“THE MACHINES ARE TRADING. BUT WHO’S STILL THINKING?”

“The Machines Are Trading. But Who’s Still Thinking?”

“The Machines Are Trading. But Who’s Still Thinking?”

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Inside the auditorium of the Asian Institute of Management, Joseph Plazo—AI investor and founder of Plazo Sullivan Roche Capital—delivered not predictions, but a pointed pause.

As the Philippines builds its reputation as a technology hub — the atmosphere inside AIM’s lecture hall was not electric, but charged—with thought.

Plazo, a man whose trading systems are trusted by institutional investors across continents and have posted near-perfect results in volatile markets, did not arrive to dazzle.

“Delegating decisions doesn’t absolve responsibility.”

???? **When the Innovator Becomes the Interrogator**

He doesn’t throw stones from the sidelines. He shaped the system that now dominates.

Which makes his unease all the more compelling.

“Optimisation is a tool, not a compass.”

He referenced an early pandemic incident: an AI under his firm flagged a short trade on gold—right before central bank intervention reversed market expectations.

“We stopped it. It crunched numbers, not nuance.”

???? **Delay Isn’t a Bug. It’s a Human Feature.**

Plazo warned against the growing cultural obsession with speed—particularly in finance.

“Machines may win milliseconds. But humans protect meaning.”

He introduced a three-question model he calls **Conviction Calculus**—a checklist not for technical performance, but for ethical clarity:

- What does this say about who we are?
- Does this decision consider factors machines miss—public mood, historical echoes, lived experience?
- Are we hiding behind the algorithm?

???? **Asia’s AI Boom—and the Accountability Gap**

The investment in algorithmic systems is massive, and largely unregulated.

Plazo asked a harder question: “The software is evolving—but is the oversight?”

AI models executed flawlessly—right into catastrophe.

“The systems are functional—but are they wise?”

???? **Beyond the Bot: Plazo’s Push for Narrative AI**

Plazo isn’t calling for a retreat from technology.

He is instead building what he terms **“narrative-integrated AI”**—systems that assess not just numbers, but context, tone, and geopolitical undercurrents.

“A good algorithm predicts price. A better one understands pattern. The best? Purpose.”

The idea drew immediate attention.

One called the model:

“What regulation failed to build, this framework might.”

???? **The Next Market Failure May Begin With a Perfectly Executed Mistake**

Plazo closed read more with a sentence that now circles boardrooms like a quiet echo:

“It won’t come from fear. It will come from code—unquestioned, unchallenged.”

Not a prophecy of doom—but a call for discernment.

Because in a world ruled by automation, the last act of leadership may simply be to ask: why?

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