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“AI Highlights Existing Problems and Makes Them Bigger”: Insight at FMLS:25 on Data Challenges

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Tareq Sikder
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“AI Highlights Existing Problems and Makes Them Bigger”: Insight at FMLS:25 on Data Challenges

Make Money Online

Wednesday, 24/12/2025 | 17:02 GMT by
Tareq Sikder

  • Panelists of “Secret Agent Deploying AI for Traders at Scale 1” warn over-reliance on AI risks errors; accuracy of data is essential for decision-making.
  • Experimentation with AI tools is easier for retail and smaller firms than large institutions.
  • Watch the full video interview from Finance Magnates London Summit 2025.

At the Finance Magnates London Summit 2025, industry leaders
convened to discuss the changing role of artificial intelligence in trading
during the panel “Secret Agent Deploying AI for Traders at Scale 1” Moderated
by Joe Craven, Global Head of Enterprise Solutions at TipRanks, the session highlighted how AI is reshaping workflows, enhancing decision-making, and creating
both opportunities and challenges for market participants.

Craven opened by framing AI as a tool to make complex data
more digestible for retail investors, highlighting TipRanks’ work in
integrating linguistic technology and machine learning into financial
platforms. Panelists David Dyke, Head of Engineering – Wealth at CMC Markets,
Guy Hopkins, Founder & CEO of FairXchange, Ihar Marozau, Chief Architect of
Capital.com, and Rebecca Healey, Founder of MindfulMarkets.AI offered varied
perspectives on AI adoption.

AI as a Tool for Retail Investors

Hopkins described AI as “a solution looking for a problem,”
noting that while algorithmic
and model-driven trading are well-established, interest has surged around
generative AI and large language models. Healey added, “People can’t make sense
of all the information coming at them. We’re potentially moving into the world
of a headless EMS, where access to information is customizable and personal.”

Regulatory and Operational Challenges

Panelists highlighted compliance and operational hurdles.
Marozau explained, “AI output must be auditable and explainable,” while Dyke
cautioned, “You can use that to think that you’re making progress, but without
it being checked correctly by the experts, you can’t explain why you’ve come to
a particular conclusion.”

Hopkins noted a human tendency to over-trust AI:
“There is a kind of abdication of responsibility when people start to rely on
these tools.”

Addressing risk mitigation, Healey emphasized accurate data
and differentiating AI types: “An institutional asset manager building
execution models may spend six months deciphering broker data
before starting an AI model. AI has highlighted existing problems in the
industry and made them bigger.”

From left Joe Craven, David Dyke, Guy Hopkins, Ihar Marozau, and Rebecca Healey at FMLS:25

Hopkins illustrated practical application: LLMs
aren’t deployed directly in calculations due to unpredictability but are used
to understand user intent and connect to deterministic agents. Dyke described
similar implementations at CMC
Markets, where AI monitors customer communications while human oversight
remains critical.

Workforce Implications

The panel explored AI’s impact on workforce development.
Dyke suggested AI could reduce friction for newcomers, supporting learning.
Hopkins warned that automating junior tasks could limit experiential learning
for developing senior professionals.

Healey countered, arguing AI allows
learning to change: “Rather than just having learned experience on equities,
you might need learned experience covering all asset classes, which you
couldn’t do manually.” Marozau emphasized that knowledge is increasingly
commoditized, shifting focus to conceptual understanding and adaptable user
interfaces.

December 2025 Compliance Report: Key insights from CySEC’s Investor Guide 2025. Learn which practices to avoid, educate clients, and keep AI, digital tools & affiliates compliant. Download your Free report: https://t.co/gVs7w2T9h7#Compliance #CySEC pic.twitter.com/pgQfxPA23k

— Finance Magnates (@financemagnates) December 24, 2025

Practical Concerns and End-User Benefits

Audience questions raised concerns about AI maturity,
mistakes, and overconfidence. Panelists highlighted VIP coding tools and
experimentation frameworks that allow safe testing. Healey noted smaller firms
and retail investors can
experiment more freely than heavily regulated institutions.

Panelists repeatedly emphasized personalization and
efficiency as main benefits. Healey said AI enables traders to respond rather
than react, improving optionality across assets and regions. Hopkins added that
AI helps users assimilate data quickly, enhancing decision-making. Dyke
highlighted AI’s educational value, providing judgment-free environments for
learning.

Same app, different users, different outcomes. Check out Microsoft Purview for user-aware protection.
https://t.co/crYxmCxyrJ #PurviewSDK #purview #datagovernance #microsoft #microsoft365 #microsoftsecurity pic.twitter.com/N9soZdCV0u

— Microsoft Mechanics (@MSFTMechanics) December 8, 2025

Risks and Market Considerations

The discussion touched on potential risks of accelerating
workflows, such as increased volatility and momentum. Panelists stressed the
necessity of keeping humans in the loop. Healey referenced the move from T+2 to
T+1 settlement as an example of AI enabling fundamentally different market
engagement rather than simply speeding up processes.

AI Advances Trading, Human Control Remains

Closing the panel, consensus was clear: AI in trading is a
powerful but complex tool. Its transformative potential lies in
personalization, data synthesis, and workflow automation, but human oversight,
regulatory compliance, and rigorous data governance remain indispensable.

As
Hopkins summarized, “Regulators and practitioners are all over AI getting it to
production on the trading floor faces significant headwinds.”

The panel highlighted that while AI is reshaping the
industry, success depends on combining machine intelligence with human
judgment, ensuring both innovation and accountability in financial markets.

At the Finance Magnates London Summit 2025, industry leaders
convened to discuss the changing role of artificial intelligence in trading
during the panel “Secret Agent Deploying AI for Traders at Scale 1” Moderated
by Joe Craven, Global Head of Enterprise Solutions at TipRanks, the session highlighted how AI is reshaping workflows, enhancing decision-making, and creating
both opportunities and challenges for market participants.

Craven opened by framing AI as a tool to make complex data
more digestible for retail investors, highlighting TipRanks’ work in
integrating linguistic technology and machine learning into financial
platforms. Panelists David Dyke, Head of Engineering – Wealth at CMC Markets,
Guy Hopkins, Founder & CEO of FairXchange, Ihar Marozau, Chief Architect of
Capital.com, and Rebecca Healey, Founder of MindfulMarkets.AI offered varied
perspectives on AI adoption.

AI as a Tool for Retail Investors

Hopkins described AI as “a solution looking for a problem,”
noting that while algorithmic
and model-driven trading are well-established, interest has surged around
generative AI and large language models. Healey added, “People can’t make sense
of all the information coming at them. We’re potentially moving into the world
of a headless EMS, where access to information is customizable and personal.”

Regulatory and Operational Challenges

Panelists highlighted compliance and operational hurdles.
Marozau explained, “AI output must be auditable and explainable,” while Dyke
cautioned, “You can use that to think that you’re making progress, but without
it being checked correctly by the experts, you can’t explain why you’ve come to
a particular conclusion.”

Hopkins noted a human tendency to over-trust AI:
“There is a kind of abdication of responsibility when people start to rely on
these tools.”

Addressing risk mitigation, Healey emphasized accurate data
and differentiating AI types: “An institutional asset manager building
execution models may spend six months deciphering broker data
before starting an AI model. AI has highlighted existing problems in the
industry and made them bigger.”

From left Joe Craven, David Dyke, Guy Hopkins, Ihar Marozau, and Rebecca Healey at FMLS:25

Hopkins illustrated practical application: LLMs
aren’t deployed directly in calculations due to unpredictability but are used
to understand user intent and connect to deterministic agents. Dyke described
similar implementations at CMC
Markets, where AI monitors customer communications while human oversight
remains critical.

Workforce Implications

The panel explored AI’s impact on workforce development.
Dyke suggested AI could reduce friction for newcomers, supporting learning.
Hopkins warned that automating junior tasks could limit experiential learning
for developing senior professionals.

Healey countered, arguing AI allows
learning to change: “Rather than just having learned experience on equities,
you might need learned experience covering all asset classes, which you
couldn’t do manually.” Marozau emphasized that knowledge is increasingly
commoditized, shifting focus to conceptual understanding and adaptable user
interfaces.

December 2025 Compliance Report: Key insights from CySEC’s Investor Guide 2025. Learn which practices to avoid, educate clients, and keep AI, digital tools & affiliates compliant. Download your Free report: https://t.co/gVs7w2T9h7#Compliance #CySEC pic.twitter.com/pgQfxPA23k

— Finance Magnates (@financemagnates) December 24, 2025

Practical Concerns and End-User Benefits

Audience questions raised concerns about AI maturity,
mistakes, and overconfidence. Panelists highlighted VIP coding tools and
experimentation frameworks that allow safe testing. Healey noted smaller firms
and retail investors can
experiment more freely than heavily regulated institutions.

Panelists repeatedly emphasized personalization and
efficiency as main benefits. Healey said AI enables traders to respond rather
than react, improving optionality across assets and regions. Hopkins added that
AI helps users assimilate data quickly, enhancing decision-making. Dyke
highlighted AI’s educational value, providing judgment-free environments for
learning.

Same app, different users, different outcomes. Check out Microsoft Purview for user-aware protection.
https://t.co/crYxmCxyrJ #PurviewSDK #purview #datagovernance #microsoft #microsoft365 #microsoftsecurity pic.twitter.com/N9soZdCV0u

— Microsoft Mechanics (@MSFTMechanics) December 8, 2025

Risks and Market Considerations

The discussion touched on potential risks of accelerating
workflows, such as increased volatility and momentum. Panelists stressed the
necessity of keeping humans in the loop. Healey referenced the move from T+2 to
T+1 settlement as an example of AI enabling fundamentally different market
engagement rather than simply speeding up processes.

AI Advances Trading, Human Control Remains

Closing the panel, consensus was clear: AI in trading is a
powerful but complex tool. Its transformative potential lies in
personalization, data synthesis, and workflow automation, but human oversight,
regulatory compliance, and rigorous data governance remain indispensable.

As
Hopkins summarized, “Regulators and practitioners are all over AI getting it to
production on the trading floor faces significant headwinds.”

The panel highlighted that while AI is reshaping the
industry, success depends on combining machine intelligence with human
judgment, ensuring both innovation and accountability in financial markets.

Make Money Online Tareq Sikder

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A Forex technical analyst and writer who has been engaged in financial writing for 12 years.

  • 2032 Articles
  • 34 Followers

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    What makes an update worth covering in financial media?

    According to Yam Yehoshua, Editor-in-Chief at Finance Magnates, editorial focus starts with relevance: stories that serve the industry, support brokers and technology providers, and help decision-makers navigate their businesses.

    A reminder that strong financial journalism is built on value, not volume.


    What makes an update worth covering in financial media?

    According to Yam Yehoshua, Editor-in-Chief at Finance Magnates, editorial focus starts with relevance: stories that serve the industry, support brokers and technology providers, and help decision-makers navigate their businesses.

    A reminder that strong financial journalism is built on value, not volume.

    What makes an update worth covering in financial media?

    According to Yam Yehoshua, Editor-in-Chief at Finance Magnates, editorial focus starts with relevance: stories that serve the industry, support brokers and technology providers, and help decision-makers navigate their businesses.

    A reminder that strong financial journalism is built on value, not volume.


    What makes an update worth covering in financial media?

    According to Yam Yehoshua, Editor-in-Chief at Finance Magnates, editorial focus starts with relevance: stories that serve the industry, support brokers and technology providers, and help decision-makers navigate their businesses.

    A reminder that strong financial journalism is built on value, not volume.

    What makes an update worth covering in financial media?

    According to Yam Yehoshua, Editor-in-Chief at Finance Magnates, editorial focus starts with relevance: stories that serve the industry, support brokers and technology providers, and help decision-makers navigate their businesses.

    A reminder that strong financial journalism is built on value, not volume.


    What makes an update worth covering in financial media?

    According to Yam Yehoshua, Editor-in-Chief at Finance Magnates, editorial focus starts with relevance: stories that serve the industry, support brokers and technology providers, and help decision-makers navigate their businesses.

    A reminder that strong financial journalism is built on value, not volume.

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