AI tokens and the ‘tokenpocalypse’ (opens in new tab)

A credible AI governance framework starts from the assumption that AI is both a risk and an investment: it needs guardrails for harm and discipline for cost. At minimum, that framework should cover four pillars: Policy and ethics: clear rules about acceptable use, data protection, safety thresholds, and high‑risk applications that require special scrutiny. Architecture and platform: centralised AI platforms or gateways that route traffic, enforce access controls, and give you observability ov...