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86% Of Enterprises Have Deployed AI Agents. Just 34% Trust Them
Organisations are giving AI agents increasing authority to act, decide, communicate and execute. But authority is moving faster than trust. That creates a dangerous contradiction: companies are deploying systems they do not fully understand, cannot reliably predict and may struggle to stop once something goes wrong.
The risk is not just a bad answer. An agent can approve the wrong transaction, expose sensitive information, trigger an operational failure, mislead a customer, break a regulatory rule or quietly repeat a flawed decision at scale. A human mistake is usually contained. An agentic mistake can be automated, distributed and multiplied before anyone notices.
The leadership question
Do you trust all your AI agents?
Run an agent trust audit. Every deployed agent should be reviewed monthly. What it decides unsupervised, who signs off, what proves the sign-off happened, what triggers a kill switch.
The other prompts:
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The big reason Einstein would never have used AI
Irrespective of whether AI counts as actual “intelligence” or not, the fact is that outsourcing the growth and refinement of your critical thinking skills means you not only don’t develop those skills yourself, but the ones you already have begin to decay.
https://bigthink.com/starts-with-a-bang/einstein-ai/
Want experts in 10 years? Keep AI away from your beginners today
In mid-June, the Norwegian government announced that primary school students would essentially stop using generative AI starting this fall. A few months earlier, in Syracuse, New York, the law firm Barclay Damon adopted an internal rule: For their first three years, junior lawyers must produce their work without AI, and only then check it against the tool.
AI teaches a bitter biology lesson
The most successful AI breakthroughs involved humans getting out of the way and allowing increasingly powerful computers to take over.
https://www.semafor.com/article/07/17/2026/ai-teaches-a-bitter-biology-lesson
AI adoption and business acceleration are changing the expectations of technology risk management
AI presents new types of risk and accelerates business processes to a speed that most technology and enterprise risk functions can’t handle
The Semantic Layer is the Ultimate Battlefield in the Era of Agentic AI
How the shift from human dashboards to autonomous agents transformed a forgotten BI feature into the most expensive architectural war in data engineering
Practical people lessons for scaling AI adoption
It’s about people
https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/rewired-takes-practical-people-lessons-for-scaling-ai-adoption
