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LATEST EDITION - OUT NOW
Copyright © 2026 Actuarial Post. Created by Zero-One Design Ltd
As AI moves from software into the physical world, risk evolves. Physical AI introduces new questions around liability, governance and insurability for organizations and insurers. For the past two years, most discussion around AI has focused on software. However, the next wave of AI will move beyond the screen and into the physical world. From early warehouse deployments to emerging eldercare applications and autonomous systems operating in public spaces, the scope of physical AI is expanding rapidly fundamentally changing both opportunity and risk.
The proposed cap on salary sacrifice contributions for workplace pension savers caused more concern than may have been warranted. The annual threshold for such contributions will be set at £2,000 from April 2029 as outlined by the chancellor. But besides this being three years away, even once it has been implemented, salary sacrifice will still possess tax-efficient benefits. That means employers should continue to educate their workers on its merits.
MCP connects AI agents to tools and data, while agent-to-agent architectures let specialist AI systems collaborate, helping make actuarial technology more automated, scalable and accessible. Just as the insurance industry has begun to understand Generative AI and Agentic AI, another set of technologies has emerged that promises to make AI systems much more useful in practice. These are multi-agent systems or agent-to-agent communication, and Model Context Protocol (MCP).