Everyone's aware that the rapid adoption of AI over the past few years has led to more than a few growing pains. Beyond the increasing opposition to the development of data centers and the policy and compliance related headaches business owners face as they navigate the introduction of AI into their organizations a new storm is brewing. Baltimore Business Journal and Resume Now are calling it the "AI-Whelmed Worker".
The AI-Whelmed worker is just as anxious as he is excited. He's trying to "catch up" with AI but she isn't exactly certain how to do it. Resume Now surveyed more than 1,000 workers and released findings that paint a detailed picture of a workforce caught between expectation and uncertainty. According to the Baltimore Business Journal, which covered the findings, 44% of respondents said they feel overwhelmed by the pressure to learn and use AI tools on the job.
The worst part? No one is swooping in to save the day. There's a structural gap between what organizations expect from their employees and what they're actually providing in terms of direction, training, and support.
Confidence Is Low, and Guidance Is Often Absent.
That combination, low confidence paired with a lack of starting direction, points squarely to an organizational problem as much as an individual one. The survey found that 42% of respondents said there is no expectation at all to use AI in their current role, 23% said AI use is encouraged but not required, and 18% said the topic has come up informally without any real direction being set. Only a minority of workers reported operating under clear, defined AI expectations from their employers.
Resume Now career expert Keith Spencer framed the issue this way: "It means they are trying to keep up with a fast-changing workplace while feeling unsure of where to start or how to build confidence in their AI skills. For workers who feel behind, the best first step is to focus on one or two areas where AI can make their work easier, faster or stronger."
Workers Are Spending Their Own Money to Fill the Gap.
One of the more striking findings from the study is how employees are responding to this pressure in the absence of employer-provided support. 30% of respondents said they are either somewhat likely or very likely to invest their own personal money to improve their AI skills. That level of individual initiative reflects genuine motivation, but it also signals that workers don't feel they can wait for their organizations to catch up.
For employers, that should be a wake-up call. When employees are quietly spending their own resources to remain competitive in their own workplaces, it suggests the organization has fallen behind on defining its AI strategy and communicating it clearly to staff. Beyond the morale implications, there are real risks: inconsistent AI tool usage, employees learning from unvetted sources, and a fragmented approach to a technology that touches security, compliance, and operations.
The "AI-whelmed" phenomenon isn't limited to large enterprises or tech-forward industries. Organizations across sectors, including healthcare, manufacturing, construction, and professional services, are navigating the same pressure to adopt AI tools while managing employee readiness, data security concerns, and integration complexity.
The Resume Now data points to a few clear action areas for business leaders:
Organizations should establish a defined AI use policy that tells employees which tools are approved, how they should be used, and what is off-limits from a security and compliance standpoint.
Structured, role-specific training is more effective than general AI awareness campaigns because it gives employees the practical use cases Spencer described: concrete skills tied to their actual daily work.
Leadership needs to set clear expectations rather than leaving AI adoption to individual interpretation, since ambiguity is a primary driver of the uncertainty the study documents.
The findings also carry an implicit security dimension that the study doesn't address directly. When employees are self-sourcing AI tools and training without organizational oversight, shadow IT risks increase. Unvetted AI tools can expose sensitive business data, create compliance gaps, and introduce vulnerabilities that IT teams never sanctioned.
If your organization is trying to sort out how AI fits into your operations, which tools are appropriate, and how to build employee readiness without creating security exposure, InfoPathways can help. We work with businesses to develop practical technology strategies that account for both capability and risk. Reach out to start a conversation about where your team stands and what a structured approach to AI adoption could look like for your business.