Key facts
- AI agents are autonomously managing retail stores and cafes, handling tasks like procurement and hiring.
- An AI-run cafe in Sweden has passed labor inspections.
- ePlus showcased its AgenticOps technology, developed with NVIDIA and Cisco, at Cisco Live.
- Chipotle's AI chatbot 'Ava Cado' reduced hiring time from 12 days to four.
- Walmart has implemented usage limits on its internal AI coding assistant, Code Puppy.
- Flexport launched a 90-day in-house AI training program for employees.
- Asana launched AI agent collaboration tools for human-AI teamwork.
- Anthropic research suggests AI progress may accelerate via self-improvement.
- Anthropic is calling for a coordinated pause in advanced AI development.
- AI task completion capabilities are reportedly doubling every four months.
Artificial intelligence is increasingly managing business operations autonomously, with AI agents now reportedly handling tasks such as procurement and hiring in retail stores and cafes, according to Andon Labs co-founder Lukas Petersson. While human employees still perform physical duties, AI systems are making all operational decisions. An AI-managed cafe in Sweden has successfully passed labor inspections, and Petersson suggests companies create AI 'shadow copies' to evaluate the risk of AI replacement.
Beyond retail management, AI is being integrated into IT and security operations. ePlus demonstrated its AgenticOps platform, developed in collaboration with NVIDIA and Cisco, at Cisco Live. This platform is designed to provide autonomous IT and security functions by integrating networking, compute, and AI capabilities for rapid, secure, and self-contained solutions.
Several companies are also leveraging AI to optimize specific business processes. Chipotle's Chief Operating Officer Jason Kidd stated that their AI chatbot, 'Ava Cado,' has reduced the hiring time from 12 days to four by managing candidate interactions, scheduling, and offer letters, with time savings reinvested into restaurant operations. Walmart, however, has implemented usage limits on its internal AI coding assistant, Code Puppy, to curb redundant requests and control costs, encouraging employees to utilize existing solutions and scale successful ideas. Flexport is proactively training its employees through a 90-day in-house program to build custom AI workflows and automate tasks using LLMs and AI agents. Asana has introduced a new suite of tools designed to facilitate collaboration between humans and AI agents within shared plans, contexts, and governance frameworks, aiming to enhance enterprise productivity.
Amidst this rapid advancement, significant concerns are being raised about the trajectory of AI development. Anthropic co-founder Chris Olah has called for external oversight of the AI industry, citing a conflict between profit motives and ethical AI, and urging institutions like the Catholic Church, scholars, and governments to supervise development. Furthermore, Anthropic research suggests that AI progress could accelerate through recursive self-improvement, where AI systems autonomously create more capable successors, potentially speeding up scientific and medical breakthroughs. This potential for accelerated progress has led Anthropic to propose a coordinated pause in advanced AI development due to fears of losing control, noting that AI task completion capabilities are doubling every four months. Such a pause would necessitate agreement among major AI labs and the establishment of oversight rules. The current AI boom has also created challenges for hundreds of startups founded before 2022, leaving them struggling to adapt to the dominance of large language models like ChatGPT. Anthropic plans to discuss its findings on AI progress with lawmakers.