Nvidia expands networking as AMD ships Rocky Linux

The artificial intelligence market continues to show dynamic growth, with several companies positioned for significant expansion. While Nvidia remains a leader in AI infrastructure, with potential for its stock to climb 150% by 2028 if AI spending reaches projected levels like $1.4 trillion by 2030, other firms are also making strong moves. Nvidia is expanding its offerings beyond GPUs into networking, CPUs, DPUs, and its software ecosystem.

Advanced Micro Devices (AMD), Broadcom, and Micron Technology are among those predicted to see greater stock growth than Nvidia by 2028. AMD is leveraging its data center CPU business, agentic AI, and key partnerships, including a collaboration with CIQ to release an optimized Rocky Linux distribution for AI and high-performance computing on AMD CPUs and Instinct GPUs. Broadcom is benefiting from custom AI chip development for major players like Alphabet (Google) and Meta Platforms, while Micron's business is stabilizing due to the extensive AI data center buildout.

In other developments, Deccan AI, founded in October 2024, recently secured $25 million in Series A funding led by A91 Partners. This funding will enhance its AI model training and refinement services, which include coding improvement and agent capabilities. Deccan AI already serves major clients such as Google DeepMind and Snowflake, utilizing a network of over 1 million contributors, primarily based in India.

The broader impact of AI is also evident in the tech industry, where companies like Microsoft, Amazon, and Salesforce are reducing their workforce while increasing AI investments, aiming for greater efficiency and improved profit margins. Furthermore, AI trading protocols like Taurox IO are gaining institutional interest, offering stakers 80% of profits from competing AI trading agents and generating real revenue through trading fees. Jefferies also anticipates a significant economic impact from humanoid robots in the next decade, driven by AI advancements, with companies like Tesla and semiconductor firm Analog Devices, which partners with Nvidia, poised to benefit.

Key Takeaways

  • Nvidia's stock could increase by 150% by 2028 if AI infrastructure spending continues to grow, potentially reaching $1.4 trillion by 2030.
  • Broadcom, AMD, and Micron Technology are projected to achieve greater stock growth than Nvidia by 2028.
  • Broadcom is developing custom AI chips for companies like Alphabet (Google) and Meta Platforms.
  • AMD and CIQ have partnered to release an open-source Rocky Linux distribution optimized for AI and high-performance computing on AMD CPUs and Instinct GPUs.
  • Deccan AI raised $25 million in Series A funding to enhance its AI model training services, serving clients such as Google DeepMind and Snowflake.
  • Major tech companies like Microsoft, Amazon, and Salesforce are reducing their workforce while increasing AI investments to boost efficiency and profit margins.
  • AI trading protocols, such as Taurox IO, are attracting institutional interest by offering performance-based profit sharing and generating real revenue from trading fees.
  • Canadian companies Kinaxis and Celestica are showing strong growth in the AI sector, with Celestica partnering with Google and AMD.
  • Jefferies predicts humanoid robots will significantly impact the economy, with companies like Tesla and Nvidia partner Analog Devices positioned to benefit.
  • The competition for AI talent is intense, with high salaries for top specialists, though broader AI adoption faces challenges like data management.

Three AI Stocks Poised to Outshine Nvidia by 2028

While Nvidia leads the AI infrastructure market, other companies like Broadcom, AMD, and Micron Technology are expected to see greater stock growth by 2028. Broadcom is set to benefit from custom AI chips, helping giants like Alphabet and Meta. AMD is positioned for growth with partnerships and its data center CPU business. Micron's business is becoming more stable due to the AI data center buildout, making these three stocks strong contenders in the AI boom.

Nvidia Stock Could Soar 150% by 2028 With Continued AI Spending

Nvidia's stock has the potential to increase by 150% in the coming years, but this growth depends on sustained AI infrastructure spending. The company is evolving beyond just GPUs, expanding into networking, CPUs, and DPUs, and strengthening its software ecosystem. If AI infrastructure investments continue to rise, reaching projected levels like $1.4 trillion by 2030, Nvidia could see significant earnings growth, potentially reaching $450 per share by the end of 2028.

Top 3 AI Stocks Expected to Outperform Nvidia by 2028

As the AI infrastructure market grows, Broadcom, AMD, and Micron Technology are predicted to offer more significant stock gains than Nvidia by 2028. Broadcom is capitalizing on custom AI chips for companies like Alphabet and Meta Platforms. AMD is set to benefit from agentic AI boosting its data center CPU business and key partnerships. Micron's business is becoming less cyclical as it supports the AI data center buildout, making these companies attractive investments.

AI Trading Protocols Gain Traction as Crypto Fear Index Drops

AI trading protocols are attracting institutional interest, even as the Bitcoin fear index hits 14. Taurox IO, a decentralized hedge fund protocol, allows global users to submit AI trading agents that compete based on performance. This meritocratic system aims to scale trading capabilities by pooling capital and rewarding successful agents. Unlike speculative tokens, AI trading protocols like Taurox IO generate real revenue through trading fees, with a portion burned to reduce supply, making them potentially more resilient during market downturns.

AI Trading Offers Higher Returns Than Cardano Staking Amid Market Downturn

While Cardano (ADA) staking offers a 3% yield, its token has fallen 80%, resulting in negative real returns. In contrast, the Taurox IO decentralized hedge fund protocol offers stakers 80% of profits generated by competing AI trading agents. Taurox IO has raised over $560,000 in its presale, with Phase 3 tokens priced at $0.015. The protocol's model focuses on performance-based AI trading and profit sharing, aiming for significant capital appreciation compared to the declining value of ADA.

Deccan AI Secures $25M for AI Model Training Services

Deccan AI has raised $25 million in a Series A funding round led by A91 Partners to enhance its AI model training and refinement services. The company, founded in October 2024, provides expertise in areas like coding improvement, agent capabilities, and training AI to interact with external tools. Deccan AI serves major clients like Google DeepMind and Snowflake, leveraging a large network of over 1 million contributors, primarily based in India. This funding will support their growth in providing high-quality, domain-specific data crucial for AI development.

Canadian AI Stocks Kinaxis and Celestica Show Strong Growth Potential

Canadian companies Kinaxis and Celestica are showing significant promise in the AI sector. Kinaxis, focused on supply chain management for large enterprises, has seen its stock climb with strong deal growth and ongoing AI investment. Celestica, a key player in AI infrastructure, has experienced substantial stock gains due to its focus on advanced technology solutions and partnerships with tech giants like Google and AMD. Both companies are well-positioned for future growth in the expanding AI market.

Big Tech Uses AI to Cut Jobs and Increase Profits

Major technology companies like Microsoft, Amazon, and Salesforce are reducing their workforce while increasing investments in artificial intelligence. This trend suggests a move towards more efficient operations and lower costs, benefiting investors through improved profit margins. AI is enabling companies to handle more tasks with fewer employees, particularly in routine and support roles. While new AI revenue streams are still developing, cost savings from AI implementation are already boosting company performance.

Jefferies Identifies Stocks Set to Profit from Humanoid Robot Boom

Jefferies predicts that humanoid robots will significantly impact the economy in the next decade, driven by an aging population, fewer manufacturing job applicants, and advancements in AI and semiconductors. Companies like Tesla, which is developing its Optimus robot, are highlighted. The firm also points to material suppliers like Freeport McMoRan, Alcoa, and Nucor, and semiconductor company Analog Devices, which partners with Nvidia, as potential beneficiaries of increased demand for robot components and AI integration.

AMD and CIQ Launch Optimized Linux for AI Workloads

Advanced Micro Devices (AMD) and CIQ have partnered to release an open-source Rocky Linux distribution optimized for AI and high-performance computing (HPC). This new offering is designed for data centers using AMD CPUs, Instinct GPUs, and the ROCm software platform. The collaboration aims to provide a free, enterprise-grade Linux environment with full support, simplifying the adoption of AMD-based infrastructure for AI applications. This move enhances AMD's ecosystem and strengthens its position in the competitive AI market.

New AI Investing App Dravo Launches from Successful ETF Team

Draco Evolution, the firm behind the successful Draco AI ETF (DRAI) which outperformed the S&P 500 in 2025, is launching its new retail investing app, Dravo. The app is currently in beta testing ahead of a wider release. The Draco AI ETF achieved significant returns, demonstrating the firm's expertise in identifying promising AI investments. Dravo aims to bring this successful investment strategy to individual investors.

AI Talent Race Reveals Market Shifts Beyond High Salaries

The intense competition for AI talent, marked by high salaries, reveals significant shifts in the technology market. While top specialists command extraordinary compensation due to tangible productivity gains, the broader impact of AI on the mainstream tech workforce is a key concern. Experts note that AI adoption within companies is slower than expected, often bottlenecked by data management challenges. This dynamic suggests a future where AI drives value through productivity and efficiency, reshaping expectations for workers and the pace of technological integration.

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.

AI Stocks Nvidia Broadcom AMD Micron Technology AI Infrastructure Custom AI Chips Data Center CPUs AI Trading Protocols Decentralized Hedge Fund AI Model Training Deccan AI AI Talent Humanoid Robots Tesla Semiconductors AI ETFs Investment Apps Supply Chain Management AI Solutions Big Tech Job Reduction Profit Margins Rocky Linux High-Performance Computing ROCm Linux Distribution

Comments

Loading...