简体中文
繁體中文
English
Pусский
日本語
ภาษาไทย
Tiếng Việt
Bahasa Indonesia
Español
हिन्दी
Filippiiniläinen
Français
Deutsch
Português
Türkçe
한국어
العربية
Abstract:As advanced technologies continue to emerge, coupled with the increasing impact of Artificial Intelligence (AI), a pertinent question arises: could a financial bubble be looming? Through this article, we'll delve into the phenomenon of speculative bubbles and investigate the plausibility of an AI-related bubble.
As advanced technologies continue to emerge, coupled with the increasing impact of Artificial Intelligence (AI), a pertinent question arises: could a financial bubble be looming? Through this article, we'll delve into the phenomenon of speculative bubbles and investigate the plausibility of an AI-related bubble. Our analysis will take into consideration the response of individual investors, the actual potential of AI in different industries, signs of over-enthusiasm, and the importance of making well-researched and strategic investment choices. Join us on this journey to learn how to navigate the current landscape and locate sustainable opportunities in the AI-driven financial market.
What is a bubble?
A financial bubble, commonly referred to as a speculative bubble, is characterized by a sudden and sharp surge in the price of an item or asset, beyond its intrinsic worth. This surge can be fueled by rumors or other pieces of information that encourage investors to view the asset as a worthwhile investment.
This price increase can be driven by rumors or even by news that leads investors to believe that investing in that particular asset is worthwhile.
However, there is a point where the price becomes inflated, and speculation takes over. In this context, people seek to make profits by buying and selling the asset quickly.
Just as the price rose rapidly, there is also a sharp decline. This results in the collapse of the speculative bubble and usually entails significant losses for investors.
There has been a great buzz around artificial intelligence since ChatGPT emerged on the scene last year, which has significantly boosted the gains of the S&P 500. With all this momentum, it is natural for questions to arise about a possible AI bubble. Moreover, considering that technology giants have transitioned from a negative impact caused by the Federal Reserves interest rate hikes to prominent positions in the market within a few months, the question becomes even more relevant.
A chart from Bank of America can help put things into perspective: if we are indeed facing an AI bubble, it is still minuscule compared to previous bubbles. However, there is a possibility that this alleged bubble is just beginning to form.
One thing for sure is: individual investors have not yet fully embraced it, which means there is potential for additional gains when they do. The excitement surrounding AI is grounded in vast real potential that is already being applied in sectors such as education. According to Goldman Sachs, the productivity increase driven by technology is expected to boost S&P 500 profits by an incredible 30% in the next decade, while other experts believe that there is no established limit to its potential.
It is important to note that, although expectations for AI are high, there are signs of excessive enthusiasm in the sector. The mere mention of “AI” in a press release can drive up a companys stock. However, the markets are the true arbiters, and over time, they will distinguish quality companies from dubious opportunities in the AI field. Therefore, it is crucial to be cautious and not blindly follow the crowd in an investment. Conduct your own research, look beyond momentary trends, and focus on companies that are better positioned to benefit from this technology. Certainly, there will be obstacles along the way (Bank of America has warned that further Fed interest rate hikes may negatively impact the markets and the enthusiasm surrounding AI), but if you act wisely, you can reap good returns in the long run.
Disclaimer:
The views in this article only represent the author's personal views, and do not constitute investment advice on this platform. This platform does not guarantee the accuracy, completeness and timeliness of the information in the article, and will not be liable for any loss caused by the use of or reliance on the information in the article.
Brokers are often classified into two categories: A-book and B-book brokers. Understanding these distinctions can help traders choose the right broker for their trading needs. In this article, we’ll delve into what A-book and B-book brokers are, how they operate, and the key differences between them.
Bangkok, Thailand — Following a grand day-long fintech gala, “The Deeper · The Richer” — WikiEXPO Thailand 2024 has successfully concluded today.
In the world of online trading, various account types and trading models allow investors to participate in the market with varying levels of involvement. Among the most popular are social trading, copy trading, PAMM (Percentage Allocation Management Module), and MAM (Multi-Account Manager) accounts.
Master candlestick charts to spot trends, reversals, and make smarter trades. Visit WikiFX’s educational page for expert insights and strategies. Start today!