Artificial intelligence is increasingly transforming workplaces, but a growing divide between corporate executives and employees is raising questions about trust, job security and the long-term impact of the technology. While business leaders are optimistic about the financial benefits of AI, many workers remain concerned about how its adoption could affect their careers and livelihoods.
Recent research from the Milken Institute-Harris Poll Listening Project highlights the difference in expectations. More than two-thirds of business leaders believe AI will improve their financial position over the next five years, compared with just 27% of American workers. The 41-percentage-point gap reflects a significant difference in how the two groups view the technology’s potential benefits.
The divide extends beyond financial expectations. A report released by the Wharton School found that nearly three-quarters of business leaders believe AI has significantly changed how work is performed. Among entry-level and mid-level employees, however, only 58% shared that view.
John Gerzema, Chief Executive Officer of the Harris Poll, described the situation as a growing gap between leadership expectations and employee experiences. While executives increasingly see artificial intelligence as an opportunity to improve business performance, workers are more likely to worry about what the technology could mean for their roles and future prospects.
A lack of transparency is emerging as a major challenge for companies introducing AI into their operations. Research from consulting firm Boston Consulting Group (BCG) found that only 15% of CEOs were concerned that their approach to AI could undermine employee trust. In contrast, 40% of workers said their CEOs had not been sufficiently transparent about how AI might affect their responsibilities and career development.
This difference in perception could complicate efforts to integrate AI into everyday business processes. According to Julia Dhar, who leads BCG’s North American people and organisation practice, organisations risk weakening employee participation if workers do not trust the decisions behind technological change. Employees who feel excluded or uncertain may be less willing to adopt new systems, potentially limiting the benefits companies hope to achieve.
Building trust therefore requires more than introducing new tools or announcing productivity targets. Business leaders need to communicate openly about their plans, explain the reasons behind decisions and acknowledge the uncertainties that accompany emerging technologies.
Hemant Taneja, who leads venture capital firm General Catalyst, emphasised the importance of clear communication when organisations are navigating rapid change. He noted that leaders need to communicate more frequently when employees face uncertainty, explaining how decisions are made and why assumptions may change as businesses gain experience with AI.
Taneja also highlighted the value of acknowledging that leaders do not have every answer. Being open about uncertainties can help employees understand that strategies may evolve as organisations learn more about the technology and its practical applications.
Encouraging employees to participate in conversations about workplace challenges is another approach that can improve engagement. Dhar described how one executive begins discussions by asking frontline employees to identify unnecessary or inefficient practices within the company. This allows workers to share their experiences without feeling judged or pressured to propose fully developed solutions.
Such conversations can help management identify opportunities where AI may genuinely improve workflows while giving employees a greater sense of involvement in decisions that affect their work.
Listening directly to employees is becoming increasingly important as AI adoption accelerates. Tim Walsh, Chief Executive of KPMG, said he makes an effort to meet both senior partners and employees when visiting the organisation’s offices. Understanding how workers experience new technology and what concerns they have is essential, although he acknowledged that it can be difficult for senior executives to obtain a complete picture of employee sentiment.
KPMG also uses anonymous employee surveys to give junior staff members an opportunity to express concerns more freely. These channels can help organisations identify issues that employees may be reluctant to raise in direct conversations with senior management.
Despite the challenges, research indicates that employees value communication from leaders, even when executives cannot provide definitive answers. Workers may be more willing to accept change when management explains what is happening, why decisions are being made and what remains uncertain.
The findings suggest that successful AI implementation depends not only on technological capability but also on the quality of communication between leadership and employees. Companies that fail to address concerns about job security, responsibilities and career development risk creating resistance that could undermine their transformation efforts.
As businesses continue to explore artificial intelligence for productivity improvements and operational efficiency, the relationship between employers and employees will remain an important factor in determining how effectively the technology is adopted.
Ultimately, the challenge for business leaders is to ensure that AI-driven transformation benefits organisations without leaving employees feeling excluded from the process. Clear communication, honest discussions and meaningful opportunities for employee feedback can help bridge the divide between executive optimism and workplace uncertainty.
For companies seeking to make AI a lasting part of their operations, building employee trust may prove just as important as investing in the technology itself.
