Goldman Says AI Agents Could Boost Chips and Cloud

That is why the story reaches well beyond Silicon Valley. Consumer agents could change how brands buy advertising, how retailers capture demand, how travel platforms handle discovery and how search engines route traffic. They also raise the value of the infrastructure behind them — from data centers to accelerators — because more autonomous software means more inference, more compute and more integration with enterprise systems.

The market is already pricing that direction. Nvidia shares have climbed to $227.38, well above their 50-day moving average of $214.40 and the 200-day average of $198.25, after rebounding from a late-summer pullback. Microsoft ended at $501.61, also above its 50-day average of $466.54 and 200-day average of $430.15, showing investors still want exposure to the AI build-out despite volatile trading this year.

Goldman’s thesis also fits a broader industry shift that is starting to show up in real-world deployments rather than only demos. Wayve’s production agreement with Mercedes-Benz to integrate AI driver technology underscores how AI agents are moving into operational settings where software takes decisions, not just prompts. That transition is important for corporate spending because it suggests AI budgets are moving from experimentation to workflow redesign, a more durable source of demand for cloud, semiconductor and platform vendors.

For investors, the bull case is straightforward: if agents can execute tasks reliably, they create a larger addressable market for AI infrastructure and a new revenue stream for companies that own the customer relationship. The bear case is equally clear: consumer agents could compress margins at search and advertising businesses, intensify competition among platform owners and invite regulatory scrutiny over privacy, accountability and market power.

Goldman’s research implies the winners will be companies that control both the interface and the underlying compute, while losers may include businesses that depend on manual clicks, page views and middleman fees. The next catalyst will be whether major consumer platforms can prove that AI agents can drive transactions at scale without sacrificing trust, speed or economics.