2026 enterprise AI predictions — fragmentation, commodification and the agent push facing CIOs

Three years post-ChatGPT, enterprises are increasingly prioritizing agentic systems built on large language models (LLMs). Predictions for the coming year include heightened competition among automation approaches, a shift towards strategic investment in agentic solutions, and necessities surrounding data quality and compliance. Challenges, such as rogue agents and unstructured data, persist.

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Vendasta Shows Why Platforms Become Operating Systems For AI Agents

Vendasta has transformed from a basic reputation management platform into a comprehensive operating system for AI agents, enhancing client engagement and automating core functions for small and medium-sized businesses (SMBs). This pivot allows partners to onboard clients swiftly and deliver customized experiences, unlocking significant growth potential and improving efficiency.

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An Olympic-sized effort: CIOs prep for AI disruption in 2026

In 2026, AI disruption will compel companies, including Moderna and the IOC, to adapt and innovate. Leaders emphasized the importance of leveraging AI for efficiency and competitiveness, highlighting strategies like in-house model development and a culture of innovation. Smaller AI models may also see broader adoption, enhancing daily applications.

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Digital And Tech Chief On How General Mills Is Scaling AI

General Mills, a prominent food company, reported $19.5 billion in revenue for 2025, operating across North America, international markets, and pet segments. Led by Chief Digital and Technology Officer Jaime Montemayor, the company focuses on AI and data integration to enhance operations. Initiatives include modernizing cloud infrastructure, advanced analytics, and transformation in marketing strategies.

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