For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/avetisantaplyan⁠⁠⁠⁠⁠⁠

In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Dr. Craig Kaplan, an AI pioneer, founder of IQ Company, and a four-decade veteran in artificial intelligence and collective intelligence systems, for a wide-ranging conversation on where AI is actually headed and why most people are still underestimating what is coming. Dr. Kaplan traces the history of AI from its roots in symbolic reasoning and machine learning to today’s agentic systems, explaining why the shift from AI as a tool to AI as a worker is such a major turning point. He shares lessons from building PredictWallStreet, a collective intelligence platform that used signals from millions of retail investors to power a top-ranked hedge fund, and uses that story to argue that communities of agents may become more powerful than any single model. The discussion also dives into jobs, entrepreneurship, AI-driven productivity, superintelligence, and the growing risk of building powerful black-box systems without enough transparency or alignment. Perhaps most compellingly, Dr. Kaplan makes the case that the future of AI safety is not only in the hands of researchers, but in the behavior, values, and data humans feed these systems every day.

Takeaways

AI did not appear overnight. Its formal roots go back to the 1956 Dartmouth conference, with major eras including symbolic AI, machine learning, and now agentic AI.
The biggest shift now is from AI as a tool to AI as a worker that can use tools and take action on a user’s behalf.
In collective systems, even “bad” or inaccurate inputs can become valuable if they are consistent and can be weighted, filtered, or inverted intelligently.
Entry-level cognitive work is already under pressure, while top performers and people with rare, non-commoditized knowledge still hold an edge, at least for now.
AI safety becomes urgent because today’s systems are often black boxes, making them powerful but hard to predict, govern, or reliably align with human values.
Dr. Kaplan believes safer AI will come from more transparent, democratic, collective-intelligence-style architectures rather than monolithic black-box systems.