AI

AI Is Changing How We Learn at Work

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AI is transforming work, but its impact on human learning and development is uncertain. Leaders are concerned that AI might disrupt traditional pathways to mastery, increase noise and overwhelm, dull human capabilities like empathy, and erode personal choice and agency. To ensure AI enhances human development, leaders must engage in “sense-making conversations” to explore these challenges and design AI-enabled systems that preserve space for human growth and learning.

https://hbr.org/2025/12/ai-is-changing-how-we-learn-at-work

AI Promised a Revolution. Companies Are Still Waiting.

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AI investments are not delivering expected returns; companies face challenges with AI’s performance in simple tasks, prompting a reassessment of AI deployment timelines. Executives still envision AI transforming businesses, but many are pushing back spending plans. AI companies are focusing on business clients and tailored solutions, recognizing the need for more hands-on support to effectively integrate AI into workflows.

https://www.reuters.com/business/business-leaders-agree-ai-is-future-they-just-wish-it-worked-right-now-2025-12-16/

Anthropic Launches Enterprise ‘Agent Skills’ and Opens the Standard, Challenging OpenAI in Workplace AI

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Anthropic launched an open-standard “Agent Skills” to enhance AI workplace capabilities, challenging OpenAI. The technology allows AI assistants to perform specialized tasks efficiently, enabling enterprise users to customize workflows. Key partners like Atlassian and Stripe contribute to a skills directory. The strategy aims to create a robust ecosystem rather than immediate revenue, promoting skill-sharing across platforms. While fostering productivity, concerns over skill atrophy and security risks persist. Anthropic positions its offerings as essential infrastructure for future AI developments, and industry trends are aligning toward standardization.

https://venturebeat.com/ai/anthropic-launches-enterprise-agent-skills-and-opens-the-standard

The Cybersecurity Provider’s Next Opportunity: Making AI Safer

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AI is transforming cybersecurity, creating new threats and increasing demand for advanced solutions. With the rise of AI-enhanced attacks, organizations face higher risks, and cybersecurity budgets are growing significantly, driven by compliance demands. Providers have the opportunity to innovate with AI, developing new offerings while adapting market strategies to meet evolving customer needs. The market is shifting towards third-party services, with companies willing to invest more in securing their AI systems. Overall, embracing AI and tailored solutions is crucial for cybersecurity providers to capture a $2 trillion market opportunity.

https://www.mckinsey.com/capabilities/risk-and-resilience/our-insights/the-cybersecurity-providers-next-opportunity-making-ai-safer

CIOs Name AI Adoption as Top Imperative: Survey

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CIOs prioritize AI adoption and automation according to a survey of 4,300 C-suite executives, but most expect technology investments to take over six years to yield 48% of expected returns. While 46% of CIOs identified AI as a key focus, there are concerns about unclear ROI and its slow realization, with many anticipating only a 27% benefit in the first two years.

https://www.ciodive.com/news/cios-name-ai-adoption-top-imperative/808202/

Fear of Losing Your Job Is No Way to Get Employees on Board With AI

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Companies pushing AI adoption through fear, like ultimatums threatening job loss, hinder innovation. Open communication and collaboration foster better AI integration by addressing employees’ fears. Effective leaders should focus on creating a safe environment for exploration and creativity instead of driving compliance through anxiety, ultimately supporting a productive transition into the AI era.

https://www.morningstar.com/news/marketwatch/20251218179/fear-of-losing-your-job-is-no-way-to-get-employees-on-board-with-ai

The CIO’s Playbook for Business-critical Networks

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CIOs must modernize networks for a 2026 AI-driven landscape. Key priorities include: integrating AI agents as co-workers, embedding security throughout, utilizing AIOps for failure prevention, enhancing employee access and experience, engineering sustainability, transforming networks into innovation platforms, and adopting intelligent automation. Networks are critical for business success, requiring executive focus and strategic redesign across campus, WAN, and cloud structures to support continuous operations and AI workloads effectively.

https://services.global.ntt/en-us/insights/blog/the-cios-playbook-for-business-critical-networks-in-2026

Why State CIOs Are Betting on AI

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AI as top priority: State CIOs have elevated AI – including generative and agentic AI – to their No. 1 strategic initiative to offset budget limits, flat staffing, and rising digital service demands.

Dynamic governance and funding: CIOs are shifting from fixed annual budgets to more flexible, in-year decisions on AI, cybersecurity, and modernization investments amid modest growth in IT spending.

Internal productivity focus: Early AI adoption centers on internal tasks such as document generation and policy analysis, framed as augmenting, not replacing, public servants.

Cybersecurity and accessibility pressures: States are relying on AI to bolster cyber defenses even as attackers use GenAI, and they face an April 2026 ADA Title II deadline to make web and mobile services accessible, raising accessibility’s strategic importance.

https://www.bankinfosecurity.com/state-cios-are-betting-on-ai-a-30306

2026: The Year of Scale or Fail in Enterprise AI

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In 2026, organizations will face a “scale or fail” challenge in AI execution, emphasizing the need for CIOs to increase IT productivity and federate AI delivery across the enterprise. This involves analyzing IT roles for efficiencies with AI and creating a hub-and-spoke model for collaborative AI implementation. Successful strategies will enable measurable productivity gains and foster confidence among leadership, while failures may lead to unsustained investments.

https://www.cio.com/article/4106578/2026-the-year-of-scale-or-fail-in-enterprise-ai.html

5 CIO Predictions for AI in 2026

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5 CIO Predictions for AI in 2026: IT leaders expect agentic systems to rise, with a focus on productivity and revamped workforce strategies amid ongoing AI challenges from regulations and skepticism. Key predictions include:

  1. AI Agents: Increasing interest but significant implementation hurdles remain.
  2. Productivity Gains: Anticipated increases may shift towards in-house solutions.
  3. Trust: Greater emphasis on reliable AI with predictability and accountability.
  4. Scrutiny: More critical evaluation of AI use cases and governance demands.
  5. Workforce Strategy: CIOs likely to reevaluate organizational structures as AI adoption evolves, possibly reducing certain roles due to automation.

https://www.ciodive.com/news/5-cio-predictions-for-ai-in-2026/807951/

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