- Most white collar jobs could be affected by artificial intelligence
- Organizational and analytical tasks are more at risk, according to the IPPR report
- AI policies should focus more on the adoption of AI
New research from the Public Policy Research Institute (IPPR) has revealed to what point the effects of AI are deep on knowledge workers, with more than two -thirds of tasks in the roles of white collars at risk to be affected by artificial intelligence.
The report specifically details how generative AI transforms the jobs that rely on computer tasks, such as project management, marketing and administrative support.
He revealed that up to 70% of the 22,000 tasks analyzed could be “transformed” or “replaced” by AI.
White collar jobs are threatened with AI transformation
“Organizational and strategic tasks” and “repetitive cognitive and analytical tasks” have proven to be among the most likely to see improvements in productivity and the efficiency of AI, but now that AA evolves from a novelty to a real help, the IPPR requests better advice.
The author of the report and head of the IPPR, Carsten Jung, said that too many policies focus on acceleration of adoption of AI or to ensure its safety, but very few have in made a clear and determined direction for the adoption of the AI.
“The launch of” AI agents “shows that AI is different from past technologies,” said Jung, “AI technology could have a seismic impact on the economy and society: it will transform the Jobs, will destroy the old ones, will create new ones, trigger the development of new products and services and allow us to do things that we could not do before. »»
The IPPR urges governments to define clear policies, to establish measurable objectives, to associate with the private sector and to civil society to guide development and guarantee that the progress of the AI remains aligned with the public interest .
Jung added: “Politics must catch up with the implications of a powerful AI. Beyond what the AI models are sure, we must determine the objectives we want to achieve. »»
