What the Machines Still Can't Do: Joseph Plazo’s Hard Truths for the Next Generation of Investors on the Boundaries of Artificial Intelligence
What the Machines Still Can't Do: Joseph Plazo’s Hard Truths for the Next Generation of Investors on the Boundaries of Artificial Intelligence
Blog Article
In a bold and sobering address, fintech visionary Joseph Plazo challenged the assumptions of the next generation of investors: AI can do many things, but it cannot replace judgment.
MANILA — What followed wasn’t thunderous, but resonant—it reflected a deep, perhaps uneasy, resonance. At the packed University of the Philippines auditorium, future leaders from NUS, Kyoto, HKUST and AIM came in awe of AI’s potential to dominate global markets.
What they received was something else entirely.
Joseph Plazo, long revered as a maverick in algorithmic finance, refused to glorify the machine. 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
In a methodical dissection, Plazo attacked the assumption that AI can fully replace human intuition.
He displayed footage of algorithmic blunders—algorithms buying into crashes, bots shorting bull runs, systems misreading sarcasm as market optimism.
“Most models are just beautiful regressions of 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 drop—the fear. The disbelief. The moment institutions collapsed like dominoes? ”
No one answered.
### When Students Pushed Back
The Q&A wasn’t shy.
A doctoral student from Kyoto proposed that large language here models are already detecting sentiment and adjusting forecasts.
Plazo nodded. “ Yes. But knowing someone is angry doesn’t mean you know what they’ll do. ”
Another student from HKUST asked if real-time data and news could eventually simulate conviction.
Plazo replied:
“You can model lightning. But you don’t know when or where it’ll strike. Conviction isn’t math. It’s a stance.”
### The Tools—and the Trap
His concern wasn’t with AI’s power—but our dependence on it.
He described traders who surrendered their judgment to the machine.
“This is not evolution. It’s abdication.”
But he clarified: he’s not anti-AI.
His systems parse liquidity, news, and institutional behavior—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 will miss the plot.”
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.