THE LIMITS OF AI IN INVESTING:

The Limits of AI in Investing:

The Limits of AI in Investing:

Blog Article

Human Intelligence Still Wins in Finance’s Final Frontier

As machines increasingly shape markets, a defiant voice in Manila issues a sharp reminder that judgment still beats the algorithm—conscience, context, and conviction.

“AI won’t make you rich. But it will amplify your errors at scale.”

That was the blistering opener at his jam-packed keynote at the University of the Philippines’ main forum—and it hit the crowd like a whipcrack.

In front of him were Asia’s brightest young minds—rising economists, AI researchers, and budding asset managers from leading institutions across Asia.

Plazo—CEO of a firm at the intersection of AI and capital—delivered a dose of realism on what AI delivers—and fails to grasp in actual investing.

And what it still lacks, he stressed, is understand story or nuance.

### Beyond the Hype: Investing in the Age of Overpromised Intelligence

Dressed in a razor-sharp outfit, Plazo paced the stage like a courtroom litigator.

He started boldly with a short video montage—YouTubers hawking AI bots. Then he paused.

“I created the model they ripped off,” he said, deadpan.

Laughter broke out—but that wasn’t the punchline.

The message? Most AI is built on hindsight.

“You can’t outsource guts. AI doesn’t believe in a trade—it mirrors what already happened.”

“When war unexpectedly explodes, when Powell coughs during a Fed announcement, when a bank implodes overnight—AI stays blind. Humans do.”

### The Students Who Challenged Him—and Got Schooled

The highlight of the talk? A battle of brains and bots.

A student from NUS presented an AI-backed trade on the Nikkei—technically solid, sentiment-scanned, and data-rich.

Plazo studied it. Then said:

“Solid—but blind to central bank footprints. Your AI doesn’t read motive. It consumes noise.”

The audience murmured. The student bowed slightly. Then: applause.

Another moment: A robotics PhD from Kyoto asked if quantum computing would render all current models useless.

Plazo’s answer? “Yes—and no. Quantum speed won’t fix human incentives. Train an AI on fear, and it’ll become a chaos machine.”

### The Three Myths Plazo Shattered in 45 Minutes

1. **“AI Will Replace Portfolio Managers.”**
False. AI assists—it backtests, filters, calculates—but it doesn’t replace hard-earned narrative memory.

2. **“AI Understands Fundamentals.”**
Wrong. AI reads tables, but fails more info at narrative causality. It may model interest rates, but it can’t predict a Strait of Hormuz conflict.

3. **“AI Makes You Smarter.”**
Actually, it might make you duller. “The real risk isn’t AI itself,” Plazo warned. “It’s deskilling ourselves at scale.”

### Why Asia Paid Close Attention

This wasn’t your average AI hype fest.

Asia’s universities are now home to finance’s future titans. They’re asking: more code, or more conscience?

Plazo’s call: “Do both—but lead with the mind.”

In closed-door chats at Ateneo and a roundtable at AIM, professors wrestled with what they called a turning point speech.

One finance dean privately told Forbes, “This talk shifts the ethical foundation. Not magic—mirror.”

### The Future AI Can Build

Despite the warnings, Plazo isn’t a luddite.

He’s building multi-signal trading engines—integrating macro signals and crowd psychology.

His stance? “Ride with it. Don’t abdicate to it.”

“It’s not starving for stats. It needs discernment. And that still belongs to us.”

The crowd rose as one. And his message is still echoing in Asia’s finance incubators.

In a world drunk on AI hype, Plazo gave the crowd what AI can’t: humanity.

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