google launches nvidia while openai expands its platform

Key Takeaways

• Google is in talks with Marvell Technology to develop two new AI chips: a memory processing unit and a new TPU, aiming to compete with Nvidia and boost cloud revenue.
• Nvidia CEO Jensen Huang noted missing early investments in OpenAI and Anthropic, now focusing on a broad portfolio of AI startups and suppliers like Marvell and Lumentum.
• Meta plans to cut its workforce by about 10% next month, shifting investment towards AI capabilities to improve efficiency and productivity.
• Billionaire investor Ray Dalio's Bridgewater Associates increased investments in NVIDIA, Lam Research, Salesforce, and Alphabet (Google), signaling confidence in AI growth.
• Quanta Services targets a $2.40 trillion AI infrastructure market by 2030, projecting 15% to 20% annual growth.
• Semiconductor equipment maker ASML expects to supply at least 60 low-NA EUV systems this year and 80 next year, forecasting 2026 revenue between 36 billion and 40 billion euros.
• Simulations Plus collaborates with three major pharmaceutical companies, using AI for modeling to reduce drug development time and cost.
• Many CEOs report no current impact of AI on employment or productivity, despite expectations for future gains.
• Red Access emphasizes increasing security risks with AI adoption, focusing on protecting user sessions, data, and end users.
• Taiwan Semiconductor's revenue forecast shows strong performance driven by AI demand.

Google and Marvell Discuss New AI Chip Designs

Google is reportedly in talks with Marvell Technology to create two new chips for running AI models more efficiently. One chip would be a memory processing unit to work with Google's existing tensor processing units (TPUs). The other would be a new TPU designed specifically for AI models. This move is part of Google's effort to offer alternatives to Nvidia's GPUs and boost its cloud revenue. The companies aim to finalize the memory processing unit design soon.

Google Explores AI Chip Partnership With Marvell

Alphabet, Google's parent company, is in discussions with Marvell Technologies about developing new artificial intelligence chips. This potential partnership aims to enhance AI inferencing, which involves processing AI workloads. Analysts see AI accelerator chip sales as a significant growth area for Google. This collaboration could help Google compete more effectively in the AI chip market.

Meta Plans Workforce Cuts Amid AI Investment Shift

Meta is reportedly planning to cut its workforce by about 10% next month as part of a larger restructuring. This move highlights a trend among major tech companies to reduce traditional staff and increase investment in AI capabilities. The goal is to improve efficiency and boost productivity through automation and AI systems. This shift suggests a focus on reinvesting savings into building stronger AI advantages rather than just cutting costs.

Quanta Services Targets AI Infrastructure Growth

Quanta Services is positioning itself as a key provider for AI-driven infrastructure, identifying a potential market of $2.40 trillion by 2030. The company expects to exceed its 2026 earnings per share target and achieve 15% to 20% annual growth through 2030. This growth is supported by new utility contracts with NiSource and AEP. Quanta Services aims to leverage demand from data centers, grid modernization, and industrial reshoring to drive its business forward.

Simulations Plus Uses AI for Drug Development

Simulations Plus is collaborating with three major pharmaceutical companies on AI-enabled modeling for drug development. The company uses AI to help scientists improve efficiency in their modeling workflows, aiming to reduce the time and cost of creating new drugs. Following its acquisition of Cognigen, Simulations Plus enhanced its AI capabilities in population pharmacokinetic/pharmacodynamic modeling. Their AI platform is designed to make drug development faster, cheaper, and more effective.

CEOs Report No AI Impact on Jobs or Productivity

Many CEOs report that artificial intelligence has not yet impacted employment or productivity, echoing a paradox seen with earlier technologies. Despite companies mentioning AI in earnings calls and expecting future gains, current macroeconomic data shows little effect. Economists note that AI adoption can sometimes be counterproductive. While some predict future productivity surges, the actual impact remains uncertain and may depend on how companies implement the technology.

Ray Dalio Invests Heavily in Four AI Companies

Billionaire investor Ray Dalio's firm, Bridgewater Associates, is significantly increasing its investments in four key AI-related companies. These include NVIDIA, a leader in AI chips, and Lam Research, which provides equipment for semiconductor manufacturing. Bridgewater also holds positions in Salesforce for enterprise AI software and Alphabet for cloud computing and AI services like Gemini. These investments reflect a strong conviction in the long-term growth potential of artificial intelligence.

Trader Claude's Market Update: Crypto Fear, Oil Drop, AI Bets

Trader Claude's portfolio is performing well, with a new bet on WTI crude oil closing below $85 this week. The market shows extreme fear in crypto, with Bitcoin's Fear & Greed Index at 21, despite a strong performance in Taiwan Semiconductor's revenue forecast due to AI demand. Brent crude oil dropped over 11% after Iran reopened the Strait of Hormuz. Existing positions in NVIDIA, Bitcoin, Ethereum, and SPDR Gold Shares are being held, with specific targets and stop-loss levels in place.

Red Access Focuses on AI Security Risks

Red Access is highlighting the increasing security risks associated with the rapid adoption of artificial intelligence. The company emphasizes protecting user sessions, data, and end users as a way to manage AI-related uncertainty. This focus suggests Red Access is targeting AI-aware cybersecurity needs, potentially expanding its market reach. They aim to offer solutions that balance innovation with risk management and user experience.

Nvidia Invests in AI Startups and Suppliers

Nvidia CEO Jensen Huang acknowledges missing early investment opportunities in companies like OpenAI and Anthropic. Nvidia is now adopting a strategy of investing in a broad portfolio of AI startups, rather than backing a single winner. The company is also investing in key suppliers like Marvell and Lumentum. Huang has also discussed US-China AI policy and semiconductor supply chain security.

ASML Raises Outlook Amid Strong AI Demand

Semiconductor equipment maker ASML has provided an optimistic outlook, expecting to supply at least 60 low-NA EUV systems this year and 80 next year. While revenue increased 13% year over year to 8.8 billion euros, investors had hoped for higher numbers. ASML forecasts 2026 revenue between 36 billion and 40 billion euros. Despite a high stock valuation, ASML remains a crucial player in AI infrastructure.

Sources

• Google in Talks With Marvell to Build New AI Chips for Inference, the Information Reports
• Google, Marvell In AI Chip Talks As Nvidia Competition Heats Up
• Workforce Restructuring and AI Investment Trend Highlighted Around Meta
• How Quanta’s AI Infrastructure Push and New Utility Deals At Quanta Services (PWR) Has Changed Its Investment Story
• Here’s Simulations Plus Inc (SLP)’s Vision for AI in Drug Development
• Thousands of CEOs admit AI had no impact on employment or productivity—and it has economists resurrecting a paradox from 40 years ago
• Billionaire Ray Dalio Is Betting Big on These 4 AI Stocks
• Trader Claude's: Apr 19 — Extreme Fear in Crypto, Oil Crashes, New Prediction Bet
• Red Access Emphasizes AI-Driven Security Challenges and Risk-Mitigation Focus
• Nvidia’s AI Foundation Portfolio Links Equity Bets And Policy Risks
• Is ASML Stock a Buy After It Raises Its Outlook on AI Demand?