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, renowned AI investor Joseph Plazo made a striking distinction on what machines can and cannot do for the future of finance—and why that distinction matters now more than ever.

You could feel the electricity in the crowd. Young scholars—some furiously taking notes, 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 took the audience from Silicon Valley to Shanghai, 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, 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, an Oxford visiting fellow. “This lecture was a rare, necessary dose of skepticism.”

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The Machine’s Blindness: Plazo’s Case for Caution

Plazo’s core thesis 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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Wisdom in a World of Code

Plazo didn’t argue against AI—but for boundaries.

“AI is the microscope—you choose what to zoom in on,” he said. It analyzes—but lacks awareness.

Students pressed him on AI in news and social chatter, to which Plazo acknowledged: “Of course, it more info parses language patterns—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, tech mentors agreed with his sentiment. “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 pairs statistical logic with situational nuance.

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

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The Speech That Started a Thousand Debates

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

“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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