Nvidia's Q2 earnings report, due on August 26, will provide a crucial snapshot of the AI trade's health. The chipmaker's stock has risen over 200% in the past year, driven by growing demand for AI and machine learning chips. Analysts warn that the trade may be due for a correction.
SK Hynix has announced a nearly $29 billion share buyback plan after its stock plunged over 50% in five weeks. The company's fundamentals remain strong, supported by AI-driven memory demand. This move aims to stabilize the stock and provide shareholder returns.
Thomson Reuters has spent $40 million to build its own AI model, Thomson, on Chinese open-source tech. The model aims to reduce AI costs and provide specialized training for CoCounsel Legal product. Meanwhile, Nvidia plans to spend billions to compete against China's open-source AI models and its own American customers.
Nvidia's CEO, Jensen Huang, will be in the spotlight as the company reports its Q2 earnings. The company's profit report and guidance will impact the broader tech sector. Nvidia will invest $1 billion in AI startup Poolside and pay $6 billion to license its technology.
Other developments in the AI space include TSMC, Samsung, and SK Hynix driving over half of the gains in emerging markets due to AI-driven demand. The three stocks make up 26.7% of Morningstar's Emerging Markets Target Market Exposure Index. Analysts warn of extreme concentration and potential losses if the AI trade reverses.
Key Takeaways
• Nvidia's Q2 earnings report will provide a snapshot of the AI trade's health on August 26. • SK Hynix has announced a $29 billion share buyback plan. • Thomson Reuters spent $40 million to build its own AI model. • Nvidia plans to invest $1 billion in AI startup Poolside and pay $6 billion to license its technology. • TSMC, Samsung, and SK Hynix drive over half of the gains in emerging markets due to AI-driven demand. • Nvidia's Q2 earnings report and CEO Jensen Huang's commentary will shape the AI trade. • The AI trade has seen skepticism and discounted valuations. • Evaluating Large Language Models for production is complex and goes beyond standard benchmarks. • Dynamic ontology frameworks like OaK aim to externalize domain concepts and relations for LLM agents. • Octonous launches Agent Skills for reusable AI.Nvidia's Q2 earnings test AI trade health
Nvidia will report its Q2 earnings on August 26, providing a snapshot of the AI trade's health. The chipmaker's stock has risen over 200% in the past year, driven by growing demand for AI and machine learning chips. Analysts warn that the trade may be due for a correction. Strong earnings could signal a healthy AI trade, while weak earnings could indicate a correction. Nvidia's Q2 earnings will be closely watched.
Kristin Milchanowski on Nvidia earnings and AI
BMO's Kristin Milchanowski discusses Nvidia's Q2 earnings and the AI trade on CNBC's 'Squawk on the Street'. She shares her insights on the health of the AI trade ahead of Nvidia's earnings report.
One number drives AI stock rally
Nvidia's Q2 earnings could shape the next AI stock rally. The company's results may impact the AI trade, which has seen skepticism and discounted valuations. Investors are watching for strong earnings to sustain the trade.
AI chip stocks drive emerging markets
TSMC, Samsung, and SK Hynix drive over half of the gains in emerging markets due to AI-driven demand. The three stocks make up 26.7% of Morningstar's Emerging Markets Target Market Exposure Index. Analysts warn of extreme concentration and potential losses if the AI trade reverses.
SK Hynix buys back $29B in shares
SK Hynix announced a nearly $29 billion share buyback plan after its stock plunged over 50% in five weeks. The company's fundamentals remain strong, supported by AI-driven memory demand. The buyback plan aims to stabilize the stock and provide shareholder returns.
Evaluating Large Language Models
Evaluating LLMs for production is complex and goes beyond standard benchmarks. Companies like GitHub use rigorous evaluation strategies to assess LLM performance in real-world scenarios. The goal is to improve security and developer experience.
Dynamic ontology for LLM agents
OaK is a framework that dynamically constructs and refines task-oriented ontologies for LLM agents. It aims to externalize domain concepts and relations, making knowledge retrieval and multi-step decision-making more explicit and reliable.
Octonous adds agent skills for reusable AI
Octonous launches Agent Skills, a Markdown-based library for centralizing AI agent instructions and context. It aims to eliminate repetitive setup and provide consistent reference points for automated tasks and live conversations.
Thomson Reuters builds AI model
Thomson Reuters spent $40 million to build its own AI model, Thomson, on Chinese open-source tech. The model aims to reduce AI costs and provide specialized training for CoCounsel Legal product.
Nvidia earnings put Jensen Huang in spotlight
Nvidia's Q2 earnings report and CEO Jensen Huang's commentary will shape the AI trade. The company's profit report and guidance will impact the broader tech sector.
Nvidia plans to make its own AI models
Nvidia plans to spend billions to compete against China's open-source AI models and its own American customers. The company will invest $1 billion in AI startup Poolside and pay $6 billion to license its technology.
Delta CEO on AI and profits
Delta CEO Ed Bastian says AI could transform the airline industry and lead to higher profits. He emphasizes the importance of human involvement in AI decision-making.
Prediction market arbitrage opportunities
StartupHub.ai's engine identified 7 live prediction market arbitrage opportunities as of August 25, 2026. These opportunities allow users to lock in guaranteed payouts across different venues.
Sources
- Nvidia's Q2 earnings to test resurgent AI trade
- BMO's Kristin Milchanowski on Nvidia earnings and the AI trade
- The Entire AI Trade Hinges On One Number
- TSMC, Samsung, SKHY: 3 AI Chip Stocks Driving Emerging Markets — And The Risk They Pose
- SK Hynix's $29B Buyback: How Long Will the AI Memory Rally Last?
- LLM Evaluation: Beyond Benchmarks
- Toward Effective and Reliable LLM Agents via Dynamic Ontology
- Octonous Adds Agent Skills for Reusable AI Context
- Thomson Reuters built its own AI model on Chinese open-source tech to slash AI costs
- Nvidia Earnings Put Jensen Huang—and the AI Trade—Back in the Spotlight
- Top AI chipmaker looks to make its own AI models
- Delta CEO says AI could mean higher profits. Is it good for travelers?
- Prediction Market Arbitrage: 7 Opportunities Live Today, August 25, 2026
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