AI Application Layer

Starting from an all-cash portfolio, I'm building a 6-stock basket of companies that put AI directly into products people and businesses pay for, rather than just companies that sell the chips. Google gets the largest position because its cloud unit is growing fast on AI demand and its Gemini AI is driving record search usage and cloud backlog, while the stock's price hasn't fully caught up to the news, making it a good value entry. Datadog and Snowflake get large weightings because both just posted their best growth quarters ever, with each surpassing $1 billion in quarterly revenue as businesses pay them to monitor and analyze the AI systems everyone else is building; their stock prices have already surged, confirming the market is starting to recognize this, so I'm buying strength here. ServiceNow is added because its 'AI Control Tower' product, which lets companies safely deploy AI agents across their workflows, is seeing explosive high-value deal growth, and its price has pulled back this year, giving a decent entry point on a name whose AI monetization is accelerating. Microsoft gets a solid position because its Azure AI business has crossed a $40 billion run-rate with strong growth, but the stock has dropped sharply over six months on capex worries, so I'm treating this pullback as a discount entry into one of the biggest real AI revenue generators. Meta rounds out the basket at a smaller weight since its AI investments are clearly boosting ad pricing and engagement, but heavy new capital spending plans have made investors nervous about near-term profits, so I'm sizing it more cautiously than the others. I avoided Salesforce, Adobe, Palantir, Uber and Shopify for now because their price trends over the past 1, 3 and 6 months have been weak, suggesting the market isn't yet convinced their AI monetization story is working.