As the second quarter begins, we’re taking stock of the AI trade. While returns in 2024 have been strong, we think there is still room to run. Two reasons are behind our conviction: artificial intelligence adoption remains in the early innings, and companies are still researching and figuring out the potential use cases of AI and how to make money on them. Jefferies said a note this week that 2024 is a transition year from “dreaming of gen AI’s potential” in 2023 to this year’s implementation and monetization, and a look ahead to creating new products that can ramp up in 2025. The analysts said Microsoft and Amazon are best positioned for enterprise adoption, and Meta Platforms and Alphabet are uniquely geared to serve consumer needs. In their view, Microsoft, thanks to its investment in ChatGPT startup OpenAI, is the clear leader given its positioning on the infrastructure side with its Azure cloud and its early move into product offerings with Copilot AI assistants. Alphabet, on the other hand, was designated as the “most underrated,” by the Jefferies analysts, a designation we agree with despite our decision to trim some shares Monday morning. Microsoft leads There’s no denying Microsoft’s execution, which paved the way for generative AI to go mainstream and the company to then make money from the emerging technology. It has been unmatched. Microsoft was quick to realize the power of OpenAI, making its initial investment in 2019 and subsequent ones in 2021 and 2023 . OpenAI’s ChatGPT launched in late 2022 and went viral shortly after that — launching the current wave of investor interest in AI and the companies whose stocks can benefit from it. MSFT 5Y mountain Microsoft 5 years Google is not out As for Alphabet, there are still concerns about the company’s ability to maintain Search dominance and management’s ability to effectively execute following a series of missteps that have understandably led to some skepticism regarding its ability to lead in AI. However, we think it’s wrong to count the Google parent out. Alphabet may have messed up by letting Microsoft leap ahead on generative AI, but the company has years of experience in artificial intelligence research. Much of what we are seeing today, with products like Google’s Gemini and ChatGPT, wouldn’t be possible without the research conducted by Alphabet over the past decade. In fact, the transformer architecture , on which ChatGPT was built, was developed by Google researchers and introduced in 2017. Google is also rapidly pushing into the cloud and has a treasure trove of consumer data that will prove crucial to refining its models and AI products over time. GOOGL 5Y mountain Alphabet 5 years Given a roughly 15% rebound since the stock bottomed in the beginning of March, we had to let some go. However, considering the combination of data, talent, and financial firepower at Alphabet’s disposal, we think it would be wrong to remove all exposure, especially at less than 23 times 2024 earnings estimates. Thus, our decision, conveyed in Monday morning’s trade, to keep 545 shares of Alphabet following the trim. The stock went on to make a 52-week high on the first day of April. We should also acknowledge the recent news that Apple may be looking to tap Google as a partner for its own AI ambitions. Though Apple has certainly implemented forms of artificial intelligence into its products over the years, it has yet to announce any major update in terms of working in the new form of generative AI. A partnership with Alphabet would certainly prove positive for both companies. Whether they do decide to partner with Alphabet or keep development in-house, remains to be seen, however, we do expect to hear something regarding generative AI when Apple hosts its annual Worldwide Developers Conference in June. Alphabet’s Gemini Nano seems like a viable option for Apple given it’s designed to be used for on-device tasks, meaning it doesn’t rely on sending data back to the cloud, a data handling practice Apple has leveraged in the past to help to ensure user privacy. Apple notes for example that “Face ID data doesn’t leave your device and is never backed up to iCloud or anywhere else.” That’s different from Siri. Those queries do go back to the cloud and then render on the device rather seamlessly. It’s the reason Face ID can work without a mobile or internet connection and Siri can’t. Amazon hedges its bets Turning to Amazon, the latest update on the company’s AI ambitions came last week with the announcement of a $2.75 billion investment into AI startup Anthropic, the largest investment to date by the e-commerce and cloud computing heavyweight. That alone should tell you just how big these companies are betting that generative AI will indeed be transformative — on par with smartphones or the internet itself. Back in September, Amazon put $1.25 billion into Anthropic, bringing its total committed to $4 billion. Anthropic is the company behind the highly regarded Claude large language model (LLM). As reported by the CNBC tech team , the latest edition, Claude 3 “outperformed OpenAI’s GPT-4 and Google’s Gemini Ultra on industry benchmark tests, such as undergraduate-level knowledge, graduate-level reasoning, and basic mathematics.” Notably, Amazon isn’t relying on Anthropic for its generative AI ambitions, if anything, the investment seems like a way to diversify or hedge its bet on its own LLM, codename Olympus, which is expected to debut later this year. The combination of cost optimization on the e-commerce side, a rebound in cloud spending in IT…
Read More: State of the AI trade after a great first-quarter run for Meta, Amazon, others
2024-04-01 19:10:27