Workday Got Nearly 80% of Its Employees to Use AI—and It Took More Than Just One General Training

Artificial intelligence has become the defining force of modern business—but getting employees to actually use it is another story. While many companies struggle to inspire adoption, Workday has quietly achieved something remarkable: nearly 80% of its global workforce now actively uses AI tools in their day-to-day work.

The company’s success didn’t come from a one-time training session or a flashy product launch. Instead, it stemmed from a deep cultural transformation led by CEO Carl Eschenbach—one that focused on trust, transparency, and real-world application rather than fear and theory.
Building a Culture, Not a Campaign
When AI first began sweeping through industries, many workers viewed it as a threat. Automation anxiety was real—employees worried that machines might eventually replace them. But at Workday, leadership took a different approach. Rather than pushing AI as a productivity mandate, Eschenbach framed it as a personal growth opportunity.

“The goal wasn’t to tell employees they had to use AI,” he explained. “It was to help them see why they’d want to.”
That shift in narrative made all the difference. Instead of positioning AI as a corporate initiative, Workday turned it into a shared journey—an exploration of how technology could empower every role, from engineers and analysts to HR managers and designers.

Beyond One-and-Done Training
Many companies rely on a single AI training course or webinar to get employees up to speed. Workday went further. Its adoption strategy centered on continuous learning, hands-on experimentation, and visible success stories that reinforced the real value of AI at work.
The company launched a series of interactive learning programs that combined theory with practice. Employees could explore AI concepts at their own pace, attend live sessions with data scientists, and immediately apply new tools to their own projects.

What made these programs work was relevance. “We didn’t teach AI in the abstract,” said one Workday executive. “We showed employees how AI could help them write better reports, predict workforce trends, or make smarter business decisions. That’s when it clicked.”
To reinforce adoption, Workday also created internal communities of practice—small peer groups where employees could share their experiences, troubleshoot problems, and inspire others to try new tools. This collaborative, non-judgmental environment helped remove fear and replace it with curiosity.

Leading by Example
Workday’s leadership didn’t just talk about AI—they used it. From HR and finance to marketing and customer success, senior executives publicly showcased how they leveraged Workday’s own AI-powered tools to make better decisions and streamline workflows.
When employees saw their managers using AI to gain insights and save time, it normalized the behavior. “People mimic what leaders model,” Eschenbach noted. “When leaders are transparent about how AI helps them, adoption follows naturally.”

Making AI Practical and Human
A key part of Workday’s strategy was ensuring that AI never felt cold or intrusive. The company invested heavily in building trustworthy, explainable AI—technology that employees could understand and rely on.
Every AI feature inside Workday’s platform is designed to be transparent about how it operates and what data it uses. Employees are informed when an AI model is making a recommendation, and they’re encouraged to use their own judgment alongside it.
This focus on human oversight has been critical to adoption. As Eschenbach put it, “AI should augment human intelligence, not replace it. When people see that AI is working with them, not against them, they engage more deeply.”
The Ripple Effect of Confidence
Once employees started experiencing real benefits from AI—such as faster reporting, better forecasting, and easier access to insights—momentum spread quickly. Teams that initially hesitated began experimenting, sharing results, and even developing new AI use cases for their departments.
By the time Workday measured usage, nearly eight out of ten employees were leveraging AI in some form. And the shift wasn’t just technical—it was psychological. Workers began viewing AI as an extension of their capabilities, not a threat to their identity.
From Training to Transformation
What Workday achieved goes far beyond training adoption rates—it represents a cultural transformation that many organizations still struggle to achieve. The secret, according to Eschenbach, lies in focusing on people, not technology.
“You can’t build an AI-ready company with fear,” he said. “You build it with understanding, support, and empowerment.”
By blending education with empathy, and technology with trust, Workday created an environment where employees felt safe experimenting, learning, and growing alongside AI. That emotional safety has turned into measurable success: faster decision-making, more engaged teams, and a workforce that’s future-ready.
The Takeaway
Workday’s AI adoption story proves that technology transformation isn’t about coding skills or automation—it’s about mindset. When companies invest in continuous learning, lead by example, and make AI feel human, people naturally embrace it.

For Workday, the 80% adoption milestone isn’t the finish line—it’s the foundation for what comes next. As Eschenbach puts it, “The future of work isn’t man versus machine. It’s man and machine, moving forward together.”