What AI Can’t Do: A Manila Lecture Shakes the Finance World

In a packed amphitheater at the University of the Philippines, renowned AI investor Joseph Plazo made a striking distinction on what AI can and cannot achieve for the future of finance—and why that distinction matters now more than ever.

You could feel the electricity in the crowd. Students—some furiously taking notes, others streaming the moment live—waited for a man revered for blending code with contrarianism.

“AI will make trades for you,” he said with gravity. “But it won’t teach you why to believe in them.”

Over the next sixty minutes, Plazo delivered a fast-paced masterclass, intertwining machine logic with human flaws. His central claim: Artificial intelligence is impressive—but it lacks soul.

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Top Students Meet a Tough Truth

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 too much blind trust in code,” said Prof. Maria Castillo, an Oxford visiting fellow. “This lecture was a rare, necessary dose of skepticism.”

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When Algorithms Miss the Mark

Plazo’s core thesis was both simple and unsettling: machines lack context.

“AI is fearless, but also clueless,” he warned. “It finds trends, but not intentions.”

He cited examples like click here machine-driven funds failing to respond to COVID news, noting, “By the time the algorithms adjusted, the humans were already positioned.”

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Reclaiming the Edge: Why Humans Still Matter

Rather than dismiss AI, Plazo proposed a partnership.

“AI is the telescope—but you are still the astronomer,” he said. It sees—but doesn’t think.

Students pressed him on behavioral economics, to which Plazo acknowledged: “Sure, it can flag Reddit anomalies—but it can’t feel a market’s pulse.”

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The Ripple Effect on a Digital Generation

The talk left a mark.

“I thought AI could replace intuition,” said Lee Min-Seo, a quant-in-training from South Korea. “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 “symbiotic systems”—AI that pairs statistical logic with situational nuance.

“Only you can judge character,” he reminded. “Belief isn’t programmable.”

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Standing Ovation, Unfinished Conversations

As Plazo exited the stage, the crowd rose. But more importantly, they started debating.

“I came for machine learning,” said a PhD candidate. “But I left understanding myself better.”

In knowing what AI can’t do, we sharpen what we can.

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