In just two months, ChatGPT has gained 100 million registered users. This growth rate means that ChatGPT has surpassed TikTok and Instagram as the fastest growing tool and application in history.
Several global industry research teams from Credit Suisse recently jointly launched a research report on the theme “ChatGPT: Unlocking the Potential of Large Language Models”, which in-depth analyzed ChatGPT and its potential AI application scenarios in various industries, the AI hardware supply chain driving its large-scale implementation, and the companies most likely to benefit from the rapid deployment of AI models.
The report believes that ChatGPT’s technological innovation, the development of generative/conversational AI (ChatGPT is a generative AI product), and Bing AI are expected to bring widespread changes. For most industries, the main role of this tool is not to generate revenue, but to increase productivity, reduce costs, and improve efficiency. Of course, the IT industry is an exception. ChatGPT is able to write and inspect code in multiple programming languages, which is expected to significantly accelerate the pace of software program innovation.
In addition, in addition to being able to play a role in productivity enhancing application scenarios such as creativity or content creation, ChatGPT can also achieve immediate results when applied to other industries that require professionals to search/verify factual information or conduct inquiries.
Considering the potential impact of such technologies on society, the report believes that it is necessary to introduce regulations on AI development and ChatGPT. Although there are currently no regulations for ChatGPT, discussions have been held on how to ensure that the impact of recent technological developments is controllable and traceable.
What industry application scenarios does ChatGPT have? What other AI technology applications are worth looking forward to? It is worth mentioning that AI tools such as ChatGPT and Copilot have assisted in generating about 30% of all new code in the technology industry. The report believes that this fully highlights the value of the technology and proves that it can effectively improve productivity.
AI hardware and semiconductor supply chains are expected to benefit overall. The report believes that large-scale computing power construction may be carried out in the next five years to meet AI’s computing requirements and provide resources to achieve AI’s development goals. Against the backdrop of the rapid development of the global AI industry, the AI/ChatGPT supply chain in Asia/Europe is expected to play a key driving role.
The data center is one of the fastest growing technology sub sectors. Although its growth rate has been slowed by the macro environment, it still performs better than many consumer sub sectors in the post epidemic era. According to the report, although the demand for new computing power brought by ChatGPT is not yet sufficient to offset the negative impact of the macro environment and open up upside space for supply chain orders, accelerating AI development through concentrated investment may help this sector achieve growth above the overall level of the industry during the industry’s downward cycle.
In the medium term, the increase in AI service penetration, coupled with an increase in its application scenarios for generating revenue in various industries and improving cost effectiveness/capital expenditure efficiency, may drive the hardware and semiconductor sub industries into a new cycle, thereby providing support for the innovation and development of AI technology.
The semiconductor industry AI computing and storage sector is expected to benefit. AI training and reasoning are computationally intensive tasks that should continue to drive the progress of semiconductor technology in the fields of data computing, storage, and transmission. The report predicts that the potential market size of data center computing chips (including accelerated servers) will have a compound annual growth rate of 14% from 2019 to 2024, which is far faster than the compound annual growth rate of server CPU (2%); In 2022, the penetration rate of AI accelerated servers will be 48%. If the penetration rate increases by 1-2 percentage points per year, the annual composite growth rate of its revenue is expected to reach 30-35% by 2027.
Looking at other areas of the semiconductor industry, AI is expected to improve the prospects of server storage products for leading storage products companies. Now, these manufacturers are expanding their business landscape from mobile phone chips (accounting for 40% of the industry’s storage demand) and power management chips to artificial intelligence circuit boards, network switch integrated circuits, dedicated integrated circuits, and integrated circuit design services.
The report also believes that supply chain enterprises benefiting from advances in computing intensive technology are expected to promote the development of the advanced semiconductor industry. Currently, the advanced semiconductor industry is replacing the mobile phone chip industry as a key driver of innovation in advanced manufacturing and high-end packaging integration.