HIGHLIGHTS
- Higher Pay, Closer Pay Gap: AI adoption is positively associated with labour overall income share and negatively associated with the executive-to-general employee pay gap.
- Shifting Power Dynamics: General employees are empowered by AI to make strategic decisions previously reserved for executives.
- The Bottleneck: The economic benefits of AI rely heavily on skilled talent and adaptive leaders.
Is artificial intelligence coming for our jobs? A recent study at HKU Business School on almost 3,000 Chinese-listed firms suggests the opposite. AI is not replacing the general workforce but giving them a raise. Higher AI adoption drove an 11.2% increase in overall income share. It also tightened the corporate pay gap by 7.8% between the top management team (TMT, hereafter referred to as executive) and rank-and-file employees (hereafter referred to as general employees). The effect was more significant when employees had stronger capabilities and less pronounced when executives had longer tenures.
Here’s the new reality: AI is no longer just automating work. It is accentuating human engagement in high-value pursuits and reshaping who makes the calls.
Who will be the ultimate winner in this new era? Organizations that combine AI adoption with more adaptive leadership and AI capacity building.
The Story the Headlines Missed
Daily headlines focus on job displacement, task automation and diminishing human value, but current discussions fall short of examining how AI alters the economic value companies assign to human labour.
To bridge the gap, our researchers investigated the ties between AI adoption, labour income share, and the pay gap.
Proof in the Numbers
Researchers analyzed more than 11,500 firm-year observations across 2,902 companies listed on the Shanghai and Shenzhen stock exchanges between 2016, a year widely regarded as a turning point for modern AI, and 2022, using an information processing framework. The data included firm- and industry-level data, as well as city and provincial economic data. It also included job posting data from major online job sites in China.
Labour income share was measured as the ratio of employee compensation to value added for each firm. The executive-general employee pay gap was measured as the ratio of average executive pay to that of general employees. To track AI adoption, researchers strictly monitored hiring demand for AI-related skills and roles.
More Money, Less Hierarchy
The study shows that firms with higher AI adoption saw an 11.2% increase in labour income share. This indicates that AI adoption enhances the overall value of human contributions relative to other factors of production.
If staff are doing higher-value work, their pay should reflect it. The study proves that it does. High AI adoption drove a 7.8% decrease in the pay gap between executives and general employees.
Additional analysis highlights how AI narrows the pay gap. AI adoption boosted the pay of general employees but had no significant impact on executive pay. This rules out the assumption that AI is simply substituting executives’ decision-making roles. Rather, the shrinking pay gap is driven by AI actively empowering general employees.
What About the High-Tech Sector?
High-tech firms saw an even sharper increase in labour income share, according to research findings. However, the impact on the pay gap between executives and general employees in these firms was weaker than in non-tech firms.
Researchers explained that high-tech industries tend to emphasize innovation and problem-solving, and AI-driven automation of routine tasks allows employees to pivot to high-value activities, thereby amplifying AI’s positive effect on labour income share. However, as tech firms tend to have flatter organizational structures and more decentralized decision-making processes, there is less room for AI-induced decision redistribution.
Making Room for the Work that Matters
What makes us more valuable, if not cheaper labour? Researchers highlight two major shifts in the modern workplace:
1. Task Reassignment: AI takes over mundane tasks, freeing humans to engage in tasks of higher value.
2. Decision Redistribution: AI is now handling the routine, data-intensive tasks. As a result, employees at various levels are increasingly involved in interpreting AI-generated insights. They are also making strategic decisions previously reserved for executives.
Busting the Layoff Myth
The study data also shows no significant relationship between AI adoption and employee headcount.
AI may increase labour income share through task reassignment instead of triggering mass layoffs.
This is consistent with researchers’ proposition that AI may increase labour income share through task reassignment instead of triggering mass layoffs.
The Skills Catch
Researchers found that the benefits of AI adoption depended heavily on the organization’s human capabilities and established leadership routines.
When employee capabilities were high, AI adoption was associated with an 11.8% increase in labour income share and a 14.7% decrease in the pay gap.
By contrast, when employee capabilities were low, the association between AI adoption and the executive-general employee pay gap became insignificant.
This explains that skilled human capital is the key resource and the main driver of value creation. A high share of skilled employees can influence how AI adoption affects the labour income share and pay gap between executives and general employees.
The Leadership Bottleneck
Executives’ tenure—the average number of years executives hold their posts—also plays a defining role.
Under long-tenured leadership, whereas high AI adoption still increased labour income share by 10.4% and narrowed the pay gap by 6.8%, both effects weakened when compared to short-tenured leadership.
In other words, the longer executives serve in an organization, the more ingrained their information-processing routines become, making it more challenging to unlock AI’s potential for task reassignment.
The New AI Playbook
AI adoption does not necessarily diminish our economic value. It enhances it.
To capture the upside, researchers recommend integrating AI with regular training to enhance employees’ potential, and foster a more dynamic, innovative working environment.
Organizations should also ease leadership concerns around change.
To ensure the benefits of AI are evenly distributed, organizations may establish cross-functional AI steering committees that include senior executives, middle managers and employee representatives.
Keywords: AI workplace transformation, AI adoption, executive pay gap
*Learn more from the full research article here: