Open Text Corporation (OTEX)

Enterprise software, counted by function. Read October 19, 2026 from the annual report for the period ending June 30, 2026, filed August 6, 2026. Ranked 23 of the 70 Technology companies read so far, by the share within reach now.

A software company whose filing counts its employees by function and by region, so the software, administrative and services patterns are all counted.

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, 68% at the end of 2028, 74% at the end of 2030. By the patterns, the work is about 74% desk work, 23% people work and 3% 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 26% of the working time stays with people (conversation, in-person and hands-on work), 58% becomes checking a model's work and 9% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

19,900 employees as of June 30, 2026 (stated). The filing counts by region, not by country: 6,900 (35%) in the Americas, 4,600 (23%) in EMEA, 8,400 (42%) in Asia Pacific; 32% of fiscal 2026 revenue was in the United States.

The filing: “As of June 30, 2026, we had approximately 19,900 employees, of which approximately 6,900 or 35% are in the Americas, 4,600 or 23% are in EMEA (as defined below) and 8,400 or 42% are in Asia Pacific.”

The workforce as industry patterns

What the filing says about the workforce: About 19,900 employees in 42 countries: 6,900 in the Americas, 4,600 in EMEA, 8,400 in Asia Pacific; by function 3,900 in sales and marketing, 6,400 in product development, 3,700 in cloud services, 1,500 in professional services, 1,700 in customer support, 2,700 in general and administrative roles; research and development staff fell by 1,091 in the year; works councils or unions represent employees where customary.

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, 68% 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

100 sentences in the filing name AI. The filing's forward-looking statements rest on the evolving adoption of AI-enabled technologies by its clients, and its risk factors name the evolving use of the Internet and AI, with changing standards, competition and regulation, and competitors' use of AI and other emerging technologies.

• “The forward-looking statements contained in this report are based on certain assumptions including the following: (i) the evolving adoption of artificial intelligence (AI)-enabled technologies by our clients and the level of demand for our products and solutions; (ii) countries continuing to implement and enforce existing and additional customs and security regulations relating to the provision...”
• “Risks associated with the evolving use of the Internet and AI, including changing standards, competition and regulation and associated compliance efforts, may adversely impact our business.”
• “Current and future competitors could have a significant impact on our ability to generate future revenues and profits, including through the use of AI and other emerging technologies.”
• “AI and other machine learning technology is being integrated into some of our products, systems or solutions, which could present risks and challenges to our business, and rapid advances in AI could intensify competitive pressures, accelerate technological change and reduce demand for certain of our existing offerings.”
• “Business About OpenText Incorporated in 1991, OpenText is a leading provider of data management for enterprise 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 202117median 0
• Fiscal 202213median 0
• Fiscal 202343median 1
• Fiscal 202453median 4
• Fiscal 202565median 10
• Fiscal 2026100

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

• Pattern shares rest on the filing's function counts (a).
• The U.S. share is not stated; the Americas hold 35% of the headcount.
• Most employees are outside the United States; the patterns apply abroad because the work is the same (rule 7).

Source: the company's annual report on EDGAR, accession 0001002638-26-000068, 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.