Goldman Sachs upgrades Palantir (PLTR.US) to "Buy" with a price target of $230, optimistic about AI growth continuing through 2027.

According to Golden Ten Data APP, Goldman Sachs has upgraded the rating of enterprise software company Palantir (PLTR.US) from "Neutral" to "Buy," citing the recent poor performance of its stock price and increased valuation attractiveness.

Goldman Sachs analyst Gabriela Borges wrote in a client report: "We are upgrading Palantir from Neutral to Buy with a 12-month price target of $230, implying about 18% upside." She pointed out that with Palantir's current run rate of approximately $8 billion in revenue and growth rate of about 100%, investors are primarily debating two questions: First, has the best part of Palantir's artificial intelligence opportunity already been realized, or is the market deep enough to support another round of upward estimates; and second, how sustainable is the company's FDE model.

Borges stated that the main conclusion from a recent series of industry conversations is that the stock is preparing for another phase of outperformance before 2027. She believes Palantir's total addressable market (TAM) may be undergoing "yet another step change," partly due to sovereign AI, customized applications, and the company's new verticalization strategy.

In addition, Borges also explained Palantir's FDE model. FDE generally refers to Forward Deployed Engineers, a model that requires a tight feedback loop between on-site teams and product teams to quickly understand client needs and deploy solutions. She believes Palantir has refined this model "almost to perfection, and it can even be automated through AI FDE."

Market participants believe Goldman Sachs's rating upgrade comes as Palantir has recently underperformed and investors are divided on the high valuations and growth sustainability of AI concept stocks. Goldman Sachs's optimistic view suggests that it believes enterprise AI demand, government contracts, and vertical industry expansion could continue to drive Palantir into a new round of growth. However, the report also implies two key risks: whether the AI opportunity has already been fully priced in, and whether the FDE model can maintain its efficiency as it scales up.