News, Trends, and Insights for IT & Managed Services Providers
News, Trends, and Insights for IT & Managed Services Providers
A micro processor sitting on top of a table

Reporting from India, the IT services sector faces major changes as AI disrupts traditional models, risking a shrinkage in managed services. A Jefferies report warns these AI shifts may require new talent and operating models, increasing sector risks. Despite a 16 percent year-to-date stock decline, stocks like Tata Consultancy Services and Infosys could drop another 33 percent. The report notes investor caution rises as AI advances are viewed more as disruptors than productivity boosters.

A recent report estimates that agentic artificial intelligence could unlock $200 billion in new value for technology service providers over the next five years. According to Boston Consulting Group, while traditional service delivery models may face challenges from automation, surveys indicate that 45% of enterprises plan to increase their AI spending, with strong interest in implementing scalable use cases. However, gaps remain between enterprise expectations for efficiency and the current readiness of service providers, highlighting the need to realign priorities and service offerings.

A survey by the National Federation of Independent Business shows rising energy costs impacting 80% of small businesses. To manage costs, 58% reduce profits, and 52% raise prices. 

A recent survey by the Conference Board and the Business Council found that 60% of Fortune 500 CEOs see artificial intelligence and new technology as the top industry risks, a shift from previous concerns like geopolitical risks and cybersecurity. Despite this, CEO confidence increased by 11 points to 59, indicating optimism. However, fewer CEOs plan to grow their workforce, showing caution in the changing tech landscape. 

Which are the consequences here.   The Jefferies warning on Indian IT services is more grounded: if AI reduces the labor hours required to deliver managed services, the revenue-per-engagement model compresses regardless of which geography is delivering it. That dynamic applies to domestic MSPs too. The 45% of enterprises planning to increase AI spend does not translate to MSP revenue unless MSPs are positioned as the implementation layer — and the 6.3-partner average suggests that position is contested.

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