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Artificial intelligence is transforming the job market at an incredible pace, automating tasks that once seemed impossible for machines to handle.
While AI brings efficiency and innovation, it also raises concerns about job security in many industries. Naturally, plenty of people who previously felt secure are starting to question what the future may look like for them, their jobs and their careers more broadly.
Of course, some roles are more vulnerable than others, particularly those involving repetitive tasks, data analysis or even creative work.
From accountants and radiologists to copywriters and customer service representatives, AI is reshaping the way these professions operate – sometimes replacing workers entirely.
What Does It Mean For a Job to Be “At Risk From AI”?Â
When we say a job is “at risk” from AI, it doesn’t always mean total elimination – often, it signals a major shift in how the role is performed.
Of course, some jobs may very well disappear entirely, but in addition to this, many will evolve, with AI taking over repetitive tasks and leaving humans to focus on more complex, creative or interpersonal aspects.
For example, accountants may rely on AI for data entry and number crunching but still be needed for strategic decision-making. In other cases, AI could drastically reduce job demand, making positions harder to find.
Ultimately, it seems like rather than wiping out entire professions overnight, AI is more likely to reshape industries, requiring workers to adapt by learning new skills. The real challenge lies in how quickly businesses and employees adjust to these changes. Indeed, for some, AI will be a tool that enhances their job; for others, it may force a complete career transition.
Top 10 Jobs Most At Risk From AI
Bookkeepers and Accountants
AI-powered accounting software can now handle tasks like data entry, tax calculations, invoicing and financial reporting with minimal human input. More than that, they’re statistically better at it than people are, because there’s no room for human error.
Automation tools like QuickBooks and Xero are streamlining bookkeeping processes, reducing the need for manual work.
While accountants will still be needed for complex financial planning and decision-making, many routine bookkeeping roles are becoming obsolete.
AI can process large amounts of financial data faster and more accurately than humans, meaning businesses can cut costs by relying on software rather than hiring full-time bookkeepers. Those in the field may need to upskill and focus on advisory or analytical roles.
Radiologists and Diagnostic Technicians
Medical imaging tools powered by AI are rapidly advancing, enabling machines to detect abnormalities in X-rays, MRIs and CT scans with remarkable accuracy.
Algorithms trained on vast datasets can identify diseases like cancer more quickly and consistently than human radiologists.
Now, while AI is unlikely to replace radiologists entirely, it will significantly alter their role. Instead of spending hours analysing scans, radiologists may oversee AI-driven diagnostics and focus on complex cases.
The demand for routine image interpretation may decline, making it essential for professionals in this field to adapt by specialising in areas that require human judgment and expertise.
Data Entry and Processing
AI and machine learning have revolutionised data entry by automating tasks such as form filling, document scanning and database management. Optical character recognition (OCR) and natural language processing (NLP) enable software to extract, process and categorise data with high accuracy, reducing the need for human input.
Businesses increasingly use AI to manage and analyse large datasets efficiently, minimising human error and improving productivity. As automation continues to advance, traditional data entry roles are rapidly disappearing.
Those in the field may need to transition to data analysis, quality control or other areas where human oversight is still essential.
More from Artificial Intelligence
Software Engineers
While it might seem surprising, even software engineers are at risk from AI advancements. Tools like GitHub Copilot and ChatGPT’s code generation capabilities can write, debug and optimise code with minimal human involvement. AI can rapidly develop applications, automate testing and streamline software maintenance.
Having said that, however, AI is unlikely to fully replace software engineers, as creativity, problem-solving and deep technical understanding remain critical.
Instead, the role may shift towards overseeing AI-generated code, refining algorithms and focusing on high-level system architecture. Engineers who embrace AI as a tool rather than a threat will be better positioned for the future.
Copywriters
AI-powered content generators like ChatGPT, Gemini, Meta AI, DeepSeek and more can produce articles, product descriptions and marketing copy at scale, reducing the demand for human writers.
These tools analyse vast amounts of data to generate relevant, well-structured content in seconds. But, while AI can handle basic writing tasks, it often lacks creativity, emotional depth, and originality. Copywriters who rely on generic, formulaic writing may struggle, but those who focus on storytelling, brand voice and nuanced messaging will remain valuable.
Thus, the general feeling is that he future of copywriting will likely involve a blend of human creativity and AI efficiency, with writers adapting to work alongside AI tools. And, while AI might eradicate the jobs of lower-quality copywriters, those producing high-quality content should still be safe – there jobs will just be changing.
Customer Service RepresentativesÂ
AI-driven chatbots and virtual assistants are transforming customer service by handling inquiries, processing requests and troubleshooting common issues.
Businesses use AI to provide 24/7 support, reducing costs and response times. While human representatives are still needed for complex customer interactions, the demand for entry-level customer service roles is declining.
Nowadays, AI can handle a significant portion of customer queries, meaning fewer humans are required for repetitive tasks. To stay relevant, customer service professionals may need to develop skills in relationship management, conflict resolution and handling intricate cases that AI struggles to manage effectively.
Travel Agents
With the rise of AI-powered booking platforms and recommendation engines, traditional travel agents have become less essential. Websites like Expedia, Skyscanner and Google Flights allow travellers to compare flights, hotels and activities instantly.
AI-driven chatbots can now offer personalised travel suggestions based on user preferences, eliminating the need for human intervention. While high-end or niche travel agencies may still thrive, many standard travel agent roles have already disappeared.
To remain competitive, professionals in this field may need to specialise in luxury travel, bespoke experiences or areas where human expertise and personalised service still provide added value.
Manufacturing and Assembly Line Workers
Automation and AI-driven robotics have been replacing factory workers for years. Machines can assemble products faster, more accurately and without the need for breaks or wages. Industries like automotive manufacturing, electronics and packaging are increasingly reliant on AI-powered robots to handle repetitive tasks.
While some human oversight is still necessary, the number of available jobs is shrinking. Those in manufacturing may need to upskill in areas like robotics maintenance, quality control or process supervision to remain relevant.
The shift towards automation means fewer manual roles but new opportunities in managing and optimising AI-driven systems.
Retail Salespeople
AI and automation are reshaping the retail industry, with self-checkout systems, online shopping platforms and AI-driven recommendation engines reducing the need for in-store sales staff. Chatbots and virtual shopping assistants can now handle customer inquiries, suggest products and even process transactions.
Many consumers prefer the convenience of online shopping, further decreasing demand for traditional retail workers. While human salespeople still play a role in high-end or specialised retail, many basic sales positions are disappearing.
Those in the industry may need to shift towards roles that require personal expertise, such as luxury sales, personal shopping or customer engagement.
Proofreaders and Translators
AI-driven tools like Grammarly and DeepL have made proofreading and translation more efficient, reducing the need for human professionals. AI can correct grammar, improve sentence structure, and translate text between languages with impressive accuracy.
While human proofreaders and translators are still necessary for nuanced language use, creative writing, and industry-specific translations, the demand for basic proofreading and translation services is decreasing.
Those in this field may need to specialise in complex content, such as legal or medical translations, where AI struggles to capture context and tone accurately. The key to survival is focusing on areas where human expertise is irreplaceable.