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    No Mercy / No Malice: Searching

    enMarch 02, 2024
    Why is Alphabet considered undervalued by the market?
    How does Google's search monopoly impact its profits?
    What has hindered Google's response in the AI market?
    What technology did Google's researchers pioneer in 2017?
    How might Gemini's user data benefit its market position?

    Podcast Summary

    • Google's dominance in search business and financial strength overlooked due to slow response in AI marketGoogle's success in search generates high profits, but its slow response in AI market has led to a low PE ratio, potentially due to the innovator's dilemma

      Alphabet, the parent company of Google, is considered undervalued by the market despite its dominance in the search business and significant cash reserves. However, its failure to effectively compete in the AI market has led to this perception. Google's monopoly on search generates high profits, which are reinvested in free apps and services to protect its core business. Yet, Alphabet's stock has a low PE ratio compared to its peers. This situation may be a result of the innovator's dilemma, where successful companies can become hamstrung by their own success. Google, once an innovator, offered simpler search results and targeted advertising, attracting users and advertisers alike. As competitors struggled to catch up, Google continued to iterate and innovate. However, in the rapidly evolving AI market, Google has been slow to respond, leaving it playing catch-up to companies like Meta. Despite these challenges, Alphabet's strong financial position makes it a potential comeback story in 2024.

    • Market leaders can fall behind on disruptive technologiesMarket leaders prioritizing reliability and quality over innovation create opportunities for smaller companies to innovate, potentially leaving the market leader behind

      Market leaders, like Google and Kodak, can become vulnerable when they fail to adapt to disruptive technologies, even if those technologies initially offer lower quality or less value to their core customers. Market leaders often prioritize reliability and quality over innovation, which creates an opportunity for smaller, less established companies to innovate on the fringes of the industry. This innovation can lead to a steep improvement in the technology, leaving the market leader behind. Kodak's failure to fully embrace digital photography despite its early development is a classic example. The company's focus on film and its core customers, who had no use for digital, kept it from capitalizing on the digital revolution. The lesson for Alphabet and other market leaders is to recognize the potential of disruptive technologies early on and invest in them, even if they initially offer less value to their core customers. Failure to do so can result in being left behind as the technology improves and gains momentum.

    • Google's Dominance Threatened by Generative AIGoogle, once a pioneer in generative AI, is now facing challenges from competitors due to limited application of transformer model and failed chatbot launches, risking billions in losses and potential industry disruption

      Google's dominance in the tech industry is being challenged by the very technology it helped develop but failed to fully capitalize on – generative AI. Google's researchers pioneered the transformer model with the Attention is All You Need paper in 2017. However, Google limited the application of this technology to its search product, leaving room for competitors like OpenAI, which launched ChatGPT in 2022, filling the gap in the market. Google's fumbled attempts to enter the chatbot market, such as Bard and Gemini, have resulted in significant financial losses and public ridicule. The race is on to see which company will reach the inflection point first and dominate the generative AI market. With billions of dollars in investments pouring in, the defectors from Google are making significant strides. The potential for disruption is immense, and the giants of the industry, like Alphabet, are at risk of being left behind. Activist investors are already circling, waiting for an opportunity to shake things up and invigorate management. The era of generative AI is just beginning, and the stakes are high.

    • Alphabet's Data is its Deepest MoatAlphabet's control over vast amounts of user data from various products fuels its AI capabilities, giving it a significant edge in the tech industry

      Alphabet, the parent company of Google, holds an immense competitive advantage due to its vast trove of data, which serves as its deepest moat and a bridge to the future. This data, derived from various Google products like search, YouTube, Gmail, Google Maps, and Google Calendar, is a valuable currency in the age of artificial intelligence (AI). Alphabet's control over this data allows it to build customized models and anticipate users' needs, creating a significant edge over competitors. While the company's insular management team and complex stock structure may pose challenges to activist investors, the influence they gain is based on the strength of their arguments and plans, not the size of their stake. As the world becomes increasingly data-driven, Alphabet's ability to leverage its unique data assets could be a game-changer in the AI race.

    • Gemini's Data: A Game-Changer in AIGemini's vast user data can transform it from a defensive social media platform into an offensive player in the AI industry. The real value lies in data utilization, and Gemini's data may prove valuable in the shifting focus towards Language Model Machines.

      Gemini, a social media platform, not only provides information about upcoming events and who will be attending, but it also has a vast amount of data about its users. This data can be used to make life easier and more efficient, turning a defensive tool into an offensive one. While companies like OpenAI and Microsoft are focusing on flashy AI applications, the real value lies in the data and its utilization. Apple, the only other company with similar data, has struggled with AI initiatives like Siri. As the market shifts its focus to the content fed into Language Model Machines (LLMs), Gemini's data may prove to be valuable, sitting on what could be the most active cash volcanoes in the AI industry. The future remains uncertain, but it's clear that the power of data in AI is a game-changer.

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