Your robots may be working, your staff may not

Picture the dashboard three months after a hotel rolls out delivery robots. Room-service times are down, guest scores are steady, and the robots are logging hundreds of runs a week. By every operational measure, the project is a success.

What the dashboard cannot show is how the team working beside the robots feels about it. That is where our review of 129 studies on service robots in hospitality and tourism suggests rollouts are really won or lost, and the warning signs often appear well after the metrics say everything is fine.

Good numbers can hide a problem

One recent study of hotel employees found that when staff felt robots signalled an employer valuing efficiency over people, visible service performance went up while their passion for the job went down. For operators, the lesson is uncomfortable: steady guest scores are not proof that the team is fine. By the time disengagement shows up as resignations, it is expensive to reverse.

Some signals are easier to spot if you know where to look. Another study found that staff who saw robots as a risk to their jobs were more likely to mistreat them. So when a robot keeps “breaking down” on one particular shift, it is worth asking questions about the team as well as the technology.

Why it happens

Two patterns recur across the research. The first is unclear intent. Managers often see a robot as support for stretched teams; staff can read the same purchase as the first step towards cutting their hours or their jobs. If nobody explains the decision, staff assume the worst.

The second is unclear roles. When it is ambiguous which tasks belong to the robot and which to the team, staff become less willing to work with it, even if they have no objection to robots as such.

The type of robot matters too. Back-of-house robots handling repetitive or physical tasks tend to feel less threatening than robots designed to interact socially with guests. Insecurity appears to peak with robots that are moderately socially capable: good enough at conversation to look like they could do the part of the job staff value most.

Nor is a young workforce a guarantee of smooth adoption. Generation Z employees tend to accept robots in principle, but they are especially sensitive to how fairly a rollout is handled and how much say they keep over their work. When insecurity sets in, it feeds directly into intentions to quit.

The good news is that none of this is fixed. Across several studies, supportive and transformational leadership consistently weakened the link between feeling threatened by robots and pulling back from work. The evidence is still developing, but the pattern is consistent enough to act before disengagement becomes turnover.

A four-step playbook

1. Say why, before launch. Tell the team what the robot is for and what it means for hours and roles. If hours will change, say so; rumour is worse than bad news.

2. Write down who does what. Be specific about which tasks the robot owns and which stay with people, make sure guests know when to ask a person instead, and give staff clear authority to step in when the robot gets it wrong.

3. Then invest in the team. Training lands better once purpose and roles are clear. Give supervisors room to let staff reshape their own tasks around the robot, and value managers who build genuine rapport with their teams: it is linked to more harmonious human–robot co-working.

4. Measure more than speed. Alongside service times and guest scores, track engagement, voluntary turnover and whether staff still share problems and tips with each other. Treat a dip as a signal to revisit management decisions, not as resistance.

What good looks like

The strongest teams split the work by what each partner does best. Robots take the consistent, repetitive or physically demanding tasks; deployed at clearly defined touchpoints, they can deliver guest satisfaction on a par with human staff. People own judgement, reassurance, quality checks and anything unexpected. When robots fall short, it is attentive staff who keep guests coming back.

Autonomy is what turns robot failures from a flashpoint into a strength. When a robot gets an order wrong or stalls in a corridor, employees with the authority to step in tend to adapt, while those left waiting for instructions are more likely to push back against the technology. And where collaboration works, conditions are good and staff keep that autonomy, their careers alongside robots look more sustainable, not less.

The robot is the easy part of the investment. The team around it decides whether it pays off.

In our research, we call this team-level capacity hybrid service agency: what people and robots can achieve together that neither could achieve alone.

This article draws on M. Borghi, P. Ratcharak and B. Taheri (2026), “Hybrid Service Agency: Human–Robot Collaboration and Workforce Transformation in Hospitality and Tourism”, The Service Industries Journal.