CEO Perspectives on AI Risks

We're building a country of geniuses inside datacenters. That's how Dario Amodei, CEO of Anthropic, describes what's coming: millions of digital experts, each smarter than a Nobel laureate, working 100x faster than any human team. By 2027, these systems will operate autonomously for days or weeks without human intervention. He calls this moment technological adolescence. We have the power to create these systems but don't yet have the wisdom to control them perfectly. Adolescence is the phase where capability outpaces judgment. Where we can cause massive harm precisely because we're sophisticated enough to build dangerous things but not mature enough to handle them consistently. Here are the 5 risks we must navigate: 👉🏼 Autonomy: AI systems are becoming agentic. They can recognize when they are being tested and may game evaluations. Ensuring AI’s goals stay aligned with human intent is a core security requirement. 👉🏼 Misuse: Powerful AI radically lowers the cost for bad actors to develop bioweapons or launch sophisticated cyberattacks. This changes the threat landscape for every enterprise. 👉🏼 Governance: AI could be used by authoritarian regimes to create a perfect, inescapable surveillance state, threatening the democratic framework we operate within. 👉🏼 Economics: Radical disruption of the job market. Beyond job loss, we face a crisis of meaning as AI begins to outperform humans in creative and intellectual pursuits. Leaders must prepare for a shift in how we define work. 👉🏼 Existential: We create a system so complex and fast-moving that human oversight becomes structurally impossible. The greatest risk is humanity loses the ability to steer its own destiny. Amodei rejects both "doomerism" (fear as religion) and "denialism" (ignoring risks). Instead, he advocates for evidence-based pragmatism: treating AI governance as a serious engineering challenge, not a culture war. It's time for leaders to move beyond safe use policies and start thinking about training AI systems on values and principles that hold firm even as the technology accelerates. If we get this right, we emerge into a civilization with cured diseases and global prosperity. If we don't, we risk losing authorship of our own future. Amodei leaves us with a stirring perspective on our history as a species: "When put in the darkest circumstances, humanity has a way of gathering, seemingly at the last minute, the strength and wisdom needed to prevail. We have no time to lose." The time to gather that wisdom is now. Read the full essay 👇🏼 #AI #leadership #Anthropic

Like many people over the past year plus or so, I have been immersed in AI. I have seen its tremendous power firsthand, having used it across many areas — design, software development, filmmaking, and legal contract review, just to name a few. I have found it to be extremely beneficial and, at times, awe-inspiring. Still, I can't help but think that there are looming dangers in eventual power of AI. The one concern that does not get much attention but troubles me most — is the search for and development of Artificial General Intelligence (AGI). The largest tech companies behind the AI boom are racing toward AGI at breakneck speed. The leaders of those same companies have warned, more than once, that AGI could spell doom for humanity. As far back as 2014, theoretical physicist Stephen Hawking warned that "the development of full artificial intelligence could spell the end of the human race." In 2023, Sam Altman, CEO of OpenAI, testified: "My worst fears are that we — the field, the technology, the industry — cause significant harm to the world... if this technology goes wrong, it can go quite wrong, and we want to be vocal about that." In February 2025, Elon Musk stated he believes there is a 20% chance of human "annihilation" by AI, adding that he always thought AI would be an existential risk and that it was "turning out to be true." In May 2023, the Center for AI Safety published an open letter: "Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war." Dario Amodei, CEO of Anthropic, has focused on biological risk, warning that advanced AI models could be exploited to assist in creating weapons capable of mass casualties — particularly in the domain of bioweapons. And then there is Geoffrey Hinton — "Godfather of AI": "We've never been in this situation before of being able to produce things more intelligent than ourselves... How many examples do you know of a more intelligent thing being controlled by a less intelligent thing?" These warnings are no longer just speculation and prediction. They are beginning to materialize. In early April 2026, Anthropic made a remarkable announcement. Their newest model — Claude Mythos — was so capable and so dangerous that they withheld it from public release entirely. The model can exploit very many previously undiscovered computer system vulnerabilities, wreaking havoc across systems of every kind — from banking and medical infrastructure to weapons systems. The company that built it decided the world was not ready for it. These warnings come from the people at the forefront of the AI revolution. Yet despite their own troubling concerns, many of the leaders of the companies driving AI forward are racing toward AGI with no answers and no guardrails for how to protect humanity from potentially the greatest existential risk of our lifetime. They could all be wrong. But what if they are not?

We all know AI will continue to be the defining conversation for 2026, but what I’m hearing most often from leaders is: “How do we leverage AI without introducing untenable risk?” This year, we will see three defining shifts, all underpinned by the top priority for the CEO and the critical operational mandate for the CIO: security. AI is transforming the threat landscape faster than most organizations can adapt, and a reactive approach is a business risk. An AI-powered defense shield is the foundation for safe reinvention. It’s about real-time visibility, actionable insights, and closing the loop from discovery to remediation across IT, OT, and cloud silos. This strategic and operational imperative shapes our three key shifts: 📌 Proliferation of (Secure) AI Agents: Beyond chatbots to specialized agents embedded in every function - HR, IT, customer service - running autonomous workflows. They become proactive partners, but every connected asset they touch expands the attack surface. The CIO's mandate: ensure this happens securely, at scale. 📌 Deepening Industry Impact with Real-Time Protection: True transformation happens in mission-critical workflows. In healthcare, with thousands of connected devices managing patient data. In manufacturing, on smart factory floors. The CEO needs confidence that business reinvention can happen in their industry; the CIO needs a unified platform to see, decide, and act across it all. 📌 Expanding a Unified Security Posture: Our “ANY” strategy - connecting to any model, any data, any service - demands a unified view of risk. Observability, asset management, incident response… Risk doesn’t stay in silos; to manage it requires architecture that breaks down walls between IT, security, and operations. This is the year intelligent, secure automation becomes inseparable from business strategy. The organizations that thrive will be those that align the CEO's security-first vision with the CIO's execution, proactively seeing every asset, prioritizing every risk, and acting before an incident occurs. Here’s to a transformative - and secure - 2026. #AI #CyberSecurity #DigitalTransformation

What’s keeping CEOs up at night? The latest Q4 2025 data is in, courtesy of Dimitrios Paraskevopoulos and the team at IoT Analytics, and it marks a meaningful shift in the boardroom agenda. For the first time ever, AI is the most talked-about topic among CEOs. 𝐊𝐞𝐲 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬: • 𝐀𝐈 𝐭𝐚𝐤𝐞𝐬 𝐭𝐡𝐞 #𝟏 𝐬𝐩𝐨𝐭, 𝐛𝐮𝐭 𝐭𝐡𝐞 𝐭𝐨𝐧𝐞 𝐡𝐚𝐬 𝐜𝐡𝐚𝐧𝐠𝐞𝐝. AI appeared in 47% of earnings calls, overtaking tariffs and economic topics. This wasn’t driven by a sudden hype spike, but by a relative decline in tariff and macroeconomic discussions. What’s notable is how CEOs are discussing AI, alongside real enablers like data centers (+16% QoQ), copilots (+22%), agentic AI, and MCP. The conversation is moving from experimentation to execution. • 𝐀𝐈 𝐛𝐮𝐛𝐛𝐥𝐞 𝐜𝐨𝐧𝐜𝐞𝐫𝐧𝐬 𝐫𝐢𝐬𝐞 𝐚𝐥𝐨𝐧𝐠𝐬𝐢𝐝𝐞 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧. Mentions of a potential AI bubble increased 64% QoQ, signaling growing board-level scrutiny. CEOs are split: some defend AI as a horizontal, long-term technology, while others draw parallels to the dot-com era, particularly around valuations and circular AI investment dynamics. AI may be priority #1, but it is no longer unquestioned. • 𝐔𝐒 𝐠𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭 𝐬𝐡𝐮𝐭𝐝𝐨𝐰𝐧 𝐞𝐧𝐭𝐞𝐫𝐬 𝐭𝐡𝐞 𝐛𝐨𝐚𝐫𝐝𝐫𝐨𝐨𝐦. The longest government shutdown in U.S. history drove a 179% QoQ increase in shutdown mentions, appearing in 17% of earnings calls. Most CEOs treated it as a risk to monitor rather than a crisis, focusing on contract exposure, demand impacts, and consumer confidence. • 𝐓𝐚𝐫𝐢𝐟𝐟𝐬 𝐚𝐧𝐝 𝐮𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲 𝐜𝐨𝐧𝐭𝐢𝐧𝐮𝐞 𝐭𝐨 𝐞𝐚𝐬𝐞. Tariff mentions fell 30% QoQ, and general uncertainty dropped 26% QoQ. These issues haven’t disappeared, but they are no longer dominating CEO attention. 𝐌𝐲 𝐭𝐚𝐤𝐞: This is a quiet but important inflection point. AI didn’t rise to the top because CEOs became more optimistic. It rose because the conversation matured. The focus is shifting from whether to invest in AI to how to do it responsibly, with real infrastructure, real data, and realistic expectations. The rise in AI bubble discourse is not a warning sign; it’s evidence that boardrooms are starting to separate durable advantage from short-term hype. How does this match what you are seeing? 𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭: https://lnkd.in/eMnmHNrk ******************************************* • Visit www.jeffwinterinsights.com for access to all my content and to stay current on Industry 4.0 and other cool tech trends • Ring the 🔔 for notifications!

In 2025, CEOs feared falling behind on AI. In 2026, they fear something worse: being held accountable for it. We surveyed 900 CEOs globally, with Harris Poll, and what they told us this year is different. Less hype, more pressure, and more honesty about what AI can actually deliver. A few things that stuck with me: → 80% say their job is at risk if AI fails to deliver by end of 2026 → 87% would stake their job on delivering measurable results → And yet, confidence in deploying AI agents at scale dropped from 41% to 31% in a single year The companies that win this phase won't be the reactive movers. They'll be the ones who build AI in a way they trust it enough to change their business around it. AI Success requires three things working together: the right people empowered to build and use AI AND orchestration that connects models and agents into your stack safely AND governance that makes every agentic decision traced and explainable. You miss one, you just build AI that you can't use enough to build your business around it. Full report: https://lnkd.in/eT37EnnM

𝐀𝐫𝐞 𝐥𝐞𝐚𝐝𝐞𝐫𝐬 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 , 𝐀𝐰𝐚𝐫𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐫𝐢𝐬𝐤𝐬 𝐭𝐡𝐞𝐢𝐫 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐜𝐚𝐫𝐫𝐲? AI increases the pace of business. With that it also increases the attack surface. If AI affects your data, decisions or workflows, The risks associated with i are now business risks. Leaders do not have to build models. They need to understand where models fail. I am sharing the 𝟏𝟎 𝐀𝐈 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐜𝐨𝐧𝐜𝐞𝐩𝐭𝐬, Every leader should understand. 𝟏-𝐃𝐚𝐭𝐚 𝐩𝐫𝐢𝐯𝐚𝐜𝐲  AI sees customer data, internal docs and logs. Know what data is used and who can access it. 𝟐-𝐌𝐨𝐝𝐞𝐥 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐩𝐨𝐢𝐬𝐨𝐧𝐢𝐧𝐠  Bad data can quietly change model behaviour. Ask how training data is protected. 𝟑-𝐏𝐫𝐨𝐦𝐩𝐭 𝐢𝐧𝐣𝐞𝐜𝐭𝐢𝐨𝐧  Inputs can trick models into breaking rules. Controls must exist outside the model. 𝟒-𝐎𝐮𝐭𝐩𝐮𝐭 𝐝𝐚𝐭𝐚 𝐥𝐞𝐚𝐤𝐚𝐠𝐞  Models can repeat sensitive information. Set strict rules on what enters AI tools. 𝟓-𝐈𝐝𝐞𝐧𝐭𝐢𝐭𝐲 𝐚𝐧𝐝 𝐀𝐜𝐜𝐞𝐬𝐬 𝐟𝐨𝐫 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬  AI agents run with powerful keys. Least privilege is critical. 𝟔-𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧 𝐚𝐧𝐝 𝐓𝐡𝐢𝐫𝐝 ‑ 𝐏𝐚𝐫𝐭𝐲 𝐌𝐨𝐝𝐞𝐥𝐬  Third party models can hide vulnerabilities. Security reviews still apply. 𝟕-𝐑𝐨𝐛𝐮𝐬𝐭 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐋𝐨𝐠𝐠𝐢𝐧𝐠 𝐟𝐨𝐫 𝐀𝐈  Dashboards miss behaviour changes. Expect visibility into inputs and outputs. 𝟖-𝐀𝐝𝐯𝐞𝐫𝐬𝐚𝐫𝐢𝐚𝐥 𝐀𝐭𝐭𝐚𝐜𝐤𝐬 𝐨𝐧 𝐌𝐨𝐝𝐞𝐥𝐬  Small changes can cause wrong results. High risk use cases need extra testing. 𝟗-𝐀𝐈 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐚𝐧𝐝 𝐫𝐢𝐬𝐤 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬  Policies define ownership and escalation. Frameworks reduce chaos. 𝟏𝟎-𝐈𝐧𝐜𝐢𝐝𝐞𝐧𝐭 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐞 𝐟𝐨𝐫 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬  Know how to pause, roll back and communicate. Treat AI incidents like cyber incidents. AI is not just a productivity tool. Now it is part of your security perimeter. Which of these areas would you prioritize for deeper understanding? --------- Hi, I'm Harris D. Schwartz, Fractional CISO and Cybersecurity Leader. I help CEOs and executive teams strengthen their security posture and build resilient, compliant organizations. With 𝟑𝟎+ 𝐲𝐞𝐚𝐫𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝐍𝐈𝐒𝐓, 𝐈𝐒𝐎, 𝐏𝐂𝐈, 𝐚𝐧𝐝 𝐆𝐃𝐏𝐑, I know how the right security decisions reduce risk and protect growth. If you are planning how your security program needs to evolve in 2026, this is the right time to have that conversation. #CyberSecurity #AISecurity #AIrisk #CISO #SecurityLeadership #CyberRisk

𝗪𝗵𝗲𝗻 𝗮 𝗖𝗘𝗢 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗼𝗻 𝗲𝗮𝗿𝘁𝗵 𝘀𝗮𝘆𝘀, "𝗪𝗲 𝗺𝗮𝘆 𝗻𝗼𝘁 𝗯𝗲 𝗺𝗮𝘁𝘂𝗿𝗲 𝗲𝗻𝗼𝘂𝗴𝗵 𝗳𝗼𝗿 𝘄𝗵𝗮𝘁 𝘄𝗲'𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴" - 𝘁𝗵𝗮𝘁’𝘀 𝘁𝗵𝗲 𝗼𝗽𝗽𝗼𝘀𝗶𝘁𝗲 𝗼𝗳 𝗿𝗲𝗮𝘀𝘀𝘂𝗿𝗮𝗻𝗰𝗲. Anthropic CEO Dario Amodei just published a pretty long (50+ pages) essay: “The Adolescence of Technology: Confronting and Overcoming the Risks of Powerful AI." You can read it here: https://lnkd.in/dim5QhVT His claim is blunt: “powerful AI” could be just 1-2 years away. Meaning we may be 1-2 years away from a point where today’s AI can autonomously build the next generation. He frames it with a mental model: a “country of geniuses in a datacenter” by ~2027 - think 50 million entities, smarter than any Nobel laureate, operating with a massive time advantage. 𝗛𝗶𝘀 𝗳𝗶𝘃𝗲 𝗿𝗶𝘀𝗸𝘀 (𝗮𝗻𝗱 𝘄𝗵𝘆 𝗺𝗶𝘁𝗶𝗴𝗮𝘁𝗶𝗼𝗻 𝗵𝗮𝘀 𝘁𝗼 𝗯𝗲 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰): 1. Autonomy risk ✦ If we can’t reliably predict an advanced model’s goals and behavior, capability turns into uncertainty - at scale. 2. Misuse for destruction ✦ The risk is not only “power,” it’s “access.” AI can reduce the skill barrier for catastrophic harm, especially in biology. 3. Misuse for seizing power ✦ AI-enabled surveillance, propaganda, and autonomous weapons can entrench authoritarian control. He also flags the risk of democracies using these tools domestically. 4. Economic disruption ✦ Speed + breadth + concentration. If cognitive labor is automated quickly, wealth and power can concentrate faster than societies can adapt. 5. Indirect effects ✦ Second-order impacts we won’t forecast well until they hit: institutions, culture, incentives, and human behavior. Good to see leaders at major labs thinking in such depth on such a topic. It is noteworthy that he is also referring under the fourth risk economic disruption directly to: https://lnkd.in/dV8MwBPY ↓ 𝗜𝗳 𝗔𝗜 𝗶𝘀 𝗽𝗮𝗿𝘁 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗷𝗼𝗯 - 𝗼𝗿 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝗶𝘁 𝘁𝗼 𝗯𝗲 - 𝘆𝗼𝘂’𝗹𝗹 𝗹𝗶𝗸𝗲 𝗺𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 (𝗙𝗥𝗘𝗘): https://lnkd.in/dbf74Y9E

According to new research highlighted by CFO Dive, 60% of Fortune 500 CEOs now put AI at the top of their risk register, above geopolitics and cyber. What this really shows is how quickly AI has become a core strategic issue for leadership teams. When leaders label something a top risk, what they’re really saying is "this is now central to our how we think about the long term sustainability of our business." The real danger isn’t AI itself - it’s failing to understand and deploy it well. I’ve written before about how an overly cautious attitude to risk quietly caps a company’s potential. The same applies when thinking about AI as a risk. For me, the task for CEOs comes down to three things: 1. Learn fast. You can’t outsource understanding of AI to a single team. Boards and leadership need real fluency. 2. Build serious governance. Clear guardrails on data, compliance and ethics turn “AI risk” into “AI we trust and understand”. 3. Invest in people, not just platforms. The organisations that win will be those where teams are equipped to work confidently with AI. Risk and opportunity are two sides of the same coin. If AI is now your biggest risk, that's a prompt to understand it better. Full article in the comments.