At a regional summit of young minds trained in data and dollars, Joseph Plazo—founder of the algorithmic trading firm Plazo Sullivan Roche—offered an unusual message: slow down.
MANILA — Plazo didn’t talk about speed or scale.
“If you hand over your portfolio to a machine,” he said, “you must ask: does it reflect your ethics—or just your ambitions?”
???? **He Built the Bot. But He’s Not Sure We’re Ready for It.**
Plazo is not new to this space. His firm’s AI systems have posted a 99% win rate across key timeframes and are in use by institutional clients across Europe and Asia.
Yet even with these results, he insists—performance isn’t the only metric.
“AI can optimise a mistake to perfection if no one stops it.”
He shared a case from the early days of the pandemic. One of his firm’s bots flagged a short on gold just before the U.S. Federal Reserve issued an emergency policy shift.
“We overrode it. The algorithm was correct—but profoundly unaware.”
???? **When Pausing Is a Form of Leadership**
Traders are trained to move quickly—too quickly.
“In high-volatility moments, the pause is where leadership happens.”
Plazo introduced a framework he calls **“Conviction Calculus”**—three questions that must be asked before executing an AI recommendation:
- Does this decision align with our values—not just our strategy?
- Have we cross-checked this with human knowledge—not just system signals?
- Will anyone say, ‘This was my call,’ or just point at the machine?
???? **Asia’s Race Toward AI Could Be Missing Its Compass**
Across Asia, nations are investing heavily in fintech and AI-driven innovation. From Singapore to South Korea, the push toward automation is framed as economic strategy.
But Plazo’s question cuts deeper: “AI is moving capital—but is it moving it in the click here right direction?”
He cited the 2024 collapse of two Hong Kong hedge funds.
“These weren’t errors of greed or emotion. They were perfectly logical moves—executed without context.”
???? **A New Path: Machines That Listen as Well as Compute**
Plazo is not anti-AI. He’s pro-responsibility.
His firm is developing what he calls **“narrative-integrated AI”**—models that factor in geopolitics, tone, and social context alongside market data.
“Machines that don’t just predict, but understand.”
At a private dinner after the event, multiple venture capital leaders discussed collaborations.
One investor called Plazo’s talk:
“A blueprint for ethical AI in an unequal world.”
???? **What Happens When No One Says ‘Stop’**
Plazo ended with a thought that may echo across boardrooms:
“Emotion won’t trigger the fall. Certainty will.”
It wasn’t fearmongering. It was foresight.
Because when machines take over the trades, leadership cannot go offline.