• Kiley Pulley became Walmart's youngest US store manager at 21, starting as a cashier at 16.
• Her former store manager helped her through her succession plan and interviews.
• Pulley emphasizes learning daily and adapting for career growth.

This as-told-to essay is based on a conversation with Kiley Pulley, a 23-year-old Walmart store manager in Buckeye, Arizona. It has been edited for length and clarity.

In 2019, when I was 16 years old, I started working at Walmart as a part-time cashier. I wanted my own money, and figured, why not just get a job?

My sister and my mom were already working there, and it was also right down the street from my high school. It was easy for me to get out of school and walk to work.

Over the next few years, I moved through different roles, from cashier to stocker to online fulfillment. Then, when I turned 18, I became an academy trainer, and six months later, a digital team lead.

When I became a team lead in mid 2021, it hit me that I wanted to stay at Walmart full time and make it my actual career. At 19, I became an operations manager, and right before I turned 22, I became the youngest store manager at Walmart in the US.

People ask me, "How did you do it?" My answer is to show up and learn something new every day. Here are six things I've learned along the way.

I realized I could help people by hiring them

Originally, I wanted to start either my own nonprofit or my own business and help out the homeless population; then I realized that I could do all that through Walmart.

I could make a difference through the people that I hire and the impact that I have on my associates at the store.

When I became a team lead, I was making good money, and I also really liked it. I started actively working toward becoming a store manager. I got on succession plans and was on monthly calls with our market manager. When I became an operations manager, I led multiple projects in our market to get myself ready to become a store manager.

I'd also ask to cover for store managers when they'd take off work; that way I could gain additional experience that was needed to be promoted. I remember thinking, I'm going to be a store manager at 21. I'll be the youngest in the company.

I had to learn that my words carried more weight

As an associate, I was friends with everybody. I could joke around with everyone. When I became salaried, everything changed.

One of the biggest learning points for me has been the way I talk and how to engage with people from different cultures. Changing my tone and limiting the joking and playful attitude felt necessary as a leader in the building.

At the time, setting new boundaries for myself made me feel more confident in my new role and even now in my current role.

I was a little nervous when I first went into a salaried position. People said I might have issues managing those older than me, but I've never had problems with my team not respecting or listening to me.

I also made my social media profiles private. I think connecting on social media can make it harder to separate between being someone's manager and being their friend.

I had to learn how to delegate

Getting out of the "if I want it done the right way, I'll do it myself" mindset was a big learning. I realized not everyone's going to know everything that I know, and if I really want to delegate and get tasks done, I'm going to have to teach and train.

A big part of being an academy trainer and team lead is training your associates. Once you get to operations manager, you kind of have to step back and expect your team leads and academy trainers to do that same thing.

I had to learn that if I delegated, things could get done faster or more efficiently.

I had to learn to be a servant leader

When it comes to my associates, if they need something, whether that's ordering the supplies or putting in tickets for them, I want to do that. I want to advocate for them.

I know it makes them more productive, but they'll probably be happier coming to work, too.

Also, everyone likes the appreciation of, "Hey, thank you for doing this today," or "Thank you for going above and beyond on this."

I had to learn to have work-life balance

When I first became salaried, I was always on the clock. I stopped going to the gym, and I sacrificed some time with my fiancé and family. I'd stay at work and say, "They need me."

It was my fault; the team didn't need me that badly. Now, I'm doing better. When I get home, I'm not spending the whole day looking at metrics or constantly texting my team. I've gone back to the gym.

I learned to take a step back and trust my leaders to do what they need to do. I trust that they know what they're doing.

I think there's always going to be some event you could miss out on. That can be hard to juggle sometimes, but I'm lucky enough to have a fiancé who's also career-focused and driven, so we kind of use each other as motivation.

I realized I could build a career without giving up on school

I went to college for business and ended up dropping out when I got my salaried position. I told myself that I'd get back into college when I got my first store.

My old store manager was the one who promoted me through all of the hourly supervisor roles. She even prepped me for my first salaried role. She sat in the office reading interview questions with me. Every time I'd say the word, 'um,' she'd say, "Nope, restart."

She was constantly there for me, and even still having her as someone to go to has been great. My market manager has also known me since before I started promoting. Every time I think I'm too young to be in this room, he's always in my corner.

I'm now enrolled in Live Better U, a program where Walmart pays for certain bachelor's degrees. I'm getting some of my foundational courses, and then I plan to get my college degree.

Keep pushing to learn more

For teenagers starting out, I encourage them to do a good job and learn as much as they can.

Companies are constantly changing, especially with technology. It's important to adapt and not be comfortable with what you already know.

When I look at my future at Walmart, I told myself I'd get to market manager at 27 or 28 — that's my short-term goal. Then, long-term, my goal would be regional EVP.

One thing I always remind myself is that I worked hard to get to this life, so I can't be upset now that I have it. Maybe we don't have time to do all the fun things right now, but if we work hard through our 20s, thinking about where we might end up when we're 30 or 40 keeps me motivated.

A European Commission survey has found widespread adoption of artificial intelligence among smaller businesses, but considerable reluctance to allow automated systems to make decisions about employees. The findings expose a growing divide between technological investment and confidence in workplace automation.

Artificial intelligence is becoming established across European businesses, but almost half of companies remain unwilling to trust automated systems when decisions concern their employees, according to a European Commission survey published on 14th October.

The Eurobarometer findings show that 42 per cent of the small and medium-sized enterprises and mid-cap companies surveyed already use artificial intelligence or algorithmic management systems, although most deployment remains limited or experimental. A further 21 per cent intend to introduce such technologies in the future.

Despite this expanding adoption, 49 per cent of respondents said they did not trust artificial intelligence or automated systems to make staff-related decisions. The figures suggest that companies increasingly distinguish between using technology to improve business processes and delegating managerial responsibility to software.

The Commission’s survey of European businesses was conducted between March and April 2026, involving approximately 12,826 telephone interviews with company leaders across the EU’s 27 member states.

Businesses prefer assistance to automation

The survey provides a more detailed picture of workplace AI than conventional statistics measuring whether companies have adopted the technology.

Among the businesses interviewed, customer service and client relations were the most commonly reported areas of application, accounting for 47 per cent. Monitoring employee performance and productivity accounted for 36 per cent, while logistics, planning and staff scheduling represented 30 per cent.

These functions differ substantially in their consequences for workers and managers.

A system that helps organise deliveries or forecasts customer demand may improve efficiency without directly determining employees’ working conditions. Software that evaluates performance, allocates shifts or recommends staffing changes can influence employment decisions and requires a different level of organisational supervision.

The survey found that 61 per cent of companies considered AI useful in supporting decisions. However, human involvement remained central: 90 per cent of respondents reported that people continued to make decisions, while fully automated decisions accounted for only 2 per cent.

The results undermine the assumption that adopting AI necessarily means transferring control of business operations to autonomous systems.

For many companies, the immediate commercial value lies in processing information more rapidly, identifying patterns and reducing administrative workloads rather than removing human management entirely.

Investment costs remain a substantial barrier

Financial and organisational obstacles continue to limit adoption.

Half of the companies surveyed cited high investment costs, while 49 per cent identified legal uncertainty and 48 per cent pointed to insufficient expertise.

These findings are particularly relevant to small businesses, which frequently lack dedicated technology teams, extensive data infrastructure or the resources to evaluate complex software systems independently.

For such businesses, purchasing AI tools is only one component of the investment. Implementation can also require employee training, changes to internal procedures, data-security assessments and continuing technical support.

The findings add a workplace dimension to concerns raised in EU Today’s earlier examination of Europe’s AI productivity gap, which identified investment, computing capacity and organisational restructuring as obstacles to translating adoption into higher productivity.

A company may purchase sophisticated software without necessarily achieving corresponding improvements in performance. Those improvements depend on whether the technology is integrated into everyday operations and whether employees have the skills to use it effectively.

Brussels prepares further workplace legislation

The survey arrives while the European Commission is considering additional rules on algorithmic management through its proposed Quality Jobs Act.

The initiative is intended to address working conditions, workers’ rights and the increasing use of automated systems in managing employees.

A consultation launched in July asked European employers and trade unions to consider transparency in automated decisions, excessive workplace monitoring and the responsibilities of companies using AI.

The second consultation phase ended in September, allowing social partners to propose negotiated arrangements before the Commission determines its next legislative steps.

The broader regulatory framework is already changing. As EU Today explained when the AI Act entered a new enforcement phase, Brussels has begun enforcing certain obligations for general-purpose AI models, while important requirements for high-risk applications, including employment-related systems, follow a later timetable.

Stand-alone high-risk systems are scheduled to face the relevant obligations from December 2027, with another deadline in August 2028 for high-risk systems embedded in regulated products.

The distinction matters for employers planning investments today. Existing data-protection and employment obligations continue to apply, but some of the AI Act’s more specific compliance requirements remain subject to transition periods.

The Commission’s latest survey indicates that businesses are already exercising caution independently of these future obligations. Their reluctance to automate sensitive staff decisions suggests that accountability, reliability and employee confidence will remain important factors in determining how extensively artificial intelligence is deployed.

For Brussels, the challenge is to establish workable rules for that transition without making implementation prohibitively expensive for smaller companies, which account for much of Europe’s employment and commercial activity.