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

While tech evangelists tout AI supremacy, a defiant voice in Manila reminds us that judgment still beats the algorithm—intuition, discipline, and story.

“AI isn’t your golden ticket. But it will accelerate your losses.”

That was Joseph Plazo’s unapologetic opener at his overflowing keynote at the University of the Philippines’ amphitheater—and it drew audible gasps from the audience.

In front of him were the region’s next-gen economists and AI thinkers—portfolio hopefuls, quant researchers, and finance scholars from leading institutions across Asia.

Plazo—CEO of a firm at the intersection of AI and capital—delivered a roadmap on what AI offers—and where it falls short in real-world investing.

And what it misses, he stressed, is replace your instinct.

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

Dressed in a tailored navy suit, Plazo moved like a cross between preacher and prosecutor.

He opened fire with a short video montage—clips of online traders pushing miracle machines. Then he paused.

“I created the model they ripped off,” he said, matter-of-fact.

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

The message? Most models replay what already happened.

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

“When war erupts, when Powell slips during a Fed announcement, when a bank tumbles before markets open—AI doesn’t click here notice. That’s where we come in.”

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

One unforgettable moment? A showdown between machine and instinct.

A student from NUS presented an AI-backed trade on the Nikkei—equipped with indicators, trends, and sentiment metrics.

Plazo studied it. Then said:

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

The audience leaned in. The student grinned. 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. Faster chips won’t purge panic from data. Train an AI on fear, and it’ll become hysteria with processing power.”

### The Three Myths Plazo Shattered in 45 Minutes

1. **“AI Will Replace Portfolio Managers.”**
Nope. AI augments—it crunches, optimizes, and speeds up decisions—but it doesn’t see through fog-of-war events.

2. **“AI Understands Fundamentals.”**
Wrong. AI interprets numbers, but can’t see through diplomatic posturing. It may model interest rates, but it doesn’t hear whispers in Davos.

3. **“AI Makes You Smarter.”**
Actually, it might make you duller. “The real risk isn’t AI itself,” Plazo warned. “It’s losing your grip on human reason.”

### Why Asia Paid Close Attention

This wasn’t your average AI hype fest.

Asia’s universities are now minting billion-dollar fund builders. They’re asking: more code, or more conscience?

Plazo’s call: “Harness tech, but stay human.”

In closed-door chats at Ateneo and a roundtable at AIM, professors absorbed what they called a sobering perspective.

One finance dean remarked candidly, “Joseph might have rebooted our entire AI syllabus. Not magic—mirror.”

### The Future AI Can Build

Despite the critique, Plazo isn’t anti-AI.

He’s building hybrid neural systems—integrating macro signals and crowd psychology.

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

“It’s not starving for stats. It’s missing context. And that still can’t be coded.”

The applause echoed across campuses. And that jolt of insight is still shaking up syllabi in Asia’s elite universities.

In a world drunk on AI hype, he delivered the one thing no model ever could—wisdom.

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