technology

Why CIOs Must Lead AI Experimentation, Not Just Govern It

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CIOs should lead AI experimentation, not just govern it, by fostering a culture of learning and experimentation. This involves making AI tools accessible, empowering employees to use them, and redefining investment criteria to value learning and iteration. By doing so, CIOs can drive innovation and ensure their organizations stay ahead of the curve.

https://venturebeat.com/technology/why-cios-must-lead-ai-experimentation-not-just-govern-it

The 2026 Talent Reckoning: Beyond Degrees and Certifications

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CIOs in 2026 prioritize skills over degrees for IT hiring, emphasizing learning agility and adaptability. Traditional degree requirements are declining, with over half of employers removing them. They seek practical skills, microcredentials, and candidates' real-world experience to gauge potential. New hiring strategies include skills assessments and job simulations. Microcredentials signal ongoing learning and initiative but don’t replace degrees in certain fields. CIOs must adapt talent strategies to retain employees amidst AI implementation and changing workplace dynamics.

https://www.techtarget.com/searchcio/feature/The-talent-reckoning-Beyond-degrees-and-certifications

Digital Colleagues, AI Agents Reshaping the ERP Workforce Model

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ERP Today highlights the evolution from assistive corporate AI to autonomous agents in enterprise operations, predicting significant revenue growth through agent-based automation. 90% of leaders expect a 25% revenue increase in three years, emphasizing the need to redefine roles and governance frameworks. Successful organizations must modernize data pipelines and adopt AI-native models while ensuring compliance and observability. Case studies illustrate efficiency gains from automation, necessitating a shift in focus for process owners towards supervisory roles over agent-driven workflows.

https://erp.today/digital-colleagues-ai-agents-reshaping-the-erp-workforce-model/

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

2026 and Beyond: Urgent Need for Integrated Cybersecurity Strategies in Evolving Industrial Landscape

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Integrated cybersecurity strategies are now essential in industrial environments due to increasing threats and past lessons from 2025. Organizations must enhance risk management, improve IT/OT collaboration, and adopt a proactive security approach. Nation-state actors target critical infrastructure, exploiting vulnerabilities through persistent access rather than immediate disruption. Zero trust principles must adapt to legacy systems while balancing safety. Digital transformation complicates risk management, necessitating governance across IT and OT. Unified strategies involving risk quantification and governance are critical for operational resilience in 2026.

https://industrialcyber.co/features/2026-and-beyond-urgent-need-for-integrated-cybersecurity-strategies-in-evolving-industrial-landscape/

Unlocking AI Potential: a CIO’s Roadmap for Investment

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CIOs should focus on AI as a business strategy, not a separate initiative. Successful AI investment requires a venture capital mindset, with expectations that only 10% of pilots will succeed. Implementing strong change management is essential for AI adoption, emphasizing top-down and bottom-up efforts alongside fostering AI literacy via an “AI Champions Network.” Framing AI as a partner enhances employee engagement and productivity. The CIO's role is to ensure agility, align AI efforts with core business problems, and cultivate a strategic, disciplined approach to AI investment.

https://fastcompany.co.za/fast-company/business/2025-12-14-unlocking-ai-potential-a-cios-roadmap-for-investment/

Gartner Delivers CIO Guide to Deploying Emerging Technology

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The article describes Gartner analyst Gene Alvarez’s three-step approach for CIOs evaluating emerging technologies. First, CIOs should define their organization’s risk “persona” (pioneer, fast follower, or late adopter) and ensure alignment on risk appetite across leadership. Second, they should evaluate specific technology use cases by balancing business value and feasibility, prioritizing those with high impact and realistic implementation potential, and using tools like Gartner’s Hype Cycle to inform adoption timing. Third, CIOs need to assess organizational readiness across technical, financial, vendor, managerial, and external feasibility, including workforce willingness to adopt and broader market and regulatory conditions. Alvarez recommends tools like an emerging technology radar and stresses that decisions must answer what tech to use, how to apply it, and when to deploy it, with business value as the central criterion, despite increased overall digital investment.

https://www.informationweek.com/it-strategy/gartner-delivers-cio-guide-to-deploying-emerging-technology

Tech Trends 2026: AI Comes of Age

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Shift from pilots to scale: AI is moving from experimentation to broad deployment, forcing enterprises to rethink operations, org design, and infrastructure.

Five core AI forces: Key trends include physical AI and robotics, agentic AI as a digital workforce, an AI infrastructure cost reckoning, AI-native tech orgs, and AI-driven cyber risk and defense.

Hybrid infrastructure strategies: Leading firms are mixing cloud, on-prem, and edge to control exploding AI costs and meet latency and performance needs.

New org models and roles: Tech orgs are becoming AI-native, product-led, and human–agent hybrid, with new roles and governance structures.

Signals to watch: Adjacent areas like synthetic data, neuromorphic computing, AI wearables, biometrics, and generative engine optimization may shape the next wave of AI-driven change.

https://deloitte.wsj.com/riskandcompliance/tech-trends-2026-ai-comes-of-age-5076eb16

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

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/

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