[ T R A D E T E C H 2 0 2 5 | B U Y- S I D E V I E W ]
standardisation to ensure easy access to essential information. Ensuring that critical information is available instantly, without delays or friction to traders, portfolio managers, and control teams is key.”
adoption, alongside management of outliers, nonstandardised metrics, and translating insights into actionable strategies.
For Benjamin Mahe, head of high touch trading at AXA Investment Managers, integrating a variety of data sources, such as market data, execution venues and real-time trading data is essential to enhancing the accuracy of TCA.
Speaking on a panel, he said:“ Ensuring the quality and timeliness of this data, while keeping the lowest possible costs for clients, will be crucial to stay in the game.”
Mahe also highlighted the possible trend of increased AI adoption as beneficial in identifying patterns in trading costs, however identified real-time data exchange as essential to ensure integration between an OMS and TCA provider.
“ Achieving this requires some degree of
Artificial intelligence – friend or foe? AI has become increasingly central to TradeTech conversations in recent years and this year’ s conference was no different. Although it is still firmly at the“ growth stage” in capital markets, its presence in industry discourse is growing increasingly stronger.
Speaking at the automation and analytics panel, Stuart Lawrence, head of European equity trading at UBS Asset Management, asserted that AI is not currently a key consideration for the industry, however he expects it to gain significant traction over the next five to ten years.
“ Obviously we need oversight and compliance but it ' s whether or not we need this for AI at the moment. The final step in the evolution would be using AI to actively pick where we should go with tools such as algo wheels, and I think a lot of the data is already there.”
Despite this, buy-side consensus around AI appears to be on the up. A recent Coalition Greenwich report from May 2025 revealed that the tool gained significant traction in recent years, indicating that over a five-year time horizon, 35 % of industry leaders are more optimistic about generative AI’ s potential, while 43 % of the buy-side highlights the tool as a possible“ game changer”.
However, wariness around AI’ s potential remains potent amongst
Issue 84 // thetradenews. com // 49