With the introduction of ChatGPT, an AI chatbot, late last year, generative AI (AIGC) has generated global attention.

The power of generative AI to create content, with algorithms to generate images, text, music, and even code and video, opens up endless possibilities for a wide range of industries and has the potential to drive innovation in many fields.

UBS analyst Michael Briest, citing a report by Gartner, the world's leading IT research and advisory firm, said that in the coming years, generative AI will have an impact on "pharmaceuticals, manufacturing, media, architecture, interior design, engineering, automotive, aerospace, defense, medical, electronics and energy industries, medical, electronics and energy industries. Briest said Gartner's report states that "generative AI will impact the marketing, design, corporate communications, training and software engineering sectors by enhancing cross-organizational support processes."

He also said Gartner made five bold predictions about how AI will accelerate enterprise innovation between now and 2027. These predictions are as follows.

1. that by 2025, more than 30 percent of new drugs and materials will be systematically discovered through generative AI technologies;

2. by 2025, the use of synthetic data will reduce the amount of real data required for machine learning by 70%.

3. 30% of external marketing messages for large organizations will be generated by AI by 2025, compared to less than 2% in 2022.

The UBS analysts also noted that it noted that Salesforce recently released Einstein PT, which can send personalized emails to customers on behalf of salespeople, generate specific query responses on behalf of customer service professionals, and deliver targeted content to marketers.

4, By 2027, nearly 15% of new applications will be automatically generated by AI without human involvement, compared to 0% today.

1. By 2026, more than 100 million people will be working alongside their robot colleagues to make their respective contributions to the enterprise.

Will have a significant impact on the labor market

At the same time, this accelerated innovation could also result in significant job losses.

In UBS's view, as with early innovations in areas like printing, electricity or railroads, generative AI could have a significant impact on the labor market.

A recent study published by Goldman Sachs in March this year also shows that the latest breakthroughs in generative AI systems, such as ChatGPT, are expected to bring major disruptions to the global labor market, with 300 million jobs expected to be replaced by generative AI globally, with lawyers and administrators being the most likely to be laid off.

Last month, Ben Goertzel, a cognitive scientist and founder and CEO of SingularityNET, made an even more startling observation. The AI expert said that AI could replace 80 percent of human jobs in the next few years.

With the introduction of ChatGPT, an AI chatbot, late last year, generative AI (AIGC) has generated global attention.

The power of generative AI to create content, with algorithms to generate images, text, music, and even code and video, opens up endless possibilities for a wide range of industries and has the potential to drive innovation in many fields.

UBS analyst Michael Briest, citing a report by Gartner, the world's leading IT research and advisory firm, said that in the coming years, generative AI will have an impact on "pharmaceuticals, manufacturing, media, architecture, interior design, engineering, automotive, aerospace, defense, medical, electronics and energy industries, medical, electronics and energy industries. Briest said Gartner's report states that "generative AI will impact the marketing, design, corporate communications, training and software engineering sectors by enhancing cross-organizational support processes."

He also said Gartner made five bold predictions about how AI will accelerate enterprise innovation between now and 2027. These predictions are as follows.

1. that by 2025, more than 30 percent of new drugs and materials will be systematically discovered through generative AI technologies;

2. by 2025, the use of synthetic data will reduce the amount of real data required for machine learning by 70%.

3. 30% of external marketing messages for large organizations will be generated by AI by 2025, compared to less than 2% in 2022.

The UBS analysts also noted that it noted that Salesforce recently released Einstein PT, which can send personalized emails to customers on behalf of salespeople, generate specific query responses on behalf of customer service professionals, and deliver targeted content to marketers.

4, By 2027, nearly 15% of new applications will be automatically generated by AI without human involvement, compared to 0% today.

1. By 2026, more than 100 million people will be working alongside their robot colleagues to make their respective contributions to the enterprise.

Will have a significant impact on the labor market

At the same time, this accelerated innovation could also result in significant job losses.

In UBS's view, as with early innovations in areas like printing, electricity or railroads, generative AI could have a significant impact on the labor market.

A recent study published by Goldman Sachs in March this year also shows that the latest breakthroughs in generative AI systems, such as ChatGPT, are expected to bring major disruptions to the global labor market, with 300 million jobs expected to be replaced by generative AI globally, with lawyers and administrators being the most likely to be laid off.

Last month, Ben Goertzel, a cognitive scientist and founder and CEO of SingularityNET, made an even more startling observation. The AI expert said that AI could replace 80 percent of human jobs in the next few years.