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, Joseph Plazo laid down the gauntlet on what technology can realistically offer for the world of investing—and why this difference is increasingly crucial.

The air was charged with anticipation. A sea of bright minds—some clutching notebooks, others broadcasting to friends across Asia—waited for a man both celebrated and controversial in AI circles.

“Algorithms can execute,” Plazo began, calm but direct. “It won’t tell you when not to trust them.”

Over the next sixty minutes, 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, gathered under a technology consortium.

Many expected a praise-filled keynote of AI's dominance. Instead, they got a reality check.

“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 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, “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 vehicle—but you decide the direction,” he more info 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. “These kids speak machine natively—but instinct,” said Dr. Raymond Tan, “doesn’t replace perspective.”

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Co-Intelligence: Merging Math with Meaning

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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