Today’s AI trading robots are based on a limited amount of historical data, which means that completely unknown market events, like the 10/10 liquidations or even last week’s selloffs, will leave agent trading models short of their goals.
These historical data-driven AI models have never experienced huge liquidations in a single day and would find this “very unusual,” Bitget CEO Gracy Chen said during a panel on agent trading bots at Consensus Hong Kong 2026. So such human intervention is necessary.
“As an exchange we have no plans to create our own LLM [large language model]. “But trading robots are a big thing,” Chen said. “Current AI robots are a bit like an intern: faster, cheaper but require a little supervision.”
However, eventually it will be more like a “full employee,” and in 3 to 5 years, AI will be able to replace many of us, Chen said.
These are sentiments heard regularly in the world of algorithmic trading when it comes to AI.
Even though complex LLM trading and machine learning technologies are rapidly improving, many people still believe that a human overlay is an essential part of the process, especially in situations such as the high volatility that has recently hit crypto markets.
Joining Chen on the panel, Saad Naj, founder and CEO of agent trading startup PiP World, agreed that the technology is in its infancy and that comes with risks. But he pointed out that 90% of day traders and retailers lose money.
“As humans, we are too emotional. We can’t compete with AI solutions,” Naj said.
