What jobs are most at risk from AI?

 

Jobs Most at Risk from AI

 

Roles are most vulnerable when the work is routine, rules based, highly repetitive, and relies on digital information more than physical presence or relationship building. Risk rises when tasks can be standardized, measured, and checked using existing data.

• Administrative and clerical support such as data entry, scheduling, basic bookkeeping, invoice processing, and form handling, because AI can read, sort, and file information quickly.
• Customer support for simple issues such as password resets, order status, refunds, and FAQs, where chatbots and voice agents can handle high volume with scripts and knowledge bases.
• Basic content production such as templated marketing copy, product descriptions, simple SEO articles, and social posts, especially when the goal is quantity and consistency over original insight.
• Transcription and routine translation for clear audio and common language pairs, since speech to text and machine translation perform well on predictable material.
• Paralegal and compliance support tasks like document review, contract clause extraction, due diligence checklists, and policy summarization, where pattern search and summarization reduce manual hours.
• Finance operations and entry level analysis such as expense categorization, reconciliations, fraud flagging, and standard reporting, where rules and historical patterns drive decisions.
• Junior coding and QA for repetitive work such as boilerplate code, test generation, bug triage, and documentation, especially in well defined systems.
• Routine design and media editing such as resizing assets, background removal, template based layouts, and first pass image or video edits.
• Some sales development tasks like lead list enrichment, outreach drafts, and follow ups, where personalization can be automated using CRM data.

 

Lower Risk, Even With Heavy AI Use

 

Jobs are generally safer when they require hands on work, complex judgment, accountability, or deep human trust, including trades, healthcare delivery, leadership, negotiation, and roles centered on ambiguous problems and real world constraints.