Asian stock markets plummet as Apple price hike raises inflation concerns, KOSPI dives over 8%
- Stock markets in the Asian region face selling pressure as Apple warns of price hikes.
- Surging prices of memory chips are expected to dent operating margins of AI companies.
- Japan’s SoftBank nosedives as OpenAI delays its IPO until next year.
Asian equity markets on Friday are significantly down as price hikes announced by Apple Inc. due to memory chip shortages have prompted fears of high inflation globally and concerns on earning projections of various companies that rely on these sophisticated chips for their final products.
At press time, Nikkei 225 nosedives 4.3% to near 69,169, Shanghai plummets 2% at around 4,040, Hang Sang plunges 2.2% to near 22,570, and KOSPI appears to be the biggest victim with 8.2% decline to near 8,200.
On Thursday, Apple Inc. said in a statement that the company has reached at a point where it needs to pass on the impact of increased prices of memory and storage, which is the outcome of an extraordinary surge in demand. The company added, “We have never seen a component price increase this much, this quickly.” However, the company has not announced the increase in prices of its devices yet.
The warning from Apple regarding robust demand for memory chips indicates that companies, which are investing significantly in building Artificial Infrastructure (AI) infrastructure, are expected to face a meaningful dent in their operating margins.
Meanwhile, a sharp decline in SoftBank due to a delay in OpenAI, which has developed ChatGPT, Initial Public Offer (IPO) until next year has also weighed on Japanese stock markets. According to a report from Bloomberg, SoftBank’s investment in the ChatGPT maker is slated to stand at roughly $65 billion by October. It is worth mentioning that SoftBank is the third largest company of Japan in terms of market capitalization.
AI stocks FAQs
First and foremost, artificial intelligence is an academic discipline that seeks to recreate the cognitive functions, logical understanding, perceptions and pattern recognition of humans in machines. Often abbreviated as AI, artificial intelligence has a number of sub-fields including artificial neural networks, machine learning or predictive analytics, symbolic reasoning, deep learning, natural language processing, speech recognition, image recognition and expert systems. The end goal of the entire field is the creation of artificial general intelligence or AGI. This means producing a machine that can solve arbitrary problems that it has not been trained to solve.
There are a number of different use cases for artificial intelligence. The most well-known of them are generative AI platforms that use training on large language models (LLMs) to answer text-based queries. These include ChatGPT and Google’s Bard platform. Midjourney is a program that generates original images based on user-created text. Other forms of AI utilize probabilistic techniques to determine a quality or perception of an entity, like Upstart’s lending platform, which uses an AI-enhanced credit rating system to determine credit worthiness of applicants by scouring the internet for data related to their career, wealth profile and relationships. Other types of AI use large databases from scientific studies to generate new ideas for possible pharmaceuticals to be tested in laboratories. YouTube, Spotify, Facebook and other content aggregators use AI applications to suggest personalized content to users by collecting and organizing data on their viewing habits.
Nvidia (NVDA) is a semiconductor company that builds both the AI-focused computer chips and some of the platforms that AI engineers use to build their applications. Many proponents view Nvidia as the pick-and-shovel play for the AI revolution since it builds the tools needed to carry out further applications of artificial intelligence. Palantir Technologies (PLTR) is a “big data” analytics company. It has large contracts with the US intelligence community, which uses its Gotham platform to sift through data and determine intelligence leads and inform on pattern recognition. Its Foundry product is used by major corporations to track employee and customer data for use in predictive analytics and discovering anomalies. Microsoft (MSFT) has a large stake in ChatGPT creator OpenAI, the latter of which has not gone public. Microsoft has integrated OpenAI’s technology with its Bing search engine.
Following the introduction of ChatGPT to the general public in late 2022, many stocks associated with AI began to rally. Nvidia for instance advanced well over 200% in the six months following the release. Immediately, pundits on Wall Street began to wonder whether the market was being consumed by another tech bubble. Famous investor Stanley Druckenmiller, who has held major investments in both Palantir and Nvidia, said that bubbles never last just six months. He said that if the excitement over AI did become a bubble, then the extreme valuations would last at least two and a half years or long like the DotCom bubble in the late 1990s. At the midpoint of 2023, the best guess is that the market is not in a bubble, at least for now. Yes, Nvidia traded at 27 times forward sales at that time, but analysts were predicting extremely high revenue growth for years to come. At the height of the DotCom bubble, the NASDAQ 100 traded for 60 times earnings, but in mid-2023 the index traded at 25 times earnings.
Author
Sagar Dua
FXStreet
Sagar Dua is associated with the financial markets from his college days. Along with pursuing post-graduation in Commerce in 2014, he started his markets training with chart analysis.
