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

Amid the warm Manila breeze, in a university hall buzzing with intellect, tech entrepreneur and investment icon Joseph Plazo drew a bold line 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 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 lecture, Plazo delivered a fast-paced masterclass, balancing data science with real-world decision making. His central claim: Machines are powerful, but not wise.

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Bright Minds Confront the Machine’s Limits

Before him sat students and faculty from prestigious universities across Asia, united by a shared fascination with finance and AI.

Many expected a celebration of AI's dominance. What they received was a provocation.

“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 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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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 Joseph Plazo 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 “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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The Speech That Started a Thousand Debates

As Plazo exited the stage, the crowd rose. 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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