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High interest rates are squeezing overall technology spending budgets across the market, but companies remain committed to investing in artificial intelligence and cloud computing, according to a new CNBC Technology Executive Council bi-annual survey.
Despite economic challenges, AI spending has emerged as a critical focus for businesses, with the survey revealing that 60% of companies consider generative AI crucial to their operations.
AI also tops the technology spending list for 44% of firms in the next year.
A significant finding from the survey shows that companies are prioritizing employee-facing AI projects over customer applications by a four-to-one margin.
The focus on internal AI integration is driving companies to invest heavily in preparing their internal data for AI deployment, a process that could take years, according to Pure Storage CEO Charles Giancarlo.
Accenture CEO Julie Sweet highlighted the surge in generative AI spending, with the firm's AI bookings reaching $2 billion year-to-date, compared to $300 million the previous year. Sweet emphasized that modern platforms are essential for leveraging AI, as accessible and clean data forms the backbone of successful AI implementation.
Despite concerns about an economic slowdown, companies are pressing ahead with AI investments to meet client demands for new technology.
The survey identified meeting customer demand as the top immediate risk for tech executives, with 28% citing it, followed by cost-cutting pressures at 20%.
Interestingly, the need to find qualified employees has plummeted as a concern, dropping from the top risk at 26% a year ago to just four per cent in the current survey.
The rise of AI is also evident in the increasing number of employees using AI tools at work, which has climbed 10 percentage points to 60%.
More companies are integrating AI across their workforce, with 64% planning to purchase enterprise AI solutions like Microsoft Copilot within the next six months, up ten percentage points from the previous survey.
The Hidden Workforce Impact of Paid Leave Policies
Many employers are navigating a rapidly shifting leave landscape, as more states introduce paid FMLA policies with varying requirements and implications. For organizations with a multistate workforce, understanding how these policies will impact leave utilization, duration, and total cost is not straightforward and relying on historical data alone can leave critical gaps in planning.
By leveraging a large, integrated dataset and advanced statistical modeling, Workpartners’ Analytics team helps employers anticipate how paid leave policies may influence employee behavior across different populations. These models account for factors such as industry, demographics, employment status, and geography—providing a more complete and predictive view of how leave trends may shift under new policy scenarios.
The findings underscore the importance of modeling impact before introducing new leave policies. Workpartners developed a simulation tool that allows employers to estimate how policy and workforce variables may influence outcomes. With this insight, organizations can better align strategy, budgeting, and program design ahead of rollout.
What You’ll Learn:
Impact of paid leave on FMLA rates and duration
Predicting leave utilization and cost before rollout
Using simulation to guide benefit design and planning
AI investment is reshaping IT budgets, as companies prioritize spending on this transformative technology.
Bank of America forecasts a significant increase in hardware demand, particularly for Nvidia, which could see demand triple to $300 billion within a few years.
"This time the spending is being done by companies with some of the best balance sheets on the planet," said Bank of America senior semiconductor analyst Vivek Arya.
AI is seen as a structural change, with industries across the board looking to extract insights from vast amounts of untapped data.
This focus on AI integration is expected to drive technology spending and reshape corporate strategies in the years to come.
