Half of Business Leaders Will Keep AI Spending Despite Bubble Fears

Business leaders remain committed to artificial intelligence investments despite ongoing speculation about a potential market bubble, with more than half prepared to maintain spending regardless of economic headwinds.

According to recent research from Accenture, 52% of business leaders say they will continue investing in AI technology even if the widely discussed AI bubble bursts. Perhaps more telling, only 10% of executives surveyed believe a significant AI bubble exists at all.

Why it matters

This sustained commitment signals a fundamental shift in how organizations view AI—not as a speculative technology trend but as essential infrastructure for competitive operations. The findings suggest companies are moving past experimentation and into systematic workforce transformation, with direct implications for hiring strategies, training budgets, and organizational design over the next two years.

Workforce Transformation Takes Center Stage

The focus is shifting from technology acquisition to human capital development. Karalee Close, Accenture's global lead of talent, told HR Brew that leaders now recognize the need to "dig deeper into the people and workforce topics" to extract real value from AI investments.

Nearly four in five business leaders (78%) expect workers' roles to change within the next year as AI capabilities expand. This represents a significant acceleration in workplace evolution, requiring companies to rethink job architectures and skill requirements across departments.

"People think about the technology first, and that's where the investment has been," Close explained. "But now, it's really about, 'Okay, in order to get the value…we now need to think differently about how we scale that with people.'"

Entry-Level Hiring Rebounds

Despite high-profile layoffs attributed to AI implementation, the research reveals a countertrend: 52% of business leaders plan to increase entry-level hiring to meet AI-related demands. Looking ahead, 73% intend to create AI-focused entry-level positions within the next two years.

Close suggested that some organizations may have acted prematurely with AI-driven workforce reductions. The current hiring push reflects a recognition that building AI capabilities requires fresh talent with relevant skills—competencies that may be easier to develop in newer workers than to retrain in existing staff.

"Not only do you need new talent to have a healthy [talent] pyramid, but you actually need to create skills that are needed," Close noted. "Some of those skills actually are more easily created with new people."

The research underscores a pragmatic reality: successful AI adoption depends less on the technology itself and more on an organization's ability to align its workforce structure, skills development, and talent acquisition strategies with AI-enabled operations.

These findings were first reported by HR Brew based on Accenture's research.