The Indeed Hiring Lab conducted an assessment of GPT-4o, a generative AI model by OpenAI, evaluating its capability to perform over 2,800 job skills. The analysis revealed that no skill was deemed “very likely” to be replaced by the technology, with 68.7% of skills categorized as “very unlikely” or “unlikely” for replacement. While GenAI excels in providing theoretical knowledge, it struggles with problem-solving and physical execution, which are critical for many occupations. As generative AI evolves, its impact on the workforce will depend on significant advancements in both the technology itself and the norms of workplaces. Overall, human skills are likely to remain irreplaceable for the foreseeable future, though those who effectively utilize GenAI may gain a competitive edge.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| GenAI’s potential in job skill replacement | From limited potential to cautious optimism | Enhanced integration of GenAI in workforce | Need for increased productivity amidst skill gaps |
| Majority of skills unlikely to be replaced | From high human reliance to moderate GenAI assistance | Mixed role of humans and AI in job tasks | Efficiency demands in rapidly evolving job markets |
| Struggle of GenAI in hands-on tasks | From theoretical knowledge to practical execution | Balance of human skill and GenAI knowledge | Hybrid work environment requiring manual skills |
| High ranking for theoretical knowledge | From knowledge support to task execution | Expanded use of AI as co-workers | Demand for continuous learning and upskilling |
| Manual execution still essential | From full automation to human oversight | Clear differentiation of digital and manual roles | Importance of human interaction in many fields |
| Future job roles depend on adaptability | From static skill sets to dynamic learning | Continuous evolution of job roles | Need for agility in learning and technology use |
| Varied impact across occupations | From uniform AI adoption to sector-specific applications | Specialized tools for specific industries | Business-specific efficiency and effectiveness |
| Ongoing need for human oversight | From reliance on AI to collaborative models | Collaboration between humans and GenAI | Maintain quality and ethics in automated outputs |
| Importance of upskilling for workers | From static expertise to continuous growth | Lifelong learning becomes standard practice | Adaptation to technological advancements |
| Transformation of workplace roles and skills | From traditional roles to enhanced tech integration | New job definitions arising | Accelerated digitization in the workforce |