the beginning of Artificial intelligence (AI) And machine learning is getting investors excited technology Again, interest in AI stocks is starting to grow.
tools such as Chat GPT Google Bard intrigued people with its ability to generate images based on a few commands and create everything from poetry to computer code to legal documents in seconds.
Proponents highlight the potential of data processing to support the development of areas such as healthcare, fraud detection and the delivery of more customized financial services.
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It also means better graphics and effects. video games And movies, and more reliable self-driving cars.
There are concerns that it will take away people’s jobs, but on the flip side, it means that productivity will improve by letting chatbots and robots do simpler tasks.
Venture capital investment in AI startups Global sales grew more than 80% to $115 billion last year, according to PitchBook data.
According to GrandView research, the global AI market will be valued at $136.5 billion in 2022 and is forecast to grow 37.3% from 2023 to 2030.
Technology-focused fund It has become popular with investment platforms such as Interactive Investor, and some see it as a response to the rise of AI.
However, getting direct exposure through stocks is a bit more difficult.
AI has been around since the 1940s, but modern companies like OpenAI, the San Francisco tech company that developed ChatGPT, aren’t listed.
Another way to get into this fast-growing sector is through equity, by backing technology stocks and companies involved in this space.
Analysts warn that investors should act with caution.
“You could say there’s a comparison to the Internet circa 1996-1997. There are a lot of stories of winners and losers, but no one knows what happens next,” says a spokesperson for AJ Bell. .
“New companies may be born and then new endeavors. But it will probably result in many failures and some successes.”
AI is a huge growth area with huge potential, said Ben Yearsley, investment director at Shore Financial Planning.
“But as with many emerging areas, the pick and shovel is a better fit for most investors,” he said.
That makes research even more important.
Here are four stocks to consider that could help capitalize on the AI boom.
4 AI stocks to buy
Nvidia
Computer chip maker Nvidia (NASDAQ: NVDA) is at the forefront of AI development.
Many machine learning products such as ChatGPT run on top of the company’s products.
“NVIDIA sits at the forefront of AI giants given that chips are essential to powering machine learning systems,” says Susannah Streeter, head of money and markets at Hargreaves Lansdown.
Shares of Nasdaq-listed companies are up 196% year-to-date.
The company’s stock hits 5% after reporting a surge in demand for AI chips from AI and forecasting revenue of $11 billion in the three months to the end of July, beating analyst expectations by 50%. It hit an all-time high for the month.
That growth is unlikely to last long, Streeter added, but the level of demand could put pressure on supply chains, while there is also tension between the United States and China over semiconductor exports. .
“Given valuations well above their long-term averages, there will be significant pressure to achieve consistently high growth, and given the potential pitfalls ahead, stocks could be volatile going forward. There is,” added Streeter.
microsoft
Microsoft (Nasdaq: MSFT) invested about $13 billion in OpenAi last year and began integrating it into the Bing search engine and Teams, which will drive adoption and adoption even further, Yearley said.
Alphabet, which owns Google, has also developed its own Bard chatbot, and Amazon and Tesla have invested in AI, so it might be worth the investment, but at the moment its proposition isn’t as broad as Microsoft’s.
“Of all the big companies, Microsoft seems to have the most to offer, before adding things like the Azure storage business, which is also a beneficiary,” Streeter says.
Microsoft shares are up 41% year-to-date to $338.
relax
Data is said to be the new gold, and the ability to analyze vast streams of information is critical to AI business models.
relax(New York Stock Exchange: Relax), the UK-based data analytics provider is well-positioned to capitalize on future developments with its huge proprietary datasets built using public and internal sources, Streeter said. says.
Shares of the New York Stock Exchange-listed company are up 19% year-to-date to $33.
That valuation is above the long-term average of 21 times expected earnings, putting additional pressure on it to continue to perform.
dark trace
Darktrace (listed on the London Stock Exchange)LSE: Dark L) uses machine learning to scan normal business operations to detect small anomalies that can make them vulnerable to cyberattacks.
Cybersecurity has already reached a $200 billion market and demand is likely to continue to grow, Streeter said, adding that the move to digital should open up new opportunities and markets for the company. suggesting.
The company, which only went public in June 2021 and is a relatively new entrant to the stock market, is up 14% this year to 302p.
“There are some short-term headwinds to adding new customers due to the difficult macroeconomic conditions, but 99% of our revenue is subscription-based, so it should provide a stable revenue scheme,” said Story. Mr Tarr added.
“Management expects annual recurring revenues to increase by about 30% for the full year.
