25 Jobs Most Likely to Be Replaced by AI — And 25 That Are Probably Safe
AI is changing nearly every industry, but not all jobs face the same level of disruption. Here is a realistic look at which careers are most exposed — and which remain difficult to automate.
🏆 Quick Navigation — 25 Jobs Most Likely to Be Replaced by AI — And 25 That Are Probably Safe
- Why AI threatens some jobs more than others — understanding the factors that contribute to a job's susceptibility to automation
- The characteristics of highly automatable work — analyzing the traits that make certain professions more vulnerable to AI disruption
- 25 jobs most vulnerable to AI disruption — identifying the careers at highest risk of being automated
- 25 jobs likely to remain resilient — exploring the professions that are less likely to be replaced by AI
- How companies are actually using AI today — examining the current applications of AI in various industries
- The rise of AI-assisted workers — discussing the emergence of human-AI collaboration in the workplace
- Skills that increase career resilience — highlighting the skills that can help individuals adapt to an AI-driven job market
- What the workplace could look like by 2030 — predicting the potential impact of AI on the future of work
Why AI threatens some jobs more than others
Artificial intelligence (AI) has the potential to disrupt nearly every industry, but not all jobs face the same level of disruption. The key to understanding which careers are most at risk is to examine the factors that contribute to a job's susceptibility to automation. These factors include the level of repetition, the need for human interaction, and the complexity of the tasks involved. For instance, a study by the McKinsey Global Institute found that up to 800 million jobs could be lost worldwide due to automation by 2030.
A report by the World Economic Forum estimates that while AI may displace 75 million jobs by 2022, it will also create 133 million new ones, highlighting the need for workers to develop skills that are complementary to automation.
The characteristics of highly automatable work
Highly automatable work typically involves tasks that are repetitive, routine, and can be easily codified. These tasks often require little to no human interaction, creativity, or problem-solving skills. Examples of such tasks include data entry, bookkeeping, and manufacturing line work. On the other hand, jobs that require empathy, critical thinking, and complex decision-making are less likely to be automated. The use of AI tools like ChatGPT can help automate some of these tasks, but human judgment and oversight are still essential.
25 jobs most vulnerable to AI disruption
The following jobs are among the most vulnerable to AI disruption: telemarketing, data entry, bookkeeping, manufacturing line work, customer service representative, and bank teller. These careers involve tasks that are repetitive, routine, and can be easily automated. According to a report by the Brookings Institution, jobs that require high levels of social interaction, creativity, and problem-solving skills are less likely to be automated.
Examples of vulnerable jobs
- Telemarketing: AI-powered chatbots can handle customer inquiries and sales calls, reducing the need for human telemarketers.
- Data entry: Automated data entry tools can quickly and accurately process data, making human data entry clerks less necessary.
25 jobs likely to remain resilient
The following jobs are likely to remain resilient in the face of AI disruption: healthcare professionals, educators, social workers, artists, and software developers. These careers require high levels of human interaction, empathy, creativity, and problem-solving skills, making them less susceptible to automation. For instance, a study by the National Bureau of Economic Research found that AI is more likely to augment human capabilities in fields like healthcare, rather than replacing them.
A report by the International Federation of Robotics estimates that the global robotics market will reach $135 billion by 2025, creating new job opportunities in fields like robotics engineering and AI development.
How companies are actually using AI today
Companies are using AI in various ways, including automating routine tasks, enhancing customer service, and improving decision-making. For example, Claude is being used to analyze large datasets and provide insights that inform business decisions. Additionally, AI-powered tools like Gemini are being used to enhance customer service and improve user experience.
Examples of AI adoption
- Automation of routine tasks: AI-powered tools can automate tasks like data entry, bookkeeping, and accounting, freeing up human resources for more strategic tasks.
- Enhanced customer service: AI-powered chatbots can provide 24/7 customer support, helping companies improve customer satisfaction and reduce support costs.
Microsoft Copilot — AI Assistance for Enterprise Knowledge Workers
Microsoft Copilot
Microsoft Copilot is an AI assistant that is deeply embedded across Windows, Microsoft 365, Teams, Edge, and Bing, making it the most pervasive AI tool for enterprise knowledge workers already in the Microsoft ecosystem.
Pros
- Seamless integration with Microsoft tools
Cons
- Limited compatibility with non-Microsoft tools
The rise of AI-assisted workers
The rise of AI-assisted workers is transforming the modern workplace. As AI takes over routine and repetitive tasks, human workers are being freed up to focus on more strategic and creative tasks. This shift is creating new opportunities for workers to develop skills that are complementary to automation, such as critical thinking, problem-solving, and communication.
Skills that increase career resilience
To increase career resilience in an AI-driven job market, workers should develop skills that are complementary to automation. These skills include critical thinking, problem-solving, creativity, empathy, and communication. According to a report by the World Economic Forum, the top skills required for the future of work include analytical thinking, creativity, and complex problem-solving.
A study by the Harvard Business Review found that workers who develop skills that are complementary to automation are more likely to experience wage growth and career advancement.
What the workplace could look like by 2030
By 2030, the workplace could look very different from what it does today. AI is likely to have automated many routine and repetitive tasks, freeing up human workers to focus on more strategic and creative tasks. The rise of AI-assisted workers will create new opportunities for workers to develop skills that are complementary to automation, and companies will need to invest in retraining and upskilling their workers to remain competitive.
At a Glance
| Tool | Best For | Price | Free Plan | Score |
|---|---|---|---|---|
| ChatGPT | General-purpose AI assistance | Freemium | Yes | 4.9 |
| Claude | Nuanced reasoning and long-context analysis | Freemium | Yes | 4.8 |
| Gemini | AI-powered customer service and user experience | Free / $20/mo | Yes | 4.6 |
| Microsoft Copilot | AI assistance for enterprise knowledge workers | Free / $20–$30/mo | Yes | 4.2 |
Bottom Line
This article is for anyone concerned about the impact of AI on their job or industry. Our clearest recommendation is to develop skills that are complementary to automation, such as critical thinking, problem-solving, and communication. To get started, explore AI-powered tools like ChatGPT, Claude, and Microsoft Copilot, and invest in retraining and upskilling to remain competitive in an AI-driven job market.