Palantir Technologies Inc. (PLTR)

Data and AI software platforms, 4,429, 72% U.S. Read October 20, 2026 from the annual report for the period ending December 31, 2025, filed February 17, 2026. Ranked 67 of the 174 Technology companies read so far, by the share within reach now.

The filing states 4,429 full-time employees, 72% in the United States, of one software business with nothing counted by function, so one software pattern carries the workforce.

The figures on this page come from the company's own annual report and from BLS staffing patterns for its industries, never from a roster. They are estimates with a stated method. Nothing here says what the company will do: within reach is not a forecast of jobs lost or of savings.

What follows from the reading

Share of working time within reach of AI, on the long-run pace at four in five: 25% now, 55% at the end of 2027, 69% at the end of 2028, 75% at the end of 2030. By the patterns, the work is about 75% desk work, 23% people work and 2% body work. These are the site's industry estimates weighted by the shares below: estimates with a stated method and range, not a forecast of what the company will do. By the same patterns, at the end of 2028 about 25% of the working time stays with people (conversation, in-person and hands-on work), 58% becomes checking a model's work and 10% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

4,429 employees as of December 31, 2025 (stated). The filing states that 28% of full-time employees are employed outside of the United States.

The filing: “As of December 31, 2025, we had 4,429 full-time employees, 28% of whom are employed outside of the United States.”

The workforce as industry patterns

What the filing says about the workforce: 4,429 full-time employees, 72% in the United States; part-time employees, independent contractors and third-party personnel supplement the workforce and are not counted; a works council in France.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Software Publishers, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.

• Microsoft (MSFT, 223,000 employees)25% now, 69% by 2028
• Oracle (ORCL, 141,000 employees)26% now, 69% by 2028
• Salesforce, Inc. (CRM, 83,334 employees)25% now, 69% by 2028
• Uber Technologies, Inc. (UBER, 34,000 employees)29% now, 67% by 2028
• DoorDash, Inc. (DASH, 31,400 employees)29% now, 67% by 2028
• Adobe Inc. (ADBE, 31,360 employees)25% now, 69% by 2028
• ServiceNow, Inc. (NOW, 29,187 employees)25% now, 69% by 2028
• Synopsys, Inc. (SNPS, 28,000 employees)25% now, 69% by 2028

What the filing says about AI

53 sentences in the filing name AI. The filing describes AIP, its generative AI platform that connects large language models with its software for building AI agents and automations, deployed since 2023 across commercial and government customers.

• “Forward-looking statements contained in this Annual Report on Form 10-K include, but are not limited to, statements about: our expectations regarding financial performance and liquidity, including but not limited to our expectations regarding revenue, cost of revenue, operating expenses, stock-based compensation, our ability to maintain future profitability, and cash flows; our ability to succe...”
• “AIP is our generative artificial intelligence ("AI") platform, which provides secure connectivity to third-party-provided large language models ("LLMs"), a development toolchain for building AI-powered agents and automations, an array of AI-enabled end user applications, a broad evaluations framework for governing AI workflows in production, and more.”
• “In 2023, we began deploying our newest offering, AIP, which is designed for customers across the commercial and government sectors, enabling them to derive value from recent breakthroughs in AI via the combination of our existing software platforms with generative AI models, including LLMs.”
• “We believe AIP uniquely allows users to connect LLMs and other AI with their data and operations to facilitate decision-making within the legal, ethical, and security constraints that they require.”
• “The Ontology has continuously evolved over time, serving as the heart of our platforms by activating data and analytics inside operations, enabling real-time connectivity between data, analytics, and operational teams, as well as AI.”

Its annual reports, year by year

Sentences naming AI in each annual report, counted by one rule, beside the median report in the Index that year. Each count links its filing. Every company, by year and sector

• Fiscal 202110median 0
• Fiscal 202211median 0
• Fiscal 202332median 1
• Fiscal 202444median 4
• Fiscal 202553median 10

Headcount by filing year

As reported in each year's annual report, with the filing. A year marked not read had no figure the reading could take from the report's text.

Limits of this reading

• Part-time employees, independent contractors and third-party personnel are engaged and not counted (rule 8).

Source: the company's annual report on EDGAR, accession 0001321655-26-000011, the filing. Read by Claude Fable 5.1 under rubric version 1, by the method. A company can write to info@stratussc.com to have its reading checked against its filing.