From Cashierless Checkout to Robot Cooks, AI Is Rewriting
Who Does the Work Behind the Food. Steven Johnson, Grocerant Guru® at Tacoma, WA based Foodservice Solutions®, believes
that technology has always had a complicated relationship with foodservice
workers.
Twenty
years ago, the question was whether self-service kiosks would eliminate
cashiers. Then came mobile ordering, self-checkout, automated inventory
systems, voice ordering, delivery apps and cashierless stores.
Today,
the question is much bigger:
Will
Artificial Intelligence replace the foodservice worker—or simply change what
the foodservice worker does?
That
question is no longer theoretical.
It
is playing out every day in restaurants, convenience stores and
grocery-service-deli departments.
And
there is another group we should not overlook:
unit
managers.
The
cashier worries about losing the register.
The
cook worries about losing the fryer.
The
server worries about losing the table.
The
deli employee worries about losing the prepared-food counter.
But
the unit manager worries about something different:
How
many people will I need to run this store tomorrow?
That
is where AI becomes both a foodservice worker's potential job killer and an
operator's potential savior.
The Technology Train Has Left the Station
My
earlier article, “Foodservice Workers Worry as Cashierless Checkouts Mushroom,”
examined how Mastercard, Accel Robotics, Circle K, Dunkin' and White Castle
were experimenting with frictionless checkout and AI-powered ordering.
That
was not the end of the story.
It
was the beginning.
In
2024, grocery technology was already moving beyond traditional self-checkout.
Grocery Dive reported that grocers were experimenting with smart carts,
cashierless technology and other frictionless systems designed to address long
lines and labor challenges. Amazon's Just Walk Out technology was already being
used in venues such as airports and stadiums.
By
2025, the restaurant technology conversation had expanded dramatically.
Robots
were delivering food.
AI
was answering phones.
Robotics
were moving into kitchen production.
And
automated ordering was beginning to take routine work away from employees.
By
2026, AI has moved even further into the operating system of foodservice.
The
question is no longer whether AI is coming.
The
question is:
Where
will it stop?
1. The Restaurant Cook: From Fryer to Food Production
Supervisor
Consider
what is happening inside restaurant kitchens.
Chipotle,
for example, has been investing in automated kitchen equipment and robotic
technology. In 2025, the company was rolling out new kitchen equipment designed
to simplify restaurant operations across its system of thousands of
restaurants. It has also invested in Hyphen's automated makeline technology,
which can assemble digital orders such as bowls and salads. CAVA subsequently
invested in Hyphen as well.
That
creates an entirely different job description.
Yesterday:
Cook
the food.
Tomorrow:
Manage
the equipment that cooks the food.
That
sounds like a subtle distinction.
It
isn't.
If
one automated makeline can perform the repetitive portion of several employees'
work, the operator begins asking a different labor question:
Do
I need five people—or three?
That
is where worker anxiety is legitimate.
But
here is the other side of the equation.
Automation
doesn't necessarily mean a restaurant becomes employee-free.
Restaurant
Business has previously reported that robotic kitchen systems still require
people to program orders, restock ingredients, clean equipment and manage the
operation. In other words, the robot may perform the repetitive task, but
humans remain responsible for making the system work.
That
is an important distinction.
AI
may not eliminate the kitchen worker. It may eliminate the old definition of
the kitchen worker.
2. The Server: Is the Dining Room Becoming a Delivery Room?
The
front of the house faces an equally profound transformation.
Consumers
increasingly order through phones, apps, kiosks and websites.
In
2025, the National Restaurant Association reported that 51% of consumers
considered takeout or delivery essential to their lifestyle.
That
matters.
Because
every order that moves from a dining room table to a digital channel changes
the labor equation.
A
traditional restaurant requires:
Host
→ Server → Kitchen → Server → Busser → Payment
A
digital off-premises order can look more like:
Consumer
→ AI/Digital Order → Kitchen → Pickup/Delivery
Now
add delivery automation.
DoorDash
introduced Dot, an autonomous delivery robot, in September 2025. The small
electric robot is designed to operate on sidewalks, bike lanes and parking
areas as part of DoorDash's autonomous delivery platform.
Restaurant
technology companies have also demonstrated robots designed to transport food
to tables and remove dishes.
At
the 2025 National Restaurant Association Show, Pudu Robotics demonstrated Bella
Bot Plus, a robot designed to assist with food and beverage delivery and
repetitive tasks such as moving dishes and cutlery.
Think
about what that means for the traditional server.
The
server's job used to be:
Take
order. Deliver food. Refill drinks. Clear dishes. Process payment.
Technology
can increasingly perform portions of every one of those tasks.
So
what happens to the server?
The
best answer may be:
The
server becomes more valuable—but there may be fewer of them.
That
is a very different proposition.
3. The Phone Doesn't Need a Person Anymore
The
restaurant telephone is another example.
In
April 2025, Donatos announced it would deploy Revmo AI for automated phone
ordering across its 174 restaurants. The objective was to remove rote ordering
tasks from employees while improving order conversion and the guest experience.
Later
in 2025, Red Lobster announced systemwide deployment of SoundHound AI
technology to handle phone takeout orders. Again, the stated goal was to free
employees to concentrate on in-person service.
From
the operator's perspective, this is logical.
A
human employee answering the phone can handle one call at a time.
AI
can potentially handle multiple calls simultaneously.
That
is a productivity equation.
But
from the employee's perspective, it is also a warning:
If
answering the phone is 80% repetitive, why should an operator pay a person to
do it?
That
is precisely the question AI forces the industry to confront.
4. Convenience Stores: AI Is Moving Behind the Counter
The
C-store industry may be one of the most interesting laboratories for AI because
convenience retailers operate at the intersection of retail, foodservice, fuel,
prepared foods, inventory and speed.
In
2026, NACS reported that AI was moving into workforce optimization, inventory,
customer experience, foodservice monitoring and operational intelligence.
Majors
Management, which supports more than 1,400 convenience stores through its MAPCO
brand and supply network, announced plans in 2026 to deploy AI, machine
learning and agentic systems across pricing, inventory, loyalty, labor planning
and customer experience.
And
7-Eleven has been using AI technology to streamline recruiting, payroll, HR and
operational processes.
That
is important because the unit manager is one of the biggest beneficiaries.
7-Eleven
reported that its old hiring process could take nearly two weeks and involved
candidate ghosting and missed first days. Its AI-supported platform
consolidated recruiting and workforce systems. Importantly, the company's
talent leadership emphasized listening to store leaders and frontline employees
before implementing the technology.
That
is the right question for AI:
What
problem are we trying to solve?
Not:
Where
can we put AI?
5. The C-Store Foodservice Worker Faces a Different Future
The
convenience store is rapidly becoming a foodservice destination.
In
2026, industry technology providers described foodservice as the leading growth
opportunity for convenience retailers, with prepared food and grab-and-go
increasingly central to the business.
That
means the C-store employee increasingly isn't simply a cashier.
They
may be:
·
Preparing fresh food.
·
Managing hot-hold products.
·
Monitoring food temperatures.
·
Stocking grab-and-go meals.
·
Managing digital orders.
·
Cleaning equipment.
·
Handling customers.
·
Monitoring food waste.
·
Operating technology.
AI
can now help with many of those tasks.
NACS
reported in 2026 that AI-enabled food-safety systems can automatically monitor
temperatures, generate alerts and create digital audit trails, reducing manual
temperature logging.
That
sounds like a worker benefit.
And
it can be.
But
it also creates another question:
If
technology eliminates enough administrative and monitoring work, does the store
need the same number of employees?
That
is the uncomfortable conversation.
6. Grocery-Service Deli Workers Are Not Immune
The
grocery-service deli may actually be one of the most fascinating parts of the
Grocerant Niche.
Why?
Because
it combines:
Retail
+ Restaurant + Prepared Food + Grab-and-Go.
In
2024, Fresh Thyme expanded its partnership with Afresh to bring AI-driven
ordering and inventory management into deli and prepared-food departments. The
technology provided inventory recommendations and automated ordering
capabilities.
That
means AI isn't merely deciding what somebody should buy.
It
can increasingly help decide:
How
much food should the deli prepare?
That
is huge.
A
deli manager historically depended upon experience:
"We
sold 42 rotisserie chickens yesterday. It's Friday. Let's make more."
AI
can analyze sales patterns, weather, day of week, promotions, inventory, waste
and other variables.
The
objective isn't necessarily to eliminate the deli employee.
It
is to eliminate guesswork.
But
again, there is a labor implication.
If
better forecasting means fewer mistakes, less waste and more accurate
production, the operator may eventually need fewer labor hours.
And
the deli employee who once spent hours counting, recording and adjusting
inventory may find that AI has already done the work.
7. The Prepackaged Meal Is Another Labor Equation
Now
take this one step further.
The
consumer wants:
Dinner.
They
don't necessarily care whether that dinner was cooked in a restaurant, grocery
deli, C-store kitchen, commissary or food manufacturing facility.
That
is the heart of the Grocerant Niche.
Consumers
increasingly think in terms of food occasions, not traditional industry silos.
A
prepackaged ready-to-eat meal can eliminate several labor steps.
There
is no server.
There
may be no cook at the point of purchase.
There
may be no cashier.
There
may be no dining room.
The
consumer:
Picks
it up → Pays digitally → Takes it home → Eats.
That
is convenience.
But
it is also labor compression.
The
industry is moving from:
More
employees touching the food
toward:
More
technology coordinating fewer human touches.
8. And What About the Unit Manager?
This
may be the most overlooked part of the AI discussion.
The
unit manager is already expected to be:
·
Recruiter.
·
Scheduler.
·
Food-safety manager.
·
Inventory manager.
·
Customer-service manager.
·
Labor-cost manager.
·
Sales manager.
·
Trainer.
·
Problem solver.
·
Technology troubleshooter.
AI
can potentially help with every one.
The
National Restaurant Association's 2026 research found that about 26% of
restaurant operators were using AI tools, with applications including
marketing, administrative tasks, menu optimization, employee scheduling,
customer ordering, inventory management and reservations. Most importantly, 94%
of operators reported that their technology investments over the previous two
to three years had not resulted in permanent job elimination.
That
is an important reality check.
The
AI apocalypse hasn't arrived.
But
the operating model is changing.
And
the same 2026 research shows where the transformation is heading.
Technology
is not just being aimed at the cashier.
It
is moving into:
Scheduling.
Ordering. Inventory. Marketing. Hiring. Production. Food safety. Delivery.
The
unit manager is increasingly becoming a technology-enabled manager.
The Real Fear May Not Be "AI Will Take My Job"
The
bigger fear may be:
"AI
will take pieces of my job until there isn't enough of my old job left."
That
is different.
A
restaurant employee might not lose his or her job to a robot.
Instead,
one robot may eliminate the need for one employee during the lunch rush.
AI
scheduling may eliminate two hours of administrative work.
Automated
ordering may eliminate phone coverage.
A
robotic makeline may eliminate repetitive assembly.
Digital
payments may reduce cashier transactions.
Delivery
robots may reduce delivery labor.
Prepackaged
meals may reduce production labor.
Individually,
each change seems small.
Collectively,
they can fundamentally change the labor model.
Foodservice Operators Have a Responsibility
Technology
is not inherently good or bad.
The
question is how it is deployed.
NACS
reported in 2026 that frontline employees need to understand how AI works and
that retailers need to prepare their people—not simply drop technology on them.
That
may be the most important lesson.
Don't
implement AI to replace people. Implement AI to make people better—then be
honest about what happens next.
Because
eventually, some jobs will disappear.
That
has happened every time foodservice technology has advanced.
The
question is whether the industry creates better jobs, better training and
better customer experiences as it eliminates repetitive tasks.
The Grocerant Niche Changes the Conversation
This
is where I believe the Grocerant Niche provides an important lens.
The
consumer doesn't care whether the meal came from:
Restaurant
+ Grocery + C-store + Delivery + Ghost Kitchen + Prepared Foods.
The
consumer cares about:
PRICE
+ QUALITY + SERVICE + CONVENIENCE.
Technology
can improve all four.
But
technology cannot completely replace the human experience.
A
machine can assemble a bowl.
AI
can answer a telephone.
A
robot can deliver a meal.
A
camera can monitor inventory.
A
computer can predict tomorrow's demand.
But
someone still has to care whether the food is good.
Someone
has to notice the customer who needs help.
Someone
has to fix the equipment.
Someone
has to solve the problem when the AI gets it wrong.
And
someone has to take responsibility.
That
is why I don't believe the future of foodservice is human versus machine.
I
believe it is:
Human
+ Machine.
But—and
this is the big but—the human workforce of 2030 will not look like the
workforce of 2020.
Three Insights From the Grocerant Guru®
1.
AI will not kill foodservice—but it will kill repetitive foodservice work.
Cashiering,
phone ordering, inventory counting, scheduling, temperature logging, food
assembly and delivery are all increasingly becoming technology-assisted or
automated. Operators should prepare workers for the jobs that remain rather
than pretending the old jobs will remain unchanged.
2.
The unit manager may become the most important human in the AI-enabled
foodservice operation.
The
winning manager will not compete with AI. The winning manager will know when to
use it, when to question it and when to override it. AI can analyze the
business; the manager still has to run the business.
3.
FOOD still comes first.
The
foodservice industry can automate the transaction, the kitchen, the delivery
and even the checkout—but consumers still have to want the food.
That
brings me back to one of the fundamental principles of the Grocerant Niche:
FOOD
First. Location Second. Service Always.
AI
can make foodservice faster.
AI
can make foodservice more efficient.
AI
can reduce labor costs.
But
AI cannot make mediocre food magically delicious.
The
future belongs to foodservice operators that use technology to remove friction
while using people to create relevance.
The
foodservice industry is dynamic—not static.
The
question isn't whether AI is coming.
It
already arrived.
The
question is:
Are
foodservice workers, unit managers and operators ready to evolve with it?
Are you ready for some fresh
ideations? Do your food marketing ideas look more like yesterday than tomorrow?
Interested in learning how our Grocerant Guru® can edify your retail food brand
while creating a platform for consumer convenient meal participation,
differentiation and individualization?
Email us at: Steve@FoodserviceSolutions.us
or visit: us on our social media sites.
