The rise of generative AI applications such as ChatGPT and Stable Diffusion has set the stage for an economic revolution, according to a report from global management consulting firm McKinsey.
According to McKinsey, this game-changing technology could add up to $4.4 trillion to the global economy each year, representing 15-40 percent of the overall economic impact of artificial intelligence.
“Generative AI could deliver an additional $2.6 trillion to $4.4 trillion worth of additional benefits annually across the 63 use cases we analyzed,” the report said, citing the emerging technology economy. Emphasizes possibilities.
Generative AI, a branch of the AI field focused on creating new content based on pre-trained data, has applications such as ChatGPT, Microsoft’s Copilot, and Stable Diffusion, from complex to complex healthcare. Since then, it has become very popular due to the ever-increasing number of use cases. A diagnosis against a pure work of art.
McKinsey’s report highlights the potential impact of AI on certain industries, stating, “Banking, high-tech and life sciences are among the industries that will see the greatest impact in terms of generative AI as a percentage of revenue. “It has said.
Generative AI is already revolutionizing how some work is done, automating activities and improving personal productivity. And it’s still in its early stages, according to the report.
“Today’s generative AI and other technologies have the potential to automate work activities that take up 60 to 70 percent of an employee’s time today,” explains McKinsey.
Different industries have different impacts
Customer operations, marketing and sales, software development, and research and development are some of the areas more susceptible to generative AI, according to McKinsey.
“That potential could increase the overall impact of AI by 15-40%,” says the report.
When it comes to industries, banking, high tech and life sciences stand to reap the biggest gains.
“For example, across the banking industry, this technology could add $200 billion to $340 billion in additional value per year if the use cases were fully implemented,” the report said. could bring in $400 billion to $660 billion in annual profits. For retailers.
In particular, this workforce transformation is expected to accelerate with technological advances. McKinsey estimates that half of today’s work activities could be automated between 2030 and 2060. This prediction is increasingly worrying Americans as AI tools become more popular.
Meanwhile, global services firm PricewaterhouseCoopers released a report estimating that AI’s contribution to the global economy could reach a staggering $15.7 trillion by 2030. Such optimistic forecasts have caused a major shift in investor interest, which is now shifting from cryptocurrencies to artificial intelligence technology.
This growing interest in all things AI-related has led a wider range of investors and hedge funds to consider the potential impact of generative AI on business and society, many from cryptocurrencies to AI startups. is shifting focus to
PWC notes that the convergence of generative AI and other technologies could increase productivity gains by 0.2-3.3 percentage points annually, and if workforce transitions and potential risks can be effectively managed, It argues that companies could accelerate towards a more sustainable and inclusive world.
