1

CIOs Reimagine Software's Future as AI Agents Advance

Anthropic's Claude Cowork plugins triggered a $300 billion SaaS stock sell-off in January. The "SaaSpocalypse" narrative has since calmed, but the signal is clear: AI agents are reshaping how enterprises think about software. Bristol Myers Squibb already rebuilt a critical forecasting system using AI instead of optimizing their existing spreadsheet-and-enterprise-software approach.

Read on CIO →
2

79% of Marketers Boosting GenAI Spend in 2026

New eMarketer data shows 133 million Americans now use generative AI regularly — 39% of the population. For marketers, audience segmentation ranks as the #1 AI use case, followed by measurement and content production. The 79% planning to increase spend is up from 70% in 2023, signaling the shift from experimentation to embedded workflows.

Read on eMarketer →
3

Gartner: $58B Productivity Tool Market About to Be Disrupted

Gartner's latest prediction: GenAI and AI agents will create the first true challenge to mainstream productivity tools in 35 years, triggering a $58 billion market shake-up through 2027. The implication: your competitive landscape isn't just other vendors — it's AI-native tools that could reshape entire categories.

Read on Gartner →
4

Agentic Marketing Arrives for Multi-Location Brands

Birdeye's deep dive on "agentic marketing" explains how it differs from automation and copilots: agents don't just recommend — they execute with governance. For enterprise brands, this means autonomous action across reviews, listings, and social, but with audit logs, permissions, and escalation rules baked in. The competitive advantage shifts from creative output to operational consistency.

Read on Birdeye →
5

AI Marketing Automation Now "Non-Negotiable"

McKinsey research shows AI-powered marketing improves productivity by up to 20%. Salesforce reports 75% of high-performing teams already leverage AI. The key shift: marketing is moving from "campaign-driven" to "system-driven," where AI interprets intent in real-time and optimizes continuously without manual intervention.

Read on Business Upturn →

💡 My Take

Read this one: The CIO piece on the "SaaSpocalypse." The $300B sell-off may have been overblown, but the underlying message isn't: AI agents are training enterprises to expect software that does the work, not just helps with it. Enterprise buyers increasingly ask "why can't this just be an agent?"

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