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Flexential’s 2025 State of AI Infrastructure Report Reveals Growing Pressure Over AI Implementation

C-suite leads AI adoption — but organizations are feeling the strain.

Charlotte, NC — May 6, 2025

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Key Findings & What’s at Stake

• According to the 2025 State of AI Infrastructure Report, 81% of respondents say the C-suite now leads AI initiatives — up sharply from 53% last year.
• 51% expect a return on AI investments within the next year, and 21% already report financial benefit.
• Meanwhile, nearly 29% of IT leaders feel overwhelmed by AI implementation requirements, up from 12% last year.
• Despite the challenges, 75% of respondents remain excited about AI in their organization, and 71% are extremely confident in executing their AI roadmaps — up from 53% last year.
• The survey — conducted among over 350 IT leaders at organizations with more than US$100 million in annual revenue (including 100 from companies with over US$2 billion in annual revenue) — reveals that many companies face significant barriers in infrastructure, staffing, performance, security, and sustainability.
• Notably, 44% of respondents identify IT-infrastructure constraints as the greatest barrier to expanding AI initiatives.
• Other critical pressures surfaced in the report: growing skills shortages (particularly in data science/engineering roles), increased cybersecurity risk, performance bottlenecks, and the need for sustainable, scalable infrastructure.

As organizations accelerate AI adoption, these findings underscore the growing tension between ambition and readiness — highlighting that AI is no longer an experimental add-on, but a core business capability demanding robust, future-proof infrastructure.

Implications for the Industry

With AI now a strategic priority led from the top, companies are under mounting pressure to deliver real ROI while managing complexity. The report suggests:

• Enterprises must strategically plan infrastructure and staffing for the long term, not just adopt AI reactively.
• There’s a clear need for data-center readiness, adequate bandwidth, cybersecurity protocols, and sustainable deployment plans.
• Organizations that fail to address these challenges risk lagging behind — potentially losing market share or delaying new products/services.
• Flexential’s findings confirm that, for many enterprises, AI success rests not just on software — but on infrastructure maturity, long-range planning, and operational readiness.

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