strategy

6 Questions to Guide Your AI Strategy

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MIT Sloan senior lecturer George Westerman outlines six key questions for organizations to consider when developing AI strategies, emphasizing that success depends more on transforming business operations than on superior algorithms. These questions address setting a shared ambition, effective governance to balance progress and risk, scaling AI initiatives, ensuring a solid technological foundation, cultivating a culture that embraces rapid experimentation, and equipping employees with the skills and support needed for AI adoption. Practical approaches from companies like HCA Healthcare and DBS Bank illustrate how aligning strategy, culture, and governance can drive AI’s value across enterprises.

https://mitsloan.mit.edu/ideas-made-to-matter/6-questions-to-guide-your-ai-strategy

How CIOs Can Avoid the AI Surprise Bill

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CIOs face the risk of unexpectedly high AI costs due to decentralized purchases, unpredictable usage scaling, and hidden expenses such as agentic AI and shadow AI subscriptions. To prevent budget overruns, CIOs are adopting practices like creating AI cost centers with chargeback models, setting real-time usage thresholds, monitoring autonomous agent activity, standardizing AI model selection, and applying FinOps principles tailored for consumption-driven AI spending. These measures help maintain financial visibility and align AI investments with business value while avoiding surprise invoices.

https://www.techtarget.com/searchcio/feature/How-CIOs-can-avoid-the-AI-surprise-bill

The Evolving Skill Set of the CIO

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Organizations face challenges finding CIOs who combine strong communication, technical expertise, commercial awareness, and change management skills to meet expanding business and technology demands, especially amid AI adoption. Modern CIOs increasingly act as strategic leaders driving enterprise-wide transformation, requiring a balance of managerial and technical capabilities to align technology investments with business outcomes and navigate continuous digital change.

https://www.ciodive.com/news/CIO-skill-set-AI-adoption-efforts/826288/

Former Citigroup CISO Blauner on What Makes a Great Leader

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Charles Blauner, former CISO at major banks including Citigroup, reflects on the evolution of the CISO role from a technical function to a strategic leadership position requiring resilience, communication, and business acumen. He emphasizes the importance of mentorship and community in cybersecurity, the unique challenge CISOs face from active adversaries, and how AI will automate mundane tasks but not eliminate cybersecurity jobs. Blauner envisions the future of cybersecurity expanding into operational resilience, aligning security more closely with critical business processes to strengthen overall organizational continuity.

https://www.darkreading.com/cybersecurity-operations/former-citigroup-ciso-blauner-great-security-leader

When Cyber Attacks Happen: Helping Organisations Recover

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The National Cyber Security Centre (NCSC) offers new guidance to help organisations manage and recover from highly disruptive cyber attacks through a three-stage framework: immediate response, building a recovery programme focused on restoring core business functions, and long-term rebuilding to enhance security and resilience. The guidance emphasizes the importance of rapid defensive actions, engaging expert incident responders, and business-led recovery efforts, while also advocating for proactive preparation including regular testing and practice of incident response plans. This approach aims to support organisations in minimizing disruption, maintaining critical operations, and emerging stronger after cyber incidents.

https://www.ncsc.gov.uk/blogs/when-cyber-attacks-happen-helping-organisations-recover

AI and Workplace Productivity: What Leaders Need to Know in 2026

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Gallup’s data indicate that while AI tools have improved individual productivity for many employees, they have yet to produce significant organizational-level productivity gains, largely due to a lack of workflow redesign and insufficient manager support. Frequent AI use correlates with better integration into workflows and active managerial encouragement, which together drive deeper adoption and transformative impacts on work processes. Additionally, uneven AI adoption across industries and roles, combined with employee anxiety about job security, highlights the critical need for clear AI strategies and proactive change management led by managers to realize AI’s potential benefits and mitigate risks.

https://www.gallup.com/workplace/713063/ai-workplace-productivity.aspx

3 Cybersecurity Issues That Should Keep Every CEO Awake at Night

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Cybersecurity has shifted from a technical issue to a critical leadership challenge, with three key concerns for CEOs: the growing disconnect between executive perception and the complex reality of cybersecurity risks, organizational inertia that hampers adaptation to evolving cyber threats, and accelerating technological disruptions like AI, supply chain complexity, and quantum computing. These issues demand executive attention to governance, investment, and cross-functional coordination beyond traditional IT-focused approaches. CEOs must embed cybersecurity into overall business resilience and leadership to ensure their organizations evolve fast enough to meet the rapidly changing threat landscape.

https://www.cio.com/article/4199585/3-cybersecurity-issues-that-should-keep-every-ceo-awake-at-night.html

7 Issues Impacting AI Strategies — and How CIOs Should Respond

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CIOs in 2026 face seven key challenges in shaping effective AI strategies, including increased pressure to demonstrate clear ROI, aligning AI initiatives with business transformation goals, and managing often underestimated AI infrastructure costs. They must prioritize AI use cases that deliver measurable business value, improve organizational AI fluency, address data readiness issues, and foster trust in AI outputs, especially in high-stakes environments. Successfully navigating these issues requires measured innovation, cost optimization, and a strategic focus on integrating AI with broader business objectives.

https://www.cio.com/article/4198030/7-issues-impacting-ai-strategies-and-how-cios-should-respond.html

The Token Debate: What CIOs Can Learn From the Laws of Thermodynamics

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CIOs should shift focus from tracking AI token consumption to measuring the business value generated per token by applying principles from thermodynamics: conservation of energy, entropy, and exergy. This approach encourages managing AI use as an economy of intelligence—maximizing return on tokens, minimizing wasted tokens (“token entropy”), and enhancing token exergy, or the conversion of AI activity into meaningful business outcomes—thereby optimizing enterprise AI investments for strategic impact rather than mere cost efficiency.

https://www.cio.com/article/4198914/the-token-debate-what-cios-can-learn-from-the-laws-of-thermodynamics.html

What Is RPA? A Revolution in Business Process Automation

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Robotic process automation (RPA) uses software bots governed by business logic to automate repetitive, rules-based tasks across enterprise workflows, enabling organizations to reduce costs, increase accuracy, and free up employees for higher-value work. Successful RPA implementation requires careful design, IT involvement, governance, and change management, and can be enhanced by integrating AI technologies for intelligent automation that handles more complex processes. Leading enterprises such as Siemens Mobility and the US Marine Corps demonstrate RPA’s impact on operational efficiency, while the evolving market includes various RPA tools and certifications to support scalable deployments.

https://www.cio.com/article/227908/what-is-rpa-robotic-process-automation-explained.html

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