Management consulting firm McKinseyAn artificial intelligence report released earlier believes that the future development of artificial intelligence technology will have breakthrough growth, and it is expected to reach the level of human brain thinking around 2030. At the same time, it will bring huge changes to the industry and also promote greater market output value.
The report states that the automatically generated artificial intelligence that has flourished in recent years will grow faster than previous artificial intelligence. It will also have an impact on knowledge-based jobs that used to require brain thinking, rather than the previous artificial intelligence that mainly affected highly repetitive and single-operation jobs.
McKinsey estimates show that the potential for automation of professional knowledge work using artificial intelligence technology has increased by 34%, while the potential for automation of management and talent development will increase from 2017% in 16 to 49%. This is related to the recent development of automatic generative artificial intelligence technology. Driven by large-scale natural language models that can understand human language communication, artificial intelligence technology will be applied to more types of work and reduce the proportion of traditional human input through automation.
In the current economic field, at least 40% of labor jobs still require understanding human language, including banking, securities and other types of jobs that still rely on traditional manpower. If the automatic generation of artificial intelligence technology continues to grow, the possibility of such jobs being replaced by artificial intelligence is expected to increase.
At the same time, as automated generative AI technologies such as ChaGPT, Coplilot, and Stable Diffusion are becoming increasingly popular in the market, companies including Microsoft and Google have also begun integrating automated generative AI into their search services. This has impacted the creation of content that previously required extensive human thought. For example, by providing AI with key descriptive phrases, it can quickly generate rich articles, automatically generate beautiful illustrations, and even create complete music tracks by referencing a few melodies.
As generative artificial intelligence (AI) becomes increasingly widespread, jobs that previously relied on human thinking appear to be facing challenges. However, looking at the overall market development, McKinsey predicts that AI will generate at least $2.6 trillion to $4.4 trillion in economic benefits annually, a 2017%-15% increase compared to its previous estimate in 40.
However, the McKinsey report does not believe that most jobs will be replaced by AI in the future. Instead, it anticipates significant changes, especially the emergence of collaborative work between workers and AI. However, many jobs still cannot be completely replaced by AI, and AI can only serve as an auxiliary tool to improve work efficiency.
On the other hand, McKinsey also believes that companies will also evaluate the cost-effectiveness of introducing AI and maintaining existing human operations. If the cost of AI is still relatively high, the feasibility of replacing traditional labor will obviously become lower. However, if the use of AI combined with traditional labor can create greater value, then it will attract more companies to introduce AI and even change existing work processes.
