top of page
HCL Review
nexus institue transparent.png
Catalyst Center Transparent.png
Adaptive Lab Transparent.png
Foundations of Leadership
DEIB
Purpose-Driven Workplace
Creating a Dynamic Organizational Culture
Strategic People Management Capstone

These Are The Entry-Level Jobs That AI Will Take Over Soon

  • AI is expected to completely replace data entry jobs, putting 95% of roles at risk and cutting employment by 25% soon.

  • Typists will see the worst job decline in America, as 38% of these positions are projected to disappear over the next 7 years.

  • Manufacturing jobs are to vanish faster than any other work, with 6 out of the top 10 at-risk positions found in factories.


Over 15M Americans currently work in junior positions that could largely disappear within the next decade due to automation. In a new study, the SEO agency Loopex Digital set out to identify which entry-level jobs face the highest risk of being replaced by AI.


The research examined three automation indicators for each occupation: expert assessments of how easily AI can perform the work, government projections for job growth through 2031, and the percentage of workers whose roles require direct human interaction. Jobs were scored on an AI Risk Index from 0 to 100, where higher scores indicate a greater likelihood of automation replacing human workers.


Here's a look at the 10 entry-level jobs disappearing fastest as AI takes over:

Occupation

Projected Growth (by 2031, %)

The Average Risk Level (%)

Risk Estimation by GPT-5 (%)

Physical Interaction (%)

Data Entry Clerk

-25

-25

95

25

Typist

-38

-38

75

20

Metal Patternmaker

-22.2

-22.2

75

25

Shoe Machine Operator

-13.6

-13.6

84

20

Mining Roof Bolter

-32

-32

75

15

Device Assembler

-16.3

-16.3

75

25

Machine Feeder

-12.7

-12.7

84

25

Metal Milling Operator

-12.9

-12.9

84

25

Textile Dye Operator

-10.3

-10.3

84

25

Office Machine Operator

-15.1

-15.1

88

30

You can access the complete research findings here.


Data Entry Keyers rank first as the entry-level job most likely to be replaced by AI. Experts overwhelmingly agree that this role is fully automatable, giving it a 95% risk rating. These workers earn around $38K annually, spending their days inputting information into databases. With only one in four data entry clerks interacting with other people during work, their employment is expected to shrink by 25% through 2031.


Typists come in second with the worst job decline in America. Employment in this field is expected to drop by 38% by 2031. This is because typists are mostly working independently, with only 20% of them interacting with other colleagues for work-related tasks. Like in the case of data entry clerks, experts are almost 100% sure that typists’ jobs will be taken over by AI.


Metal Patternmakers take third place as manufacturing roles face the highest automation risks. These junior workers are currently well-paid (50K), but their numbers will likely fall by 22% over the next seven years. About a quarter of patternmakers work directly with other people, while the rest operate independently. Analysts predict that their tasks are almost guaranteed to be displaced by AI.


Next on the list are Shoe Machine Operators. It is projected that almost 15% of people working in the footwear sector will lose their jobs by 2031. While this is a slower decline compared to other jobs, experts still believe that this independent role will be fully automated eventually, giving it a 96% risk rating.


Roof Bolters in Mining rank fifth despite earning the biggest wages on the list at $67K per year. While their skills are highly valued today, it is believed that a third of roof bolters will lose their jobs in the coming years. These specialists require the least coordination with others and already rely heavily on machinery. The growing reliance on machines makes experts estimate an 80% automation risk for this job.


Timing Device Assemblers also face the danger of being replaced by AI. These jobs are projected to decline by 16% soon. While the decline won’t be as quick as in other cases, experts still agree that the automation is 94% likely. Similar to other at-risk positions, 85% of assemblers work solo, making the job easier to automate.


Machine Feeders and Offbearers come in seventh. These junior workers already earn lower wages ($39K yearly) compared to others, and are going to see their numbers fall further by about 13% in the coming years. They rarely work in teams, and given the rapid automation in industrial settings, experts believe there is a 90% AI replacement likelihood.


Milling and Planing Machine Operators are next as another manufacturing role on the brink of automation. Like machine feeders, milling operators are facing the same 13% job decline in the following 7 years. The automation risks are identical too: operators rarely need to coordinate with others, and the AI replacement probability is more than 90% in their case.


Textile Bleaching and Dyeing Operators take ninth position. Workers in this field earn $35K per year (among the lowest wages), with employment projected to decrease by 10% through 2031. Only a quarter of them work in collaborative settings, which makes experts think there is a 91% chance of machines replacing these professionals in the near future.


Office Machine Operators complete the top ten entry-level jobs at the highest risk of AI replacement. Despite having more human interaction than every other at-risk job, their positions still face a 15% decline by 2031. This downturn is likely to be more gradual than quick, but the experts are still 90% sure that the job will be fully automated.


"We're already seeing layoffs happen across industries as companies look to cut labor costs,” says Vahan Poghosyan, CEO and Co-Founder at Loopex Digital. “AI tools have gotten really good at repetitive tasks, and businesses are adopting them fast. This isn't unusual though. Technology has always eliminated certain jobs while creating new ones. New roles will most likely emerge, the ones that we can't even predict now. Some experts believe that people will need to change professions several times throughout their careers, so staying adaptable could be the most valuable skill now."

 
 

Human Capital Leadership Review

eISSN 2693-9452 (online)

future of work collective transparent.png
Renaissance Project transparent.png

Subscription Form

HCI Academy Logo
Effective Teams in the Workplace
Employee Well being
Fostering Change Agility
Servant Leadership
Strategic Organizational Leadership Capstone
bottom of page