Where AI Falls Short: A Cautionary Tale for Future Investors
Where AI Falls Short: A Cautionary Tale for Future Investors
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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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. “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
He didn’t bash the machines—he put them in their place.
“AI is the vehicle—but you decide the direction,” he said. It sees—but doesn’t think.
Students pressed him on behavioral economics, to which Plazo acknowledged: “Sure, it can flag Reddit anomalies—but it can’t feel a market’s pulse.”
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A Mental Shift Among Asia’s Finest
The talk sparked introspection.
“I believed in the supremacy of code,” said Lee Min-Seo, a quant-in-training from South Korea. “Turns out, insight can’t be uploaded.”
In a post-talk panel, faculty and entrepreneurs echoed the caution. “This generation is born with algorithmic reflexes—but instinct,” said Dr. Raymond Tan, “is not insight.”
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What’s Next? AI That Thinks in Narratives
Plazo shared that his firm is building “co-intelligence”—AI that blends pattern recognition with real-world awareness.
“Ethics can’t be outsourced to software,” he reminded. “Judgment remains human territory.”
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An Ending That Sparked a Beginning
As Plazo exited the stage, the hall erupted. But more importantly, they stayed behind.
“I came for machine learning,” said a PhD candidate. get more info “Instead, I got something more powerful—perspective.”
Perhaps, in drawing boundaries for AI, we expand our own.