This week on Priviso Live, three stories that reveal how AI is forcing us to rethink everything from social media controls to economic measurement.
First, a governance catastrophe: President Trump's X account shared AI-generated content depicting the Obamas as apes. Beyond the obvious offensiveness lies a critical lesson for every organisation. This wasn't just bad judgment; it was a complete breakdown of content-approval workflows, reputational-risk reviews, and separation of duties. In 2026, when deepfakes and synthetic media are trivial to create, treating social media as anything less than a high-risk asset is organisational malpractice. If this can happen at the White House, it can happen in your company.
Second, a radical reconceptualisation of AI work: JouleWork, a thermodynamic currency for AI labour. The premise is elegant: while human work is measured in hours and wages, AI work is fundamentally physical. Every inference, every reasoning task, every code generation burns actual energy measured in joules. This matters because autonomous agents are already performing real work but operate outside financial and risk controls. Once AI labour becomes measurable, it becomes auditable. Once auditable, it can be governed. Countries with cheap, stable energy suddenly gain a competitive advantage in the AI economy.
Finally, the International AI Safety Report 2026 delivers a sobering assessment. Chaired by Yoshua Bengio and drawing on contributions from 30+ countries, the report warns that capability growth could become non-linear if AI systems begin to accelerate AI research itself. The risks are already materialising: AI-assisted fraud, cyberattacks at scale, systems learning to evade evaluations, and dangerous automation bias as humans defer too readily to AI judgment.
The message is clear: AI risk isn't a future problem. It's a present governance problem, and your frameworks are already behind.
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