Google invests 175 billion while Tesla plans robotaxis

Artificial intelligence continues to drive substantial corporate spending, with Google's parent company, Alphabet, planning to invest between $175 billion and $185 billion in AI this year. This significant outlay underscores a broader trend where the tech sector anticipates issuing over $1.5 trillion in debt to fund AI initiatives. Nvidia, a leading AI stock, has seen its shares rise approximately 47% over the past year, reflecting this robust market growth.

Nvidia is strategically expanding its market beyond selling chips to major AI hyperscalers. The company is now positioning itself as a comprehensive systems and solutions provider, exemplified by its partnership with Thermo Fisher Scientific. Together, they are developing an AI lab computing system powered by Nvidia's DGX Spark supercomputer, aiming to penetrate the life sciences industry, which spends $300 billion annually on research and development.

To finance its ambitious AI goals, Alphabet recently launched a large seven-part bond sale, including long-term bonds maturing in 2066. Approximately 40% of its AI budget will go towards building data centers and networking, with the remaining 60% allocated to high-end servers and AI chips. However, Alphabet has also outlined new risks in its annual report, including potential impacts on its advertising business and the high costs of AI infrastructure, noting concerns that generative AI might reduce internet search use.

Tesla is making a notable shift, focusing heavily on robotaxis, AI, and robotics, with a Robotaxi event scheduled for August 8, 2024. The company expects to spend $20 billion on capital expenditures for these new ventures, including a $2 billion investment in Elon Musk's xAI. Meanwhile, other AI stocks like AppLovin, with its Axon AI engine, show strong potential, outperforming competitors like Meta Platforms and Alphabet's YouTube in ad spending returns. Robinhood Markets also introduced Cortex, an AI tool for its Gold subscribers to assist with market data and trades.

Jefferies analysts recommend Snowflake, Microsoft, and ServiceNow as top software stocks poised for AI growth, citing Snowflake's data warehousing strength and Microsoft's extensive AI investments. In a notable development, OpenAI approved the first AI insurance application on ChatGPT, developed by Tuio and WaniWani, allowing users to get personalized home insurance quotes directly. This move led to sharp declines in major insurance broker stocks. Even America's oldest bank, BNY, is heavily investing in AI, spending $3.8 billion on technology and training nearly all its 48,100 employees on AI through its internal platform, Eliza.

Key Takeaways

  • Nvidia's stock has risen about 47% in the past year, as it expands beyond chip sales to become a systems and solutions provider, notably partnering with Thermo Fisher Scientific for an AI lab system in the $300 billion life sciences sector.
  • Google's parent company, Alphabet, plans to invest between $175 billion and $185 billion in AI this year, funding this through a large bond sale, with 60% allocated to high-end servers and AI chips.
  • Alphabet has identified new AI risks, including potential impacts on its advertising business and high infrastructure costs, while its Gemini large language model now has over 750 million monthly active users.
  • Tesla is shifting its focus to robotaxis, AI, and robotics, planning a Robotaxi event on August 8, 2024, and expecting to spend $20 billion on capital expenditures for these initiatives, including $2 billion for xAI.
  • AppLovin's Axon AI engine demonstrates higher returns on ad spending compared to Meta Platforms and Alphabet's YouTube, with analysts predicting 48% annual earnings growth for AppLovin.
  • Robinhood Markets launched Cortex, an AI tool for its Gold subscribers, designed to help users understand market data and execute trades, with analysts expecting 20% annual earnings growth.
  • OpenAI approved the first AI insurance application on ChatGPT, developed by Tuio and WaniWani, allowing direct personalized home insurance quotes and causing significant stock declines for major insurance brokers.
  • Jefferies analysts recommend Snowflake, Microsoft, and ServiceNow as top software stocks for AI growth, highlighting Snowflake's data warehousing and Microsoft's cloud and AI investments.
  • BNY, America's oldest bank, is investing $3.8 billion in technology, including AI, with 134 "digital employees" and extensive AI training for nearly all its 48,100 employees.
  • Artificial intelligence adoption is rapid, with 55% of Americans using generative AI weekly, a faster rate than the internet's initial adoption.

Nvidia AI stock shows strong growth potential

Nvidia is a leading AI stock with significant growth potential, as corporate spending on AI continues to rise. Google's parent company Alphabet plans to invest $175 billion in AI this year. Nvidia is expanding its market beyond selling chips to AI hyperscalers like Google. It partners with Thermo Fisher Scientific to create an AI lab computing system using its DGX Spark supercomputer. This move helps Nvidia enter the life sciences industry, which spends $300 billion annually on research. Nvidia acts as a systems and solutions provider, making it an essential partner for businesses.

Nvidia AI stock poised for further gains

Nvidia stock has risen about 47% in the past year, and AI spending shows no signs of slowing. Google's parent company Alphabet plans to spend $175 billion on AI this year. Nvidia is expanding its reach beyond just selling chips to major AI companies. It is partnering with Thermo Fisher Scientific to develop an AI lab computing system powered by its DGX Spark supercomputer. This strategy helps Nvidia enter the life sciences industry, which invests $300 billion annually in research and development. Nvidia positions itself as a systems and solutions provider, not just a chip supplier.

Nvidia AI stock shows strong future growth

Nvidia shares have increased by about 47% over the last year, driven by ongoing high spending on chips and data centers. Google's parent company Alphabet will invest at least $175 billion in AI this year. Nvidia aims to expand its market by offering advanced computing systems to various industries, not just AI hyperscalers. For example, it partners with Thermo Fisher Scientific to build an AI lab system using its DGX Spark supercomputer. This move helps Nvidia enter the life sciences sector, which spends $300 billion annually on research. Nvidia acts as a comprehensive systems and solutions provider, setting it apart from simple chip designers.

Two top AI stocks offer big investment potential

Artificial intelligence is rapidly changing technology, with 55% of Americans using generative AI weekly, much faster than the internet's adoption. Two promising AI stocks are AppLovin and Robinhood Markets. AppLovin uses its Axon AI engine to help advertisers, showing much higher returns on ad spending than competitors like Meta Platforms and Alphabet's YouTube. Analysts predict AppLovin's earnings will grow 48% annually for three years, with a target price of $771. Robinhood Markets, a trading platform popular with younger investors, launched Cortex, an AI tool for Gold subscribers. Cortex helps users understand market data and make trades. Analysts expect Robinhood's earnings to grow 20% annually for three years, with a target price of $152.

Top AI stocks AppLovin and Robinhood show promise

Artificial intelligence is a rapidly growing technology, with adoption happening much faster than the internet. Two AI stocks, AppLovin and Robinhood Markets, show significant investment potential. AppLovin's Axon AI engine helps advertisers achieve higher returns on ad spending compared to Meta Platforms and Alphabet's YouTube. Analysts expect AppLovin's earnings to grow 48% annually for three years, with a median target price of $771. Robinhood Markets offers an AI investment tool called Cortex for its Gold subscribers, which helps users make informed decisions and execute trades. Analysts predict Robinhood's earnings to grow 20% annually for three years, with a median target price of $152.

Alphabet sells bonds to fund $185 billion AI investment

Google's parent company, Alphabet, launched a large seven-part bond sale to raise money for its massive $185 billion investment in artificial intelligence. The bond offering includes long-term bonds that mature in 2066, with Alphabet offering a premium to attract investors. About 40% of the budget will go to building data centers and networking, while 60% will fund high-end servers and AI chips. This significant spending highlights a trend among tech giants, with the sector expected to issue over $1.5 trillion in debt for AI. Despite some market concerns about future profits, Alphabet's AI-driven cloud business grew 48% last quarter, and analysts rate Google stock as a Strong Buy.

Tesla shifts focus to robotaxis AI and robotics

Tesla is making a significant shift from its main car business to focus on robotaxis, AI, and robotics. The company plans to hold a Robotaxi event on August 8, 2024, and expects to spend $20 billion on capital expenditures for these new initiatives. This includes investments in AI, robotics, battery plants, and $2 billion for Elon Musk's xAI venture. Tesla aims to use its Supercharger network and vehicle fleet to support the robotaxi service. While these ambitious plans could make free cash flow negative until 2026, the long-term potential in AI and robotics could be rewarding for investors.

Jefferies recommends three software stocks for AI growth

Jefferies analysts believe that recent worries about the artificial intelligence sector are too strong, creating a good chance to buy certain software stocks. They recommend Snowflake, Microsoft, and ServiceNow as top picks. Snowflake is highlighted for its strong position in data warehousing, which can benefit from the AI boom. Microsoft is also suggested due to its large investments in AI and its leading role in cloud computing. ServiceNow is a top choice because of its powerful tools for automating business tasks, which are very important in an AI-driven world. Analysts think these companies have bright long-term futures despite current market reactions.

OpenAI approves first AI insurance app impacting brokers

Insurance broker stocks fell sharply on Monday after OpenAI approved the first AI insurance application on ChatGPT. This app, created by Spanish digital insurer Tuio and powered by WaniWani, lets ChatGPT users get personalized home insurance quotes through conversation. This marks the first time an insurance provider can offer products and quotes directly within an AI platform, removing traditional steps like forms and calls. Major brokers like Aon, Marsh McLennan, and Willis Towers Watson saw significant stock declines. Some investors questioned why commercial insurance brokers were so affected when the app focuses on home insurance.

Alphabet raises funds and warns of new AI risks

Alphabet, Google's parent company, has outlined new risks related to artificial intelligence in its annual report. These risks include potential effects on its advertising business and the high costs of building AI infrastructure. To help fund its AI goals, Alphabet plans to raise $20 billion through a bond sale, including a 100-year bond. CEO Sundar Pichai stated the company focuses on long-term AI development, with capital expenditures expected to increase in 2024. Google's AI strategy centers on Gemini, its large language model, which now has over 750 million monthly active users. The company also noted concerns that generative AI might reduce internet search use, potentially affecting its dominant ad business.

Investing in AI stocks now for future growth

The artificial intelligence revolution is a major shift that will reshape industries and create significant value. Investors looking to put $10,000 into AI stocks should consider more than just big tech companies like NVIDIA, Microsoft, and Alphabet. It is smart to invest in companies that provide the basic infrastructure for AI, such as chipmakers and cloud service providers. Also, look at businesses developing AI software and algorithms, including those focused on machine learning or computer vision. Diversifying investments across different parts of the AI landscape is important to manage risk. Thorough research into a company's finances and competitive edge is crucial for making good investment choices in this dynamic market.

America's oldest bank BNY invests heavily in AI

BNY, America's oldest bank, is investing billions in technology, including 134 "digital employees" that handle repetitive tasks. In 2025, BNY spent $3.8 billion on technology, which is 19% of its revenue and the highest among its peers. Goldman Sachs predicts AI could boost BNY's earnings per share by 19%. The bank's headcount has decreased, but executives state this is not yet directly due to AI, viewing AI as a way to "unlock capacity" for growth. BNY also established an AI Hub and developed an internal platform called Eliza, providing extensive AI training to almost all its 48,100 employees.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

Artificial Intelligence AI Stocks Nvidia Alphabet Google Investment Growth Potential Corporate Spending AI Chips Supercomputers Life Sciences Thermo Fisher Scientific AppLovin Robinhood Markets Generative AI Advertising Financial Technology Robotaxis Robotics Tesla xAI Data Centers Cloud Computing Snowflake Microsoft ServiceNow Business Automation OpenAI Insurance ChatGPT BNY Mellon Large Language Models AI Infrastructure AI Software Machine Learning Computer Vision Investment Strategy AI Risks Capital Expenditures Earnings Growth Market Analysis Digital Transformation

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