AI

10 AI Predictions For 2026: Top Experts Share New Trends

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The EU Commission, aiming to ensure smooth and predictable implementation of the AI Act, is preparing a comprehensive set of guidelines for 2026. These will offer practical directions on high-risk classifications, transparency, reporting obligations, quality requirements, responsibilities, and more. Special focus will be on simplifying research exemptions and clarifying legal overlaps, particularly for product development in medicines and medical devices. The Commission will also provide templates and direct support channels for stakeholders.

https://www.forbes.com/sites/bryanrobinson/2025/12/04/10-ai-predictions-for-2026-top-experts-share-new-trends/

CISA Publishes Security Guidance for Using AI in OT

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Global cybersecurity agencies released new guidance on safely deploying AI in operational technology systems, citing the high risks involved. OT is essential for critical infrastructure, and integrating AI can introduce risks such as model drift, safety bypasses, and process instability. Agencies urge thorough education on AI risks, a careful assessment of when to use AI, strong data controls, and transparent governance. Recommendations also emphasize the importance of monitoring and fail-safe processes, including human oversight. Experts note that while AI may enhance efficiency, its use in OT should be limited and highly disciplined, especially with high-risk models like large language models.

https://www.darkreading.com/cybersecurity-operations/cisa-publishes-security-guidance-ai-ot

An Interview With Atlassian CEO Mike Cannon-Brookes About Atlassian and AI

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Stratechery Interview: Atlassian CEO Mike Cannon-Brookes

Ben Thompson interviews Mike Cannon-Brookes, CEO of Atlassian, discussing the company's origins, growth, and innovation in software. Founded in 2002 with Jira as its first product, Atlassian emphasized cloud service and AI integration. Cannon-Brookes notes that their low-cost model and open-source approach facilitated rapid growth. The interview covers the company's journey, market strategies, and the influence of the dot-com era, highlighting their success in self-serve distribution and long-term customer relationships.

https://stratechery.com/2025/an-interview-with-atlassian-ceo-mike-cannon-brookes-about-atlassian-and-ai/

Amazon’s New AI Can Code for Days Without Human Help. What Does That Mean for Software Engineers?

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Amazon announced “frontier agents,” advanced AI systems capable of autonomously coding for hours or days, at its re:Invent conference. These agents—Kiro for software development, AWS Security Agent for security, and AWS DevOps Agent for IT operations—aim to automate the entire software development lifecycle with persistent memory, independent decision-making, and collaborative capabilities across tasks. Unlike existing tools, frontier agents learn from ongoing projects and can manage multi-repo changes simultaneously. While concerns about job impacts arise, Amazon emphasizes these tools enhance rather than replace human engineers, encouraging new practices and faster project completions. The company believes these agents can be applied beyond coding to various fields.

https://venturebeat.com/ai/amazons-new-ai-can-code-for-days-without-human-help-what-does-that-mean-for

CIOs Grapple With Role Change Amid AI Influx

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CIOs report role evolution due to AI, with two-thirds emphasizing business outcomes and collaboration between humans and AI. Nearly half say responsibilities for business value have increased, but many struggle with managing cross-functional initiatives. Confidence among CIOs is growing as they embrace AI, yet only 15% are using fully autonomous AI applications. The demand for automated IT operations is rising, prompting increased vendor support in AI solutions.

https://www.ciodive.com/news/CIO-role-AI-adoption-c-suite/806992/

Spy Vs. Spy: How GenAI Is Powering Defenders and Attackers

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Generative AI (GenAI) is transforming cybersecurity for both attackers and defenders. While adversaries use it for coding, phishing, and malware, defenders utilize it to analyze threats, enhance response, and detect vulnerabilities. The rapid evolution of GenAI complicates its quantification in the threat landscape. Adversaries leverage it for anti-analysis tactics, while defenders can use it to sift through vast data. Effective GenAI applications arise in vulnerability hunting and enterprise security, although its success relies on knowledgeable humans to guide its use.

https://blog.talosintelligence.com/spy-vs-spy-how-genai-is-powering-defenders-and-attackers/

Superagency in the Workplace: Empowering People to Unlock AI’s Full Potential

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AI's workplace potential is immense, akin to the steam engine's impact during the Industrial Revolution. Companies largely invest in AI but face challenges in achieving maturity, mainly due to hesitant leadership rather than employee readiness. Employees show eagerness for AI, often underestimating its integration into their roles. A McKinsey report indicates AI can boost productivity by $4.4 trillion, emphasizing the need for bold leadership to harness this technology effectively. As AI capabilities evolve, businesses must prioritize practical applications and support for employees, aligning technological adoption with strategic goals to remain competitive.

https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work

New Joint Guide Advances Secure Integration of Artificial Intelligence in Operational Technology

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CISA & ASD released a guide for secure AI integration in Operational Technology (OT), highlighting risks and principles to ensure safety in critical infrastructure. Key steps include: educate on AI, assess risks, establish governance, and embed security.

https://www.cisa.gov/news-events/news/new-joint-guide-advances-secure-integration-artificial-intelligence-operational-technology

Turning AI From a Cost Into a Catalyst: Rethinking The CIO’s Role In The AI Era

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CIOs are largely focused on AI governance and safe use, but struggle to show clear financial returns from AI. The traditional cost-based IT budget model limits the ability to use technology as a strategic driver of business transformation. True value from AI requires rethinking operating models across the whole organization, not just adding AI to old processes. CIOs need to shift from cost managers to value creators, measuring ROI with new approaches and working with business leaders to treat technology as a long-term investment and growth driver.

https://www.forbes.com/sites/peterbendorsamuel/2025/12/03/turning-ai-from-a-cost-into-a-catalyst-rethinking-the-cios-role-in-the-ai-era/

You Can’t Fall Behind in AI if You Never Start

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CISO Series discusses AI integration in organizations, highlighting the challenge of securing it and the need for AI expertise due to a scarcity of trained professionals. Host David Spark and CISO Mike Johnson emphasize building internal talent for AI roles rather than hiring externally. Guest John Barrow shares the importance of internal context and trust in cybersecurity roles, advocating for proactive communication and strategic GRC positioning within the boardroom to align security with business goals while managing budget constraints.

https://cisoseries.com/you-cant-fall-behind-in-ai-if-you-never-start/

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