A significant and growing chasm is opening between workers who are reaping the benefits of artificial intelligence (AI) integration and those being left behind, according to a comprehensive global study by PwC. The consultancy’s "Global Workforce Hopes and Fears Survey 2026" indicates a marked increase in AI utilization across the workplace, with a concurrent decline in access to essential learning and development resources. This divergence is fostering a workforce increasingly polarized in terms of confidence, ambition, and perceived job security.
The survey, which canvassed the opinions of 49,364 workers across 48 countries and regions and 29 diverse sectors during May and June of the current year, reveals that 64 percent of employees reported using AI at work within the preceding 12 months. This represents a substantial 10 percentage point increase from the previous year. Notably, the daily use of generative AI, a particularly transformative subset of AI technology, saw a significant jump from 14 percent to 22 percent. Looking ahead, a considerable 59 percent of workers anticipate their engagement with AI tools will escalate over the coming year, underscoring the accelerating pace of AI adoption in professional environments.
However, this surge in AI integration is occurring against a backdrop of diminishing access to the very training and development opportunities necessary for employees to effectively navigate and capitalize on these technological advancements. The study found that only 51 percent of workers had access to the learning and development resources they deemed necessary, a notable decrease from 59 percent in the prior year. PwC’s analysis posits that this disconnect is actively contributing to a more divided workforce. Employees who are already integrating AI into their daily routines are reporting markedly different experiences and attitudes compared to their less frequent AI-using counterparts.
The AI Advantage: Confidence and Ambition Soar for Daily Users
The disparity in experiences is starkly illustrated by the data on job security and career aspirations. Workers who utilize AI on a daily basis exhibited greater confidence in their job stability, with 68 percent expressing a sense of security, in contrast to only 57 percent of infrequent users. This 11-percentage-point difference highlights a tangible psychological benefit derived from AI proficiency.
Furthermore, the study reveals a significant uplift in proactive career management among daily AI users. They were 12 percentage points more likely to actively seek a promotion, indicating a heightened sense of agency and belief in their ability to advance. This proactive approach extends to their trust in organizational leadership, with daily AI users being 15 percentage points more inclined to trust senior management. Perhaps most critically, they demonstrated a 21-percentage-point greater confidence in their capacity to acquire new skills, a crucial attribute in an era of rapid technological evolution.
Pete Brown, global workforce leader at PwC, articulated the complex challenge facing employers: "Workers are under growing pressure from rising workloads, rapid change, and external uncertainty. But those using AI every day are more confident, more ambitious, and more positive about their careers and prospects." He emphasized the imperative for organizations to find a delicate balance: "Employers face the challenge of developing employees who are already benefiting from AI without neglecting the rest of their workforce."
Segmenting the Workforce: From "Engine Room" to "Front-Runners"
To provide a more nuanced understanding of this emerging workforce dynamic, PwC categorized respondents into four distinct groups based on the scarcity of their skills and their level of AI adoption. This segmentation offers a granular view of how AI’s impact is unevenly distributed.
The "Engine Room": The Majority Left Behind?
The largest segment, comprising 56 percent of the surveyed workforce, has been designated as the "engine room." This group is characterized by employees whose skills are considered less scarce and who are currently at an earlier stage of their AI learning journey. A particularly concerning finding within this segment is that only two in five workers reported having access to the necessary learning and development resources. This indicates a significant gap in support for the majority of the workforce, potentially hindering their ability to adapt to evolving workplace demands.
Delineating the Other Segments
Beyond the "engine room," PwC identified three other key groups:
- "Front-runners" (14 percent of workers): This elite group combines scarce skills with strong AI capabilities. They represent the vanguard of AI adoption and are likely to be driving innovation within their organizations.
- "AI Insurgents" (18 percent of workers): These individuals possess less scarce skills but are effectively leveraging AI to enhance their productivity and output. They are demonstrating how AI can amplify existing capabilities.
- "Indispensables" (11 percent of workers): This segment comprises employees with scarce skills but who have made less progress in adopting AI. Their unique skill sets make them valuable, but their limited AI engagement could pose a future risk.
The research highlights that employees within the "engine room" category are less likely to be recognized or rewarded for their contributions, including their efforts in using AI, acquiring new skills, or challenging established work methodologies. This is despite their critical role in executing an organization’s day-to-day operations and forming the bedrock of the workforce.
Conversely, the "front-runners" are experiencing a heightened sense of career ambition, with a remarkable 33 percentage point greater likelihood of asking for a promotion. However, this increased confidence and perceived value might present a new challenge for employers: retention. A significant 29 percent of "front-runners" indicated they were very or extremely likely to seek new employment within the next year, signaling a potential flight of top talent for organizations that fail to adequately nurture and retain these highly skilled and AI-proficient individuals.
Broader Economic and Workplace Pressures Compound the Challenge
The PwC survey also sheds light on overarching economic and workplace pressures that are exacerbating the challenges faced by employees. Financial strain remains a significant concern, with only one-third of respondents reporting having disposable income at the end of the month – an eight percentage point decrease year-on-year. This financial precarity is compounded by a perceived decline in bargaining power. Almost three in ten workers stated that their bargaining power had significantly diminished over the past three years, with this sentiment being even more pronounced among fully remote workers, who reported a further 10 percentage point increase in this concern.
Economic uncertainty has emerged as a more dominant source of anxiety regarding job security than AI itself. A substantial 57 percent of workers identified economic volatility as a primary risk to their employment, outweighing the 44 percent who expressed concern about AI taking on more of their tasks. This suggests that broader macroeconomic factors are currently exerting a greater influence on workers’ perceptions of job stability.
The pace of workplace change is also accelerating, leading to increased fatigue and burnout. Among those who have experienced changes at work, 58 percent reported a more rapid rate of change in the past year compared to previous periods. Consequently, 27 percent of workers indicated that fatigue or burnout was hindering their productivity. The need to adapt and acquire new skills is becoming a constant requirement. Four in ten workers reported having to apply new skills in their jobs to a large or very large extent during the preceding year. This figure was notably higher among senior executives (51 percent) and managers (46 percent), reflecting the escalating demands placed upon leadership and supervisory roles, compared to 29 percent of non-managers and 38 percent of entry-level employees.
Navigating the Future of Work: A Call for Strategic Investment
Pete Brown of PwC concluded by emphasizing the diverging trajectories within the modern workforce: "The findings suggest the workforce is beginning to move at different speeds, with those possessing scarce skills and strong AI capabilities becoming both more confident and more mobile." He issued a clear call to action for organizations: "Employers, he said, needed to consider where they invested in skills, how employees were given opportunities to adapt, and how they retained the capabilities they most needed."
The implications of this widening AI divide are profound for businesses and individuals alike. Organizations that fail to provide equitable access to AI training and development risk alienating a significant portion of their workforce, potentially leading to reduced engagement, increased attrition, and a missed opportunity to harness the full potential of their human capital. Conversely, companies that strategically invest in upskilling and reskilling their employees, fostering an environment of continuous learning and adaptation, are better positioned to navigate the complexities of the AI-driven future and cultivate a more resilient, innovative, and engaged workforce. The challenge lies in bridging the gap, ensuring that the advancements of AI serve to empower all workers, rather than creating a two-tiered system of opportunity and security.
