FFord Motor Company
AI adoption · Q1 2026 earnings call
Consumer DiscretionaryScaling
5
extracted from this call
4 / 5
quantified with specifics
Not disclosed
no breakout in this call
AI was mentioned narrowly on this call, primarily in the context of Ford Pro AI — a fleet management tool using large data models to identify maintenance needs, optimize fuel usage, and route planning for commercial customers. Management cited 30% YoY growth in paid software subscriptions (879,000) as evidence of scaling, with Ford Pro AI framed as a key feature driving that growth. No standalone AI revenue was disclosed, and AI was not a central theme of the call.
Adopter
See full leaderboard →54/ 100
78
stage: scaling · max spec: 4
40
rev: qualitative_only · 2 quant outcomes
35
1 scope
product_embedded
5 AI mentions from this call.
Extracted verbatim from the F Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.
- T4Q&A· CEO· Product-embedded AII was hoping to start on the comments the company -- spoke about in his prepared remarks on software and physical services. I think you said you expect the $15 billion of revenue coming from those areas to grow at a nearly 8% rate annually through the end of the decade
“our growth in ADAS, our growth in Pro Intelligence that Sherry mentioned are both signature parts of our integrated services that seem to be growing about 30% to 40% a quarter with very high margins.”
— James Farley, F earnings callPro Intelligence, ADAS - T4Q&A· CEO· Product-embedded AII was hoping to start on the comments the company -- spoke about in his prepared remarks on software and physical services. I think you said you expect the $15 billion of revenue coming from those areas to grow at a nearly 8% rate annually through the end of the decade, which is a pretty good outlook over several years. So can you help investors to better understand what's driving that degree of revenue growth over the coming years? And more importantly, what does that mean for EBIT?
“When you look at the margins of the part business and the software business, this $15 billion that will be growing at 8% a year is highly profitable for the company.”
— James Farley, F earnings callPro Intelligence, ADAS - T4Prepared remarks· CFO· Product-embedded AI
“paid software subscriptions grew to 879,000, a 30% year-over-year increase.”
— Sherry House, F earnings callFord Pro AI - T3Prepared remarks· CFO· Product-embedded AI
“By integrating innovations like Ford Pro AI, we can help commercial fleet managers instantly identify maintenance needs, leverage large data models on fuel usage to lower costs and optimize routes amongst other features, all designed to provide better predictability, productivity and profitability, which our customers require.”
— Sherry House, F earnings callFord Pro AI - T2Q&A· CEO· Product-embedded AIjust coming back to autonomy. It seems in robotaxi, there's a lot more appetite now for some of these tech companies like Uber and NVIDIA sort of quasi-subsidize the OEMs. Has your kind of thinking about robotaxi maybe evolved over the last 3 or 4 months?
“we are completely focused on having the most efficient EV and the lowest cost of ownership in North America, number one. And number two, because of our Pro business, we have the most fit, repair and fleet management capability for new fleets -- all fleets. And that capability can be applied to all sorts of different fleets.”
— James Farley, F earnings callUber, NVIDIA, Argo
What management wouldn’t quantify.
Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.
- No standalone AI revenue figure disclosed; AI contribution to the $15B software and physical services revenue is not broken out.
- Ford Pro AI described with use cases but no quantified productivity or cost savings metrics for end customers.
- No disclosure of AI-related capex, model partnerships, or infrastructure investment.
- No mention of internal AI productivity use cases or headcount impact.
- Management did not address AI competitive risks or regulatory considerations.
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