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The EY Agentic AI in the Workplace Survey, which polled more than 1,100 desk workers across six industries at companies with $1B+ in revenue, found that 84% of desk workers are eager to embrace agentic AI in their roles. Yet that enthusiasm is shadowed by anxiety, confusion, and a troubling lack of organizational direction.
The findings should serve as both a wake-up call and a roadmap for business leaders. Agentic AI isn't coming—it's already here. The only question is whether you'll harness it strategically or watch your competitors pull ahead while your workforce experiments in the shadows.
Here's the reality most executives haven't fully confronted: your employees are already using AI. The EY survey reveals that 85% of desk workers are learning about AI outside of work hours. 83% say what they know about working with agentic AI is self-taught.
This isn't just a curiosity—it's an operational reality. Across most organizations, knowledge workers are already leveraging large language models like ChatGPT and Gemini to write emails, process information, draft reports, accelerate routine tasks, and much more. In many ways, this grassroots adoption is a positive signal. It demonstrates that your workforce recognizes AI's potential and is motivated to improve their productivity.
But this shadow AI usage also poses significant risks. When employees use consumer-grade AI tools without organizational oversight, your company's IP flows through external systems. Confidential data may be shared with platforms that lack enterprise-grade security. Compliance frameworks designed to protect sensitive information become meaningless when employees deliberately go around them.
The path forward isn't to fight this enthusiasm—it's to channel it. Your organization needs AI solutions built specifically for its needs, aligned to your goals, integrated with your existing tech stack, and governed by your compliance requirements.
This is precisely why a hybrid approach that combines agentic AI with human expertise delivers superior outcomes. When PhD-level data scientists and industry veterans work alongside your team, the result isn't generic automation—it's a tailored solution designed for your specific goals, data sources, and operational constraints.
Off-the-shelf AI tools can't account for the combination of your industry's regulatory requirements, your organization's unique workflows, or the institutional knowledge that makes your business competitive. A Hybrid Approach™ ensures that AI solutions meet your standards for security, transparency, and reliability while leveraging the domain expertise of people who understand your challenges firsthand.
The EY survey surfaces a critical tension: while enthusiasm for agentic AI runs high, 56% of office workers are concerned about their own job security working alongside AI agents. This anxiety isn't irrational—it reflects genuine uncertainty about how AI will reshape work.
But here's what the most thoughtful organizations understand: agentic AI is a force multiplier, not a workforce replacement. The goal isn't to substitute AI for human judgment—it's to empower your people to do what they do best. But faster and with greater impact. Like any technology, AI is driving changes in demand for different job roles, decreasing demand for some and increasing it for others. Your team wants to be skilled in the roles of the future.
When implemented strategically, agentic AI handles the repetitive, time-consuming tasks that drain cognitive bandwidth. Your people get to focus on the creative problem-solving, relationship building, and strategic thinking that actually drive business value. The organizations that communicate this vision clearly—and back it up with genuine investment in their workforce—will retain top talent while their competitors struggle with turnover and disengagement.
The EY findings on training are unambiguous: 89% of employees believe upskilling and reskilling are crucial for staying relevant in an AI-augmented workplace. Yet 59% cite a lack of adequate training as a barrier to developing agentic AI-related skills.
This gap represents both a problem and an opportunity. When organizations fail to provide structured AI training, employees are left to cobble together their own education from inconsistent sources. The result is uneven capability, heightened anxiety, and the shadow AI usage that creates IP and compliance risk.
The EY research shows what happens when organizations take training seriously: employees at companies with clear AI communication are 69% more likely to use agentic tools, 61% more familiar with available capabilities, and 26% more eager to embrace AI in their roles. Training doesn't just build skills—it builds confidence and adoption.
One of the most telling statistics from the EY survey: 61% of desk workers feel overwhelmed by the constant influx of agentic AI information. The hype cycle around AI has created a tsunami of content, much of it contradictory, speculative, or deliberately ‘spun’.
This information overload reinforces why organizations must take ownership of their AI journey rather than leaving employees to navigate the chaos alone. When your workforce is bombarded with conflicting messages about AI's capabilities and implications, clarity becomes a competitive advantage.
A structured AI strategy—one that involves your people from the outset in identifying challenges where AI can help, then provides training and clear communication about solutions—cuts through the noise. It transforms AI from an abstract threat into a concrete tool that employees understand and know how to leverage.
Perhaps the most compelling data from the EY survey concerns the impact of clear organizational communication. At companies that clearly communicate their AI agent strategy, 92% of workers report that working with AI agents has positively impacted their team's productivity. That’s 30 points higher than for organizations without clear communication.
This isn't about generating enthusiasm for its own sake. It's about translating technological capability into operational performance. When employees understand the strategy, trust the guardrails, and feel equipped to participate, adoption accelerates, and results follow.
The EY research confirms what forward-thinking leaders already sense: the organizations that will win the AI era aren't necessarily the ones with the most advanced technology. They're the ones that build agentic AI-augmented teams—human expertise amplified by intelligent systems, working in harmony toward shared goals.
This requires deliberate orchestration. It demands clear communication from you about strategy and expectations. It necessitates real investment in training and development. And it benefits enormously from partners who bring both technical sophistication and deep industry knowledge to the table.
The hybrid approach, combining agentic AI with human experts who understand your industry, isn't just one option among many. It's the approach that addresses the full spectrum of challenges the EY survey identifies: security concerns, training gaps, communication failures, and the fundamental need to build AI solutions that fit your organization rather than forcing your organization to fit generic AI tools.
Agentic AI represents a genuine inflection point for business. The EY findings make clear that employee enthusiasm is there—84% are eager to embrace these tools. The technology is maturing rapidly. The productivity gains are real and measurable.
What's missing in most organizations is strategic leadership. A clear plan that creates agentic AI-augmented teams. Communication that addresses employee concerns while building genuine capability. Training that transforms anxiety into confidence.
The organizations that get this right will see their workforces operate at new levels of productivity and creativity. The organizations that don't will watch their best people either disengage or leave for competitors who have figured it out.
The choice is yours—but the window for action is closing.
Ready to develop an agentic AI strategy that empowers your team while protecting your business? Contact RapidCanvas to learn how our Hybrid Approach™ combines Agentic AI + Human Experts to create solutions tailored to your goals, platforms, data, and industry. Schedule a 2-day AI Workshop in which data scientists and category experts work with you to develop a roadmap for AI adoption. To hear what our clients say about us, read their reviews on G2.
