nvidia, amd and google Updates

The artificial intelligence sector is experiencing significant activity, marked by both government initiatives and substantial corporate investments. The US government recently launched Project Genesis, led by President Donald Trump, signaling a national push to advance AI development and consequently increasing demand for AI-related investments. This initiative underscores the strategic importance of AI across various industries. In the crucial AI chip market, Micron Technology stands out, with its stock surging an impressive 180 percent this year, even outperforming major AI chipmakers like Nvidia and AMD. Micron is making a substantial investment of $9.6 billion in Japan, specifically at its Hiroshima facility, to boost advanced AI memory chip production. The company projects robust financial growth, expecting revenue to reach $53.6 billion and earnings to hit $13.6 billion by 2028. Meanwhile, Nvidia maintains its dominant position, holding 92 percent of the data center chip market, with Taiwan Semiconductor manufacturing most of these advanced AI chips, accounting for 71 percent of the global foundry market. Google, through its parent company Alphabet, released its Gemini 3 AI model, which leverages its custom Tensor Processing Unit (TPU) chips. Major tech giants are actively building out their AI capabilities and infrastructure. Amazon's AWS is constructing large AI chip clusters in collaboration with Anthropic. Similarly, Microsoft is partnering with OpenAI to develop custom AI chips specifically for its Azure cloud platform. This intense focus on specialized hardware highlights the competitive drive to power advanced AI models and services. Beyond hardware, AI security is also a growing area of investment. Sweet Security recently secured $75 million in Series B funding, bringing its total to $120 million, to expand its Runtime CNAPP and AI security platform globally. The company has seen a sixfold increase in annual recurring revenue and a tenfold rise in enterprise customers, launching new features to protect the entire AI lifecycle. Other AI startups are also attracting significant capital: Harmonic raised $100 million for its AI reasoning system, Black Forest Labs secured $300 million for its FLUX visual intelligence platform, SF Compute received $40 million for a GPU rental marketplace, and Model ML raised $75 million for AI workflow automation in financial services. Mixx Technologies also secured $33 million to develop optical interconnect hardware aimed at speeding up data transfer between GPUs and reducing energy use in AI data centers. The extensive investments in AI are having tangible financial impacts. Australian private software companies, for example, are seeing their profits drop due to large AI spending, with workplace software company Deputy reporting a fall in after-tax profit from $2.72 million to $1.15 million in fiscal year 2025. In the broader financial markets, investors like Columbia Threadneedle are shifting towards US mortgage-backed securities, anticipating a surge in tech bond sales—expected to exceed $800 billion in 2026—driven by AI data center funding. This shift reflects concerns over high valuations in corporate bonds. Some analysts also suggest considering shorting certain AI-related stocks like Palantir, due to its high valuation, Super Micro Computer, facing lower profit margins, and Oracle, whose AI partnerships may not meet revenue expectations.

Key Takeaways

• Micron Technology's stock surged 180% this year, outperforming Nvidia and AMD, driven by strong AI memory chip demand.
• Micron is investing $9.6 billion in Japan to expand its advanced AI memory chip production, projecting $53.6 billion in revenue and $13.6 billion in earnings by 2028.
• Nvidia holds 92% of the data center AI chip market, while Taiwan Semiconductor manufactures most AI chips, accounting for 71% of the global foundry market.
• The US government launched Project Genesis to advance AI development, signaling increased demand for AI investments.
• Alphabet (Google) released its Gemini 3 AI model, utilizing its custom Tensor Processing Unit (TPU) chips.
• Amazon's AWS is building large AI chip clusters with Anthropic, and Microsoft is partnering with OpenAI for custom AI chips for Azure.
• Sweet Security raised $75 million in Series B funding ($120 million total) to expand its AI security platform, reporting a sixfold revenue increase.
• Several AI startups secured significant funding, including Harmonic ($100M), Black Forest Labs ($300M), SF Compute ($40M), Model ML ($75M), and Mixx Technologies ($33M).
• Australian tech companies are experiencing profit drops due to substantial AI investments, exemplified by Deputy's after-tax profit falling to $1.15 million in FY2025.
• Investors are shifting to mortgage bonds due to high corporate bond valuations, anticipating over $800 billion in tech bond sales by 2026 for AI data center funding.

Micron Stock Soars 180 Percent on AI Memory Demand

Micron Technology stock has surged 180 percent this year, outperforming AI chipmakers like Nvidia and AMD. Wall Street analysts are very optimistic, with Morgan Stanley raising its price target to $325 due to strong demand for AI memory chips. Micron is investing $9.6 billion in Japan to boost its AI memory chip production. The company expects to report its fiscal 2026 first-quarter earnings on December 17.

Micron Invests 9.6 Billion Dollars in Japan for AI Chips

Micron Technology is investing $9.6 billion in a new chip plant in Japan to expand its advanced memory production. This major investment, announced in November 2025, aims to meet the growing demand for AI-driven memory chips. The Hiroshima facility will help Micron strengthen its global competitive position. The company also projects its revenue to reach $53.6 billion and earnings to hit $13.6 billion by 2028.

Top 5 AI Stocks to Consider After Project Genesis Launch

The US government launched Project Genesis, an initiative to develop advanced AI, signaling increased demand for AI investments. Alphabet, Google's parent company, released its Gemini 3 AI model, trained on its own Tensor Processing Unit chips. Nvidia remains a leader in AI chip technology, holding 92 percent of the data center chip market. Taiwan Semiconductor, the world's top chip manufacturer, produces most AI chips. Amazon is also a key player, operating AWS and building large AI chip clusters with Anthropic.

Five Leading AI Stocks to Watch After Project Genesis

President Donald Trump launched Project Genesis, a new US government initiative to advance AI development. Alphabet, Google's parent company, recently released its Gemini 3 AI model, which uses its custom Tensor Processing Unit chips. Nvidia leads the AI chip market for data centers, holding about 92 percent of the share. Taiwan Semiconductor manufactures most of these advanced AI chips, accounting for 71 percent of the global foundry market. Amazon's AWS is building large AI chip clusters, and Microsoft is partnering with OpenAI to develop custom AI chips for its Azure platform.

Sweet Security Raises 75 Million Dollars for AI Cloud Protection

Sweet Security announced it raised $75 million in Series B funding, bringing its total funding to $120 million. This investment will help the company expand its Runtime CNAPP and AI security platform worldwide. Sweet Security has experienced significant growth, with a sixfold increase in annual recurring revenue and a tenfold rise in enterprise customers. The company also launched new AI security features to protect AI models, agents, and the full AI lifecycle. Their patented technology offers real-time detection to stop complex attacks in cloud and AI environments.

Investors Fund AI Startups for Core Capabilities

Investors are pouring new funds into several AI startups, focusing on core AI capabilities. Harmonic raised $100 million for its AI system designed for more reliable reasoning. Black Forest Labs, a German startup, secured $300 million for its FLUX visual intelligence platform, which understands and creates visual content. SF Compute received $40 million to build a marketplace for renting GPUs, making AI infrastructure more flexible. Model ML, based in New York and London, raised $75 million for AI workflow automation in financial services. Additionally, China's Moonshot AI is seeking hundreds of millions in new financing for its large language models.

Australian Tech Companies See Profits Drop Due to AI Spending

Australia's top private software companies are making large investments in artificial intelligence. These significant investments are affecting their financial results. For instance, workplace software company Deputy reported a drop in its after-tax profit. Its profit fell from $2.72 million to $1.15 million during the 2025 financial year.

Three AI Stocks to Short if Market Weakens

This article suggests three AI-related stocks that investors might consider shorting if the artificial intelligence market slows down. Palantir has a very high valuation, trading at over 200 times its earnings, which concerns some experts like Michael Burry. Super Micro Computer, known for its liquid cooling technology for servers, is experiencing lower profit margins due to increased costs and strong competition. Oracle's AI partnerships, including one with OpenAI, may not bring in as much money as expected.

Mixx Technologies Secures 33 Million Dollars for Optical Computing

Mixx Technologies secured $33 million in new funding to advance its optical interconnect hardware for AI and high-performance computing. The company aims to speed up data transfer between GPUs and reduce energy use in AI data centers. Led by the ICM HPQC Fund, this investment will help Mixx expand its operations across the US, India, and Asia. Mixx plans to grow its team from 25 to over 75 employees and establish manufacturing in Taiwan by January 2026. Founders Vivek Raghuraman and Rebecca K Schaevitz launched the California-based company in 2023.

Investors Turn to Mortgage Bonds Amid AI Tech Debt Surge

Investors, including Columbia Threadneedle, are shifting funds into US mortgage-backed securities to avoid high valuations in corporate bonds. A large increase in tech bond sales, driven by AI data center funding, is expected to push US investment-grade issuance over $800 billion in 2026. Mortgage bonds are predicted to offer strong returns next year, with only a small increase in supply and higher demand. While corporate bonds are currently very expensive, mortgage bonds offer a relatively better value. However, risks such as interest rate volatility and potential inflation still exist.

Sources

• Micron's Meteoric Year Leaves Nvidia, Other AI Darlings Behind — But Retail Traders Aren't Buying The Hype Yet
• Micron Technology (MU) Makes $9.6B Japan Bet as AI Demand Rises – What’s Next for Growth?
• What Are the 5 Top Artificial Intelligence (AI) Stocks to Buy Right Now?
• What Are the 5 Top Artificial Intelligence (AI) Stocks to Buy Right Now?
• Sweet Security Announces $75M Series B and Unveils the First Unified Runtime CNAPP for Cloud and AI Security
• Investors Renew Funding for Core AI Capabilities
• AI spending hits bottom line at local tech stars
• If This AI Theme Really Deteriorates, These Are the 3 Stocks to Short
• Mixx Technologies’ funding $33M boosts optical computing push
• AI Bond Deluge Pushes Some Investors to Seek Shelter in MBS