As artificial intelligence continues to reshape workplaces around the world, many workers are wondering whether their jobs could eventually be automated.
A new study from IT Asset Management Group (IT-AMG) took an unconventional approach to finding out. Researchers asked Google’s Gemini 3.5 Flash model to identify the 10 jobs it believes are most likely to be replaced by AI and explain why.
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The ranking comes as debate over AI’s impact on employment continues. Billionaire entrepreneur Jeff Bezos said he believes artificial intelligence will ultimately create more jobs than it eliminates.
According to Gemini, these are the occupations most vulnerable to automation:
- Data entry clerks – AI said these jobs involve repetitive tasks, such as transferring text and numbers between documents and databases, making them relatively easy to automate.
- Telemarketers – AI-generated voices and automated calling systems can follow scripts while operating at lower costs than human teams.
- Tier 1 customer service representatives – Large language models can answer common customer questions and sort support requests using company knowledge bases.
- Bookkeepers – Routine tasks, including reconciling ledgers and organizing expenses, are increasingly being handled by automation software.
- Proofreaders – Grammar and editing tools can quickly identify spelling, punctuation and style issues, reducing the need for manual proofreading in some cases.
- Paralegals (document review) – AI can rapidly scan contracts, legal filings and case documents, helping reduce the amount of manual review required.
- Commodity content writers – Basic blog posts, product descriptions and advertising copy can often be generated quickly with AI tools.
- Market research analysts – AI can collect data, analyze customer sentiment and summarize findings, while humans continue making strategic decisions.
- Retail cashiers – Self-checkout systems and mobile payment technology continue to reduce demand for traditional checkout roles.
- Commercial translators – AI language models are becoming more accurate at translating business and technical documents, although human editors are still often needed for quality control.
Richy George, chief revenue officer at IT-AMG, said the findings suggest that jobs centered on repetitive information processing may face the greatest disruption.
“What’s interesting is how fast the middle layer of corporate data management is shrinking,” George said. “Data entry ranking top shows that pure information transfer may no longer be a viable human career path.”