“Turning tokens into cash flow” begins to dominate AI investments! “AI application myth” Palantir (PLTR.US) is in the limelight and wins the US military's TITAN order

The Zhitong Finance App learned that Palantir Technologies (PLTR.US), an AI application leader focusing on “AI+ data analysis,” announced on Monday that the US Army Systems has granted a main contract agreement to its wholly-owned subsidiary Palantir USG to produce and deliver 8 TITAN ground station systems driven by cutting-edge artificial intelligence technology. Palantir's stock price surged more than 50% in August and surged nearly 30% on a single trading day after the announcement of the results, highlighting that global technology stocks have shown a very clear relative rotation trend of “single-line AI-themed transactions from AI computing power infrastructure to monetization and spread to AI application software”.

Palantir's second-quarter revenue increased 93% year over year to US$1.94 billion, with US commercial and government revenue increasing by 149% and 90%, respectively, which is enough proof that commercialization of artificial intelligence has moved from pilot to large-scale deployment. This time, the US Army ordered 8 TITAN systems — including 4 advanced and 4 basic systems, which can be described as further extending this logic to the field of defense and military industry.

Palantir's stock price has increased by more than 130% over the past 2025, which can be called a “bull market myth in the AI application software sector,” yet many analysts believe that the stock still has room to rise. Even analysts at Wall Street giant Bank of America gave a target share price of 255 US dollars within 12 months, ranking as the highest target price on Wall Street.

In August, artificial intelligence trading in US stocks clearly spread from “AI computing power infrastructure leading the way” to “AI application software accelerates performance”: the US stock software sector fund iShares Software ETF (US stock ETF code: IGV) rose 16% and XSW rose nearly 15%. The S&P 500 index rose less than 3% during the same period. Palantir also surged more than 50%, and surged nearly 30% in a single trading day after announcing results, showing that global funding is gradually beginning to extend the AI valuation anchor from “the list of how many GPUs it has and computing power benefiting from the AI infrastructure boom” to “whether tokens can be converted into actual revenue, profit, and verifiable productivity.”

As global capital is spreading from GPU/HBM/AI data center core hardware bottlenecks in the first phase of AI investment linked to AI computing power infrastructure to second-stage application layer winners that can turn tokens into stronger enterprise-side productivity, revenue, and cash flow. In the future, valuation differentiation is likely to be even more intense: software companies with exclusive data, workflow entry, closed loop execution of agent agent workflows, and clear ROI will be re-evaluated, while traditional SaaS, which is prone to commercialization of basic model functions, may continue to be pressured.

Titan order boosts Palantir's “app monetization premium”

The US Army has awarded its wholly-owned subsidiary Palantir USG a master contract to manufacture and deliver 8 TITAN ground station systems. According to information, the latest order covers 4 sets of advanced and 4 basic TITAN systems, as well as technology integration and deployment work for combat forces.

TITAN is the US Army's next generation ground station powered by artificial intelligence and machine learning. It aims to integrate data from space, air, altitude, and ground sensors for target indication and mission support.

As the main contractor, Palantir will oversee the manufacture, delivery and software of these systems.

The award propels TITAN from prototype development to production; at the same time, Palantir will continue to support existing cutting-edge combat systems already deployed to the US Army.

Palantir integrates space, air, altitude, and ground sensor data into target indication and mission support capabilities, leading the TITAN project from prototype development to production, and strengthening its strategic position as a core operating layer of “data decision-making and final action” for defense and military grade artificial intelligence.

TITAN, or “tactical intelligence target acquisition access node,” is a next-generation artificial intelligence and machine learning enabled ground station built by the US Army for multi-domain combat: it combines satellite, aircraft, aerial platforms, drones, and ground sensor data, uses Palantir's exclusive AI application software to complete data integration, threat identification, and target positioning, and then transmits executable intelligence to mission command and remote accurate firepower systems; therefore, TITAN itself is not a weapon, but a battlefield intelligence and target indication center connected to “sensor — decision — shooter execution”.

“AI application myth” Palantir's long-term bullish logic seems to be getting stronger

After the results were announced, Citibank raised the target price of Palantir from $200 to $245 and maintained a “buy” rating; Deutsche Bank upgraded the rating from “hold” to “buy”, with a target price of $200; Goldman Sachs raised the target price from $183 to $204 but remained “neutral”; Morgan Stanley maintained a “level with the market” but gave it a target price of $205; Bank of America continued to firmly adhere to the highest Wall Street target price of $255 and the positive “buy” rating. As of the US stock market close on Tuesday, Palantir's stock price hovered around $179.

Wall Street analysts are not completely consistent in their ratings, but the core bullish judgments converge — that is, Palantir is one of the few software companies that have proven to be able to transform enterprise and government artificial intelligence needs into production-level value, and their ontology, data governance, and task workflows pose clear barriers; the main difference is not the quality of growth, but how much future growth has been anticipated by current valuations.

The underlying reason why Palantir has become one of the biggest winners in this AI boom is that it does not mainly sell the big model itself, but rather controls the “last mile” from model to actual business value, and Palantir's AI demand has gone from proof of concept to large-scale deployment of contracts, cash flow, and actual production and operation.

Palantir's AIP artificial intelligence application platform is responsible for connecting to different large models, constructing agents, and evaluating production performance. Foundry is responsible for opening up enterprise data, analysis, and business processes, and Apollo ensures continuous deployment and upgrading of systems in the cloud, local, edge devices, and even battlefield environments; core ontology maps the enterprise's data, business logic, executable actions, and security permissions into a dynamic “organizational digital twin”, enabling AI to access inventory, production, supply chain, medical, energy or military systems, and is subject to strict permission restrictions Next, actually execute the decision.

In other words, the General Big Model is responsible for “understanding and reasoning,” and Palantir is responsible for making the model understand the real world unique to a certain organization and turn the answers into auditable and executable production actions — this explains why models such as Anthropic and OpenAI have increased their ability to not necessarily replace Palantir, but may instead expand their enterprise AI orchestration, governance, and deployment market. Palantir can be described as controlling the “last mile” from model to actual business value.

The valuation anchor for the big wave of AI investment that began at the end of 2022 was gradually upgraded from “capital expenditure scale” to “capital return efficiency”, and this process is being accelerated — that is, the first phase of the AI investment frenzy fully focuses on “who takes the lead in deploying and benefiting from building the largest GPU data center”, while the current second phase focuses on “who can turn tokens into sustainable cash flow”.

The super-bull market surrounding AI is gradually moving from “buying chip stocks” to “buying AI workflows,” that is, the market is currently repricing the main AI investment line from “who benefits from continuous AI capital expenditure” to “who can quickly transform computing power into ARR, profit margin, and free cash flow”. This latest rotation is conducive to software companies that embed key enterprise processes and focus on AI application platforms with high renewal rates, data barriers, and intelligent monetization capabilities.