Salesforce Commits $1B to Switzerland's Agentic AI Transformation
Salesforce announced a five-year, $1 billion investment in Switzerland to accelerate the country's agentic AI adoption. Marc Benioff made the announcement ahead of the AI for Good Global Summit in Geneva. The move includes expanding local workforce development, partnering with Swiss enterprises on Agentforce deployments, and supporting AI skills programs. Notable early wins: Oviva handling 300K monthly customer messages autonomously, FREITAG's "FRIDA" agent hitting 95% customer satisfaction, and the World Economic Forum's "EVA" concierge serving 3,000 leaders at Davos.
Read on Salesforce →Adobe DSP Gets Custom AI Algorithms Powered by First-Party Data
Adobe Advertising launched Custom Algorithms, finally fulfilling TubeMogul's decade-old promise. The breakthrough: Adobe's DSP now uses raw Adobe Analytics data directly to train bidding models and optimize campaigns — not filtered API data. Brands get access to app and web traffic patterns, bounce rate analysis, and critically, first-party identity data that DSPs typically never see. Unlike Google's PMax or Meta's Advantage+, Adobe uses only the brand's own data, not walled garden data. The catch: CPG brands with limited transaction data see less advantage.
Read on AdExchanger →Adobe Deploys Creative Agents Across Photoshop, Premiere, Illustrator
Adobe expanded its creative agent architecture across Firefly and core Creative Cloud apps. The upgrade introduces multi-step workflow orchestration — describe a visual outcome and the system executes sequential tasks automatically. In Premiere, agents auto-sort raw assets and batch-rename clips. In Illustrator, they run color mode checks and generate 50 versioned files from spreadsheets. New "Elements and Projects" features let teams save characters, locations, or objects for reuse across generations. As David Wadhwani put it: "Every creative now has an agent capable of helping them execute across every app."
Read on AI Software Report →Marketing Cloud Next Forces MarTech to Rethink Professional Identity
Thoughtful piece on Salesforce Ben about what Marketing Cloud Next means for careers. The shift: Salesforce rebuilt Marketing Cloud within Core architecture, not alongside it. Marketers now operate across CRM, Data 360, Flow, Tableau, and Agentforce simultaneously. The author argues this demands "T-shaped" talent — deep marketing strategy expertise plus broad working knowledge of every architectural component. Platform specialists aren't enough anymore. Technical work reduces as capabilities become native. The new currency: ability to architect, translate business goals into composable capabilities, and empower marketers rather than gatekeep complexity.
Read on Salesforce Ben →ManageEngine: Enterprise AI Readiness, Not Models, Will Determine Success
At the Southeast Asia UserConf in Jakarta, ManageEngine CEO Rajesh Ganesan delivered a reality check: "The AI outcome will not be delivered by the smartest model that you can buy. It will be delivered by the readiness of your infrastructure, of your team." Most enterprises remain "AI-curious" — only a small fraction are "AI-driven." The obstacles: fragmented data, weak governance, poor operational visibility, plus rising GPU costs and token expenses. The company also noted organizations will increasingly rely on smaller, task-specific AI models rather than one giant model for everything.
Read on Manila Times →💡 My Take
Read this one: The Salesforce Ben piece on Marketing Cloud Next and T-shaped talent. It's not about a product launch — it's about the end of siloed platform expertise. When marketing automation sits inside CRM architecture alongside data, analytics, and AI, the specialists who thrived in isolated tools face an uncomfortable reckoning. The winners will be generalists who can connect strategy to execution across the whole stack.