trends

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

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

Why the CIO Role Is Increasingly More About Business Than Technology

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David Shive, long-tenured federal CIO and vice chair of the Federal CIO Council, explains that the CIO role has evolved to focus more on business practices alongside technology management, especially amid advancements like AI. This shift reflects the need for CIOs to integrate IT with organizational strategy to drive mission outcomes and operational effectiveness in government agencies.

https://fedscoop.com/radio/why-it-management-inside-the-government-has-become-as-much-about-good-business-practices-as-the-technology-itself/

The Quiet Reason CIOs Are Slowing AI Down

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Despite widespread informal use of AI tools by employees, many CIOs slow enterprise AI adoption under the guise of governance due to concerns about risk and accountability, but often to preserve their traditional authority derived from technological scarcity. As AI democratizes capabilities once exclusive to specialists, CIOs face a shift where their domain expertise becomes less unique, and resisting change risks ceding influence as shadow adoption grows uncontrollable. To adapt, CIOs must embrace proportional governance, prioritize learning agility over tenure, engage hands-on with AI tools, and encourage evidence-based challenge within their teams to maintain strategic relevance amid rapid AI-driven transformation.

https://www.cio.com/article/4220792/the-quiet-reason-cios-are-slowing-ai-down.html

Where Is AI Headed? Two Media Theorists From the 1960s Can Help Us Figure It Out

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Media theorists Marshall McLuhan and Guy Debord offer insights into AI’s evolving role by framing it as a new medium reshaping communication and social life rather than merely a tool or intelligence. McLuhan’s idea that new media initially replicate old forms before generating unique content helps explain AI’s current uses and emerging novel applications, while Debord’s critique of media commodification suggests AI will further mediate and monetize human experiences, potentially deepening societal alienation unless deliberate changes occur. Understanding AI as a medium highlights the importance of examining how it transforms our environment and interactions rather than just its capabilities.

https://theconversation.com/where-is-ai-headed-two-media-theorists-from-the-1960s-can-help-us-figure-it-out-290733

If You’re Not Using AI to Attack Your Own Systems, Your Adversaries Will

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AI agents are increasingly used by attackers to autonomously identify and exploit vulnerabilities at scale, creating a new, rapidly expanding attack surface for organizations. Security experts urge enterprises to adopt continuous, AI-driven red teaming and penetration testing to proactively find and fix weaknesses, as traditional periodic human-led testing is too slow and limited to keep up with AI-powered threats. The integration of AI agents into offensive security aims to stay ahead of adversaries who continuously use AI to attack systems, highlighting the need to treat AI agents as privileged identities within a zero-trust security framework.

https://www.theregister.com/security/2026/08/22/if-youre-not-using-ai-to-attack-your-own-systems-your-adversaries-will/5291346

What the CIO Role Will Look Like in 2029

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By 2029, the CIO role will evolve from primarily technology implementation to orchestrating intelligence-enabled business operations, heavily integrating AI into workflows, decision-making, and strategy. CIOs will act as strategic business leaders driving enterprise transformation, blending technical expertise with change management and business vision to help organizations adapt to AI-driven market shifts and collaborate effectively with intelligent systems. This shift demands CIOs develop advanced skills in leadership, business fluency, and value-based decision-making to shape competitive advantage and guide organizational evolution amid the Intelligence Era.

https://www.cio.com/article/4212564/what-the-cio-role-will-look-like-in-2029.html

How Will AI Automation Hit — Like a Crashing Wave or a Rising Tide?

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New research from MIT FutureTech shows that AI automation is progressing gradually across many text-based workplace tasks rather than arriving as sudden disruptive waves. Evaluations of over 6,000 tasks found AI can already perform 50–75% of them sufficiently without edits, with steady improvement allowing time for workers and organizations to adapt. The study suggests that AI-enabled task automation will vary across occupations, offering a window for strategic planning rather than immediate widespread disruption.

https://mitsloan.mit.edu/ideas-made-to-matter/how-will-ai-automation-hit-a-crashing-wave-or-a-rising-tide

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

Organizational AI Adoption Jumps Six Points

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In Q2 2026, organizational adoption of AI tools among U.S. employees rose from 41% to 47%, with over half of workers using AI primarily for writing, research, and problem-solving. The greatest productivity gains are reported by employees using AI for coding assistance, automation, and data analytics, and those who leverage AI across a broader variety of tasks tend to see the most significant benefits. These findings highlight that effective AI integration and managerial support, enabling employees to apply AI more consistently and specifically to their roles, are critical for maximizing organizational productivity.

https://www.gallup.com/workplace/712736/organizational-adoption-jumps-six-points.aspx

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