Many companies see artificial intelligence as a way to automate work and improve efficiency. But there is another question that often receives less attention: does the technology improve the employee experience?
As companies invest heavily in artificial intelligence, much of the conversation has centered on productivity.
Executives want to know how much time AI can save. Technology vendors highlight efficiency gains. Investors look for signs that AI can help businesses do more with the resources they already have.
These are understandable goals.
But focusing only on automation and cost savings can create a blind spot.
According to Jason Rosenfeld, Chief Growth and Alliances Officer at NewRocket, organizations that prioritize efficiency without considering how employees interact with new technology may face challenges driving long-term adoption.
As an elite ServiceNow partner working with large enterprises undergoing digital transformation, NewRocket works closely with organizations navigating the complex balance between automation, employee satisfaction, and operational efficiency. That vantage point provides insight into how AI initiatives are being evaluated and implemented across large enterprises.
Rosenfeld believes employee experience should be treated as a core consideration in AI strategy rather than an afterthought. While automation can streamline processes and reduce manual work, the ultimate value of workplace AI often depends on whether employees find the tools useful, intuitive, and supportive of their daily responsibilities.
Two Different Definitions of Success
For business leaders, a successful AI project might be one that reduces manual work, speeds up processes, or lowers operating costs.
For employees, success may look different.
A new tool is valuable if it makes work easier, removes frustrating tasks, reduces administrative burden, or helps people make better decisions.
Those goals can overlap, but they are not always the same.
An AI system may improve a process on paper while creating new challenges for the people using it. If employees find a tool difficult to use, unreliable, or poorly integrated into their workflow, they may not see it as an improvement, even if leadership views it as a productivity gain.
The Risk of Leading With Cost Savings
How companies talk about AI can also shape how employees perceive it.
When announcements focus heavily on efficiency, automation, and cost reduction, employees may naturally wonder what those changes mean for their roles.
A different message is possible.
Organizations can frame AI as a tool that helps people spend less time on repetitive work and more time on tasks that require judgment, creativity, or human interaction.
From Rosenfeld’s perspective, AI initiatives are often most effective when they address specific employee challenges rather than being deployed solely to achieve broad automation goals. In that approach, employee value becomes a key driver of adoption.
Adoption Is a Human Challenge
Deploying AI is ultimately not just a technical exercise.
The success of any workplace tool depends on whether people choose to use it and find value in it.
That is why employee experience deserves a place alongside traditional business metrics when organizations evaluate AI initiatives.
Questions such as “Does this save employees time?” or “Does this reduce frustration?” may be just as important as questions about efficiency or return on investment.
A Broader View of AI Success
Artificial intelligence has the potential to change how work gets done across industries.
But organizations may benefit from defining success more broadly than automation alone.
Cost savings and productivity gains are important business objectives. At the same time, employee experience can influence whether a tool becomes a meaningful part of daily work or simply another piece of software added to the stack.
As companies continue to experiment with AI, Rosenfeld argues that leaders should evaluate not only what work can be automated, but also how technology affects the people expected to use it every day.
That broader perspective may ultimately determine whether AI becomes a transformational business tool or simply another technology initiative with limited impact.
