The future of work is clear. There are many jobs AI will replace. In fact, it’s already happening. Today, artificial intelligence (AI) is a driving force behind how companies operate, how customers interact with brands, and how work gets done across virtually every industry.
Just this month, Microsoft issued a mandate for employees’ use of AI. Managers are now required to evaluate employees in performance reviews based on how much they use AI in their jobs. Formal metrics will be set to track AI use as it correlates to job performance in the review process.
Microsoft isn’t alone. AI is being integrated into many jobs, and now, it’s becoming clear which jobs AI will replace in the near future. As AI and the technology used to integrate it into employees’ work becomes more accessible and reliable, it’s reshaping the job market in far-reaching ways.
However, the story isn’t just about jobs AI will replace. It’s also about what AI will bring to the future of work. Some roles are evolving, others are vanishing, and new opportunities are emerging for employees who are ready to adapt, upskill, and lead.
Why Women in Business Need to Pay Attention to Jobs AI will Replace
Recent research shows women are disproportionately represented in jobs AI will replace, such as administration, customer service, and retail. In the U.S., nearly 80% of women hold roles at high risk of being replaced by automation and AI, compared to 58% of men according to a study by Goldman Sachs.
As companies embrace AI and automation, businesswomen must be proactive in safeguarding their careers and seizing opportunities in the evolving landscape.
10 Jobs AI will Replace in 2025
According to LiveCareer, following are 10 jobs AI will replace in 2025.
1. Data Entry Clerks
Transferring information from one system to another is a repetitive, rule-based task that is ideal for AI. Machine learning and optical character recognition (OCR) can now extract and organize data with speed and accuracy, dramatically reducing the need for manual input.
As a result, automated data pipelines are slashing labor costs and minimizing errors. While some nuanced data work still needs human oversight, traditional data entry jobs are rapidly disappearing.
What Should Data Entry Clerks Do?
Pivot to data analysis or data management. Strengthen your skills in Excel, SQL, or Python – fields where demand is rising as companies need professionals to interpret and leverage data-driven insights.
2. Telemarketers
Sales calls often follow scripts, making them easy for AI-powered voice tools to handle. These systems can mimic human conversation, answer basic questions, and adapt responses based on customer input.
Already, automated dialers handle thousands of calls each day, which frees up human telemarketers for more complex, high-value interactions that require empathy and intuition.
What Should Telemarketers Do?
Consider transitioning into digital marketing, customer success, or consultative sales roles that emphasize relationship-building and strategic thinking. Upskill in CRM tools and social media engagement.
3. Customer Service Representatives (Basic Support)
Routine customer queries, like password resets or order tracking, are easily automated. AI chatbots and virtual assistants can resolve these issues quickly, often without customers realizing they’re not speaking to a person.
AI-powered chatbots offer 24/7 support, reduce wait times, and allow human agents to focus on more complicated, nuanced cases.
What Should Customer Service Representatives Do?
Move toward specialized customer success roles, technical support, or client training where expertise and empathy are essential. Deepen your troubleshooting and industry-specific knowledge.
4. Retail Cashiers
Checkout is a predictable, repetitive process. Self-checkout kiosks, mobile payment apps, and AI-driven surveillance are replacing traditional cashier roles.
New retail formats, like Amazon Go, let customers shop and leave without interacting with a cashier at all. AI handles the entire transaction seamlessly and faster.
What Should Retail Cashiers Do?
Explore retail management, customer experience, or logistics. Consider roles in technology implementation or supply chain management within retail.
5. Proofreaders and Copy Editors
AI tools are capable of catching grammar, punctuation, and even tone inconsistencies. Advanced platforms offer suggestions that rival human editors for basic proofreading tasks at a much lower cost for companies.
Writers increasingly rely on AI-driven tools to streamline editing. While high-level creative direction still requires a human touch, routine editing is quickly automated.
What Should Proofreaders and Copy Editors Do?
Shift to content strategy, creative direction, or digital communications. Build expertise in SEO, content marketing, and digital publishing.
6. Paralegals and Legal Assistants
Reviewing case files, organizing evidence, and researching precedents are data-heavy, logical tasks that AI excels at.
AI tools now review contracts, flag risks, and assist with legal research, allowing lawyers to focus on complex analysis and client strategy while reducing headcount.
What Should Paralegals and Legal Assistants Do?
Move into legal technology, compliance, or project management. Combine your legal background with tech skills to insulate yourself from automation.
7. Bookkeepers
Bookkeeping is highly repetitive and rule-based. Modern accounting software powered by AI can track transactions, generate invoices, and even offer tax insights.
As a result, traditional bookkeeping is shifting toward oversight and advisory roles, where human expertise guides complex financial decisions.
What Should Bookkeepers Do?
Upskill in financial analysis, auditing, or consulting. Learn financial modeling and data analysis to add strategic value for your clients.
8. Fast Food and Restaurant Workers (Frontline Roles)
Tasks like order-taking, food prep, and cleaning are predictable and easy to automate. Robots and AI-driven systems are already in use at major chains.
In addition, robotic cooks, AI-powered drive-throughs, and automated cleaning systems are reducing the need for frontline staff.
What Should Frontline Fast Food and Restaurant Workers Do?
Consider managerial, creative, or tech-focused roles in hospitality such as culinary innovation, restaurant management, or food service technology.
9. Warehouse Workers
Picking, packing, and inventory tracking are routine tasks ideal for robots and AI. Major retailers now use automated systems to manage warehouses with minimal human intervention.
Human roles are shifting to equipment maintenance, logistics coordination, and oversight of automated systems.
What Should Warehouse Workers Do?
Develop skills in logistics, supply chain analysis, or robotics. Understanding automation systems is increasingly valuable.
10. Market Research Analysts (Entry-Level)
Collecting data, spotting trends, and preparing reports are data-driven tasks that AI can perform efficiently.
AI-powered analytics platforms generate insights and reports in minutes, shifting human roles toward interpretation and strategy.
What Should Market Research Analysts Do?
Focus on data visualization, storytelling, and strategic analysis. Learn tools like Tableau, Power BI, or Python for advanced analytics.
The Rise of New, AI-Connected Careers
While AI is automating repetitive work, it’s also creating entirely new roles. Emerging opportunities include:
- AI trainers and prompt engineers
- AI ethicists and oversight specialists
- Human-AI collaboration managers
- Data quality supervisors
- Creative strategists harnessing AI tools
These jobs blend technical expertise with human creativity, empathy, and judgment – skills AI can’t replace.
The Big Picture: AI’s Impact on Women and the Workforce
When looking at jobs AI will replace, research shows women are especially vulnerable to displacement in roles like administration, customer service, and retail:
How Businesswomen Can Protect Their Careers and Income from Jobs AI will Replace
Women at risk of being impacted by the jobs AI will replace have the chance to move into higher-skilled, better-paid positions if they can invest in upskilling and digital literacy.
- Invest in Continuous Learning: Upskill in digital tools, data analysis, coding, and AI literacy. Seek out training programs, certifications, and mentorship to stay ahead.
- Emphasize Human Skills: Develop strengths in creativity, emotional intelligence, problem-solving, and leadership, which are qualities AI can’t replace.
- Leverage Networking and Community: Engage with professional groups, attend industry events, and seek out mentors to stay informed about trends and opportunities.
- Pursue Strategic and Advisory Roles: Move toward positions that require judgment, strategy, and a human touch, such as management, consulting, or client relations.
- Advocate for Inclusive AI: Encourage organizations to prioritize upskilling, fair hiring, and diverse leadership in AI development to ensure women aren’t left behind.
- Prioritize Well-being and Adaptability: Build resilience through self-care, adaptability, and a growth mindset to navigate change confidently.
What Jobs Are Safe from AI?
AI is powerful, but many high paying, AI-resistant jobs are available, even if you don’t have a college degree. That’s because there are skills that AI can’t fully replace, such as:
- Creativity and innovation
- Complex decision-making
- Empathy and emotional intelligence
- Direct human interaction (e.g., therapists, healthcare workers, educators)
- Leadership and ethical judgment
These are the areas where women can continue to excel and where investing in your unique talents will lead to the best results.
Final Thoughts on Jobs AI will Replace
AI is transforming the job market, but it’s not just about loss. It’s about evolution, and you can’t fight evolution. For businesswomen, the key is to adapt, upskill, and seize new opportunities in order to insulate you from the threat to jobs AI will replace.
By focusing on lifelong learning, cultivating human-centric skills, and advocating for inclusive digital transformation, you’ll not only protect your career and income but also lead the way in the future of work.
