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

In a packed amphitheater at the University of the Philippines, tech entrepreneur and investment icon 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.

The air was charged with anticipation. Young scholars—some clutching notebooks, others broadcasting to friends across Asia—waited for a man revered for blending code with contrarianism.

“AI will make trades for you,” he said with gravity. “But understanding the why—that’s still on you.”

Over the next hour, he swept across global tech frontiers, touching on everything from quantum computing to cognitive bias. 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 growing religion around AI,” said Prof. Maria Castillo, guest faculty from Europe. “Plazo’s words were uncomfortable—but essential.”

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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 detects movements, but misses motives.”

He cited examples like AI systems freezing during the 2020 pandemic declaration, noting, “AI lagged—while humans had already hedged.”

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The Astronomer Analogy

He didn’t bash the machines—he put them in their place.

“AI is the telescope—but you are still the astronomer,” he said. It analyzes—but lacks awareness.

Students pressed him on sentiment tracking, to which Plazo acknowledged: “Of course, it parses language patterns—but it can’t discern hesitation in a policymaker’s tone.”

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A Mental Shift read more Among Asia’s Finest

The talk hit hard.

“I used to think AI just needed more data,” said Lee Min-Seo, a finance student from Seoul. “Now I realize it also needs wisdom—and that’s the hard part.”

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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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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