Goldman flags Palantir “step function” AI opportunity as PLTR nears record territory

Palantir Technologies’ shares are drawing renewed attention after Goldman Sachs suggested the company’s artificial intelligence opportunity could drive what it called a “step function change,” a framing that implies a more abrupt improvement in performance rather than a gradual one. The view comes as the stock approaches another record high, with the market-focused note highlighting that PLTR is roughly $8 away from the level.

Goldman’s argument, as summarized in a market report, points to a potential inflection period that could extend into 2027. In other words, the upside case in the note is not limited to near-term quarters, but tied to a longer runway for monetization and adoption of AI-related offerings.

The same report also frames the valuation as a risk-reward swing. It says Palantir shares are trading at a discount to its growth peers following year-to-date underperformance. That discount matters to investors because it indicates the market may already be pricing in a tougher growth path, leaving less room for sentiment-driven gains unless expectations improve.

Goldman’s “step function” language is important because it suggests the firm sees AI demand translating into results in a non-linear way. The concept is that once customers reach a threshold in deploying AI-enabled workflows, spending and performance can accelerate, potentially lifting revenue quality, margins, or both faster than analysts expect under a steady-state model.

Palantir, for its part, has positioned itself around software that helps organizations integrate data and deploy analytics and decision support. In recent years, the company has also emphasized AI capabilities and the use of its platforms to support real-world operational use cases, which is why AI-themed broker notes tend to focus on adoption curves and customer deployment velocity.

Sector context matters here: high-growth software and AI-related names often trade on expectations for scalable commercialization. When investors conclude that adoption is broadening and that AI workloads are moving from pilots to production, stocks can re-rate quickly. The report’s focus on both a record-high reference point and a valuation discount suggests Goldman believes Palantir could benefit from both expectation-setting and pricing dynamics.

Still, the market report does not provide granular details such as specific financial targets, forecast changes, or the precise metrics Goldman used to justify the “step function” characterization. It also does not outline what would have to occur operationally for the upgrade thesis to play out. For now, the key takeaway is directional: Goldman sees a meaningful AI-driven shift ahead and believes the market is not fully rewarding Palantir for it.