By Raj Namboothiry, Senior Vice President, Manpower North America

Story Insights

• AI is reshaping frontline work, but its greatest value lies in augmenting human capabilities—not replacing people: As automation handles routine tasks, workers can focus on the judgment, communication, problem-solving, and relationship-building skills that technology cannot replicate.
• The future of workforce planning depends on understanding skills, not just job titles: Organisations that identify transferable and adjacent skills can unlock new opportunities for frontline talent and build greater agility in the face of changing business needs.
• Continuous upskilling and reskilling are becoming essential components of frontline work: In an AI-enabled economy, learning can no longer be treated as an occasional event — it must be embedded into the daily operations of both employers and employees.
• Organisations that invest in frontline workers will be better positioned to thrive through disruption: By combining AI adoption with skills development, internal mobility, and transparent communication, employers can create more resilient workforces while turning technological change into a competitive advantage.

The World Economic Forum recently estimated 50% of the global population will need to be reskilled in the next two years. AI is not a distant disruption waiting somewhere on the horizon. It is already changing the nature of work, and for frontline workers in manufacturing, logistics, retail, health care, and service environments, that means the skills equation is shifting too.

We are accustomed to hearing about how AI transformation is impacting knowledge workers, but this leaves a huge part of the story out. Frontline workers are still the backbone of our economy, and whether they are performing manual labour or showing up to interface with customers, AI-based technologies and automated components are already affecting their job responsibilities.

In ways we never expected, frontline jobs today are informed by data. They leverage sophisticated AI-based systems that lighten administrative load but still require human judgment every day. AI can help frontline workers with a lot of things, like spotting patterns in customer engagement, troubleshooting a technology system, and optimising staffing levels. What AI cannot do is fix a breakdown in customer communication, decide to work with another team that has never been involved before, or make sense of a real-world problem only solvable through years of experience.

The global labour market is and will continue to be shaped by talent shortages, and as we’ve found in the 2026 ManpowerGroup Employment Outlook Survey, many more global organisations are increasing staffing levels rather than decreasing them. Given these circumstances, we need to think of AI as a force multiplier for the loyal people we already have. The most successful organisations will ask not just what AI can do for the business, but what AI can do for the worker.

And if we’re honest with ourselves right now, are we really using AI as a platform to elevate and expand human workers’ skills and contributions, or do some of us believe that total automation is both possible and desirable?

Frontline Work is More than Static Jobs

When I visit our client sites across the country, it reiterates my belief that we need to think of our people in terms of the skills they’ve acquired, not just the specific responsibilities they were hired to do. When reviewing résumés, we can look at job titles to see where people have been, but unless we analyse skills and their adjacencies, there’s no way for us to know what else those employees could do. In other words, we can’t assess the potential for frontline workers to perform other roles at a time when business needs change daily.

Even a frontline job that seems easy and straightforward at first glance provides an opportunity to see what skills our people have. For example, let’s suppose a retail cashier no longer has to ring customers out thanks to a new automated system. The value of this human worker doesn’t necessarily need to disappear. Instead, we need to ascertain whether the employee has the interpersonal skills to be out on the shop floor making personal recommendations to customers.

Automation frees up frontline workers to showcase and develop the human ability to read a room, build trust in a sticky situation, and make a quick judgment call in a scenario that could have reputational or even legal fallout. It’s pretty easy to see how many frontline roles are actually more sophisticated and complex since the advent of automation, and why new AI platforms are further augmenting human contributions.

But none of this happens automatically. More than ever, it’s critical that we perform real-time skills inventories based on how we expect frontline roles to be augmented. Just because an employee possesses a skill like persuasive communication at one time does not mean they are equipped to use it on the job today.

Furthermore, some employees might bring customer engagement skills to the table, an adjacent skill to persuasive communication. But we might not know this because their résumé never said anything about persuasion, and their job never required persuasion before because they were just ringing up customers.

Both leaders and workers need to take responsibility for the fact that frontline jobs are no longer static, and that upskilling and reskilling must take place at a fairly consistent rate. Training is not a standalone perk reserved for once a year. Rather, learning must become part of the organisation’s operational infrastructure — for everyone.

The Bar for Frontline Worker Learning is Much Higher

Historically, frontline workers in many industries received less formal training and fewer visible pathways to advancement than office-based employees. If we really want to build agile organisations, we must rethink this position. Frontline workers require the same investment in targeted skill acquisition, updated training, coaching, and internal mobility opportunities as their in-office counterparts.

At Manpower, we have seen that the most resilient organisations are including frontline workers in their plans to focus on people rather than platforms. They’re identifying skills, encouraging employees to be as broadly capable as possible, and providing a variety of ways to learn on and off the job.

In our frontline workers in particular, this is the time to build confidence as a capability. It’s natural that these employees might feel threatened by AI if they don’t understand it and worry they’re about to be automated out of a job. As leaders, we have to be transparent that learning AI skills and technologies is meant to help workers do their jobs better, and in a more rewarding environment. When AI is deployed well, frontline workers are freed from repetitive tasks and have more room to do work that gives them purpose and requires skill, judgment, and care.

AI absolutely has the potential to elevate frontline worker roles and skills. But we’re only going to get there if leaders put an infrastructure in place to continuously reskill and upskill, communicate their intentions clearly, and build workplaces where people can grow alongside the technology rather than being displaced by it.

Frontline workers are the public face of your brand, and by giving them new tools to interact with your human customers, you’re turning potential disruption into opportunity.

This article was originally published by ManpowerGroup. Read the original on manpowergroup.com.