When earnings calls demand AI ROI, how can CIOs meet the challenge?

Earnings calls for tech companies are increasingly focused on AI ROI, as stakeholders demand tangible results from investments. CIOs face pressure to validate AI initiatives, transitioning from experimental enthusiasm to operational scrutiny. Effective communication of metrics and aligning AI projects with financial goals are crucial to maintaining support amid evolving expectations.

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IT Leaders Fast-5: Marc Hoit, North Carolina State University

Dr. Marc Hoit, CIO at North Carolina State University, emphasizes the importance of access and transparency in scaling technology across a large public university. He discusses the creation of a research computing unit to support faculty’s evolving needs and highlights ongoing challenges in cybersecurity communication, talent acquisition, and adapting to external budget pressures.

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Track, trace and govern: Don’t overlook AI outputs

AI-generated content often exists without proper governance, leading companies to face various risks, including legal and compliance issues. Effective data management requires tracking and managing AI outputs through centralized systems and cross-functional collaboration. As regulations evolve, proactive governance can enhance AI literacy and improve organizational efficiency while ensuring compliance.

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The stakes rise for the CIO role in 2026

CIO Shelley Seewald leads a lead-to-cash initiative at Tungsten Automation, reflecting a trend where CIOs are becoming integral to business strategy, combining technical skills with business acumen. In 2026, CIOs face heightened expectations in governance, AI integration, and data management, balancing innovation with risk and accountability in increasingly complex environments.

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A Revolution in Governance: How AI Will Make Boards More Effective

AI will enhance board effectiveness by improving information synthesis, efficiency, decisiveness, emotional intelligence, and strategic integrity. Rather than replacing directors, AI empowers them to address contemporary governance challenges, enabling boards to function more proactively and responsively. A stronger partnership between AI and human oversight can lead to better corporate governance.

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Mastering An Effective Executive Tabletop Exercise: Deriving Maximum Value And Impact

Running an effective executive tabletop exercise (TTX) can significantly benefit a company by identifying process gaps, enhancing understanding, and clarifying roles. Successful TTX requires careful planning, relevant scenarios, and full executive team participation. The exercise should avoid technical jargon, promote open dialogue, and result in actionable follow-up measures.

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AI is rewriting the CEO job description: Are you ready?

The CEO role is evolving due to AI’s transformative impact. Traditional tasks remain, but leaders must now orchestrate AI initiatives, ensure value alignment, navigate tensions, and consider broader ecosystem implications. Success requires balancing quick wins with long-term strategy while understanding AI’s ethical and cultural consequences for sustained viability in a changing economy.

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CIO role in unlocking strategic value: How to determine and implement AI use cases

CIOs are pivotal in identifying valuable AI use cases, bridging technology and business value. They must educate business leaders, co-create initiatives, and align with CEOs to foster AI’s transformative potential. With a grasp of analytical, generative, and agentic AI, CIOs can drive operational efficiency and substantial business improvements.

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The CIO hot seat: How to lead AI without becoming the scapegoat

CIOs have gained influence through AI but face increased accountability for AI outcomes, often without control over use cases. This misalignment creates pressure and highlights the need for clear ownership and governance. Embracing shared responsibilities and strategic foundations is essential for CIOs to thrive in their roles amidst AI challenges.

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7 cloud computing trends for leaders to watch in 2026

As we enter 2026, cloud technology continues to evolve rapidly, impacting how businesses manage and consume services. Key trends include optimizing AI infrastructure, pivoting to AI as a service, adopting AI agent meshes, navigating stricter regulations, facing rising costs, emphasizing cloud cost management, and investing in network optimization to enhance performance and efficiency.

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8 CIO recommendations for ERP implementation in 2026: Think agentic

Agentic AI is revolutionizing enterprise resource planning (ERP) by enhancing business processes and decision-making across various functions such as finance, supply chain, and HR. This integration enables organizations to transition from passive ERP tools to proactive AI-driven processes, potentially transforming business operations and influencing CIOs’ strategies for 2026.

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Why Leaders Need to Take Play Seriously

Play is essential for creativity, resilience, and innovation, not just a childhood pastime. As adults, we often neglect play, which can lead to burnout and stress. Rediscovering play enhances well-being and fosters deeper connections among leaders, encouraging a culture of curiosity and creativity in workplaces. Thus, play is vital for survival and fulfillment.

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Skeptical Intelligence: Disciplined Doubt for AI-Powered Innovation

Artificial Intelligence (AI) is viewed as a key transformational tool in organizations, yet the ability to critically question AI-generated insights, termed Skeptical Intelligence (SI), is becoming increasingly essential. SI, which focuses on disciplined inquiry and validation of claims, complements IQ and Emotional Intelligence (EQ), enabling leaders to navigate a complex decision-making landscape effectively.

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