In a stirring and unorthodox lecture, AI trading pioneer Joseph Plazo issued a warning to the next generation of investors: AI can do many things, but it cannot replace judgment.
MANILA — The applause wasn’t merely courteous—it carried the weight of contemplation. Within the echoing walls of UP’s lecture forum, handpicked scholars from across Asia anticipated a celebration of automation and innovation.
Instead, they got a warning.
Plazo, the man whose algorithms flirt with mythic win rates, didn’t deliver another AI sales pitch. He began with a paradox:
“AI can beat the market. But only if you teach it when not to try.”
Phones were lowered.
It wasn’t a sermon on efficiency—it was a meditation on limits.
### Machines Without Meaning
Plazo systematically debunked the myth that AI can autonomously outwit human investors.
He displayed footage of algorithmic blunders—algorithms buying into crashes, bots shorting bull runs, systems misreading sarcasm as market optimism.
“ Most of what we call AI is trained on yesterday. But investing happens tomorrow.”
His tone wasn’t cynical—it was reflective.
Then came the core question.
“ Can your code feel the 2008 crash? Not the price charts—the dread. The stunned silence. The smell of collapse?”
Silence.
### When Students Pushed Back
Bright minds pushed back.
A doctoral student from Kyoto proposed that large language models are already picking up on emotional cues.
Plazo nodded. “Yes. But sensing anger is not the same as understanding it. ”
Another student from HKUST asked if real-time data and here news could eventually simulate conviction.
Plazo replied:
“You can simulate storms. But you can’t fake the thunder. Conviction isn't just data—it’s character.”
### The Tools—and the Trap
He shifted the conversation: from tech to temptation.
He described traders who waited for AI signals as gospel.
“This is not evolution. It’s abdication.”
Yet he made it clear: AI is a tool, not a compass.
His firm uses sophisticated neural networks—with rigorous human validation.
“The most dangerous phrase of the next decade,” he warned, “will be: ‘The model told me to do it.’”
### Asia’s Crossroads
In Asia—where AI is lionized—Plazo’s tone was a jolt.
“Automation here is almost sacred,” noted Dr. Anton Leung, AI ethicist. “Plazo reminded us that even intelligence needs wisdom.”
In a follow-up faculty roundtable, Plazo urged for AI literacy—not just in code, but in consequence.
“Teach them to think with AI, not just build it.”
Final Words
His closing didn’t feel like a tech talk. It felt like a warning.
“The market,” Plazo said, “is not a spreadsheet. It’s a novel. And if your AI doesn’t read character, it won’t understand the story.”
There was no cheering.
They stood up—quietly.
Another said it reminded them of Steve Jobs at Stanford.
Plazo didn’t sell a vision.
And for those who came to worship at the altar of AI,
it was the sermon they didn’t expect—but needed to hear.