Corporate leaders and employees hold sharply contrasting views on the impact of artificial intelligence (AI) in the workplace, according to recent surveys and industry reports. While many CEOs emphasize the productivity benefits of AI and express optimism about future financial gains, workers are more skeptical, expressing concerns about job security and a lack of trust in management.
A survey conducted by the Milken Institute-Harris Poll Listening Project revealed that over two-thirds of business leaders expect their financial situation to improve within the next five years due to AI. In contrast, only 27 percent of U.S. workers shared this optimism, highlighting a significant 41-point gap in expectations. Furthermore, a report from the Wharton School found that 73 percent of executives believe AI has substantially transformed work processes, yet only 58 percent of entry and mid-level employees agree.
John Gerzema, CEO of the Harris Poll, described this disparity as two groups "living in completely different realities," illustrating the divide between leadership’s hopes and employees’ apprehensions regarding AI adoption.
This disconnect extends to perceptions of transparency and trust. A Boston Consulting Group (BCG) survey found that just 15 percent of CEOs expressed concerns about AI undermining employee trust, while 40 percent of workers felt their CEOs had not been sufficiently transparent about AI’s effects on their roles and career prospects. Julia Dhar, head of BCG’s North American people and organization practice and co-author of the report, warned that lacking employee trust could hinder deeper AI adoption, risking regression instead of progress.
Venture capitalist Hemant Taneja, managing partner at General Catalyst, echoed these findings, emphasizing the need for increased communication amid uncertainty. “When there’s more ambiguity, you need to overcommunicate,” he said, noting his efforts to foster trust by openly discussing AI decisions and acknowledging unknowns.
Some leaders are experimenting with novel approaches to bridge the trust gap. Dhar cited one CEO who initiates open conversations by asking frontline workers what they consider “the silliest thing” the company does, providing a low-pressure way for employees to voice concerns. Similarly, Tim Walsh, chief of consultancy KPMG, prioritizes direct interactions with both partners and employees during site visits to gauge their feelings about AI. He acknowledged, however, the challenge of eliciting candid feedback from junior staff, relying instead on anonymous surveys to capture honest perspectives.
Despite the ongoing tensions surrounding AI integration, there is a relative degree of trust in CEOs compared to other institutions in American society. Data from the Edelman Trust Barometer, which has tracked public sentiment for over two decades, indicates that Americans place somewhat greater trust in their corporate leaders than in media, non-governmental organizations, or government entities.
Employees value leaders who communicate openly about AI’s implications, even when clear answers are lacking. Dhar noted that workers often make modest requests: “They say, ‘I would just hope the leaders are able to be honest and specific about the changes that we are making and the reason behind them.’” This candidness may be critical for successfully navigating the evolving landscape of artificial intelligence in the workplace.