Liberty Energy Inc. (LBRT)

Hydraulic fracturing services, one pattern. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 2, 2026. Ranked 30 of the 32 Energy companies read so far, by the share within reach now.

Liberty Energy’s approximately 5,800 employees run hydraulic fracturing fleets in the United States, Canada and Australia, read as one oilfield services pattern.

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: 15% now, 21% at the end of 2027, 24% at the end of 2028, 25% at the end of 2030. By the patterns, the work is about 25% desk work, 12% people work and 64% 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 65% of the working time stays with people (conversation, in-person and hands-on work), 27% becomes checking a model's work and 7% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

5,800 employees as of December 31, 2025 (stated). The filing counts no employees by country; operations are primarily in the United States and Canada with smaller operations in Australia.

The filing: “As of December 31, 2025, we had approximately 5,800 employees and no unionized labor.”

The workforce as industry patterns

What the filing says about the workforce: Approximately 5,800 employees, no unionized labor; crews promoted from within to run new fleets; a Ban the Box hiring initiative.

Companies read with the same leading pattern

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

• Slb N.V. (SLB, 109,000 employees)16% now, 29% by 2028
• Baker Hughes Company (BKR, 56,000 employees)17% now, 31% by 2028
• Halliburton Company (HAL, 46,000 employees)15% now, 24% by 2028
• TechnipFMC plc (FTI, 23,089 employees)17% now, 29% by 2028
• Weatherford International plc (WFRD, 16,700 employees)16% now, 25% by 2028
• Helmerich & Payne, Inc. (HP, 15,700 employees)15% now, 24% by 2028
• Nabors Industries Ltd. (NBR, 13,900 employees)16% now, 25% by 2028
• Oceaneering International, Inc. (OII, 11,100 employees)17% now, 33% by 2028

What the filing says about AI

6 sentences in the filing name AI. The filing names AI six times as demand: data center power for AI workloads served by its distributed power business.

• “LPI's technology platform for distributed power generation includes (a) the Forte SM solution, which uses a modular, standardized construction approach for generation sites to reduce the risk of project execution, (b) the Tempo SM power quality management system to manage high-amplitude, cyclical load variations associated with artificial intelligence workloads and (c) when a grid interconnecti...”
• “Further, the expanding use of artificial intelligence has led to the expansion of existing data centers and plans for new data centers.”
• “In addition, the sustainability of the favorable supply-demand dynamic in the power sector depends on multiple factors, including factors relating to technological advancements such as continued demand growth for generative AI computing applications, cloud computing, the level and pace at which the power industry can invest in power infrastructure and the pace of continued electrification-drive...”
• “In addition, the AI infrastructure segment is rapidly developing.”
• “LPI's technology platform for distributed power generation includes (a) the Forte SM solution, which uses a modular, standardized construction approach for generation sites to reduce the risk of project execution, (b) the Tempo SM power quality management system to manage high-amplitude, cyclical load variations associated with artificial intelligence workloads and (c) 37 when a grid interconne...”

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 20210median 0
• Fiscal 20220median 0
• Fiscal 20230median 1
• Fiscal 20240median 4
• Fiscal 20256median 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

• No count by segment; one oilfield services pattern by description, the distributed power business inside it.

Source: the company's annual report on EDGAR, accession 0001694028-26-000006, 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.