The White House has shed light on the extent of artificial intelligence exposure in the American workforce, indicating that about 10% of workers are in roles with significant exposure to AI and lower performance standards.
This revelation, part of the Biden administration‘s Economic Report of the President, underscores the potential vulnerability of certain occupations to displacement due to AI-powered automation.
The report, prepared by the Council of Economic Advisers, highlights that a total of 20% of American workers are in occupations with a high level of exposure to AI. Among them, approximately half—equivalent to 10% of the U.S. workforce—are not only highly exposed to AI but also face relatively low performance requirements, making them more susceptible to displacement by automation driven by AI.
Economists behind the report suggest that AI adoption may further exacerbate income inequality by substituting employment in lower-wage jobs while complementing higher-wage occupations.
ChatGPT is changing the way employees work.
Wages and employment
However, they caution that such interpretations should be made cautiously, considering the interplay of supply-and-demand forces in determining patterns of wages and employment.
Furthermore, the report underscores that while AI may reshape job roles, it may not necessarily lead to their complete elimination.
For instance, despite advancements in AI technology, certain roles like school bus drivers are likely to persist, albeit with changes in responsibilities. Similarly, autopilot systems in airplanes have automated some tasks but have not replaced the need for human pilots.
The analysis also revealed slight differences in AI exposure between men and women in the workforce, with women slightly more exposed to AI but also facing higher performance requirements on average.
Overall, the report said that while AI may bring about changes in job tasks, most jobs remain a combination of tasks, only some of which can be automated. Hence, AI-led automation is more likely to transform job roles rather than eliminate them entirely.
Ahron Young is an award winning journalist who has covered major news events around the world. Ahron is the Managing Editor and Founder of TICKER NEWS.
As businesses embrace cutting-edge tech, challenges like data sovereignty and AI are taking centre stage.
Over the past six months, the AI industry has seen significant advancements, with competing models such as Meta’s Luma and Google’s Gemini entering the market.
However, these developments come with a reality check. Building large language models (LLMs) requires substantial computing power and time, making immediate returns on investment unlikely.
One promising innovation is agentic AI, a step beyond generative AI, which enables proactive, automated solutions.
For instance, this technology could stabilise IT systems autonomously, diagnosing and resolving issues without human intervention.
Data sovereignty has also emerged as a key focus, with increasing emphasis on keeping data within national borders to comply with local laws. This has driven the adoption of sovereign clouds and private data centres, ensuring secure and localised data processing for AI development.
Deepak Ajmani, Vice President of ANZ & APAC Emerging Markets at Confluent, joins to discuss the evolving business landscape.
Key lessons and tips for seamless Copilot adoption
In this episode, Kate Faarland, the Senior Vice President of Data and AI Programs at AvePoint, discusses the importance of AvePoint’s data and AI program, internal challenges with implementing CoPilot, and the organisation’s learnings from rolling out CoPilot for their workforce.