The promise and impact of artificial intelligence in the workplace is no longer theoretical. AI tools optimize processes, generate content and deliver insights at unprecedented speed. But for some experts, the potential of AI seems unattainable. Not because of technical limitations, but because they were not taught how to use it.
AI PCs are poised to change that. These next-generation devices feature on-device AI optimization, natural language models, and intelligent workflows built into the operating system. All massive productivity enhancers are redefining what digital work looks like. Employees will be able to learn new skills and gain a better understanding of how to collaborate with AI in an intuitive, safe and efficient way.
The skills gap is not what you think
For all the talk about an “AI skills shortage,” the problem isn’t necessarily technical. The gap boils down to comforting yourself, understanding the context, and gaining confidence. Employees don’t have to become data scientists. However, they must understand how to interact with AI tools, review and evaluate results, and use them throughout their workflow.
We spoke with Tom Butler, vice president of commercial product and portfolio management at Lenovo, and he emphasized that the biggest hurdle is not interest, but speed. “Technology is advancing faster than workforce skills are evolving,” Butler said. And companies are struggling to keep their employees informed as tools constantly change.
The answer? Shift the focus. Instead of upskilling for the biggest and brightest new “shiny object,” companies should instead prioritize what Butler calls “everyday digital fluency.” This includes:
- Targeted Prompts: Formulate clear, results-oriented requests.
- Data awareness: Knowing how AI models are trained and what they need to produce trustworthy results.
- Security competency: Understanding when data stays local and how hybrid AI environments work.
Developing these capabilities across the enterprise would transform AI from a black box into a force multiplier. And when these capabilities are paired with hardware designed from the ground up for AI, the sky is the limit.
What characterizes an AI PC?
Instead of relying solely on cloud processing like traditional devices, AI PCs shift performance to the edge. On-device AI means models run locally, giving users faster and more private interactions. This may sound like a minor improvement, but creating creative content on the fly, gaining customer insights during a sales call, or reviewing patient documentation mid-shift makes all the difference.
For example, Lenovo’s ThinkPad portfolio includes neural processing units (NPUs) that power powerful tools like real-time language translation, meeting summaries, image enhancements, and more. User interactions with the device are also changing. You’ll have to rely less on navigating menus or learning new apps. Instead, users interact with AI PCs through natural language and intent-based workflows. Ask a question, make a request and let the system do the heavy lifting.
From digital tools to digital judgment
Of course, with greater autonomy comes greater responsibility. Generative models are powerful, but not always precise. Detecting hallucinations, checking for bias, and knowing when to hit the brakes is what separates effective AI users from overwhelmed ones.
Butler refers to this as “digital judgment,” which is central to the effective use of AI. This type of thinking quickly becomes a basic skill. And the good news? It can be taught.
Scenario-based training, where employees interact with AI tools and analyze the results, can be one approach. Alternatively, an organization could embed AI interactions into familiar tools such as word processors and presentation software. The key is visibility and repetition: Show users how AI fits into the work they’re already doing, which builds trust over time.
Workflows are changing. Skills should also be there.
The move to AI PCs is a signal that the way we work is changing again. Tech-savvy employees are no longer limited to fixed processes or static tools. With AI embedded in the device, they can start designing their own workflows, connecting automation chains and streamlining repetitive tasks in ways that would have required a developer just a few years ago.
This creates space for a new class of professionals that Butler calls “AI champions.” These are not engineers or IT administrators. These are employees who understand the business and have acquired the ability to use AI in practical everyday life. Think of them as translators, bridging the gap between what is possible and what is actually useful.
Organizations that invest in these internal advocates through early training access, mentoring programs, or collaborative sandbox environments not only gain operational efficiencies. You build resilience. They future-proof their teams for the next wave of change.
Cultural buy-in trumps technical adoption
It’s easy to focus on technique. But as many companies have learned the hard way, successfully adopting AI goes beyond implementation and depends primarily on trust.
When employees are encouraged to experiment, provided with transparency about how models work, and given a safety net to ask questions or raise concerns, companies will see accelerated adoption. Lenovo’s own rollout strategy focuses on creating psychological safety alongside technical training.
And it works. As AI becomes more embedded in familiar tools, fears are giving way to curiosity. What started as “Will this replace me?” turns into “How can this help me do more?” And therein lies the magic.
The path ahead is not only faster, it is also smarter
Looking forward, companies need to go beyond training sessions and consider intelligence infrastructure. This includes:
- Embedding responsible AI frameworks into policy and design
- Building accessible feedback loops for AI tool performance
- Creating cross-functional roles for AI oversight and strategy
As Butler puts it, “Success in this era will depend less on the technology itself and more on how companies prepare their employees to use it effectively.” AI PCs may be the gateway, but it is the culture around them that enables real transformation.
The companies that thrive in this new era will be those that view AI not as an overlay, but as an opportunity to rethink their workflows, develop the new skills of their employees and engage each of them as employees.
With the right tools and a strong commitment to upskilling, companies can transform uncertainty in the age of AI into skills that give them a competitive advantage.
Learn more about how Lenovo AI PCs help teams gain the skills they need to thrive in the AI era.
