At a regional summit of the next generation of economic leaders, 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.
“Profit isn’t the only thing on the line. So is principle.”
???? **Joseph Plazo: A Technologist Sounding the Alarm**
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.
“Optimisation is only part of the equation,” Plazo explained. “Direction, purpose—those remain human.”
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.
“Friction is not failure,” Plazo told the audience. “It is the space where judgment lives.”
Plazo introduced a framework he calls **“Conviction Calculus”**—three questions that must be asked before executing an AI recommendation:
- Are we outsourcing our ethics to an equation?
- Is there non-digital confirmation? What do experience, memory, and culture say?
- Can we stand by this choice if it goes wrong—publicly, transparently?
???? **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: “Are we building intelligence without wisdom?”
He cited the 2024 collapse of two Hong Kong hedge funds.
“No one made a mistake. But no one questioned the machine either.”
???? **Plazo’s Vision: Trading Systems with Moral Intelligence**
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.
“We don’t need more speed. We need better questions.”
That idea is already drawing attention.
One investor called Plazo’s talk:
“A necessary reckoning for financial technology.”
???? **The here Final Warning: Crashes Don’t Always Start Loudly**
Plazo ended with a thought that may echo across boardrooms:
“The next crash won’t come from fear,” he said. “It’ll come from logic—executed too quickly, by systems no one dared to question.”
It wasn’t fearmongering. It was foresight.
Because when machines take over the trades, leadership cannot go offline.