PGThe Procter & Gamble Company
AI adoption · Q1 2026 earnings call
Consumer StaplesPiloting
5
extracted from this call
3 / 5
operational, no hard numbers
Not disclosed
no breakout in this call
AI was mentioned only peripherally on this call, primarily in the context of changing consumer media habits (AI portals as a discovery channel) and as one component of broader technology toolkits being deployed internally. Management explicitly distinguished Supply Chain 3.0 from AI, characterizing it as largely basic automation rather than AI. The most substantive AI-adjacent commentary related to internal toolboxes for concept ideation, content creation, molecular discovery, and perfume discovery, though these were not quantified.
Adopter
See full leaderboard →27/ 100
51
stage: piloting · max spec: 3
0
no quantified disclosure
35
1 scope
internal_use
5 AI mentions from this call.
Extracted verbatim from the PG Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.
- T4Q&A· CFO· Internal useI mean I guess I sort of think of this as a kind of way you're deploying AI across the organization. And when I think about sort of your initial assessment of what costs might be on the cost headwinds heading into fiscal '27, how much of an advantage do you see already from what you're doing on AI in sort of rating that into a certain extent, if that's the right way to think about it? Or is it still too early to really see sort of significant benefits from the moves you're making around AI and supply chain 3.0.
“We are scaling the technologies across all categories. Again, we talked about unattended shift models that is rolling out throughout more and more categories and more and more plants. Unattended warehousing, including loading and unloading of finished product, pack and raw materials rolling out globally, real-time touchless quality rolling out across the corporation. All of that is embedded in the productivity commitments we've made, so the $2 billion to $2.2 billion, $1.5 billion of that in cost of goods.”
— Andre Schulten, PG earnings call - T3Prepared remarks· CFO· Internal use
“Second toolbox, how do we enable those teams to be better at consumer-facing work. So think about concept ideation, content creation, pushing that content out across all platforms, measuring it, reworking it. That's toolbox #2, that is being scaled as we speak. Number three, the whole innovation part that's already being used. So think about molecular discovery suite think about perfume discovery, digital twins to qualify innovation, that's already well in place.”
— Andre Schulten, PG earnings callmolecular discovery suite - T2Q&A· CFO· Internal useI mean I guess I sort of think of this as a kind of way you're deploying AI across the organization. And when I think about sort of your initial assessment of what costs might be on the cost headwinds heading into fiscal '27, how much of an advantage do you see already from what you're doing on AI in sort of rating that into a certain extent, if that's the right way to think about it? Or is it still too early to really see sort of significant benefits from the moves you're making around AI and supply chain 3.0.
“Look, I wouldn't call Supply Chain 3.0 AI. I think it's really applying technology that is available to us in our manufacturing and supply chain processes. Some of it is AI, but a lot of it is a lot more basic automation that we're driving.”
— Andre Schulten, PG earnings callSupply Chain 3.0 - T2Prepared remarks· CFO· Customer demand signal
“media fragmentation and changing consumer media preferences are affecting how consumers are collecting information about our categories, including platforms like social media, retail, media and AI portals.”
— Andre Schulten, PG earnings call - T2Prepared remarks· CFO· Internal use
“much of this work, such as rapid product reformulation and supply diversification is enabled by the advanced data tools and capabilities we discussed earlier.”
— Andre Schulten, PG earnings call
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 quantification of AI-specific investment (capex or opex) provided.
- No revenue or margin impact attributed to AI tools disclosed.
- No user adoption metrics or productivity metrics tied specifically to AI tools disclosed.
- Analyst Edward Lewis asked directly about AI advantages in cost mitigation heading into FY27; management deflected by reframing Supply Chain 3.0 as primarily basic automation rather than AI, and gave no quantified AI benefit.
- No named AI model providers, hyperscaler AI partnerships, or specific AI product names disclosed.
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