AI readiness

The convenience and retail industry is turning its attention to how artificial intelligence will reshape store operations, customer service and supply chains. NACS, the association for convenience retailers, is spotlighting how companies can get ready for an AI-driven future, reflecting a broader push across retail to adopt automation and data tools while weighing the costs and workforce implications.

Adobe has released a report examining how prepared the travel and hospitality industry is to adopt artificial intelligence. The assessment looks at where airlines, hotels and related businesses stand in deploying AI tools, and what gaps remain. Industry watchers are weighing what the findings mean for customer service, operations and competition across the sector.

China has introduced mandatory artificial intelligence training for students nationwide, a striking contrast with the United States, where policymakers remain focused on debating AI's risks. The Washington Post reports the divergence, highlighting how the two countries are taking opposite approaches to preparing young people for an AI-driven economy. The move underscores growing competition between the two powers over technological leadership and workforce readiness.

GitHub is drawing attention for guidance about its newest Copilot capability that effectively recommends developers try other tools or approaches first. The advice, highlighted in a New Stack report, is being read as an unusually candid admission that the feature may not be ready for everyday use. Developers are debating whether this reflects honest product maturity or a sign that AI coding assistants still need oversight.

Retail TouchPoints is asking whether consumers are prepared for agentic commerce from Muse AI, where AI agents handle shopping tasks on behalf of customers. The piece explores how retailers might adopt this technology and whether shopper trust and readiness can keep pace with rapidly advancing AI shopping tools.

PwC reports that attacks targeting AI systems now rank as the biggest readiness gap for companies, suggesting firms are adopting artificial intelligence faster than they can secure it. The finding points to a widening mismatch between AI deployment and AI security preparedness across industries, prompting discussion about whether companies are underestimating the risks that come with the technology.

A draft article about Kineta engines has been written and is ready to publish on the developer platform Dev.to, saved as an unpublished draft with front-matter included. The piece covers AI, productivity, programming, agents and software development, with a note that the cost data mentioned in it came as a surprise. It also touches on inclusive engineering and community themes.

Skift asks what is needed to move artificial intelligence in the travel industry out of the pilot stage and into full deployment. The piece examines why AI initiatives at travel companies often remain stuck in testing, and what factors—technology maturity, cost, or organisational readiness—could push them into everyday operations.