80% of B2B Tech Buyers Now Use AI Agents in Purchasing
IDC research published this week reveals eight in ten B2B technology buyers are already using AI agents as part of their purchasing process — not a forecast, but current reality. Agents are surfacing vendors, filtering options, and shaping shortlists before human buyers ever talk to sales. For enterprise vendors: your content needs to be machine-readable, not just human-persuasive.
Read on MarketScale →96% of B2B Marketers Use AI, But Only 44% Have Data Infrastructure Ready
The 2026 Demand Gen Report survey and Adobe's AI Trends Report surface a brutal gap: nearly everyone's using AI, but less than half have the data plumbing to support it. The problem isn't the tools — it's fragmented data across CRM, automation, analytics, and warehouse systems that were never designed to talk to each other. AI adoption outpaces data readiness.
Read on MarketScale →Uniphore Launches Marketing AI: Beyond CDP to Customer Intelligence
Uniphore, named a Leader in the 2026 Gartner CDP Magic Quadrant, launches Marketing AI — a shift from data management to customer intelligence. The system builds a "digital twin" small language model for each customer, predicts individual behavior (not segment averages), and simulates campaign outcomes before you spend. The pitch: know customers better, predict what's next, simulate before committing budget.
Read on MarTech Cube →Tec-Do Closes Funding Round for Multi-Agent Marketing Platform
Tec-Do, the AI-powered martech firm behind the Navos Marketing Multi-Agent Platform, announced completion of a new financing round. Investors are betting on specialized MLLMs (marketing large language models) and coordinated agent systems that can deliver measurable business growth for enterprise customers. The "multi-agent" architecture is becoming the default for serious marketing AI.
Read on Manila Times →TechRadar: AI Usage Matters More Than Model Rankings
Reality check piece from Vercel's CTO. Enterprise AI adoption is moving past "which model wins the benchmark" to "how is AI actually being used." Token volume grew 29% while spend grew 27% — organizations are getting deliberate about routing tasks across models. Open-weight models now process 29% of tokens while accounting for less than 4% of spend. The smart money is on orchestration, not single-provider loyalty.
Read on TechRadar →💡 My Take
Read this one: The 80% stat on B2B buyers using AI agents is the story. If eight in ten of your prospects are using AI to shortlist vendors before they ever talk to your sales team, your GEO strategy just became existential. The question isn't whether to optimize for AI discovery — it's how fast you can ship content that agents can parse, trust, and recommend.