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strong relationships with the sellside help the buy-side achieve their desired outcomes when it comes to liquidity access,” he adds.
“ I don’ t see this, so inherently human, aspect of dealing being replaced by AI any time soon. On balance, I do think we are a long way away from AI being able to consistently mimic cognitive functions associated with all types of human intelligence.”
Notably, a further argument for AI lies in balancing human expertise and AI capabilities as the most effective way to gain the most success from integrating this technology.
Specifically, this refers to implementing AI functions to challenge human functionalities, and push for the best outcomes we can produce.
“ I think the expertise is really in the hands of the human, and everyone is talking about having the human in the loop. But for us, it’ s more the other way around- we use AI to challenge the output of human intelligence, reduce our blind spots and mitigate our investment biases,” Timothee Consigny, chief technology officer at H20 Asset Management, argues.
However, Consigny stresses that this theory should not remove the need for human intelligence completely, and a healthy balance remains key.
He adds:“ I think it’ s really a double-edged sword when you implement these kinds of systems or solutions. If AI starts doing too much, people risk becoming intellectually lazier rather than smarter. For example, when reviewing a trade analysis and
30 // TheTRADE // Q2 2026