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

In an age of algorithmic promises, a unfiltered voice in Southeast Asia reminds us what money still listens to—judgment, ethics, and gut.

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

That was Joseph Plazo’s 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 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 dose of realism on what AI delivers—and fails to grasp in real-world investing.

And what it still lacks, he stressed, is think like a human.

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

Dressed in a bespoke ensemble, Plazo commanded the stage with surgical precision.

He opened fire with a short video montage—social media influencers promising 90% win rates. Then he paused.

“I built the system they copied,” he said, dryly.

The crowd chuckled—but this wasn’t ego.

The message? AI is retrospective, not prophetic.

“You can’t outsource conviction. AI doesn’t carry skin in a trade—it reacts what already happened.”

“When war breaks out, when Powell frowns during a Fed announcement, when a bank goes under—AI doesn’t flinch. 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:

“Good. But you missed the BOJ’s stealth bond buy this morning. 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 panic on steroids.”

### The Three Myths Plazo Shattered in 45 Minutes

1. **“AI Will Replace Portfolio Managers.”**
Nope. AI supports—it crunches, optimizes, and speeds up decisions—but it doesn’t replace gut instinct.

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 weaken your edge. “The real risk isn’t AI itself,” Plazo warned. “It’s deskilling ourselves at scale.”

### Why Asia Paid Close Attention

This wasn’t a TED-style pep talk.

Asia’s universities are now launching the next generation of quant leaders. They’re asking: more code, or more conscience?

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

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

One finance dean privately told Forbes, “Joseph might have rebooted our entire AI syllabus. Not magic—mirror.”

### The Future AI Can Build

Despite the warnings, Plazo isn’t a luddite.

He’s building multi-signal trading engines—that blend intuition cues with algorithmic structure.

His stance? “Let AI drive—but you steer. Don’t go on autopilot.”

“AI doesn’t need more data. It needs discernment. And that still belongs to us.”

The standing ovation was thunderous. And the ripple is still moving in Asia’s halls of learning.

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

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