Most (84%) employees are eager to embrace agentic AI in their role, but 56% worry about their own job security working alongside agents, highlighting an urgent disconnect, according to new research from Ernst & Young LLP. Employees are ready and eager to adopt agentic AI, but organizations are fumbling the fundamentals of strategy, training, and communication. The Agentic AI in the Workplace Survey reveals a paradox: while agentic AI optimism is high, confusion and anxiety threaten to stall this transformative period in the future of work. The research also uncovers how generational differences are creating a wide managerial divide on how to lead these new hybrid human-AI teams. 

Over half (51%) of employees worry that agentic AI will make their jobs obsolete. This excitement-anxiety contradiction is compounded by a lack of guidance from leadership, and that tension is even sharper among non-people managers, 65% of whom worry about their own job security working alongside AI compared to 48% of people managers. Amid a lack of adequate training, 85% of desk workers are learning about how to work alongside AI agents outside of work, and 83% say most of what they know about working with agentic AI is self-taught.  

“Agentic AI moves us beyond simple prompts to autonomous, multi-step tasks, but our data reveals a critical threat: poor communication breeds operational uncertainty and inertia,” says Dan Diasio, global consulting AI leader at EY. “Organizations must articulate their complete AI roadmap, covering everything from ethical guardrails to comprehensive training, to harness employee enthusiasm and drive performance. When leaders are transparent, employees lean in and performance follows.” 

Agentic AI is already delivering tangible value, with 86% of employees reporting that working with AI agents has had a positive impact on their team’s productivity. This proven success breeds confidence across the workforce: a vast majority (90%) of desk workers already using agentic AI are confident in their abilities to use AI agents today. 

Despite these real-world gains, the research highlights persistent internal obstacles. 

• Skills gap anxiety. Despite widespread enthusiasm, 54% of employees feel like they are falling behind their peers in agentic AI use at work. This feeling of being outpaced is amplified among non-people managers, where 61% feel they are falling behind their peers, compared to 48% of people managers. 

• Information influx. Most desk workers feel overwhelmed by the constant influx of new agentic AI information (61%). Those who use agentic AI are overwhelmed by the amount of new agentic AI tools being introduced at their workplace (64%). 

• Managerial confidence crisis. Lack of clarity from top leaders is impacting workers of all levels, with 53% of people managers concerned they may not be good at supervising AI-augmented teams, and 82% believing managing AI agents will make their experience as a people manager more challenging. Additionally, 63% of non-people managers are hesitant to pursue people manager roles due to concerns about managing AI-augmented teams. 

“Our data reinforces that while the workforce is demonstrably ready for innovation-fueled change, this valuable AI enthusiasm is threatened by underlying anxieties,” says Kim Billeter, global people consulting leader at EY. “We are at a critical juncture where leaders must provide structured and comprehensive training. This isn’t just a technology rollout; it’s a human transformation that requires intentional support to redefine the partnership between people and AI.”  

The new EY US survey reveals how the challenges of leading hybrid human-AI teams are perceived differently across generations and worker experience levels, heightened by a growing generational divide among people managers on sentiment and perception surrounding agentic AI. 

Gen Z people managers display a mix of optimism and anxiety, as they (88%) are more likely than millennial people managers (77%) to believe their role at their organization will change entirely with the introduction of agentic AI. While 88% of Gen Z people managers also believe that agentic AI will have a positive impact on attracting top talent to their organization, 55% of those using agentic AI show greater hesitancy to use agentic AI tools introduced at their organization compared to baby boomer people managers (33%). 

Millennial people managers express the highest level of worry, with 72% concerned about the challenges of managing an increasingly agentic AI-reliant workforce, a higher percentage than all other generations. However, millennial people managers are eager to learn, with a notable 88% stating that most of their knowledge of working with agentic AI is self-taught. 

Gen X people managers demonstrate high confidence in collaborative models, with 93% agreeing that supervising an AI-augmented team will incorporate “the best of both worlds.” They also prioritize encouraging collaboration between humans and AI agents as a necessary step for entry-level success in a future with full-scale agentic AI integration. 

Baby boomer people managers prioritize practical application and ethics, exhibiting a strong foundation grasp of AI agents (80%) and believe organizations should be emphasizing clear ethical guidelines for agentic AI use for senior leaders (57%) to set them up for success in a future with full-scale agentic AI integration. 

In the agentic AI era, investing in communication, training, and support leads to stronger adoption and better results, but latest EY US research found only 52% of senior leaders say their organization has a fully deployed initiative in investing in agentic AI training/upskilling for employees. Organizations that clearly articulate their agentic AI strategy also see significantly better business outcomes and higher employee confidence, confirming communication is a strategic lever for adoption. 

At organizations clearly communicating its AI agent strategy, 92% of workers report working with AI agents has positively impacted their team’s productivity, which is a 30 percentage point jump compared to those without clear communication. Employees at these organizations are also more likely to use agentic AI (66% vs. 39%) and are eager to embrace agentic AI in their role (87% vs. 69%) compared to those at organizations without clear communication. 

The communication gap is most severe for lower-level employees. About twice as many employees below the VP level (21%) as VP+ employees (9%) report their organization has not clearly communicated its strategy on AI agents. 

While 89% of employees believe upskilling and reskilling is crucial for staying relevant in an AI-augmented workplace, over half (59%) cite a lack of adequate training to develop AI-related skills as an organizational barrier. 

“The pace of agentic AI adoption is creating immense growth potential, but in this era of uncertainty, leaders must address the urgent need to rapidly innovate with a clear and focused agentic AI communication and training strategy that puts their employees at the center,” says Whitt Butler, EY Americas vice chair, consulting. “To realize the true transformative impact of agentic AI, companies must execute a human-centric strategy focused on managing change, building confidence across the entire hybrid workforce, and ultimately turning the risk of inaction into a decisive competitive advantage.”