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80% Employees Report A Positive Experience With AI At Work. How Can HR Build On That?

80% Employees Report A Positive Experience With AI At Work. How Can HR Build On That?

By Mary Rizzuti, Partner at EisnerAmper

As the use cases for artificial intelligence in the workplace have multiplied, so have questions about how organizations can use this technology most effectively. A recent survey by EisnerAmper of 1,000 employees across a range of industries, who have used AI at work in the past year, found that 80% reported a “positive” experience. Furthermore, 64% of the employees said they are using the time saved through AI to do more work – confirming the potential of the technology to automate and accelerate repetitive tasks, while freeing users to focus on higher-value activities.

And yet, it is not clear that the majority of employers are building on these positive outcomes to maximize the benefits of AI platforms. Let’s look at some key reasons why this is the case – and what HR professionals can do about it.

One challenge is that a sizeable number of employees, 27%, claim they don’t know who is leading the AI efforts at their company. This “leadership vacuum” implies that employers could be doing more to actively encourage the use of AI, and to focus on its most relevant and productive applications.

Another obstacle to the wider adoption of AI is its underutilization in onboarding. Fewer than 20% of the survey respondents said their organizations use AI for onboarding. Yet, nearly 92% of employees who did experience AI during onboarding described the process as “very positive” or “somewhat positive”. This disconnect suggests that employees might be more comfortable using AI – and using it in ways most beneficial to their employers – if they experienced the technology from the “get go” at onboarding time.

Employees Outpace Employers in AI Adoption

There are a number of other complications related to the use of AI in a corporate environment. One of the most significant issues is whether the company plans to employ internally developed AI systems, or adopt off-the-shelf products. Employees need clear direction on what the corporate policy is in this case, and whether the use of externally sourced AI programs is permissible.

Last, but certainly not least, employees need to have greater clarity about the implications of AI for their jobs, in order to alleviate concerns and foster more “buy-in”. More than half of the employees surveyed (almost 52%) were “strongly” or “somewhat” concerned about potential job changes or displacement due to AI. And 74% said that “people should be compensated” for their AI experience and skill.

Clear Direction Needed from Company Leaders

Given the findings noted above, organizations should consider the following actions:
We strongly advise companies to establish a Steering Committee to take the lead in AI adoption. Ideally, the Steering Committee would consist of members from across the organization, representing a range of responsibilities and functional capacities. It is important to include employees at different levels of seniority, not just senior executives, as newer team members are more likely to be active users of AI.


– The Steering Committee should assess all the ways that AI may be (or is already) applied to the company’s operations and develop an appropriate deployment strategy, including clear priorities. For example, is AI being used for internal functions, such as an HR chatbot, or in external-facing roles, such as customer service, among other uses? Understanding how employees “on the ground” are utilizing these systems will be essential to adopting an effective AI strategy.


– Apply AI more broadly to the onboarding process so employees “get the message” early on that it is intrinsic to the organization. One caveat, however, is that the AI-driven onboarding process should not take place in a vacuum. Use of AI during onboarding will be most beneficial if the company is truly committed to and delivers on the use of artificial intelligence on an ongoing basis.


– Once the Steering Committee has established the AI strategy and top priorities, leadership needs to frankly assess the impact on employees. While some functions will likely be replaced by AI systems, there may be opportunities for upskilling some employees or shifting some team members to other areas. Over the long term, it will be important to implement clear processes for transitioning employees who AI displaces.


– As for whether or how to compensate employees who acquire advanced AI skills, an increase in base pay is probably not the best option, as it may lead to long-term structural salary inflation. A better solution might be a spot bonus or stipend, which would incentivize AI mastery without up-ending pay scales.


– As with all change, clear, consistent communication is key to managing concerns, encouraging engagement and acceptance, and soliciting input for continued improvement.

The above observations show that, in many cases, employees are actually ahead of their employers in unlocking the value of artificial intelligence. To realize AI’s vast potential, organizations would be well-advised to take a more strategic and intentional approach to deploying the technology in the workplace.

Assess, Prioritize and Communicate

Mary Rizzuti is a Partner at EisnerAmper and Practice Leader of HR Advisory and Outsourcing and Compensation Resources. With over 25 years of experience in compensation and human resources consulting, Mary has gained significant expertise in evaluating, designing, and developing creative compensation and human resources programs across all industries and business sectors.

Mary coordinates and executes business development initiatives while building strong working relationships with clients and strategic partners. With extensive experience within the not-for-profit and private company sectors, Mary provides clients with comprehensive consulting in executive compensation, salary administration, sales compensation, and performance management. Also included in her scope of expertise is interpreting market data and providing guidance to senior leadership and boards of directors on applying best practices and aligning market data to each company’s unique environment.

About Mary Rizzuti

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