News, Trends, and Insights for IT & Managed Services Providers
News, Trends, and Insights for IT & Managed Services Providers
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Cisco’s latest research reveals that companies most prepared for artificial intelligence are four times more likely to transition pilot projects into full production and 50% more likely to achieve measurable value. The findings come from the third annual Cisco AI Readiness Index, which surveyed over 8,000 leaders across 30 markets and 26 industries. Notably, 83% of organizations plan to deploy AI agents, but many lack the secure infrastructure necessary for such advancements. Cisco’s President and Chief Product Officer, Jeetu Patel, highlighted that firms integrating AI as a core business function report significant competitive advantages, with 90% experiencing gains in profitability and productivity.

Enterprise spending on artificial intelligence-optimized infrastructure as a service is set to more than double by 2026, reaching an estimated $37.5 billion. According to research firm Gartner, this represents a 146% increase from the expected $18.3 billion in spending for this year. As organizations adapt to the growing demands of artificial intelligence, over half of this expenditure will focus on inferencing workloads rather than training. Gartner’s Principal Analyst Hardeep Singh noted that traditional infrastructure is maturing, but the growth in spending on AI-optimized services will outpace that of conventional infrastructure over the next five years. The surge in demand is prompting tech giants to invest heavily in specialized infrastructure, including partnerships and acquisitions aimed at enhancing capabilities for high-performance computing resources.

Anthropic has announced the integration of its Claude AI assistant with Microsoft 365 services, allowing it to access Word documents, Teams messages, and Outlook emails during conversations. This new capability facilitates document search and analysis through Microsoft SharePoint and OneDrive without the need for manual uploads. The Microsoft Outlook integration enables Claude to analyze email threads and provide relevant context in its responses, while the Teams integration allows the AI to search chat conversations and access meeting summaries. Additionally, Anthropic is launching an enterprise search feature that enhances Claude’s ability to sift through a company’s diverse data sources, which is particularly beneficial for onboarding new team members and addressing strategic inquiries. This integration utilizes Anthropic’s Model Context Protocol, a standard aimed at connecting AI applications to various data sources.

Anthropic has unveiled a new feature called Skills for its AI agent, Claude, aimed at enhancing its utility for workplace tasks. This tool allows users to create folders containing instructions, scripts, and resources that Claude can utilize to perform specific functions more effectively, such as handling Excel tasks or adhering to brand guidelines. 

Why do we care?

Here’s the punchline: the AI gold rush is no longer about building models — it’s about making them actually useful. Cisco’s research shows that if you’ve got your infrastructure act together, you’re four times more likely to turn AI experiments into real business outcomes. Not because magic — because prep.

Meanwhile, Gartner says we’ll more than double enterprise spend on AI infrastructure by 2026, and the kicker? Most of that isn’t for training — it’s inferencing. That’s AI in production, doing real work.

And here comes Anthropic’s Claude, now baked right into Microsoft 365. It can dig through emails, Teams chats, SharePoint files — no manual uploads needed. Plus, they dropped a “Skills” feature, meaning Claude can follow repeatable processes like working spreadsheets or sticking to brand guides. You’re looking at a fully embedded business agent, not a chatbot sideshow.

Your clients will start using this — with or without you. The ones who don’t? They’ll fall behind. Your job? Help them adopt it right. Build AI assessments, create packaged workflows, and lock down data access. Because if you’re just talking about servers and patching — you’re already out of the loop.

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