What Top Performers Do Differently with AI—and Why They See the Biggest Benefits

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Research shows that AI boosts productivity most for top performers who leverage it to enhance their inherent strengths, enabling them to focus on higher-value activities rather than routine tasks. While AI provides some benefits to all workers, its greatest impact comes from integrating AI within systems that amplify the skills of high achievers, influencing firms’ approaches to hiring, training, and team organization.

https://hbr.org/2026/10/what-top-performers-do-differently-with-ai-and-why-they-see-the-biggest-benefits

What Will Happen to Indian IT?

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India’s IT and BPO sector has been a critical driver of economic growth, accounting for about seven percent of GDP and a significant portion of exports by leveraging low-cost, English-speaking technical labor. However, the rise of AI technologies capable of automating routine coding and back-office tasks threatens to disrupt this model by reducing demand for human labor, prompting Indian IT firms to shift toward higher-value, AI-augmented services and a leaner workforce. While revenues have held steady so far, the long-term outlook raises concerns about the sustainability of India’s services-led growth and its broader economic implications.

https://asteriskmag.com/issues/15/what-will-happen-to-indian-it

AI Won’t Empty the Software Factory: Why the New Engineers Act Like Foremen

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AI is transforming software engineers into overseers who guide AI-generated code through quality control, intent setting, and governance rather than replacing them outright. As AI accelerates coding output, engineers’ roles shift toward ensuring safe, secure, and contextually appropriate deployments by maintaining standards and applying critical thinking, especially in complex enterprise environments. This evolution underscores the continued and growing demand for skilled engineers who manage AI-assisted teams and preserve software quality at scale.

https://www.cio.com/article/4232669/ai-wont-empty-the-software-factory-why-the-new-engineers-act-like-foremen.html

The Future of Tech Is Still About People

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Frank Iannella, CIO at Heineken, emphasizes that while AI is transforming business operations and technology careers, success increasingly depends on understanding business problems, adaptability, and leadership rather than technical skills alone. He highlights the importance of responsible AI adoption with strong data governance and the need for technology professionals to develop broad skills in collaboration and organizational understanding to lead effectively in a changing industry.

https://ischool.syracuse.edu/the-future-of-tech-is-still-about-people/

AI Is Making Software Cheap to Build. Is Your Organization Ready for What Comes Next?

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AI is significantly reducing the cost and time required to build software, enabling even small teams to develop complex custom applications rapidly. This shift challenges traditional enterprise IT governance and software portfolio management, as decentralized, AI-assisted development increases the number of untracked tools and elevates risks related to compliance, control, and ownership. CIOs and CTOs must prepare for a future of software abundance by focusing less on scarcity of development resources and more on managing, governing, and retiring the growing volume of AI-generated software assets within their organizations.

https://www.cio.com/article/4231346/ai-is-making-software-cheap-to-build-is-your-organization-ready-for-what-comes-next.html

89% of CIOs Say They’re Now More Responsible for Workforce Redesign Than Core IT Infrastructure

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A survey reveals that 89% of CIOs now see themselves as more responsible for workforce redesign than for managing core IT infrastructure. This shift underscores the expanding role of CIOs in driving organizational change and adapting workforce strategies alongside technology management.

https://www.prnewswire.com/apac/news-releases/89-of-cios-say-theyre-now-more-responsible-for-workforce-redesign-than-core-it-infrastructure-302900900.html

Want Employees to Embrace AI? Stop Selling It as a Productivity Tool

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Stanford researchers found that employees are more likely to embrace AI when it is introduced as a tool to enrich their jobs rather than merely boost productivity. Successful AI adoption depends on managers framing AI use to enhance meaningful work, providing time and training for exploration, and aligning performance metrics to reflect new job responsibilities. Without these supports, AI initiatives risk employee disengagement and reduced motivation to learn new skills.

https://hai.stanford.edu/news/want-employees-to-embrace-ai-stop-selling-it-as-a-productivity-tool

IT Modernization: Still a Make-or-Break Project for CIOs

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CIOs continue to view IT modernization and application portfolio rationalization as critical, complex initiatives essential for controlling costs and enabling innovation, especially in the evolving AI era. Leaders emphasize a business-driven approach that balances reducing complexity with meeting current and future organizational needs, often re-evaluating SaaS tools and considering custom AI-enabled solutions. Despite challenges like cost and data migration, ongoing modernization efforts remain indispensable for creating agile, future-ready IT environments that support better efficiency, risk reduction, and alignment with business goals.

https://www.cio.com/article/4225171/it-modernization-still-a-make-or-break-project-for-cios.html

‘The Collision: What AI Does to Us’

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MIT Sloan professor Eric So’s new book, “The Collision: What AI Does to Us,” explores how artificial intelligence is reshaping human cognition by tempting people to outsource thinking, leading to cognitive atrophy and diminished capacity for sustained focus and judgment. So advises employees to preserve their unique thinking skills, managers to reward both productivity and reasoning, executives to focus on talent development rather than cost-cutting, and educators to teach AI as a tool rather than ban it, emphasizing that AI should amplify human capabilities without replacing critical thinking.

https://mitsloan.mit.edu/ideas-made-to-matter/collision-what-ai-does-to-us

A ‘Safe-to-Fail’ Culture Can Help IT Teams Achieve Great Things

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Building a safe-to-fail culture in IT teams involves removing fear of failure by providing employees with time, resources, and clear boundaries to experiment with new technologies in secure environments. Organizations should design controlled experiments focused on specific business problems, incorporate safeguards to limit potential damage, and recognize learning outcomes to drive practical business results. This approach promotes innovation while managing risks through disciplined testing, transparency, and predefined operational and security rules.

https://www.computerworld.com/article/4223580/how-to-build-a-safe-to-fail-culture-for-it-teams-and-why-you-should.html

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