AI in Trading 2026: When the implications of the Kill Switch Got Real

The new race for sovereignty, and rethinking how models are used If last week was about how fast AI adoption is moving – particularly in agentic workflows – this week delivered a short, sharp reality check. Anthropic was forced to abruptly suspend worldwide access to its two newest and most capable models, Fable 5 and the underlying […]

AI in Trading 2026: Closing the Enforcement Gap

Regulators are starting to deploy AI to surface what to investigate – when most firms have yet to even start proving what agents did. AI is increasingly becoming embedded in trading workflows. The governance frameworks on how agents reason together, influence each other, and produce decisions do not yet exist – and new research illustrates […]

AI in Trading 2026: The Boundary Wall Problem

Agentic AI is live in market infrastructure but the accountability architecture still stops at the firm wall This week the deployment pace caught up with the governance debate. Agentic AI entered mainstream market infrastructure in production at institutional scale from Broadridge. AI cyber risk crossed into the language of central banks and regulators as a […]

AI in Trading 2026: Time to Build the Governance, Not Just the Gadgets

Addressing when the model finds the vulnerability faster than the patch can follow Up until this week, discussions on AI in trading focused on what AI can deliver and how fast. This week saw a slew of regulatory bodies citing rising risks – particularly post-Mythos. Interestingly, the report from Cambridge Judge Business School not only […]

AI in Trading 2026: Who Controls the Agent?

From model risk to trajectory risk – the move to governing just what agents are allowed to do Building on last week’s TradeTech note, the debate continues to move from “how do we use AI?” to “what happens when AI becomes part of the execution, data, risk and control stack?” The regulatory signals, research, and […]

AI in Trading 2026: What we learnt from Tradetech Amsterdam

From LLMs & SLMs into systems, structure, and people #TradeTech2026 moved the AI debate further into trading – beyond LLMs & SLMs into systems, structure, and people. The emerging edge is increasingly less about access to data and models but how effectively firms integrate modular, real-time infrastructure to embed intelligence into workflows faster and more […]

AI in Trading 2026: From Innovation to Systemic Infrastructure

Moving Markets from Algorithm Oversight to AI System Control This week’s IMF Spring Meetings underscored what Rodrigo Buenaventura described as a “turning point” for global markets. AI, tokenisation, stablecoins, and quantum computing are converging to reshape market structure into a deeply interconnected system. But at the same time, the Financial Times highlights a growing policy gap […]

AI in Secondary Markets 2026: ChatGPT, OpenClaw – now Mythos Changes the Game

From Deployment to Containment – Why the AI Debate Just Shifted Again In the space of just a few days, the conversation around AI has shifted. The focus is no longer simply on how fast these systems can be deployed, but on how to control, govern, and constrain systems that are already approaching the limits […]

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