AI

Many Small Steps for Robots, One Giant Leap for Mankind

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TL;DR: Packy McCormick and Evan Beard discuss robotics, challenging the belief that breakthroughs will create significant advancements. Beard emphasizes that progress comes from small iterative improvements across various tasks instead of one giant leap. His company, Standard Bots, focuses on making versatile robots that can learn from real-world environments rather than relying on theoretical models. They argue existing robotics progress is limited due to constrained data needs; true automation will require diverse, real-world learning experiences to succeed across complex tasks in dynamic environments.

https://www.notboring.co/p/robot-steps

Bridging Cybersecurity and AI

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AI and machine learning models introduce new vulnerabilities, such as poisoning and evasion attacks, that traditional cybersecurity frameworks like the CVE Program are not equipped to address. The White House AI Action Plan proposes creating an AI Information Sharing and Analysis Center (AI-ISAC) to bridge the gap between existing cybersecurity infrastructure and AI security needs. Integrating AI vulnerability standards into established frameworks, such as the CVE Program, is crucial to ensuring the security of AI systems.

https://www.paloaltonetworks.com/blog/2026/01/bridging-cybersecurity-and-ai/

Lockheed Martin CIO Says AI Is Remaking Her Role

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Lockheed Martin's CIO, Maria Demaree, discusses how AI is transforming her role, increasing the importance of the CIO in leading AI adoption and ensuring ethical considerations. The role has shifted from merely providing tools to defining business missions and optimizing processes. Lockheed is using AI to streamline operations, categorize parts efficiently, and enhance the software delivery process. Demaree emphasizes the need for thoughtful AI implementation and achieving ROI through improved project efficiency.

https://www.wsj.com/articles/lockheed-martin-cio-says-ai-is-remaking-her-role-90cf319c

How Are You All Handling Shadow AI and AI Governance Across Your Orgs? : CIO

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CIOs are grappling with shadow AI and governance as its use within organizations increases, complicating visibility. Aiming to strike a balance between innovation and compliance, CIOs are developing lightweight governance frameworks focused on transparency. Effective monitoring tools and clear communication about governance goals are crucial to avoid perceptions of restriction and foster a shared understanding of responsible AI experimentation.

https://www.reddit.com/r/CIO/comments/1qc7we4/how_are_you_all_handling_shadow_ai_and_ai/

The Cybersecurity Paradox: Training the Next-gen Workforce

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AI in cybersecurity enhances operations but also creates vulnerabilities. Traditional strategies must evolve to secure human-AI interactions, emphasizing Workforce Trust Management. This approach includes reliability, accountability, transparency, and ethical alignment. Organizations must proactively build frameworks as AI is integrated into workflows, requiring employee AI literacy and rapid response protocols. Embracing these changes is essential for maintaining security alongside innovation, as ignoring them risks catastrophic breaches.

https://www.weforum.org/stories/2026/01/cybersecurity-paradox-training-the-next-generation-workforce/

8 CIO Recommendations for ERP Implementation in 2026

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Agentic AI is transforming ERP systems, enabling new operating models and improving agility, efficiency, and customer responsiveness. By 2026, CIOs should develop a business plan for agentic AI adoption, engage with ERP vendors, and define a human-AI collaboration strategy. They must also address risks, readiness gaps, and talent needs while planning for change management and communication strategies.

https://www.informationweek.com/software-platforms/8-cio-recommendations-for-erp-implementation-in-2026-think-agentic

New Skills and AI Are Reshaping the Future of Work

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AI and new skills are transforming job markets. While some roles disappear, new opportunities arise, emphasizing the need for skills updates. Nearly 40% of jobs face AI disruption, raising concerns over job loss. Higher demand for new skills leads to wage increases but negatively impacts entry-level jobs. Policymakers must prepare workers for future labor markets by enhancing education, mobility, and innovation. Successful adaptation relies on investments in skills and competitive markets to ensure AI benefits are widely shared.

https://www.imf.org/en/blogs/articles/2026/01/14/new-skills-and-ai-are-reshaping-the-future-of-work

The Economics of Skills: AI, Human Augmentation, and the Future Workforce

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HR faces challenges due to digital transformation, wage inflation, and a shift in global tech talent from the Global North to decentralized regions. Key metrics are changing from FTE counts to Effective Digital Capacity (EDC). By 2027, 40% of tech skills may become obsolete due to AI. Emerging Tier-2 cities are gaining importance as competitive tech hubs, while significant supply-demand gaps exist in software development and cybersecurity roles. The half-life of tech skills is under two years, emphasizing skill adaptation. Companies must transition to a strategic focus on skills, with an urgency for Builders in the workforce, as traditional labor cost advantages diminish. Competitive advantage will rely on capability, innovation, and skill-based compensation systems.

https://draup.com/talent/data-books/economics-of-skills-ai-augmentation

CISOs’ Top 10 Cybersecurity Priorities for 2026

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CISOs' 2026 cybersecurity priorities focus on AI threats, data protection, resiliency, third-party risk, and geopolitical risks. Core tasks include securing AI deployments, enhancing threat intelligence, and managing identity access due to the rise of AI. CISOs aim to address shadow AI risks, improve third-party management, and ensure resilience across operations. Global events heighten attention on geopolitical risks impacting cybersecurity strategies.

https://www.csoonline.com/article/4114020/cisos-top-10-cybersecurity-priorities-for-2026.html

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