Top 10 AI stocks to watch in June 2026

[FinnHalliday]

Anthropic filed for IPO at a $965B valuation this week. OpenAI's listing is expected later in 2026. SpaceX is listing June 12. The AI investment landscape is moving fast. The Morningstar Global Next Generation AI Index is tracking the sector. Here are ten publicly traded AI names getting significant attention in June 2026.

Best AI Stocks to Buy in 2026: 10 Top Picks & How to Invest | The Motley Fool

https://www.fool.com/investing/stock-market/market-sectors/information-technology/ai-stocks/

• NVDA (Nvidia) - Still the AI infrastructure king, Blackwell GPU architecture, NIM software ecosystem, DoD $9.69B contract via Microsoft
• META (Meta Platforms) - Down 4% YTD but cheap at under 20x forward earnings, revenue up 33% last quarter, Llama open source AI strategy paying off
• MSFT (Microsoft) - Build 2026 agent push across Office 365, Azure AI Foundry, GitHub Copilot, and Windows Copilot Runtime
• GOOGL (Alphabet) - Gemini Ultra embedded in Workspace, Veo 3.1 leading AI video, DeepMind research output remains best in class
• ORCL (Oracle) - $300B OpenAI compute deal, cloud infrastructure growing rapidly, $50B capex for AI data centres
• PLTR (Palantir) - Government and enterprise AI contracts, AIP platform for operational AI, strong US DoD relationships
• NBIS (Nebius) - GPU cloud infrastructure pure-play, high upside but execution risk, strong AI compute demand
• CRM (Salesforce) - Agentforce AI platform embedded in enterprise CRM, early mover on autonomous business agents
• SNOW (Snowflake) - Cortex AI and Snowflake Intelligence letting enterprises build AI on proprietary data
• AMD - MI300X GPU challenging Nvidia in AI training, open software stack, data centre and PC AI integration

[Brittle Ronan]

Nvidia being up only 15% in 2026 while quantum names are up 69% is a funny inversion. The Blackwell upgrade cycle is still the single most important event in AI infrastructure this year

[Weary Renegade]

Meta at under 20x forward earnings with 33% revenue growth is genuinely cheap. The market is punishing it for not being as flashy as the pure AI names

[Myles95]

Palantir is the one that benefits most from AI moving into actual government operational use. They have the contracts and the clearances that nobody else has

[DotEXE]

Oracle quietly becoming one of the most important AI infrastructure companies through the OpenAI deal is underappreciated. The $300B compute contract alone is transformative

[QueueDay]

Nebius is the one I keep an eye on. If hyperscaler GPU demand stays red hot a pure-play GPU cloud provider makes sense. The risk is it stays a small float with big swings

[Sequence87]

Snowflake letting companies run AI on their own data without it leaving their cloud environment is exactly what enterprise buyers want. The data gravity argument is real