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Home » Financial managers are pulling back on investments, except for AI.
AI in Finance

Financial managers are pulling back on investments, except for AI.

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Financial Leaders Adjust Capital Expenditures Amid Economic Uncertainty

In today’s challenging economic landscape marked by rising costs, policy shifts, and geopolitical tensions, over one-third of financial executives have already curtailed some capital expenditures. Notably, investments in artificial intelligence (AI) remain an exception, as leaders focus on cost reduction in nearly every other area.

Survey Insights on Capital Expenditures

A recent Gartner survey involving 197 financial leaders revealed that 17% have reduced capital or priority expenditures by 1% to 10%. Another 17% reported decreases ranging from 10% to 25%, while 3% indicated cuts exceeding 25%. Only 8% expressed intentions to boost capital spending. This trend highlights a cautious stance among financial directors reacting to economic uncertainty, opting for a conservative approach until there’s greater clarity on federal policies and geopolitical risks.

Preservation Strategies Amid Uncertainty

The significant portion of financial leaders halting fixed asset investments aligns with a broader strategy focused on preserving options and tightening controls around capital expenses. This proactive approach is driven by the need for clarity regarding inflation rates, federal tax policy, and geopolitical considerations, particularly in the wake of new tax legislation that has yet to unfold fully.

Cost Reduction Trends Across Organizations

Beyond pausing new expenditures, 67% of financial leaders reported ongoing cost reductions, with more anticipated adjustments in the latter half of the year. Interestingly, while some sectors see cost-cutting measures, 33% of respondents indicated that despite reductions in certain areas, they are increasing spending elsewhere, leading to a global net reduction.

Investment in Artificial Intelligence Remains Strong

Despite overall reductions in capital outlays, investment in AI technologies continues to thrive. Financial executives are keen to explore ways AI can enhance customer interactions, marketing personalization, and operational efficiencies. The report indicates that leaders are shifting from broad experimental initiatives to targeted applications that demonstrate measurable benefits.

Key Investment Areas Identified

Though the survey did not directly focus on specific data points, Gartner’s conclusions stem from extensive dialogue with financial leaders. Key areas of investment include:

  • Customer Engagement: AI-driven tools for sales activation, service automation, and personalized marketing are prioritized for their potential to drive efficient revenue generation and enhance customer retention.
  • Product and Engineering: Features of AI products are emphasized, with budgets dependent on demonstrated value and market differentiation.
  • HR and Talent Management: Workforce planning and recruitment automation are gaining traction, aligning skill sets with strategic goals.
  • Risk and Compliance: AI applications for fraud detection, regulatory compliance, and supplier risk management continue to evolve, particularly in sectors like financial services and healthcare.
  • Data Infrastructure: Select investments in cloud technology, AI-ready data architecture, and essential language tools are progressing, but only when directly linked to business use cases.

Conclusion: A Shift towards Strategic AI Investment

The insights from financial leaders signify a noteworthy shift in investment strategy. Even as they implement tighter cost controls and scale back on large investments, there remains a steadfast commitment to AI initiatives. This focus on precisely targeted applications underscores the belief that AI can yield significant and measurable impacts, making it a crucial component of future business strategies.

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Study indicates that young adults in the UK are open to using AI for financial guidance.

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Study indicates that young adults in the UK are open to using AI for financial guidance.

January 14, 2026

JD-SW refutes speculation about issuing RMB10 billion in Dim Sum bonds

January 14, 2026

Anticipated Impact of AI Adoption on Decreasing Burnout

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