- ANTH.PVT
- NVDA
Anthropic’s own enterprise usage data shows that its Claude Code tool now costs companies a median of about $13 per developer per active day, with most users spending under $30 per day. That’s remarkably cheap to produce the sorts of results that used to require a team of engineers and months of work. When writing software gets this inexpensive, the code itself stops being the valuable part. What’s left to fight over is what a company already owns that artificial intelligence (AI) can’t generate from scratch: proprietary data, and a position so embedded inside its customers’ operations that ripping it out becomes its own project.
Missed AI’s “Act 1”? Act 2 Could Be 14x Bigger.Most investors think they missed the AI boat because they didn’t buy Nvidia in 2005. But according to our analysts, we’re only at the end of “Act 1″—the R&D phase. “Act 2” is the global rollout.Continue »
Salesforce (NYSE: CRM) just gave investors a live look at how seriously this is being taken, rolling out a pricing model in June that charges customers $2 per resolved customer service case, and nothing if the AI agent fails, a direct acknowledgment that charging per human seat stops making sense once software does the seat’s job.
Where the moat is widening
Palantir (NASDAQ: PLTR) built its entire platform around what it calls “ontologies” — structured maps connecting a company’s data to its real-world operations, so an AI agent can understand, for example, that a specific supplier links to a specific shipping route and a specific customer order, not just scattered text. CrowdStrike (NASDAQ: CRWD) disclosed in its 2026 Threat Hunting Report that it now analyzes more than 7 trillion security events every day across its customer base, narrowing that down to roughly 14 million daily detection leads. That’s a level of telemetry scale that a competitor can’t shortcut simply by building better AI.
ServiceNow (NYSE: NOW) runs more than 100 billion workflows a year across over 8,800 enterprise customers, and a company that has spent a decade routing its information technology tickets and human resources requests through that platform isn’t likely to jump ship and start over with a new provider just because a cheaper AI tool exists somewhere else.
Here’s a dumbed-down version of why that matters for anyone putting money into <a href="https://www.fool.com/investing/stock-market/market-sectors/information-technology/ai-stocks/?utm_source=yahoo-host-full&utm_medium=feed&utm_campaign=article&referring_guid=71acf3b8-83b6-47ed-8810-4d67bc68a854″ rel=”nofollow noopener” target=”_blank”>AI stocks right now: A lot of investors are still pricing software companies as if the app or the algorithm is the hard part. It isn’t. The hard part is the years of data the incumbents possess and the painful switching costs that businesses have to pay to leave them. That’s not “I like this company because it has good technology.” It’s closer to “This company has something a rival literally cannot buy or build quickly,” which tends to be a sturdier reason to own a stock.
