WHAT AI CAN’T DO: A MANILA LECTURE SHAKES THE FINANCE WORLD

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

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

Blog Article

At a lecture hall in Manila, tech entrepreneur and investment icon Joseph Plazo drew a bold line on what technology can realistically offer for the economic frontier—and why this difference is increasingly crucial.

Tension and curiosity pulsed through the room. A sea of bright minds—some eagerly recording on their phones, others streaming the moment live—waited for a man both celebrated and controversial in AI circles.

“AI will make trades for you,” Plazo began, calm but direct. “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: AI is brilliant, but blind.

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Bright Minds Confront the Machine’s Limits

Before him sat students and faculty from prestigious universities across Asia, assembled under a pan-Asian finance forum.

Many expected a victory lap of AI's dominance. Instead, they got a reality check.

“There’s a growing religion around AI,” said Prof. Maria Castillo, guest faculty from Europe. “Plazo’s words were uncomfortable—but essential.”

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Why AI Still Doesn’t Get It

Plazo’s core thesis was both simple and unsettling: code can’t read between the lines.

“AI doesn’t panic—but it doesn’t anticipate,” he warned. “It finds trends, but not intentions.”

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

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The Astronomer Analogy

Rather than dismiss AI, Plazo proposed a partnership.

“AI is the vehicle—but you decide the direction,” he said. It works—but doesn’t wonder.

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

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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 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. “They’ve been raised by data—but instinct,” said Dr. Raymond Tan, “is only half the story.”

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Co-Intelligence: Merging Math with Meaning

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.

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