Harvard Business School research on Enhance or Eliminate? How AI Will Likely Change These Jobs examines how generative AI is reshaping employment. The study finds that job postings for structured and repetitive roles declined 13% after ChatGPT’s launch, while demand for analytical, technical and creative roles grew 20%, highlighting the growing importance of human-AI collaboration.
Background & Job Description
Generative AI is beginning to reshape the labour market, but its impact varies significantly across occupations.
Research featured by Harvard Business School’s Working Knowledge, based on a working paper coauthored by HBS Professor Suraj Srinivasan, examines whether generative AI is more likely to eliminate jobs or enhance the work people already perform. The research analysed job postings from 2019 through March 2025 using a dataset covering nearly all U.S. vacancies. Harvard Business School Working Knowledge research
The findings point toward a labour market increasingly divided between occupations that are vulnerable to automation and those where AI can complement human expertise.
Following the public launch of ChatGPT in November 2022, job postings for occupations involving substantial structured and repetitive tasks declined by 13%. In contrast, employer demand for jobs requiring more analytical, technical or creative work increased by 20%.
Rather than simply eliminating employment, the research suggests that generative AI can create new demand for roles where humans and AI work together.
Tasks
The research distinguishes between occupations based on whether AI is likely to automate their tasks or augment human capabilities.
Automation-prone work
Jobs with highly structured and repetitive tasks are more exposed to potential automation. These occupations have experienced reductions in both the number of skills requested and the diversity of skills appearing in job advertisements.
The researchers found 7% fewer skills being requested in roles prone to automation.
Workers in these occupations may increasingly need to develop capabilities that are less easily automated, including:
- Judgement
- Interpersonal communication
- Problem-solving
- Human interaction
- Other non-automatable skills
Augmentation-prone work
AI can also enhance occupations where only some tasks can be automated while other responsibilities continue to require human involvement.
Examples identified in the research include:
- Microbiologists
- Financial analysts
- Clinical neuropsychologists
In finance, for example, AI-powered tools can help investment managers and analysts process and evaluate large amounts of market data. However, human judgement and decision-making remain important.
The research therefore suggests that AI may change what workers do without necessarily removing the occupation itself.
Qualifications
Education and Certification
The research does not establish formal educational qualifications or certification requirements because it is an analysis of labour-market trends rather than a specific employment programme.
However, it highlights several capabilities that may become increasingly valuable as AI adoption grows.
These include:
- AI literacy
- Human-AI collaboration
- Domain-specific AI applications
- Analytical skills
- Technical skills
- Creative skills
- Judgement
- Interpersonal communication
The researchers also observed increasing demand for AI-related skills, including prompt writing and the use of AI tools, particularly in occupations with high augmentation potential.
Experience
Experience with AI-enabled workflows may become increasingly valuable in occupations where technology complements rather than replaces workers.
The research indicates that employers are beginning to seek workers who can integrate AI tools into existing professional responsibilities.
This does not necessarily mean that every worker needs to become an AI specialist. Instead, professionals may need to understand how AI can be applied within their particular field while continuing to provide the human expertise required for decision-making and collaboration.
Additional Information
Which Jobs Are Most at Risk?
The research indicates that occupations dominated by structured and repetitive activities face greater exposure to generative AI automation.
The decline in job postings for these roles after ChatGPT’s launch provides an early indication of how employers may be responding to advances in generative AI.
The largest reductions identified by the researchers occurred in the finance and technology sectors.
However, the research focuses on the short-term impact of generative AI in the U.S. labour market. The authors note that the longer-term effects and implications for other regions remain uncertain as adoption continues to expand.
Which Jobs Could Benefit From AI?
Occupations requiring analytical, technical and creative capabilities appear better positioned for AI augmentation.
These roles can combine AI’s ability to process information and automate certain tasks with human capabilities that remain important for professional judgement and decision-making.
This creates the possibility of human-AI collaboration becoming a central feature of many professional occupations.
AI Skills Are Becoming More Important
One of the clearest findings is the emergence of AI-related skills in job postings for augmentation-prone occupations.
Employers are increasingly seeking capabilities associated with:
- AI tools
- Prompt writing
- Human-AI collaboration
- AI applications within specific industries
- Technical and analytical expertise
At the same time, the researchers found that the skills required for automation-prone occupations are becoming less diverse.
This suggests that workers whose jobs are being transformed by AI may need to deliberately expand their skill sets rather than relying exclusively on their existing responsibilities.
What Employers Should Do
The research recommends that companies take a proactive approach to workforce transformation.
Invest in reskilling. Workers in automation-prone occupations may need support transitioning into roles that make greater use of human capabilities that AI cannot easily replicate.
Provide continuous AI upskilling. Employees in augmentation-prone occupations can benefit from learning how to use emerging AI tools effectively.
Develop human-AI collaboration. Companies should view generative AI as a tool that can enhance employee capabilities rather than simply as a mechanism for reducing labour costs.
Build domain-specific AI expertise. Understanding how AI applies to a particular profession or industry can help workers use technology more effectively while retaining the human expertise required for complex tasks.
The Bigger Picture
The Harvard Business School research presents a more nuanced view of AI and employment than a simple prediction that artificial intelligence will eliminate large numbers of jobs.
Some roles are experiencing declining demand as AI takes over portions of structured and repetitive work. At the same time, other occupations are becoming more valuable as AI allows workers to perform analytical, technical and creative activities more effectively.
The key distinction is therefore automation versus augmentation.
For workers, the findings reinforce the importance of developing skills that complement AI rather than compete directly with its capabilities. For employers, the research suggests that workforce training and reskilling will be critical as job requirements continue to evolve.
Ultimately, the study indicates that the future of work may depend less on whether AI replaces humans and more on how effectively humans and AI can work together.
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