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As artificial intelligence opens up and becomes democratized through platforms offering generative AI, its likely to alter tasks within at least 80% of all jobs, a new analysis suggests. Jobs requiring college education will see the highest impacts, and in many cases, at least half of peoples tasks may be affected by AI. Its extremely important to add that affected occupations will be significantly influenced or augmented by generative AI, not replaced.

Thats the word from a paper published by a team of researchers from OpenAI, OpenResearch, and the University of Pennsylvania. The researchers included Tyna Eloundou with OpenAI, Sam Manning with OpenResearch and OpenAI, Pamela Mishkin with OpenAI, and Daniel Rock, assistant professor at the University of Pennsylvania, also affiliated with OpenAI and OpenResearch.

The research looked at the potential implications of GPT (Generative Pre-trained Transformer) models and related technologies on occupations, assessing their exposure to GPT capabilities. Our findings indicate that approximately 80% of the U.S. workforce could have at least 10% of their work tasks affected by the introduction of GPTs, while around 19% of workers may see at least 50% of their tasks impacted, Eloundou and her colleagues estimate. The influence spans all wage levels, with higher-income jobs potentially facing greater exposure particularly jobs requiring college degrees. At the same time, they observe, considering each job as a bundle of tasks, it would be rare to find any occupation for which AI tools could do nearly all of the work.

The researchers base their study on GPT-4, and use the terms large language models (LLMs) and GPTs interchangeably.

Their findings suggest that programming and writing skills are more likely to be influenced by generative AI. On the other hand, occupations or tasks involving science and critical thinking skills are less likely to be influenced. Occupations that are seeing or will see a high degree of AI-based influence and augmentation (again, emphasis on influence and augment) include the following:

GPTs are improving in capabilities over time with the ability to complete or be helpful for an increasingly complex set of tasks and use-cases, Eloundou and her co-authors point out. They caution, however, that the definition of a task is very fluid. It is unclear to what extent occupations can be entirely broken down into tasks, and whether this approach systematically omits certain categories of skills or tasks that are tacitly required for competent performance of a job, they add. Additionally, tasks can be composed of sub-tasks, some of which are more automatable than others.

Theres more implications to AI than simply taking over tasks, of course. While the technical capacity for GPTs to make human labor more efficient appears evident, it is important to recognize that social, economic, regulatory, and other factors will influence actual labor productivity outcomes, the team states. There will be broader implications for AI as it progresses, including their potential to augment or displace human labor, their impact on job quality, impacts on inequality, skill development, and numerous other outcomes.

Still, accurately predicting future LLM applications remains a significant challenge, even for experts, Eloundou and her co-authors caution. The discovery of new emergent capabilities, changes in human perception biases, and shifts in technological development can all affect the accuracy and reliability of predictions regarding the potential impact of GPTs on worker tasks and the development of GPT-powered software.

An important takeaway from this study is that generative AI not to mention AI in all forms is reshaping the workplace in ways that currently cannot be imagined. Yes, some occupations may eventually disappear, but those that can harness the productivity and power of AI to create new innovations and services that improve the lives of customers or people will be well-placed for the economy of the mid-to-late 2020s and beyond.

I am an author, independent researcher and speaker exploring innovation, information technology trends and markets. I served as co-chair of the AI Summit in 2021 and 2022, and have also participated in the IEEE International Conference on Edge Computing and the International SOA and Cloud Symposium series.I am also a co-author of the SOA Manifesto, which outlines the values and guiding principles of service orientation in business and IT.I also regularly contribute to Harvard Business Review and CNET on topics shaping business and technology careers.

Much of my research work is in conjunction with Forbes Insights and Unisphere Research/ Information Today, Inc., covering topics such as artificial intelligence, cloud computing, digital transformation, and big data analytics.

In a previous life, I served as communications and research manager of the Administrative Management Society (AMS), an international professional association dedicated to advancing knowledge within the IT and business management fields. I am a graduate of Temple University.

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Most Jobs Soon To Be Influenced By Artificial Intelligence, Research Out Of OpenAI And University Of Pennsylvania Suggests - Forbes