Reasons to Read

Discover how agentic AI is moving from model competition to governed, commercial deployment as open-weight models, expanding infrastructure demands, portable agent standards and AI-enabled shopping reshape the market. Read this report to uncover answers to these and other questions:

• How are technology providers expanding AI infrastructure beyond GPUs to support long-running agent workflows?
• How does Kimi K3 challenge proprietary-model pricing, deployment strategies and assumptions about returns on AI investment?
• What does the Hugging Face breach reveal about the permissions, monitoring, containment and accountability required for autonomous agents?
• How will interoperability standards such as the Model Context Protocol and Agent Plugins affect deployment, switching costs and governance?
• How should retailers prepare for agentic commerce while translating broad AI adoption into measurable workflow and financial value?

Companies mentioned in this report include: AMD; Amazon; Anthropic; Cerebras; Chow Tai Fook; Cursor; Google; Hugging Face; Microsoft; Moonshot AI; Nvidia; OpenAI; and Vercel.

Data in this report include: AI infrastructure investments; model parameters, performance rankings and API pricing; Coresight Research’s US agentic-commerce market forecast; consumer survey findings on GenAI shopping, purchasing and satisfaction; Amazon-reported adoption, engagement, conversion and basket-value metrics for AI shopping tools; Google ATLAS findings on AI use across occupations and workplace tasks; and enterprise AI deployment and performance indicators.

• This report is part of our 2026 AI IMPACT Insights series, which examines developments across investment and infrastructure, models, policies and regulations, applications, consumers and retail, and business transformation.