Google has compiled its AI-related announcements from February? It feels like they're just saying, "Look how hard we're working!" But what matters isn't what they announced, but how that what actually impacts the market. Judging from this material alone, there's not enough concrete information for investors to sniff out any money. Let's just check the facts.
Looking at what Google mentions, it's mainly about adding new features based on LLMs, improving existing services, and announcing R&D achievements. The problem is that most of these announcements come with the tag "in progress" or "under development." This means there's little chance of it leading to investment returns right now.
Google has a dominant share of the search engine market, but the story is different in the AI field. Microsoft quickly took the lead by launching ChatGPT in the market through its partnership with OpenAI. Google released Bard (Gemini), but the market response has been lukewarm. Why? Google is overly cautious, maintains a closed attitude, and is trapped in the existing framework of "search."
For example, let's say Google announced that it improved search results by using RAG (Retrieval-Augmented Generation) technology. Of course, improving search quality can enhance user experience and lead to increased advertising revenue. However, RAG technology itself is already widely available in open-source form, and it's hard to see it as Google's exclusive technology. Therefore, it's difficult to secure a competitive advantage with just RAG technology improvements.
Moreover, Google lags behind its competitors in the hardware field. NVIDIA dominates the GPU market, and AMD is also accelerating the development of high-performance AI chips. Google is developing its own NPU (Neural Processing Unit), but it's still not enough to catch up with NVIDIA's GPU performance. This can lead to increased AI model learning and inference costs, which can adversely affect profitability.
Looking at similar technology trends in the past, in the early 2010s, big data technology was in the spotlight, and many companies jumped into building big data platforms. However, most companies failed to properly utilize big data and did not achieve the expected return on investment. The same is true for AI. AI technology itself is powerful, but properly utilizing it and turning it into profit is another matter.
In conclusion, Google's February AI announcement collection is just a "show-off" promotional material. Investors should not be swayed by this material and should coldly analyze how Google's AI strategy will actually affect the market. Investment value should be carefully judged through specific technical specifications, use cases, and comparative analysis with competitors. Making investment decisions based solely on this material right now would be foolish. Dig deeper. Money is not easily earned.