At a regional summit of Asia’s most promising technocrats and business students, 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?”
???? **The Man Behind the Model—Now Questioning Its Impact**
He isn’t speaking from the sidelines. 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.
And yet, his concern is clear: accuracy means little without accountability.
“Speed is seductive. But context is critical.”
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. It was a machine doing math, not reading history.”
???? **Machines Act Fast. But Leadership Sometimes Waits.**
AI’s appeal lies in its instant execution. But at what cost?
“We must remember that a moment of hesitation can protect reputations—and futures.”
Plazo introduced a framework he calls **“Conviction Calculus”**—three questions that must be asked before executing an AI recommendation:
- Who takes responsibility if the code is flawless—but here the outcome disastrous?
- 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: “AI is moving capital—but is it moving it in the 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.”
Regional investors are exploring what responsible algorithmic finance might look like.
One investor called Plazo’s talk:
“A reminder that the tools we build still need human hands at the wheel.”
???? **The Collapse That Could Begin in Silence**
Plazo ended with a thought that may echo across boardrooms:
“We won’t be victims of chaos—but of unchecked confidence.”
Not a warning against AI—but a demand for wisdom to go with it.
Because when machines take over the trades, conscience cannot be coded out.