Schneider Electric AI Strategy: Powering the AI Boom, Training Every Employee
How Schneider Electric approaches AI: energy and industrial intelligence, its AI at Scale program, AI training for 99% of employees, and the Cognite and PTC deals. Updated November 2026.
Energy technology company: electrical distribution and energy management, industrial automation, data center power and cooling, and industrial software through AVEVA
AI at Scale, a named AI strategy launched in November 2021 and set out in dedicated releases and on the AI Hub page. The 2025 annual report also places it in the corporate strategy, with a Responsible AI Strategy.
Read the company sourceWhere Schneider Electric Is Going with AI
Schneider Electric sells the power and cooling behind AI, and it is buying the software to bring AI into industry. Its strategy since December 2025 is to lead what it calls energy and industrial intelligence, and in 2026 it agreed software deals worth about $26 billion. Inside, its AI at Scale program has put almost every employee through AI training. What Schneider does not report is how much AI earns or saves in total.
Schneider has run a named AI strategy since 2021. It launched AI at Scale with its first Chief AI Officer and a global AI Hub in November 2021, to drive AI at scale for customers and inside the company. A year later it reported progress against that strategy, and its AI Hub page sets out the principles: AI for good, agile teams and ethical AI. Chief AI Officer Philippe Rambach sums up the goal: “The first thing we want to achieve with AI is to make sure that we deploy AI at scale” (CDO Magazine, March 2026).
AI is also part of the corporate strategy. At its December 2025 capital markets day, Schneider set out to take “Energy Tech to the Next Level of Intelligence” and said it would announce its first energy and industrial foundation model. CEO Olivier Blum said: “We are taking Schneider to the next level of Energy & Industrial Intelligence.” The 2025 Universal Registration Document puts AI at Scale in its operational excellence pillar.
The chairman frames AI as both a market and a tool. Jean-Pascal Tricoire wrote to shareholders: “AI needs energy, and energy increasingly needs AI – not only in data centers, but wherever energy is generated, distributed, and consumed” (March 2026).
The focus has four parts.
- Data centers: power, cooling and control systems for AI data centers, developed with NVIDIA (Semafor, March 2026)
- Industrial software: AVEVA, plus agreed deals to buy Cognite and PTC, which Blum called “an important step forward in our ambition to lead the new era of energy and industrial intelligence” (October 2026)
- Products: AI built into its EcoStruxure systems, including agentic tools for manufacturing built with Microsoft (April 2026)
- Own operations: AI at Scale, which the company says “reimagines end-to-end workflows with AI at the core” (2025 Universal Registration Document)
Effort is split evenly. Rambach said: “Half our efforts are toward customers. The other half is focused on increasing employee efficiency” (March 2026).
What It Takes: An AI Hub, Training for Everyone and $26 Billion of Software
AI has a dedicated owner. Philippe Rambach has been Chief AI Officer since November 2021, the company’s first, and is a Senior Vice President (European Commission, September 2026). He leads the AI Hub, which works with every business and function in a hub-and-spoke model (2022 release). The Hub has three main locations, in India, France and the US, and Schneider says its AI team has tripled since 2021 (AI Hub page). On the board, the Digital Committee covers the use of AI in internal processes and in Schneider’s offers (2025 Universal Registration Document).
Schneider is buying the software layer.
- Cognite: agreed in June 2026 for $3.1 billion in cash; its industrial data and AI platform will be combined with AVEVA (Schneider release)
- PTC: agreed in October 2026 for $22.6 billion; with PTC, software would be about 24% of revenue (Constellation Research)
- Target: software and services at about 25% of revenue by 2030 (December 2025)
Every employee is trained. By the end of 2025, more than 142,000 employees, 99.1% of the workforce, had completed “AI for ALL Awareness” training, and AI training is part of Schneider’s mandatory SE Essentials modules (2025 Universal Registration Document). The same report says:
- 51,800 employees went on to further AI training
- more than 16,000 took part in hands-on Copilot and “Promptathon” sessions
- the AI Upskilling@Scale program runs alongside a broader digital skills program
The curriculum, built with Coursera, has four tiers: all employees, senior managers, people who build AI software, and transformation leaders. On senior managers, Rambach said: “They need to lead by example” (CIO Dive, October 2026).
Schneider treats adoption as the hard part. Rambach said: “Actually, 80–90% is change management, training the people deploying software” (CDO Magazine, April 2026), the problem at the heart of AI change management. A compliance tool for marketing teams went unused until it was built into the documentation tool they already used. Employees have had an internal generative AI assistant, Jo-Chat GPT, since 2023 (November 2023).
The workforce is stable. The average workforce was about 163,000 in 2025, up 3% on a comparable basis. Schneider expects AI to shift job roles and skills and says it needs to invest in upskilling and reskilling (2025 Universal Registration Document). The sources reviewed do not link AI to job cuts.
Governance is published in detail. Schneider’s Responsible AI Strategy is aligned with the NIST AI Risk Management Framework and has six principles: sustainable AI, accuracy and robustness, human-centric and fair, data governance and privacy, transparency and explainability, and accountability. A Responsible AI policy covers every AI use case from idea to production, overseen by a quarterly C-level steering committee (2025 Universal Registration Document).
AI fluency, coded against the Lead with AI Fluency Matrix (September 2026 edition):
- Fluency floor: Level 1 (Chatting), backed by mandatory training. 99.1% of employees completed AI awareness training in 2025, the highest completion rate in the index so far. Completion shows exposure, not daily use, and Schneider has published no usage figures.
- Highest level evidenced: Level 3 (Integrating), company-claimed. AI is built into supply chain planning, customer care, field service scheduling and fraud detection, with reported supply chain results. Schneider calls its supply chain platform self-healing but has not published how much of it runs without people, so Level 4 is not evidenced.
- Portfolio design: Multi-level, by role. Four training tiers cover all employees, senior managers, AI builders and transformation leaders, and Schneider also builds AI into the products and software it sells.
How Schneider Electric Measures Results
Schneider reports AI training and use-case results, but no total for AI value. All figures below are company-claimed:
- Training: 99.1% of employees completed AI awareness training and 51,800 took further AI courses in 2025 (2025 Universal Registration Document)
- Supply chain: a self-healing supply chain platform cut days of inventory by six and overall inventory by 10%, and generated more than €100 million in value (AI solutions page, figures undated)
- Customer care: AI handles the first step of routing about 7.5 million customer questions a year (AI solutions page)
- Field service: scheduling of thousands of field service visits, once done by hand, is now automated (March 2026)
- Customers: engineering teams using the agentic tools built with Microsoft report up to 50% time savings on control configuration and documentation (April 2026)
The financial targets cover software and data centers, not AI. Schneider aims for software and services at about 25% of revenue by 2030. Data centers drove its third quarter of 2026, with Blum citing “triple-digit demand growth in the quarter” (Reuters, October 2026), but that is demand for AI infrastructure, not a measure of AI use. Schneider said its 2025 support function investments included spending on “AI to drive efficiency” (February 2026), without putting a number on the savings. Reporting that number is the step from AI adoption to AI value.
Next markers: the closing of the Cognite and PTC deals, the first energy and industrial foundation model, and whether the 2026 results put a number on what AI at Scale saves.
Change log
- November 2021: Schneider appoints its first Chief AI Officer, creates the AI Hub and launches AI at Scale.
- November 2022: Schneider reports a first year of AI at Scale, with more than 200 people in AI roles.
- November 2023: Schneider launches generative AI tools with Microsoft, including Jo-Chat GPT for employees.
- November 2024: Olivier Blum becomes CEO (Fortune).
- December 2025: The capital markets day sets the goal of energy and industrial intelligence.
- March 2026: The 2025 annual report shows 99.1% of employees trained on AI and sets out six Responsible AI principles.
- April 2026: Schneider and Microsoft show agentic manufacturing tools at Hannover Messe.
- June 2026: Schneider agrees to buy Cognite for $3.1 billion.
- October 2026: Schneider agrees to buy PTC for $22.6 billion and raises its 2026 targets on data center demand.
The Bottom Line
- Disclosure: 3 of 4. Schneider answers where it is going, where it will focus and what it will take. How it will know is answered in part: it reports training completion and use-case results, but no total for AI revenue or savings.
- AI is both its market and its method. Schneider sells the power and cooling for AI data centers and runs AI at Scale inside.
- Training is the standout. 99.1% of employees completed AI awareness training in 2025, and more than a third went further.
- It is buying the software layer, with about $26 billion of deals agreed in 2026.
- Governance is unusually detailed, with six published principles and a quarterly C-level steering committee.
- The say-do gap is measurement. Five years into AI at Scale, Schneider reports results by use case but no company-wide figure for what AI saves.
- Watch the savings line. The test is whether AI at Scale gets its own number, and whether PTC and Cognite turn into AI revenue Schneider can report.
Revenue, Headcount and Revenue per Employee
What the numbers show: On a comparable basis, revenue rose 5% in 2025 and the average workforce 3%, so revenue per employee rose 2%. Organic growth, which strips out currency moves and changes in scope, was 9%. These figures do not show that AI caused any change.
Revenue, headcount and revenue per employee, FY2022 to FY2025
- FY2022: €34.18bn revenue, 162,339 employees, €211k per employee
- FY2023: €35.90bn revenue, 168,044 employees, €214k per employee
- FY2024: €38.15bn revenue, 158,635 employees, €241k per employee
- FY2025: €40.15bn revenue, 162,970 employees, €246k per employee
Change from FY2024, the first comparable year, to FY2025: revenue up 5%, headcount up 3%, revenue per employee up 2%.
Notes: Revenue is as reported. Headcount is the average number of permanent and temporary employees during the year, from the notes to the financial statements; year-end headcount was 159,844 in 2025. In its 2025 Universal Registration Document, Schneider restated 2024 headcount to exclude non-employee interim workers and to add headcount missing from the earlier scope, so the comparable trend starts in FY2024. 2022 and 2023 are as originally reported and include interim workers. Organic revenue growth, which strips out currency moves and changes in scope, was 8.9% in 2025, against 5.2% reported. Trend figures stay in € so exchange-rate moves do not distort them. At the 2025 average exchange rate, latest revenue per employee is about $278k.
These figures give context on scale and productivity. They do not show that AI caused any change. Sources: Schneider Electric annual results releases and Universal Registration Documents.
How Schneider Electric Compares with Manufacturing and Automotive Peers
We looked at how Schneider Electric compares with other manufacturing and automotive companies in the index. Here is how they stack up.
| Company | Disclosure | AI owner | Fluency floor | Governance | AI value reported | Revenue per employee |
|---|---|---|---|---|---|---|
| General Motors | 3 of 4 | Chief Product Officer; Chief AI Officer role dropped | Not published | Seven principles in the code of conduct | No: engineering milestones | $1.19M |
| Schneider Electric | 3 of 4 | Chief AI Officer since 2021 | Level 1, 99.1% trained | Six principles, C-level steering committee | Results by use case, no total | $278k |
| Siemens | 3 of 4 | Managing board member (CTO) | Not published; 175,000 daily users | Board ownership only, no published principles | Plant and customer results, no total | $280k |
Disclosure counts how many of the four strategy questions (where it is going, where it will focus, what it will take and how it will know it is working) a company answers in public. Fluency floor is the lowest level of AI fluency a company expects of all its people, on the five levels of the Lead with AI Fluency Matrix: Avoiding (0), Chatting (1), Collaborating (2), Integrating (3) and Transforming (4). The other columns summarize each company’s profile. Revenue per employee is for each company’s latest fiscal year, in US dollars. See all companies in the AI Strategy Index.
Frequently Asked Questions
What is Schneider Electric’s AI strategy?
Schneider wants to lead what it calls energy and industrial intelligence. It sells power and cooling for AI data centers, builds AI into its products and industrial software, and runs an internal program called AI at Scale to make its own work more efficient. It has had a Chief AI Officer and a global AI Hub since 2021.
How does Schneider Electric train employees on AI?
AI awareness training is part of Schneider’s mandatory learning modules, and 99.1% of employees, more than 142,000 people, completed it in 2025. A four-tier curriculum built with Coursera adds training for senior managers, AI builders and transformation leaders, and 51,800 employees took further AI courses.
Why is Schneider Electric buying PTC and Cognite?
Schneider says the deals will strengthen its industrial data and AI. It agreed to buy Cognite, an industrial AI company, for $3.1 billion in June 2026, and PTC, an engineering software maker, for $22.6 billion in October 2026.
Is Schneider Electric cutting jobs because of AI?
The sources reviewed do not link AI to job cuts at Schneider. Its average workforce rose 3% in 2025 on a comparable basis, and the company says AI will shift roles and skills, which it plans to meet with upskilling and reskilling.
How is this profile put together?
Lead with AI profiles use public sources only, such as annual reports, earnings materials, filings and on-record interviews, dated at the time of writing. AI fluency is coded against the Lead with AI Fluency Matrix. Company figures are marked as company-claimed unless they have been independently verified.
About the AI Strategy Index
The Lead with AI AI Strategy Index profiles how the largest companies in the US and Europe approach AI, starting with the S&P 100 and the STOXX Europe 50. Each profile answers four questions: where the company is going with AI, where it will focus, what it will take and how it will know it is working. Profiles use public sources only, and AI fluency is coded against the Lead with AI Fluency Matrix.
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