Yahoo Finance Analyst Sees $1.2 Trillion AI Opportunity for Alphabet Inc (NASDAQ:GOOG)
We recently published a list titled 10 Best AI Stocks With More Upside on $1.2 Trillion AI “Value Creation Opportunity”. Since Alphabet Inc (NASDAQ:GOOG) ranks 5th in the list, it deserves a deeper look.
UBS Global Wealth Management’s (GWM) recently published a detailed report discussing different layers of the AI “value chain,” estimating the combined market value opportunity from the layers at $1.2 trillion by 2027.
UBS segments the AI market into three layers – Enabling Layer, Intelligence Layer and Application Layer. The enabling layer is what actually powers the AI ecosystem — infrastructure, GPUs, data centers, Cloud, servers. UBS further divided this layer into two segments, Infrastructure and Cloud. The firm expects a combined $516 billion revenue opportunity from the enabling layer by 2027.
Next up is the intelligence layer, which acts as the brain of the entire AI ecosystem. Large language models and backed software systems sit at this layer. UBS estimates that this layer presents a $225 billion opportunity by 2027.
The third layer in the AI market highlighted by UBS is the application layer. This is where the end user comes in. Cloud, data centers, GPUs, LLMs and algorithms amount to nothing if the end user cannot benefit from their huge processing power. UBS said estimating monetization opportunity of this layer was the hardest since it’s still in its very early stage. The application layer addresses actual AI software used by customers — think AI assistants, GitHub CoPilot, marketing, customer service software, etc. UBS expects a whopping $395 billion in revenue opportunities for the application layer by 2027.
Key AI Predictions
The UBS report also made key “predictions” about the AI landscape. The firm’s analysts believe the race to achieve artificial general intelligence (AGI) could give rise to a “capex cycle” that could “inflate” the AI investment bubble. UBS sees the dominance of a few companies in the AI industry will continue to be a reality moving forward, as it expects “monolithic players” and “AI foundries” prevailing in the near future.
Based on this report, let’s take a look at the top companies that will directly benefit from this $1.16 trillion opportunity by 2027. For this article we analyzed UBS analysis and picked 10 stocks that are directly exposed to the three layers in the AI ecosystem highlighted by UBS in its latest report. These companies are positioned extremely well to benefit from the monetization opportunities in the enabling, intelligence and application layers of the AI market. With each stock we have mentioned the number of hedge fund investors. Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 275% since May 2014, beating its benchmark by 150 percentage points (see more details here).
A laptop and phone open to Google's services in an everyday setting.
Alphabet Inc (NASDAQ:GOOG)
Number of Hedge Fund Investors: 165
According to the latest UBS report, Alphabet Inc (NASDAQ:GOOG) falls in all three layers of the AI value chain – enabling, intelligence and application layer. Alphabet Inc (NASDAQ:GOOG) is an AI enabling player because of its Tensor Processing Units (TPUs) and Google Cloud Platform, while Gemini makes it a key player in the intelligence layer. On the application layer, UBS believes Alphabet Inc (NASDAQ:GOOG) has an edge with its Duet AI assistant and advertising. All these catalysts make Alphabet Inc (NASDAQ:GOOG) a company that could benefit from the $1.2 trillion AI opportunity by 2027, UBS said.
Alphabet Inc. (NASDAQ:GOOG) bulls believe the market is not incorporating Alphabet Inc.’s (NASDAQ:GOOG) growth in Cloud, Other Bets, Video and other high growth initiatives. The stock is trading 20x Alphabet Inc.’s (NASDAQ:GOOG) 2025 EPS estimate of $8.57. This multiple makes the stock look attractively valued since the Wall Street expects Alphabet Inc. (NASDAQ:GOOG) earnings to grow by 13.40% in 2025 and by 19% over the past five years on a per annum basis.
Lakehouse Global Growth Fund stated the following regarding Alphabet Inc. (NASDAQ:GOOG) in its April 2024 investor letter:
“Alphabet Inc. (NASDAQ:GOOG) delivered a strong quarterly result that came in well ahead of analysts’ expectations. Revenue grew 15.4% (16.0% constant currency) to $80.5 billion and operating income grew 46.0% to $25.5 billion. Revenue growth accelerated across Search, YouTube Ads, and Google Cloud, all whilst the company delivered its highest operating margin since 2021 – showing meaningful progress in the company’s efforts to durably re-work their cost structure. On the Generative AI front, management emphasised the company’s infrastructure advantages including 5th generation TPUs(chips developed by Google specifically for AI training and inference), high performance data centre architecture, and AI models that are 100x more efficient versus 18 months ago. Overall, we believe that Alphabet is well placed for the AI opportunity ahead and still has significant latent earnings power. When combined with a relatively undemanding valuation of 21x forward net profit and over $100 billion of cash on the balance sheet, it’s not hard to see why we remain positive on the range of outcomes in the years ahead.”
Overall, Alphabet Inc (NASDAQ:GOOG) ranks 5th on Insider Monkey’s list titled 10 Best AI Stocks With More Upside on $1.2 Trillion AI “Value Creation Opportunity”. While we acknowledge the potential of Alphabet Inc (NASDAQ:GOOG)), our conviction lies in the belief that under the radar AI stocks hold greater promise for delivering higher returns, and doing so within a shorter timeframe. If you are looking for an AI stock that is more promising than Alphabet Inc (NASDAQ:GOOG) but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.
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Disclosure: None. This article is originally published at Insider Monkey.
