your Team’s AI Experiments Are Actually Teaching You

A few months ago, I started asking a simple question at every conference and event we run at Converge360: “How many of you have an official AI pilot underway?” Hands go up. Then I ask: “How many of you have employees already using AI tools on their own, outside of any official program?” Almost the same hands, and sometimes more.

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Posted by Daniel LaBianca on 05/21/20260 comments


Stop Waiting for the Perfect AI Strategy

I've spent 25 years in technology media. I've watched companies respond to the Internet, to mobile, to cloud, to social. I know what the winners looked like early on, and I know what the companies that fell behind had in common, too: They had great PowerPoints.

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Posted by Daniel LaBianca on 04/20/20260 comments


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