The Gartner report predicts that more than 100 million people will work with generative AI in 2026
CTOnews.com June 5 news, ChatGPT, Midjourney as the representative of the generative AI is constantly attracting the attention of various industries around the world. Michael Briest, an analyst at UBS, recently quoted a report by Gartner, an IT research and consultancy, as saying that more than 100m people will work with generative AI in 2026.
"over the next few years, generative AI will have a huge impact on the pharmaceutical, manufacturing, media, architecture, interior design, engineering, automotive, aerospace, defence, healthcare, electronics and energy industries," Brister said.
According to Pexels Brister, the source of ▲, Gartner's report shows that generative AI will further accelerate enterprise innovation between now and 2027. The report makes five predictions:
By 2025, more than 30% of new drugs and materials will be systematically discovered by generative AI technology.
By 2025, the use of comprehensive data will reduce the total amount of real data needed for machine learning by 70%.
By 2025, 30 per cent of external marketing messages for large organizations will be generated by AI, up more than 15 times from less than 2 per cent in 2022.
By 2026, more than 100 million people will work with robot colleagues (generative AI) who will perform their respective duties and contribute accordingly within their respective functions.
By 2027, nearly 15 per cent of new applications will be automatically generated by AI without human involvement. For comparison, there are currently no applications automatically generated by AI (2023).
Brister quoted Gartner's forecast as saying that generative AI will have a significant impact on the labor market, and there is a growing concern that human living space is being squeezed by AI.
CTOnews.com Note: generative AI can achieve functions similar to human creativity by learning existing data and generating new data. Its most important feature is that it can automatically create new content, and can generate images, text, music and even audio-visual works and codes through algorithms.
