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There is a one-in-five chance of AI killing millions
Most boards discuss AI risk in terms of hallucinations, data leakage, bias and compliance. Those are the manageable risks.The harder risks are loss of control, dangerous capabilities, cyberattacks, weaponisation, concentrated power and the industrialisation of misinformation. There is a one-in-five chance of AI gaining dangerous weapons capabilities or causing mass harm that could kill millions in the next five years. You also might want to read “If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI”.
The disturbing part is not whether those estimates are precisely right. It is that organisations are accelerating deployment while assuming someone else—the model provider, regulator or government—is responsible for the consequences. Competitive pressure makes this worse. Every organisation acts rationally by moving faster. Collectively, they create a race nobody fully controls.
You do not need to accept every superintelligence argument to recognise that low-probability, irreversible risks require a different standard of governance
The leadership question
What would your organisation refuse to build or deploy—even if doing so meant falling behind a competitor?
The future fitness move
Run a catastrophic-risk pre-mortem on your AI strategy. Identify how your systems could be misused, escape meaningful oversight or create harm beyond your organisation.
The other prompts:
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AI risk isn’t siloed: Your governance shouldn’t be either
Most organizations govern AI in isolation, tracking models and agents, monitoring outputs and enforcing policies apart from the rest of their operations. However, AI does not run in isolation because it depends on vendors, relies on infrastructure, drives business outcomes and introduces risk across every layer of the enterprise.
https://www.ibm.com/think/insights/ai-risk-is-not-siloed
Full text: Keynote speech by Chinese President Xi Jinping at opening ceremony of 2026 World AI Conference
As ancient Chinese observed, “A man of wisdom adapts to changes; a man of knowledge acts by circumstances.” With AI advancing at a staggering speed, we must ensure its development is for the positive, for good and for humanity. We must make its oversight and governance precise and effective, and constantly refine measures to forestall loss of control. We should always guide AI development with human wisdom and international consensus, so that AI can truly become a mighty force that increases the well-being of humanity and advances human civilization.
http://english.scio.gov.cn/m/topnews/2026-07/18/content_118605932.html
Jensen Huang says AI agents could drive a 5-10x computing boom: “100 billion agents and billions of robots”
Instead of a billion people using computers, we will have 100 billion agents and billions of robots all using computers
https://thenewstack.io/huang-semiconductor-tenfold-ai-agents/
Is AI Making You Less Skilled? The Hidden Cost Of Letting Machines Think For You
AI deskilling could be quietly eroding our ability to write, code, think and make decisions as we become increasingly reliant on artificial intelligence.
AI sovereignty isn’t owning the stack. It’s staying in control when conditions change.
AI sovereignty is everywhere right now, from national policy agendas to multibillion-dollar investments in chips, data centers and cloud infrastructure. But what does it actually mean?
https://www.ibm.com/think/news/ai-sovereignty-staying-in-control
The data scientist is dead — long live the data science conductor
AI coding assistants are freeing up data scientists to get closer to the heart of data science: iteration. Here’s how the role is evolving as a result.
https://www.cio.com/article/4196942/the-data-scientist-is-dead.html
Data Management Is Dead. Long Live Data Management
Data Management Is The Organizational Foundation Of AI
Your Data Was Built for Humans. Agentic AI Readiness Means Something Different.
Closing the Agentic AI Data Integrity Gap requires unified, context-rich, and governed data that agents can reliably reason with and act on.
Elevating the IoT: How AI is introducing a new era of connectivity
The global AI in IoT market has grown rapidly within the last year, with its value reaching $4.08 billion in 2025, and forecast to reach $6.45 billion by 2035. This progress reflects a wider industry shift, as with the rise of AI organizations are increasingly looking towards a more intelligent and connected future to achieve more from their IoT deployments.
https://www.techradar.com/pro/elevating-the-iot-how-ai-is-introducing-a-new-era-of-connectivity
