Amazon launches Claude Code on Bedrock as Snowflake battles Databricks for AI data layer control

Investors are increasingly looking at the Roundhill Memory ETF as a diversified alternative to individual stocks like Sandisk, which has surged over 557% in 2026 and surpassed $1,500 per share. While Sandisk leads the charge, the ETF includes Micron Technology, SK Hynix, and Samsung Electronics to spread risk across the memory sector critical for AI systems.

In the broader tech landscape, Vanguard's flagship technology ETF notably excludes major AI players like Amazon, Alphabet, and Meta Platforms due to sector classification, potentially leaving investors without access to key cloud infrastructure. Meanwhile, Amazon admits its internal AI coding tool, Kiro, is not competitive enough, leading the company to allow employees to use external tools like Claude Code and Codex via its Bedrock platform.

Competitive dynamics are intensifying as Snowflake and Databricks battle for control over the enterprise AI data layer. Databricks, valued at $134 billion, holds a strong narrative as an AI-native platform, while Snowflake, with $4.47 billion in fiscal 2026 revenue, faces pressure to prove its AI products can match that valuation. Conversely, Meta is struggling after failing to dominate the metaverse and AI sectors, seeing a drop in user numbers for the first time since tracking began.

Other developments include Uber utilizing its human drivers to collect real-world data for autonomous vehicle training, bypassing the high cost of deploying robotaxis. In healthcare and youth sectors, the Colorado Senate has approved new legislation limiting AI usage to address ethical concerns. Additionally, cybersecurity firms like Zscaler and SentinelOne are positioned to profit from rising AI-related security risks, while Blackstone launches a new division, Blackstone N1, to focus exclusively on AI and technology investments.

Key Takeaways

['The Roundhill Memory ETF offers a diversified alternative to Sandisk stock, holding Micron Technology, SK Hynix, and Samsung Electronics.', 'Sandisk stock has risen over 557% in 2026 and recently surpassed $1,500 per share.', "Vanguard's flagship technology ETF excludes Amazon, Alphabet, and Meta Platforms due to sector classification differences.", 'Amazon admitted its internal AI coding tool, Kiro, is not competitive enough and now allows employees to use Claude Code and Codex.', 'Snowflake and Databricks are competing for control over the data layer needed for enterprise artificial intelligence.', 'Databricks is valued at $134 billion with a revenue run-rate of $5.4 billion, while Snowflake reported $4.47 billion in fiscal 2026 product revenue.', 'Meta faces a decline after failing to establish dominance in the metaverse and AI sectors, with user numbers dropping for the first time.', 'Uber plans to use sensors on driver cars to gather real-world data for training AI models for autonomous vehicles.', 'The Colorado Senate approved new legislation to regulate AI use in healthcare settings and issues involving youth.', 'Blackstone is launching a new division called Blackstone N1 to focus exclusively on investing in artificial intelligence and technology companies.']

Investors Should Consider AI Memory ETF Over Sandisk Stock

Sandisk stock has risen over 557% in 2026 and recently surpassed $1,500 per share. While this growth is impressive, the high price limits diversification for many individual investors. Experts suggest the Roundhill Memory ETF as a better alternative for capturing the AI memory boom. This fund includes companies like Micron Technology, SK Hynix, Samsung Electronics, and Sandisk. It offers a lower-cost way to invest in the expanding demand for data storage driven by artificial intelligence.

Roundhill Memory ETF Offers Diversified AI Storage Exposure

Memory and storage are becoming critical bottlenecks in artificial intelligence systems alongside fast processors. Sandisk is a leader in this space, but its stock price has created a barrier for many investors. The Roundhill Memory ETF provides a diversified solution by holding multiple companies in the memory sector. Core holdings include Micron Technology, SK Hynix, Samsung Electronics, and Sandisk. This passively managed fund allows investors to benefit from AI growth without the risk of a single stock.

Roundhill Memory ETF Is a Safer Bet Than Sandisk Stock

Artificial intelligence requires massive amounts of data storage, making memory chips a key investment area. Sandisk has seen huge gains this year, but such rapid rises often lead to sharp corrections. The Roundhill Memory ETF offers a more stable way to invest in this growing industry. It holds major players like Micron Technology, SK Hynix, and Samsung Electronics alongside Sandisk. Investors can access the same AI growth story with better diversification and lower costs.

Roundhill Memory ETF Provides Low-Cost AI Storage Access

The demand for memory and storage is driving the next phase of the artificial intelligence revolution. Sandisk is a top performer, but its high stock price limits portfolio diversification for most people. The Roundhill Memory ETF offers an affordable alternative with a global mix of memory companies. Its main holdings include Micron Technology, SK Hynix, Samsung Electronics, and Sandisk. This fund lets investors participate in the AI boom while managing risk through diversification.

Vanguard Tech ETF Misses Key AI Companies Like Amazon

Vanguard's flagship technology ETF does not include Amazon, Alphabet, or Meta Platforms in its top holdings. These three companies are missing because they are classified under different sectors based on their main revenue sources. However, they are essential to the artificial intelligence ecosystem as major cloud providers and AI developers. Without them, an investor misses out on critical infrastructure and innovation in the AI field. The Nasdaq-100 ETF is suggested as a better option for those seeking broad AI exposure.

Snowflake and SoundHound AI Are Top Picks After Recent Drop

A recent market sell-off has created buying opportunities for two artificial intelligence stocks: Snowflake and SoundHound AI. Snowflake serves over 13,000 customers and processes billions of queries daily for AI applications. Analysts expect its revenue to grow 25% annually through 2029. SoundHound AI focuses on speech recognition for restaurants and cars, with revenue rising fivefold since 2022. Both companies face challenges but show strong potential for long-term growth.

Snowflake and SoundHound AI Could Recover From Recent Losses

Snowflake and SoundHound AI are two technology companies that have recently lost value but may be poised for a comeback. Snowflake is a cloud data company with a large customer base and strong innovation track record. SoundHound AI specializes in AI speech recognition and has expanded into the automotive industry. Both firms have faced difficulties but maintain potential for recovery in the coming market cycle.

Cybersecurity Stocks Will Profit From AI Security Risks

Bank of America analysts believe cybersecurity companies will benefit from the risks associated with artificial intelligence. As AI adoption grows, so do new cyber threats and data risks that businesses must protect against. The bank maintained its positive ratings on cybersecurity firms despite lowering some price targets. Companies like Zscaler, SailPoint, and SentinelOne face slower growth and competition but remain important in the sector. AI is also creating new opportunities for content delivery network firms.

Uber Plans to Use Driver Cars to Gather AI Training Data

Uber wants to use its human drivers to collect data for training artificial intelligence models for autonomous vehicles. Instead of buying its own robotaxis, the company will use sensors on driver cars to gather real-world data. Uber's chief technology officer stated that data access is the main bottleneck for developing self-driving cars. This strategy allows Uber to collect diverse driving scenarios without the high cost of deploying thousands of autonomous vehicles. However, this move may eventually impact the jobs of the very drivers providing the data.

Meta Faces Decline After Failed Metaverse Pivot and AI Struggles

Meta, formerly Facebook, is facing a difficult period after failing to establish dominance in the metaverse and artificial intelligence sectors. Recent earnings showed a drop in user numbers for the first time since the company began tracking them. The company's feeds are filled with ads and low-quality content, leading to growing consumer disaffection. Analyst Julia Angwin compares Meta's current state to the decline of old internet giants like Yahoo and AOL. Despite spending heavily on AI, Meta lags behind competitors and struggles to regain its cultural relevance.

Colorado Senate Approves Limits on AI in Healthcare and Youth

The Colorado Senate has passed new legislation to regulate the use of artificial intelligence in specific areas. The law places restrictions on how AI can be used in healthcare settings and issues involving youth. This legislative action aims to address potential risks and ethical concerns associated with AI technology in sensitive sectors.

Amazon Admits Its AI Coding Tool Is Not Good Enough

Amazon recently admitted that its internal AI coding tool, Kiro, is not competitive enough for its own employees to use. The company previously pushed staff to use Kiro over third-party tools but has now reversed course. Amazon is now allowing employees to use competitor tools like Claude Code and Codex through its Bedrock platform. This decision highlights the intense competition in the AI space and the difficulty of keeping up with external innovations. Despite this shift, 83 percent of engineers still primarily use Kiro.

Snowflake and Databricks Are Fighting Over AI Data Control

Snowflake and Databricks are competing for control over the data layer needed for enterprise artificial intelligence. Databricks is a private company valued at $134 billion with a revenue run-rate of $5.4 billion. Snowflake is a public company with $4.47 billion in fiscal 2026 product revenue. Investors are valuing Databricks much higher because it has a stronger narrative as an AI-native platform. Snowflake faces pressure to prove its AI products can drive future revenue growth to match Databricks' valuation.

Crypto Analyst Miles Deutscher Unveils AI Trading Tool

Crypto analyst Miles Deutscher has released a tutorial on using AI to build trading indicators for the cryptocurrency market. His method combines natural language prompts with Pine Script V6 to create signals on TradingView. This approach reportedly generated returns of 190 percent, 95 percent, and 85 percent on specific buy signals. The tool allows retail traders to access strategies similar to those used by quantitative funds without needing advanced coding skills.

Blackstone Creates New Division for AI and Technology Investments

Blackstone, the world's largest alternative asset manager, is launching a new division called Blackstone N1. This unit will focus exclusively on investing in artificial intelligence and technology companies. The division will be led by Jas Khaira and will be based in San Francisco. CEO Steve Schwarzman and President Jon Gray stated that AI is transforming every business within the firm. This reorganization reflects the growing importance of AI in Blackstone's investment strategy and earnings narrative.

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 Artificial Intelligence Machine Learning Deep Learning Natural Language Processing Computer Vision Robotics Autonomous Vehicles Self-Driving Cars Data Storage Memory Chips Sandisk Roundhill Memory ETF Micron Technology SK Hynix Samsung Electronics Snowflake SoundHound AI Cybersecurity Zscaler SailPoint SentinelOne Uber Driverless Cars AI Training Data Meta Metaverse Facebook Colorado Senate AI Regulation Healthcare Youth Amazon AI Coding Tool Kiro Databricks AI Data Control Crypto Miles Deutscher AI Trading Tool Blackstone AI Investments Technology Investments

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