1

ABI Research: "AI Claws" Signal the Next Phase of Enterprise AI

ABI Research identifies a new class of persistent, long-running agents they're calling "AI Claws" — designed to move enterprises beyond session-based assistants toward continuous, autonomous knowledge-work systems. The key insight: innovation is shifting to the "agentic harness" (memory, tool orchestration, model routing) rather than model performance itself. Enterprise AI spend at the edge is forecast to exceed $70B by 2030.

Read on GlobeNewswire →
2

BCG: Own Your "Enterprise Cortex" or Risk Cognitive Lock-In

BCG warns that as AI becomes deeply embedded in problem-solving, companies risk "cognitive lock-in" — where logic sits in systems they can't own or inspect. The solution: build an intelligence layer around your IP, data, business rules, and institutional knowledge. A global entertainment company is already running hundreds of coordinated agents across insight generation, strategic briefs, content creation, and campaign activation — all drawing from a shared, protected cortex.

Read on BCG Weekly Brief →
3

Magnite's First Agentic Campaign Cuts Setup Time 70%

Magnite ran the first agentic advertising campaign in EMEA with Amnet France and reported a 70% reduction in campaign setup time plus a 95% video view-through rate. Important caveat: this is a labor-cost savings story (agency hours), not media efficiency. But it's a real proof point that agentic workflows can eliminate the operational drag that eats into every campaign.

Read on Agile Brand Guide →
4

Why AI Tech Chasing Fails in B2B Marketing

Reality check: 96% of marketing professionals now use AI daily, but the tools are "blindly leading marketers down dead-end rabbit holes." The AI Journal argues that core B2B fundamentals — understanding customers deeply, building emotional connections, creating mental cues — are getting lost in the metrics obsession. The prescription: use AI wisely, not as a sole solution.

Read on The AI Journal →
5

Triple Whale Repositions as the "AI Operating System for Commerce"

Triple Whale reported tracking $71 billion in GMV and $25 billion in ad spend across 65,000+ brands over the past year. They're now positioning their Moby AI operator as a full AI operating system for commerce — not just analytics. The pivot reflects where martech is heading: from dashboards to decision engines.

Read on Agile Brand Guide →

💡 My Take

Read this one: The BCG piece on "enterprise cortex." As AI agents proliferate, the companies that win won't be the ones with the best models — they'll be the ones who control the intelligence layer beneath them. If your business logic lives in someone else's system, your uniqueness becomes their commodity. Own the cortex or rent your competitive advantage.

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