Ford has introduced a new AI assistant this week designed to help its Ford Pro commercial clients improve profitability by tracking and evaluating millions of data points. This move reflects a broader industry wager that software represents a significant revenue opportunity.

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The Ford Pro AI assistant launched at Work Truck Week in Indianapolis and is now accessible to all U.S.-based Pro telematics subscribers at no extra cost. While Ford does not reveal its U.S. subscriber count, it reports over 840,000 subscribers worldwide.

With Ford Pro generating $66.3 billion in revenue in 2025, this division is a logical focus as the company looks to deliver greater value to its paying customers. However, it is not the only area of development. Earlier this year at CES 2026, Ford announced it is creating an AI assistant for passenger vehicle owners, which will first appear in the company's smartphone app before being integrated into vehicles in 2027.

The company emphasizes that its proprietary systems offer subscribers comprehensive insights into fuel usage, seatbelt compliance, and overall vehicle health, going beyond simple diagnostic error codes. The assistant also provides fleet managers with data on idle times, speeding incidents, and acceleration patterns.

Similar to its consumer-focused AI assistant, Ford Pro AI is built on Google Cloud and employs multiple AI agents. Ford highlights that its key advantage lies in leveraging internal data from each customer's fleet to minimize the risk of AI inaccuracies and errors.

Ford Pro, the division that sells Super Duty trucks along with vehicles to commercial, government, and rental clients, has become a major profit center. According to its earnings report, the Ford Pro business division achieved a net income of $6.8 billion in 2025. The company also noted a 30% growth in paid software subscriptions for Ford Pro during that year.

Despite deploying these AI tools for customers, Ford's leadership has cautioned about upcoming job reductions driven by the technology. Last year, CEO Jim Farley forecasted that AI would reduce white-collar employment in the United States by half. In January, Farley stated that the U.S. requires essential workers to develop and maintain the infrastructure necessary to achieve its ambitious AI objectives.