Methode Electronics, Inc. (MEI)

Automotive and industrial electrical components, 94% abroad. Read October 19, 2026 from the annual report for the period ending May 2, 2026, filed June 24, 2026. Ranked 155 of the 155 Technology companies read so far, by the share within reach now.

Methode’s approximately 6,650 employees, 94% outside the U.S., make automotive interface, lighting and power products and industrial busbars and power distribution products, split by the two segments’ revenue.

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: 16% now, 26% at the end of 2027, 30% at the end of 2028, 32% at the end of 2030. By the patterns, the work is about 32% desk work, 15% people work and 53% 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 68% 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

6,650 employees as of May 2, 2026 (stated). Approximately 93.9% of employees and contractors are outside the U.S., by the filing, so about 6% are in the U.S.

The filing: “As of May 2, 2026, our global workforce totaled approximately 6,650 employees and 263 contractors.”

The workforce as industry patterns

What the filing says about the workforce: Approximately 6,650 employees and 263 contractors, substantially all full-time, about 93.9% outside the U.S.; U.S. employees not under collective bargaining agreements, certain international employees covered by national or local labor agreements.

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
• Dauch Corp. (DCH, 18,000 employees)17% now, 29% by 2028

What the filing says about AI

5 sentences in the filing name AI. The filing names AI five times: data center demand that depends on AI investment, and its own use of AI and machine learning tools in engineering, manufacturing and finance.

• “Demand from data centers depends on many factors including the pace of investment in cloud computing, artificial intelligence ("AI") and other digital infrastructure.”
• “Additional risks for the data center market include rapid technological change, evolving standards, pricing pressure and margin compression, scalability challenges, dependence on AI investment and broader technological trends, capital intensity, and inventory risk.”
• “If we are unable, for technological or other reasons, to develop and market new products or product enhancements in a timely and cost-effective manner, our business, financial condition and results of operations could be materially adversely affected. 16 Table of Contents We also use artificial intelligence and machine learning tools internally, including in engineering, manufacturing, finance,...”
• “The use of these technologies presents risks, including the potential for inaccurate, biased or unreliable outputs, inadvertent disclosure of confidential or proprietary information, infringement of third-party intellectual property rights, security vulnerabilities, and non-compliance with evolving laws and regulations governing the development and use of artificial intelligence.”
• “If our policies and training fail to ensure that artificial intelligence tools are used within appropriate bounds, we could experience delays, reputational harm, or loss of stakeholder trust, any of which could materially adversely affect our business, financial condition and results of operations.”

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 20255median 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 263 contractors are outside the count (rule 8).
• No count by segment; the split follows the two segments’ revenue by description.

Source: the company's annual report on EDGAR, accession 0000065270-26-000031, 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.