vendor bill
AI tooling, model and partner bill
Not sized
Not mentioned this quarter.
inscrutabledisclosure: not mentioned· motive: exploratory· before LLMs: new
No source in the quarter mentions AI spending, a model partner or AI investments. The channel is carried with no reading of its own.
Evidence: 0 quotes, 2 from before coverage
What the company spends testing, developing and deploying AI tools, including generative AI, part of it with strategic partners and other third-party service providers: model and cloud bills behind Magic Apron and the Pro list tools, AI software and partner services. The 10-K names the activity among its technology investments and gives no amount; technology expense is not a reported line and sits inside selling, general and administrative expenses.
Why this motive
Carried from the prior quarter; silence is not evidence about motive.
Before LLMs: new
At the anchor the fiscal 2023 10-K already listed testing the use and incorporation of artificial intelligence, including generative artificial intelligence, among its substantial information technology investments, made in part with strategic partners and other third-party service providers, and named implementing new technologies such as artificial intelligence among the risks of its initiatives; it gave no amount and named no deployed AI tool. The fiscal 2025 10-K says testing, developing and deploying AI tools, including generative AI, and names the deployed tools. A bill for LLM models and tokens could not exist before LLMs, so the money is read as new. Technology spend sat inside selling, general and administrative expenses ( for fiscal 2023).
“including those associated with managing third-party service providers, employing new online tools and services, implementing new technologies such as artificial intelligence, implementing and restructuring support systems and processes”
“outsourcing certain technology and business processes to third-party service providers; making changes to existing systems, including the migration of applications to the cloud; maintaining or enhancing legacy systems that are not currently being replaced; designing or cost-effectively acquiring new systems with new functionality; or testing the use and incorporation of artificial”
By quarter
- Q1 2026described · our inference · exploratory · $2.3mn to $33mn
- Q2 2026not mentioned · inscrutable · exploratory
- Q3 2026not mentioned · inscrutable · exploratory