Microsoft Build 2026: 7 MAI Models, Agent 365, and Project Solara
Microsoft's biggest Build ever just dropped a full-stack AI play: 7 in-house MAI models (including MAI-Thinking-1, a reasoning model matching Claude Opus on benchmarks), Agent 365 for enterprise governance, and Project Solara — an Android-based platform for agent-powered devices. The through-line: Microsoft is positioning itself as the platform for AI-native velocity while preserving the governance enterprise systems require. The Surface RTX Spark Dev Box with 1 petaflop of AI compute shows they're serious about edge inference too.
Read on ECI →AI Marketing's ROI Crisis: 94% Adoption, Only 41% Prove Value
Improvado's 2026 State of AI Marketing report reveals the adoption-value gap is widening: 94% of marketing teams now use AI, but only 41% can prove business outcomes — down from 49% last year. Meanwhile, 81% lack AI-specific KPIs. The piece frames it well: "The question has shifted from 'Does AI work?' to 'How do we measure, scale, and govern it responsibly?'" The transition from AI-as-tool to AI-as-infrastructure is real — but measurement frameworks haven't caught up.
Read on Improvado →51% of B2B Buyers Now Start with AI Chatbots
Forrester's 2026 State of Business Buying report ranks generative AI ahead of Google and peer referrals as the top buyer research interaction. G2's data shows 51% of B2B software buyers start vendor research with AI chatbots, and 83% feel more confident in their final purchase because of it. LLMs cite only 2-7 domains per response vs. Google's 10 blue links — making AI shortlist placement decisive. If you're not in the AI's answer, you're not in the deal.
Read on GrackerAI →Salesforce: Martech Reliability Matters More Than Features
Salesforce's "5 Martech Trends to Watch" makes a counterintuitive case: as platforms add AI agents, journey automation, and multi-channel orchestration, reliability becomes the differentiator. "A platform that performs reliably for batch email sends may behave differently when it's orchestrating complex, real-time, multi-step journeys at enterprise scale." For enterprise buyers, this is a reminder that AI capability means nothing without operational stability.
Read on Salesforce →Forbes AI 50 2026: The Definitive Enterprise AI List
Forbes released its 2026 AI 50 list — the annual ranking of the most promising AI companies. This year's list reflects the shift from pure model players to application-layer companies solving real enterprise problems. The criteria: revenue traction, technical differentiation, and real-world deployment. Worth scanning to see who's rising (and who fell off) in the race to embed AI into business workflows.
Read on Forbes →💡 My Take
Read this one: The Improvado piece on AI Marketing's ROI crisis. The 94% adoption / 41% proving value split is the defining challenge for enterprise tech leaders in 2026. The companies that win won't be the ones with the most AI — they'll be the ones that can measure it.