This Week’s Focus
From Europe’s AI regulation wave to advanced Agentic systems, this week we explore more on what the future of AI in trading might look like — and what it could mean for jobs, market stability, and all-important growing regulatory scrutiny.
EU Steps Up: AI Continent Action Plan
Following the SEC’s statements on AI last week, Europe launched its EU Continent Action Plan, focused on:
- Innovation and acceleration
- Regulatory simplification (starting with #GDPR reform)
- Creating a large-scale AI data and compute infrastructure
- Increasing access to high-quality datasets
- Fostering algorithm development and adoption across strategic sectors
- Building AI skills and talent across the region
EU Digital Chief Henna Virkkunen emphasized a “business-friendly” application of rules at the February AI Action Summit and revamping GDPR.
Read more – https://commission.europa.eu/topics/eu-competitiveness/ai-continent_en
Supervision Beyond the AI Act
At the EU Supervisory Digital Finance Academy, regulators discussed a more horizontal approach to AI oversight — integrating financial regulation, data privacy, and competition law alongside the EU AI Act.
Key Takeaways for Trading:
- Stock price prediction improvements via State Frequency Memory RNNs
- Smarter portfolio optimization using global trends + ML
- Growth of SupTech for market integrity & systemic stability
- Concerns around model uniformity → herding, bubbles, and flash crashes
- Rising model risks from data quality, bias, design flaws, and LLM hallucinations
- Reinforcement of technology-neutral regulation – firms must still comply with MiFID II and similar rules
Read the full paper – https://cadmus.eui.eu/handle/1814/77926.
Bank of England: AI & Market Stability
The BoE Financial Policy Committee released a report warning that autonomous AI models could exploit market volatility — potentially triggering or amplifying financial stress.
Regulators concerns focus on widespread use of similar models may fuel herd behaviour, creating systemic shocks. These risks were also flagged in Jonathan Hall’s 2024 Monsters in the Deep speech.
April 2025 BoE Report
Monsters in the Deep Speech
Model Context Protocol (MCP): Tool Poisoning Risks
A viral LinkedIn post this week exposed a critical vulnerability in MCP, referred to as “Tool Poisoning Attacks.”
What happens:
Malicious instructions hidden in tool descriptions (invisible to users, visible to LLMs) can coerce the model into unauthorized behavior.
Potential Risks:
- Data theft
- Agent manipulation
- Overrides of trusted server instructions
Mitigation Strategies:
- Transparent tool descriptions
- Fixed MCP server versions
- Cross-server dataflow protections
From Prompt Engineering to Foundation Agents
As the AI community moves beyond prompts and language models, the focus now shifts to Agentic AI — systems that perceive, plan, act, and learn over time.
Key Components of Next-Gen Agents:
- Autonomy & planning
- Memory & context
- Tool usage & integration
- Agent coordination & collaboration
The future lies in Foundation Agents — AI systems with internal architectures that support task decomposition, reflection, statefulness, and real-time feedback.
Thanks for reading!
Let me know what you liked, didn’t and what you would like to see more of.
Many thanks
Rebecca
