Dauch Corp. (DCH)

Axle and driveline maker. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 13, 2026. Ranked 62 of the 104 Consumer Cyclical companies read so far, by the share within reach now.

18,000 associates before the business combination, 5,000 in the U.S. and 13,000 abroad, making axles, driveshafts and forged components, split by segment revenue since the filing counts no employees by segment.

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: 17% now, 26% at the end of 2027, 29% at the end of 2028, 30% at the end of 2030. By the patterns, the work is about 30% desk work, 14% people work and 56% 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 69% of the working time stays with people (conversation, in-person and hands-on work), 26% becomes checking a model's work and 4% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

18,000 employees as of December 31, 2025 (stated). 5,000 of 18,000 associates are employed in the U.S. and 13,000 at non-U.S. locations (stated).

The filing: “As of December 31, 2025, prior to the completion of the Business Combination, we employed approximately 18,000 associates on a global basis, of which 5,000 are employed in the U.S. and 13,000 are employed at our non-U.S. locations.”

The workforce as industry patterns

What the filing says about the workforce: About 5,000 salaried and 13,000 hourly associates; about 76% of the hourly associates (55% of all) are represented under collective bargaining agreements; the count is as of December 31, 2025, before the completion of the business combination.

Companies read with the same leading pattern

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

• Lear Corporation (LEA, 164,300 employees)16% now, 28% by 2028
• Aptiv PLC (APTV, 140,000 employees)16% now, 28% by 2028
• Adient plc (ADNT, 65,000 employees)16% now, 28% by 2028
• Autoliv, Inc. (ALV, 64,300 employees)16% now, 28% by 2028
• BorgWarner Inc. (BWA, 37,500 employees)16% now, 28% by 2028
• Dana Incorporated (DAN, 26,900 employees)17% now, 30% by 2028
• Cooper-Standard Holdings Inc. (CPS, 22,000 employees)16% now, 28% by 2028

What the filing says about AI

8 sentences in the filing name AI. The filing names AI in eight sentences, in its risk factors: cyber attacks that use advanced artificial intelligence, the potential use of artificial intelligence among the technology improvements that could offset customer price reductions, and vehicle makers' use of artificial intelligence and machine learning among their sourcing strategies.

• “Challenges such as malware, unauthorized access and cyber attacks, including those that use advanced artificial intelligence, phishing campaigns that target our associates, as well as other disruptions, continue to evolve and may surpass our current safeguards.”
• “If we are unable to offset the impact of any such price reductions through continued technology improvements, including the potential use of artificial intelligence, cost reductions or other productivity initiatives, our results of operations and financial condition could be adversely affected.”
• “These strategies include supply base consolidation, as well as insourcing, vertical integration, global sourcing by OEMs and use of artificial intelligence and machine learning.”
• “ARTIFICIAL INTELLIGENCE TRANSFORMATION OF BUSINESS Artificial intelligence (AI) has seen escalating rates of adoption, driven by increasingly sophisticated technology development and continued investment.”
• “As a result, businesses, including OEMs and their suppliers, continue to utilize this technology to identify additional applications for AI to improve efficiency, increase automation and enhance decision making.”

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 20231median 1
• Fiscal 20243median 4
• Fiscal 20258median 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

• The headcount predates the business combination completed after year end, so the next filing's count will cover a larger company.
• The filing counts no associates by segment, so the split is by segment revenue (c); most associates are outside the United States, and the patterns are applied abroad (rule 7).

Source: the company's annual report on EDGAR, accession 0001062231-26-000020, 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.