Stable

Last Update: 2/17/2026

Your role’s AI Resilience Score is

72.9%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low-medium

What does this resilience result mean?

These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.

AI Resilience Report for

Baristas

They make and serve coffee drinks, like lattes and cappuccinos, while ensuring customers have a pleasant experience at the café.

This role is stable

Being a barista is considered an "Evolving" career because while technology is starting to automate some tasks like grinding beans and taking payments, the personal connection and customer service baristas provide are still crucial. Big coffee chains might use robots to help with staffing shortages, but many small cafés still rely on humans for their friendly touch and creativity.

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This role is stable

Being a barista is considered an "Evolving" career because while technology is starting to automate some tasks like grinding beans and taking payments, the personal connection and customer service baristas provide are still crucial. Big coffee chains might use robots to help with staffing shortages, but many small cafés still rely on humans for their friendly touch and creativity.

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Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Stable iconStable

70.6%

70.6%

Anthropic's Economic Index

Stable iconStable

99%

99%

Will Robots Take My Job

Automation Resilience

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Changing fast iconChanging fast

23.6%

23.6%

High Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

6.1%

Growth Percentile:

81.4%

Annual Openings:

904,300

Annual Openings Pct:

99.0%

Analysis of Current AI Resilience

Baristas

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Baristas still do many steps by hand, but some tasks have tech help. For instance, modern coffee kiosks can grind beans and brew drinks automatically. A Shanghai startup’s Cofe+ robot café uses a robotic arm (with built‐in grinders and ice makers) to make a cup in about 50 seconds without any human barista [1].

In practice, shops often use automatic grinders and espresso machines that measure and dose beans (so much of the “weigh, grind” job is done by machines). Likewise, payment handling is mostly automated: nearly every café uses card readers or mobile-pay apps to process bills (so baristas no longer count cash). By contrast, other tasks still depend on people.

Stocking napkins or slicing fruit is usually done by staff (with simple machines, not smart robots). Crucially, personal interactions are hard to automate. O*NET (the U.S. job database) lists “Take customer orders” and “Provide customers with product details” as core barista tasks [2] [2].

Today, some chains use self‐order kiosks or apps, but most local cafés have a barista writing down custom orders. Similarly, while an app can list coffee blends, talking a customer through options still relies on a person. Recent news highlights the gap: AP News showed robot arms serving coffee at a tech expo [3], but also quoted workers worried about losing that personal touch.

In short, machines can brew and serve drinks now, but machines don’t yet replace the friendly customer service and human judgement baristas provide [2] [1].

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AI Adoption

AI in the real world

Will cafés rush to buy robot baristas? It depends on costs and people. On one hand, the technology is becoming available (as at CES 2024 and in places like Shanghai) [1] [3].

Big chains may see AI as a way to cope with labor shortages. For example, a coffee-tech founder at CES said their “autonomous barista bots” are meant to “fill the need” of a tight market, helping where pay is low and staff are scarce [3]. That suggests shops might adopt AI faster if hiring humans is hard.

On the other hand, robots are expensive and customers expect a human touch. Some reports note that robot-barista machines can cost tens of thousands of dollars (far more than a year of one barista’s wages). Small cafés may stick with people because workers are cheaper and more flexible.

There are also social and legal factors: as one union leader noted, workers negotiated safety nets (severance pay and transfers) if tech replaces jobs [3]. In practice, hospitality companies are testing robots cautiously – one official said Las Vegas is “a good place to test these things” and gauge customer reactions [3]. Young workers are hopeful about technology but also nervous (one barista said it’s “very scary” how quickly AI is advancing [3]).

In sum, many barista tasks have tools or robots that can do them, so parts of the job are already augmented by tech. But full replacement is slow. Order-taking and friendly advice – key barista skills – still need humans.

As one expert pointed out, AI in cafés is being used to support staff (filling staffing gaps), not simply fire them [3]. This means baristas’ social skills, creativity, and care remain valuable even as some routine work gets automated.

Sources

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More Career Info

Career: Baristas

Employment & Wage Data

Median Wage

$30,480

Jobs (2024)

3,796,000

Growth (2024-34)

+6.1%

Annual Openings

904,300

Education

No formal educational credential

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

60% ResilienceCore Task

Provide customers with product details, such as coffee blend or preparation descriptions.

2

50% ResilienceCore Task

Take customer orders and convey them to other employees for preparation.

3

45% ResilienceCore Task

Take out garbage.

4

45% ResilienceCore Task

Slice fruits, vegetables, desserts, or meats for use in food service.

5

40% ResilienceCore Task

Prepare or serve hot or cold beverages, such as coffee, espresso drinks, blended coffees, or teas.

6

40% ResilienceCore Task

Set up or restock product displays.

7

35% ResilienceCore Task

Serve prepared foods, such as muffins, biscotti, or bagels.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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