CIO

5 IT Leaders Share New Year’s Resolutions for 2026

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CIOs' 2026 resolutions focus on balancing AI and human intelligence, improving emotional and cultural skills over purely technical ones. They emphasize intentional AI deployment, prioritizing innovative and accountable solutions while mitigating technical debt. Key leaders highlight the importance of human-centered design in AI projects and the need for better collaboration between AI and human oversight to enhance efficiency and reliability in operations.

https://www.ciodive.com/news/5-it-leaders-new-years-resolutions-2026/808888/

7 Changes to the CIO Role in 2026

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CIO roles are evolving significantly due to AI, moving from IT support to strategic business partners. Key changes include:

  1. Focus on extracting value from AI, moving past experimentation.
  2. Shift from back-office operations to working closely with business leaders.
  3. Leading change management as AI reshapes work processes.
  4. Emphasis on modernizing data stacks to support AI needs.
  5. Strategic decisions on building versus buying AI solutions, tied to business value.
  6. Flexibility in platform selection for AI deployment.
  7. Transforming IT from a cost center to a revenue-generating function with AI-driven products.

https://www.cio.com/article/4107216/7-changes-to-the-cio-role-in-2026.html

How to Build an AI-Augmented Workforce: The CIO’s Guide

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AI-augmented workforce promotes human-AI collaboration to enhance productivity, not replace workers. By automating repetitive tasks, AI allows employees to focus on strategic thinking and creativity. Companies should prioritize employee training, ethical governance, and effective integration of AI tools. Key benefits include improved decision-making, innovation, and employee satisfaction. Best practices for implementation involve identifying use cases, redesigning workflows, and measuring ROI. Challenges include employee resistance, skills gaps, and ethical concerns. Future trends indicate more personalized AI assistants, predictive analytics, and a shift in employee roles towards strategic oversight in an increasingly AI-driven landscape.

https://www.techtarget.com/searchenterpriseai/tip/How-to-build-an-AI-augmented-workforce-The-CIOs-guide

10 Tough AI Questions for the 2026 Public-Sector CIO

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GovTech highlights shifting priorities for public sector CIOs in 2026, with AI surpassing cybersecurity as the top focus. Key concerns include accountability in AI decisions, deepfake challenges, unauthorized AI use, quantum threats, workforce implications, securing service supply chains, operational resilience, machine identity management, AI-related budget allocations, and digital sovereignty amid geopolitical risks. Effective AI integration requires addressing these complex issues for future governance and service delivery.

https://www.govtech.com/blogs/lohrmann-on-cybersecurity/10-tough-ai-questions-for-the-2026-public-sector-cio

Talent Is the Missing Ingredient in the AI Conversation

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TLDR: Enterprises struggle with AI adoption due to a lack of qualified talent and adaptive leadership structures. Successful AI integration requires leaders who understand systems and workflows, not just technology. The existing leadership roles need to evolve to meet the demands of AI, as companies must redesign processes and roles to leverage AI effectively. Without responsible design, AI efforts stall, highlighting the constraint is organizational readiness, not technological capability.

https://nationalcioreview.com/articles-insights/technology/artificial-intelligence/talent-is-the-missing-ingredient-in-the-ai-conversation/

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

Ask the Experts: When Ransomware Hits, Who Leads — CIO or CISO?

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The article emphasizes preparation and effective response strategies in cybersecurity, particularly during ransomware incidents, advocating for clear roles for CIOs and CISOs. Essential first steps post-attack include confirming the issue, containing the threat, and prioritizing business-critical functions for recovery. Proper preparation, with flexible incident-response components, enhances organizational resilience.

https://www.informationweek.com/incident-response/ask-the-experts-when-ransomware-strikes-who-takes-the-lead-the-cio-or-ciso-

Rethinking the CIO-CISO Dynamic in the Age of AI

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Organizations are restructuring CIO and CISO roles in response to digital transformation, AI, and increasing regulations. CIOs are expected to rapidly implement AI while keeping IT goals aligned with business needs. CISOs face new risks and wider attack surfaces, especially from AI tools. Reporting structures can create conflicts, especially if CISOs report to CIOs, potentially reducing security’s influence. Some recommend CISOs report to CEOs or legal instead. Alternative C-suite roles, such as Chief AI Officer, are emerging, reshaping how CISOs fit within organizations. Smaller organizations may outsource security or combine roles. Overall, strong collaboration between CIOs and CISOs is critical as AI brings new, unpredictable risks.

https://www.govinfosecurity.com/rethinking-cio-ciso-dynamic-in-age-ai-a-30211

InformationWeek CIO Corner: Dun & Bradstreet CTO Mike Manos

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Dun & Bradstreet CTO Mike Manos describes the company’s transition from a historical information-gathering business to a modern, cloud-first provider of data analytics. Manos, who joined in 2021, led a review of all business and IT operations, addressed technical debt, migrated infrastructure to the cloud, and invested in staff upskilling. He emphasized setting clear technology standards, focusing on essential needs, and assessing vendor ROI. The article offers more detail in the full interview and supplements with related industry content and resources.

https://www.informationweek.com/it-leadership/informationweek-cio-corner-dun-bradstreet-cto-mike-manos

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