At a lecture hall in Manila, Joseph Plazo laid down the gauntlet on what AI can and cannot achieve for the world of investing—and why that distinction matters now more than ever.

You could feel the electricity in the crowd. Young scholars—some clutching notebooks, others capturing every word via livestream—waited for a man known not only as an AI visionary, but also a contrarian investor.

“Algorithms can execute,” Plazo opened with authority. “It won’t tell you when not to trust them.”

Over the next hour, he swept across global tech frontiers, touching on everything from quantum computing to cognitive bias. His central claim: Machines are powerful, but not wise.

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The Audience: Elite, Curious—and Disarmed

Before him sat students and faculty from a multi-nation academic alliance, gathered under a technology consortium.

Many expected a praise-filled keynote of AI's dominance. Plazo had other plans.

“There’s a rising cult of algorithmic faith,” said Prof. Maria Castillo, a respected AI ethicist from the UK. “We need this kind of discomfort in academia.”

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Why AI Still Doesn’t Get It

Plazo’s core thesis read more was both simple and unsettling: AI does not grasp nuance.

“AI won’t flinch, but neither will it foresee,” he warned. “It recognizes patterns—but ignores the power structures.”

He cited examples like the market chaos of early 2020, noting, “Machines were late to the signal. People weren’t.”

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Reclaiming the Edge: Why Humans Still Matter

Rather than dismiss AI, Plazo proposed a partnership.

“AI is the microscope—you choose what to zoom in on,” he said. It works—but doesn’t wonder.

Students pressed him on AI in news and social chatter, to which Plazo acknowledged: “Yes, it can scan Twitter sentiment—but it can’t smell fear in a boardroom.”

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Asia Reflects: From Tech Worship to Tech Wisdom

The talk hit hard.

“I thought AI could replace intuition,” said Lee Min-Seo, a finance student from Seoul. “Now I see it’s judgment, not just data, that matters.”

In a post-talk panel, regional leaders backed Plazo’s call. “These kids speak machine natively—but instinct,” said Dr. Raymond Tan, “doesn’t replace perspective.”

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The Future Isn’t Autonomous—It’s Collaborative

Plazo shared that his firm is building “hybrid cognition models”—AI that understands not just volatility, but motive.

“Ethics can’t be outsourced to software,” he reminded. “Judgment remains human territory.”

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The Speech That Started a Thousand Debates

As Plazo exited the stage, students applauded. But more importantly, they stayed behind.

“I came for machine learning,” said a PhD candidate. “But I got a lesson in human insight.”

And maybe that’s the real power of AI’s limits: they force us to rediscover our own.