productivity

How Generative and Agentic AI Shift Concern From Technical Debt to Cognitive Debt

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Generative and agentic AI shifts focus from technical debt (issues in code) to cognitive debt (loss of shared understanding among developers). Cognitive debt accumulates as teams rush, leading to confusion about design decisions and system functionality. It's crucial to recognize that speed without comprehension is unsustainable. Teams must establish strategies to mitigate cognitive debt, such as ensuring at least one team member understands AI-generated changes, documenting reasoning, and promoting shared knowledge through regular reviews. Recognizing signs of cognitive debt is essential for long-term software health, especially as AI becomes more integrated into development processes.

https://margaretstorey.com/blog/2026/02/09/cognitive-debt/

How the Growing AI Workforce Is Changing the CIO Role

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CIOs are evolving to manage hybrid teams comprising humans and AI agents, shifting from tech managers to workforce orchestrators amidst the rise of AI in businesses. AI agents help automate repeatable tasks in IT and operations but require clear governance and careful implementation to ensure accountability and effectiveness. CIOs must strategically assess which tasks suit AI, focusing on low-risk, high-effort responsibilities. Measuring AI agent productivity involves more than cost—considering accuracy, reliability, and overall value is crucial. Challenges include governance, talent management, and fostering organizational change to embrace AI integration.

https://www.cio.com/article/4126383/how-the-growing-ai-workforce-is-changing-the-cio-role.html

How Top CISOs Solve Burnout and Speed up MTTR Without Extra Hiring

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Top CISOs address SOC burnout and improve MTTR by prioritizing sandbox-first investigations and automating triage processes. This strategy reduces decision fatigue, lowers manual workload, and increases efficiency without requiring additional hiring. As a result, SOCs experience faster alert resolution, reduced escalations, improved detection rates for threats, and enhanced team retention. Effective utilization of evidence-based responses through platforms like ANY.RUN streamlines operations and fosters a more sustainable work environment.

https://thehackernews.com/2026/02/how-top-cisos-solve-burnout-and-speed.html

Copilot Tips That Keep Slides, Spreadsheets, and Meetings Moving Fast

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Microsoft 365 Copilot boosts productivity through AI features for creating presentations, automating tasks, and improving meetings. Key benefits include automated dashboards, enhanced collaboration, personalized communication, and multilingual support, helping professionals streamline workflows and focus on strategic tasks, ultimately transforming daily operations into efficient outcomes.

https://www.geeky-gadgets.com/copilot-tips-microsoft-365/

Two Kinds of AI Users Are Emerging. The Gap Between Them Is Astonishing.

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AI users split into two types: “power users” leveraging advanced AI tools for productivity, often non-technical, and casual users sticking to basic interactions with AI. Microsoft Copilot is criticized for underperformance in enterprise settings, limiting true AI potential. Enterprises face risks due to rigid IT policies that hinder innovation and AI adoption. Smaller companies, unhindered by legacy systems, often experience greater productivity gains with AI. The future suggests successful workflows will emerge from bottom-up initiatives, emphasizing the necessity of user-friendly APIs and secure access to AI tools.

https://martinalderson.com/posts/two-kinds-of-ai-users-are-emerging/

11 Cool Things Copilot Can Do in Excel

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Microsoft’s Copilot AI assistant in Excel is becoming increasingly useful for spreadsheet work. It can perform various actions, including cleaning up spreadsheets, creating new columns or rows, generating pivot tables, applying conditional formatting, and creating charts and graphs. Copilot can also explain formulas, create custom formulas, summarize spreadsheets, identify trends or unusual values, calculate hypothetical projections, and be embedded within cells for further functionality.

https://www.computerworld.com/article/4119411/11-cool-things-copilot-can-do-in-excel.html

Most Workers Spend 3+ Hours Per Week Cleaning up AI Workslop

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TLDR: Workers spend 3+ hours weekly revising low-quality AI outputs, known as “AI workslop.” Despite this, 92% believe AI boosts productivity, indicating it saves more time than it costs. Key issues stem from AI in data analysis and untrained employees, leading to negative consequences like rejections and lost clients. Training can improve outcomes, with 94% of trained workers citing productivity gains. Accountability in AI-generated work remains crucial.

https://zapier.com/blog/ai-workslop/?utm_source=Iterable&utm_medium=email&utm_campaign=itbl-gbl-pgv-ooc-_all__blog_ai_workslop_20260126-ctn

The Coordination Tax, CodeGood

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AI is transforming company structures by reducing the need for headcount dedicated to coordination. Small firms, leveraging AI, can operate with significantly fewer employees while maintaining or increasing efficiency. Traditional roles focused on coordination are diminishing, as AI can handle tasks faster and cheaper. Executives must recognize the extent to which their roles are reliant on coordination rather than valuable judgment. Companies that adapt to this shift towards smaller teams supported by AI will provide competitive advantages, making sense of whether their work is truly irreplaceable or merely patterned responses that AI can replicate.

https://codegood.co/writing/the-coordination-tax

Managers Are Unprepared to Lead a Human-agent Hybrid Workforce

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Managers unprepared for hybrid workforce with AI agents; work nature changes as tasks shift from humans to autonomous systems, requiring new leadership approaches and collaboration strategies. Skills in agent orchestration may overshadow domain expertise, risking workforce capability. Companies must rethink career metrics and nurture strategic, judgment-based skills as AI handles execution tasks, fostering a need for intentional team collaboration amidst AI integration.

https://digiday.com/sponsored/managers-are-unprepared-to-lead-a-human-agent-hybrid-workforce/

Three Things to Know About Implementing Workplace AI Tools

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Summary: AI tools in workplaces may disrupt workflows and impair performance, often affirming poor judgment rather than enhancing decision-making. Research indicates that human-AI combinations typically underperform compared to their individual capabilities. Before implementation, leaders should assess potential benefits and drawbacks of AI for employee performance.

https://sloanreview.mit.edu/article/three-things-to-know-about-implementing-workplace-ai-tools/

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