
Catalyst Brands, Dick’s Sporting Goods and Lowes have just released new AI capabilities to address specific operational pain points. These are exactly the type of AI applications that retailers should be focused on. Not flashy bells & whistles, but real-world operational and customer pain points. Meanwhile, Google, OpenAI and Anthropic have all now shipped 24/7 autonomous AI infrastructure. Read this week’s Retail+AI Report to learn more.
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AI Models & Tools
Anthropic closed a $65 billion Series H funding round this week, pushing its valuation to $965 billion, effectively a pre-IPO titan with annualized revenue already exceeding $47 billion. Alongside the raise, the company shipped Claude Opus 4.8, a new flagship model explicitly engineered to reduce deceptive and misaligned outputs. More consequentially for enterprise buyers, Anthropic confirmed that its Mythos-class models, previously deployed only to Amazon, Microsoft, Apple, and select cybersecurity partners under the restricted Project Glasswing program, will reach general availability within weeks.
Why it matters: The Opus 4.8 improvements to honesty and reduced hallucination rates matter directly for retailers deploying AI-generated product descriptions, personalized recommendations, or automated customer service, where an accuracy failure carries real reputational and legal exposure. The imminent public release of Mythos will reset baseline expectations for what autonomous AI agents can accomplish across retail operations, and what threats they can pose to retail security infrastructure. More on Mythos below.
Source: Fortune
AI Models & Tools
Anthropic's Mythos-class model demonstrated capabilities during Project Glasswing that are difficult to overstate: it autonomously identified 271 vulnerabilities in Firefox, successfully executed a 32-step simulated corporate network attack, and uncovered critical flaws in Apple's M5 chips, all without human guidance. That capability is now weeks away from public availability. Anthropic says defensive safeguards are progressing rapidly, but the cybersecurity and policy community remains sharply divided on the dual-use risk of releasing a model with autonomous offensive cyber capabilities at this scale.
Why it matters: Retailers operate some of the highest-value targets in consumer data infrastructure, from POS systems and loyalty databases to payment rails and e-commerce platforms holding hundreds of millions of consumer financial records. A model that can autonomously chain together a 32-step network attack represents a qualitative upgrade to the threat environment.. Retail CISOs and CTOs should be pressure-testing their incident response playbooks and network segmentation strategies before Mythos is in the wild, and should simultaneously evaluate whether the same technology can be deployed defensively to find their own vulnerabilities first.
Source: BleepingComputer
AI Models & Tools
May 2026 will be remembered as the month agentic AI became a product rather than a research preview. Google launched Gemini Spark, a 24/7 personal AI agent running on dedicated cloud infrastructure with persistent access to email, calendar, and documents. Anthropic shipped dynamic workflow tooling for long-running autonomous tasks. OpenAI formalized its ambitions most explicitly, launching "The Deployment Company", a $4B+ subsidiary that embeds forward-deployed engineers inside enterprise clients including Tesco, Virgin Atlantic, and Fidelity, and acquired London-based AI firm Tomoro to scale the implementation layer. The AI labs are competing directly with systems integrators for enterprise transformation contracts.
Why it matters: The shift from AI as a query tool to AI as a persistent background operator is the most structurally important change retail executives need to internalize this year. Agents that run continuously without supervision can autonomously rebalance inventory, execute dynamic pricing adjustments, monitor competitor assortment, and negotiate with suppliers at a speed and scale no human planning team can replicate. OpenAI's Deployment Company model, with Tesco among the named anchor clients, is a direct signal that frontier labs intend to own the implementation relationship, not just the technology. Retail CTOs should re-examine their system integrator and consulting partnerships in light of this new competitive dynamic.
Source: mager.co
Retail x AI
Catalyst Brands, the Brookfield-backed retail conglomerate operating JCPenney, Aéropostale, Brooks Brothers, and Nautica, announced a live commercial deployment of bipedal humanoid robots from Figure AI at its Reno, Nevada distribution center. The robots run Figure's Helix-02 AI platform and are integrated into the facility's existing Joey Pouch sequencing system, handling physically demanding sorting and packing tasks. Notably, this is an active commercial contract in a production logistics environment. The deal was enabled in part by Brookfield's equity position in both Catalyst and Figure AI, representing a new model of financial sponsor-led technology deployment across portfolio companies.
Why it matters: The Catalyst-Figure deployment marks an inflection point where humanoid robotics has moved from demonstration stage to commercial contract stage inside a major multi-banner retailer's distribution network. For supply chain and operations executives, this changes the planning horizon: warehouse design, labor forecasting, and capital allocation models that assume human-only DC operations for the next decade need to be revisited. The Brookfield shared-investment structure is equally significant as a strategic signal, where private equity sponsors with technology stakes are beginning to architect coordinated deployment across retail portfolios, which could dramatically accelerate humanoid adoption across the sector.
Source: JCPenney Newsroom / Catalyst Brands
Retail x AI
Dick's Sporting Goods launched "Coach by Dick's", an agentic AI conversational adviser embedded in its mobile app, built on Adobe Brand Concierge and layered with the retailer's proprietary sport and product knowledge base. Launching this month, Coach delivers personalized training guidance, product recommendations, and decision support that adapts to each user's sport, goals, and skill progression, a deliberate design choice to feel like a knowledgeable in-store associate rather than a transactional search filter. The launch follows Q1 results showing 6% net sales growth year-over-year and raised full-year comp guidance, suggesting the company is investing from a position of strength.
Why it matters: Dick's is executing a strategically coherent playbook, using AI to make the thing Amazon cannot easily replicate: deep, sport-specific expertise delivered through a trusted brand voice, available at app scale to every customer, not just the ones lucky enough to get the best associate on a good shift. This is a direct and replicable model for any specialty retailer defending margin and loyalty against marketplace commoditization. CMOs and digital leaders should note that Adobe Brand Concierge is maturing into a viable enterprise platform for retailer-branded conversational AI, offering a faster path to deployment than building proprietary LLM infrastructure from scratch.
Source: Retail Dive
Retail x AI
Lowe's launched Material Lists, an AI-powered quoting tool that converts handwritten notes, job-site photos, spreadsheets, and mixed-format files into quote-ready purchase orders in minutes, in both English and Spanish. The tool uses proprietary SKU-matching technology developed in-house and is squarely targeted at professional contractors, a segment that generates significantly higher transaction values than DIY consumers but has historically been underserved by tools that couldn't accommodate the messy, analog reality of how contractors actually work in the field.
Why it matters: The friction point Lowe's is eliminating, the laborious manual conversion of field notes into supplier orders, is exactly the kind of workflow inefficiency that drives professional contractors toward specialized supply houses and away from big-box retailers. By compressing the quote-to-order cycle from hours to minutes, Lowe's is making its Pro business demonstrably stickier and expanding wallet capture in a segment that typically spends three to five times more per transaction than the average DIY customer. Retailers with meaningful B2B or professional customer segments should treat this as a benchmark capability: AI-powered workflow compression in the buying process is rapidly becoming table stakes for Pro-tier retention.
Source: Chain Store Age
The Mythos public release is the one of the most consequential near-term events for retail technology and security teams. Watch for Anthropic's specific access controls, enterprise safeguards, and the speed of third-party integrations once it lands in general availability. Separately, the OpenAI Deployment Company's client roster will be worth tracking closely: if more major global retailers follow Tesco into forward-deployed AI engagements, it signals a fundamental restructuring of how enterprise retail technology is implemented and who owns the relationship. And as humanoid robot deployments move from press release to production, watch for the first labor relations and regulatory responses- they are coming, and they will shape the speed of adoption across the distribution sector.
Agentic AI refers to systems that operate autonomously in the background — executing tasks, making decisions, and taking actions without continuous human supervision. In May 2026, Google, Anthropic, and OpenAI each shipped infrastructure designed to run these agents continuously for hours or days. For retail operations, this means AI can now autonomously rebalance inventory, execute dynamic pricing adjustments, monitor competitor assortment, and negotiate with suppliers at a speed and scale no human planning team can replicate.
Anthropic's Mythos-class model demonstrated during its restricted Project Glasswing program that it could autonomously identify 271 vulnerabilities in Firefox, execute a 32-step simulated corporate network attack, and uncover critical flaws in Apple's M5 chips — all without human guidance. Retailers are among the highest-value targets in consumer data infrastructure, operating POS systems, loyalty databases, payment rails, and e-commerce platforms holding hundreds of millions of consumer financial records. Retail CISOs and CTOs should pressure-test incident response playbooks and network segmentation strategies before Mythos reaches general availability, and should evaluate whether the same technology can be deployed defensively to identify their own vulnerabilities first.
Yes. Catalyst Brands — the Brookfield-backed conglomerate operating JCPenney, Aéropostale, Brooks Brothers, and Nautica — announced a live commercial deployment of bipedal humanoid robots from Figure AI at its Reno, Nevada distribution center in May 2026. The robots run Figure's Helix-02 AI platform, integrated into existing operations under an active commercial contract handling sorting and packing tasks. This marks a substantive shift from controlled pilot programs to production-level humanoid robotics inside a major multi-banner retailer's distribution network.
OpenAI's Deployment Company is a $4 billion-plus subsidiary launched in 2026 that embeds forward-deployed engineers directly inside enterprise clients — including Tesco, Virgin Atlantic, and Fidelity — to implement AI transformation at scale. By acquiring London-based AI firm Tomoro, OpenAI is building an implementation layer that competes directly with traditional systems integrators and consulting firms. For retail CTOs, this signals that frontier AI labs intend to own the full implementation relationship, not just the underlying technology, which has direct implications for existing vendor and consulting partnerships.
Platforms like Profitmind that run AI agents for pricing, inventory, assortment, and competitive intelligence are part of the same structural move — from AI as a reporting tool to AI as a continuous operator. The architectural shift that Google, Anthropic, and OpenAI are executing at the infrastructure layer is playing out in specialized retail applications, where AI agents now monitor every SKU, surface pricing opportunities, and flag inventory risks without waiting for a human to initiate the analysis. For enterprise retailers evaluating this category, the meaningful differentiator is no longer whether a platform uses AI — it is whether that AI operates continuously and autonomously at the merchandising decision layer.

Catalyst Brands deployed humanoid robots under a live commercial contract at JCPenney distribution, Dick's Sporting Goods launched an AI adviser that scales in-store expertise to every app user. The distinction between AI as a tool and AI as an operator has effectively collapsed, and the implications for retail operations, security, and competitive strategy are immediate.

Google confirms live AI checkout at Nike, Walmart, Target, and Sephora. Walmart's Sparky lifts average order value 35%. Klarna connects 400 million listings to ChatGPT. This week, agentic commerce moved from announcement to deployment, and the gap between retailers who are ready and those who are not became measurable.

Amazon's one-two punch: an AI agent that buys from your competitors and a 30-minute delivery network aimed at the grocery run, plus the Colliers data showing AI adopters pulling away fast.