Artificial Intelligence (AI) generally and Generative AI technologies like GPT-4 , specifically, are expected to have a significant impact on the future workforce, with some occupations being more exposed to AI than others. According to an early analysis:
Approximately 19% of jobs have at least 50% of their tasks exposed to AI. This means that almost one-fifth of the workforce is susceptible to being impacted by AI.
It seems the impact of Language Models (LLMs) like GPT-4 is likely to be pervasive.
- Skills expected to be automated: Occupations involving programming and writing skills are more susceptible to being influenced by LLMs.
- Skills that are less likely to get impacted: Occupations requiring science and critical thinking skills are less likely to be impacted by current language models.
- Advanced degrees are not adding any value: Individuals holding Bachelor's, Master's, and professional degrees are more exposed to AI than those without formal educational credentials.
- Manual Laborers and self-educated people are expected to be impacted less: Interestingly, individuals with some college education but no degree exhibit a high level of exposure to AI.
This research measures what is technically feasible now, but necessarily will miss the evolving impact potential of the LLMs over time. As with other general-purpose technologies, much of these algorithms’ potential will emerge across a broad range of economically valuable use cases, including creating new types of work and automating more and more types of tasks
If you are in Sales or Marketing, look at the upcoming updates in Google workspace that will reduce and automate a significant work
The impact of AI on the future workforce is already getting visible. Science and critical thinking skills will be crucial for jobs that are less likely to be impacted by AI, while programming and writing skills will be in high demand for jobs that involve AI.
It's important for children to acquire the necessary skills to remain relevant in the future workforce, and for parents and policymakers to prepare for the impact of AI on the economy.