AI Agents Create "New Problem" for Enterprise Software
Seat-based pricing is breaking. AI agents are disrupting how Salesforce, ServiceNow, and other enterprise platforms generate value — and SMBs with lower switching costs and less customization are already running operations on thin agent layers with minimal legacy infrastructure. The disruption starts where friction is lowest.
Read on TheStreet →AI Marketing Agents Expose Weak Marketing Systems
The Forbes Agency Council piece worth reading today: rather than making marketing functions redundant, agentic AI tools are revealing where underlying strategy, data, and governance are broken. If objectives are vague, data is fragmented, or roles are misaligned — agents will amplify those problems, not fix them.
Read on Forbes →Gartner: 40% of Enterprise Apps Will Embed Agents by Year-End
Up from under 5% in 2025. This isn't about standalone AI tools anymore — it's about agents embedded directly into the apps you already use. The shift fundamentally changes how SaaS delivers value, and it's happening faster than most enterprises are prepared for.
Read on The SaaS Library →Google A2A Joins Agentic AI Foundation
Google's Agent-to-Agent (A2A) protocol has formally joined the Linux Foundation's Agentic AI Foundation alongside Anthropic's MCP. With 250+ members including AWS, Microsoft, OpenAI, and Cloudflare, this consolidates the agent standards stack under neutral governance — reducing integration friction for multi-vendor deployments.
Read on AI Agent Store →LinkedIn Releases AI Marketing Playbook for B2B
LinkedIn published new guidance for B2B marketers on how to optimize content for AI visibility — specifically how to boost your chances of being cited in AI chatbot responses. As AI search becomes the default discovery channel, this is the new SEO playbook.
Read on Forbes →💡 My Take
Read this one: The Forbes piece on AI agents exposing weak marketing systems. It cuts through the "AI will replace marketers" noise and lands on a more useful insight: agents don't fix broken strategy — they accelerate it. The companies winning with AI aren't the ones with the best tools; they're the ones who got their foundations right first.