For years, the tech industry has promised artificial intelligence (AI) would trigger a fundamental shift in global economics, ushering in a new era of hyper-efficiency. However, a sweeping new study suggests that for most global enterprises, the AI revolution has yet to move the needle on the bottom line.
A survey of nearly 6,000 corporate executives across the U.S., United Kingdom, Germany, and Australia has revealed a jarring disconnect between Silicon Valley’s marketing and the reality of the boardroom. The study, conducted by the National Bureau of Economic Research (NBER), found that more than 80% of leaders detect no discernible impact from AI on either employment or productivity.
Despite the lack of immediate results, adoption is widespread. On average, 69% of businesses currently utilize some form of AI — primarily for large language model text generation, visual content creation, and data processing. While three-fourths of firms expect to use the technology within three years, 89% of managers reported zero change in productivity, measured as sales volume per employee.
As technology giants pour hundreds of billions into AI infrastructure, the contrast between massive capital expenditure and modest productivity gains — currently projected at just 1.4% over three years — raises a critical question: Is this a temporary lag, or is the AI productivity boom a bubble waiting to burst? For now, businesses are left navigating a landscape of expensive promises and “jam tomorrow.”
The NBER report joins a growing chorus of skepticism from major consultancy firms. Recent data from PwC indicates that over half of business leaders have seen neither increased revenue nor decreased costs from AI. Similarly, Deloitte found that while 74% of organizations aimed for revenue growth through AI, only 20% successfully achieved it.
While the past three years have seen a status quo in staffing, executives are bracing for a delayed impact. NBER estimates that AI integration will displace approximately 1.75 million jobs across the four surveyed nations by 2028. Conversely, the report highlights a perception gap between the C-suite and the cubicle; employees remain more optimistic, anticipating job creation rather than cuts, though they also predict smaller productivity gains.
The friction of implementation was notably highlighted in a recent UK government trial of Microsoft’s M365 Copilot. The pilot program reported no net gain in productivity, noting that while AI accelerated certain tasks, it actively hampered others. Even Jared Spataro, Microsoft’s lead for AI at work, recently admitted the difficulty in proving a clear return on investment (ROI) for knowledge-based AI tools.
Headwinds aside, the pressure to automate or die remains intense. A new Gartner report found 91% of customer service leaders are under direct management pressure to implement AI. Tech giants continue to double-down. Microsoft AI chief Mustafa Suleyman recently claimed that most computer-based tasks in accounting, legal, and marketing would be fully automated within the next 18 months.
