GenAI/AI News Jun 26 25: Walmart Teaches an Elephant to Dance, Claude Catches Up, Google Delivers a Terminal...
If a Company The Size of Walmart - a 1/3rd the Size of the Australian Economy Can Do It, What's Your Excuse
The combined fortune of the Walton’s of WalMart lineage is $432 Billion. Musk a mere $412. The firm’s revenues are the same size as the Belgian GDP. Today we have a story of how they have implemented AI in the stores, warehouses, etc., and created their own AI platform. Think of the scale of that transformation — for a firm that huge, that diverse, that geographically distant, to make major strides in adopting GenAI in just over two years?!! That should put a lot of us to shame. What a feat of leadership. We all can learn from them. Here’s the rest of the news….
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Today there was 1 Essential, 3 Important, and 2 Optional articles.
How Walmart built an AI platform that makes it beholden to no one
Rating: Essential
Rationale: Walmart has developed an in-house AI platform, AI Foundry, to drive operational transformation across planning, translation, and employee support, reportedly reducing manager planning time from 90 to 30 minutes and handling 3 million daily queries. Our analysts emphasized the scale and depth of Walmart's integration of generative AI—across use cases from conversational agents to computer vision—highlighting it as a benchmark for scaled generative AI integration in retail, making it a must-read for enterprise AI leaders.
Introducing two new ways to create with Claude
Rating: Important
Rationale: Anthropic announced tools for building and sharing Claude-powered applications, enabling developers to create embedded experiences that monetize usage via users’ own Claude subscriptions. Our analysts saw this as a catch-up to OpenAI's GPT Store but emphasized the unique architecture allowing native Claude embedding and noted its strategic importance given Claude's level of adoption in enterprise deployments.
Google unveils Gemini CLI, an open-source AI tool for terminals
Rating: Important
Rationale: Google has released Gemini CLI, an open-source terminal assistant that integrates with its broader suite of coding tools. Our analysts framed this as an incremental but necessary move from one of the major AI players—relevant especially for developers—and noted its integration into the larger Gemini ecosystem and the subtle but growing implications for code automation.
Introducing Mu language model and how it enabled the agent in Windows Settings
Rating: Important
Rationale: Microsoft’s new Mu model, a lightweight 330M parameter model, powers an on-device settings agent in Windows Copilot. Our analysts highlighted this as a noteworthy example of practical, small language model deployment at scale, relevant for those exploring edge AI or on-device generative capabilities, especially in constrained environments like embedded systems or regulated industries.
How Captide agents running on LangGraph Platform compress investment research from days to seconds
Rating: Optional
Rationale: Captide uses LangGraph and LangSmith to automate and monitor financial analysis tasks like parsing SEC filings. While our analysts acknowledged this as a strong example of AI in finance and agent observability, they rated it optional due to limited clarity on outcomes or broader applicability beyond niche financial research automation.
The AI Efficiency Trap: When Productivity Tools Create Perpetual Pressure
Rating: Optional
Rationale: This article critiques how AI tools may amplify workplace pressure and alienation despite promising productivity gains. While thought-provoking, our analysts agreed that it revisits longstanding debates in labor and automation studies, offering limited new insight for today’s AI strategy decisions.
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Enjoy,
John Sviokla, Paul Baier and our AI analysts Luda Kopeikina, and Tim Andrews.