Our Google Cloud Next '26 Shortlist: Three Threads We're Following at Next '26
A Partner Perspective on the announcements that are likely to matter most to the mid-market.
Google Cloud Next '26 kicks off April 22 at Mandalay Bay in Las Vegas, with the Partner Summit on April 21 and three days of keynotes, technical sessions, and announcements running through April 24. Every Google Cloud Partner on the floor is there for the same reason: to translate what gets announced into what to tell clients on Monday.
Three areas we're paying close attention to.
Gemini and Vertex AI advancements. Each successive Gemini and Vertex AI release has reshaped what's possible in production AI work. We're attending the workshops and talking to Google engineers and product leads on the floor, partly to absorb the new capabilities and partly to pressure-test the reference architecture designs we've already shipped for clients against what's coming next. The introduction of CX Agent Studio is a particular focus: agent tooling and developer interfaces are evolving fast, and seeing the surface up close changes how we recommend teams build agentic workflows in the next two quarters.
The Secure AI Framework (SAIF). Several breakout sessions this year center on AI security (prevention, detection, and controls) and on how Google Cloud's framework is hardening the foundations underneath production AI workloads. With new models coming online faster than most security programs can adapt, the security posture for AI-powered applications is the conversation that needs to happen before the launch, not after the audit. We'll be tracking the new controls, identity primitives, and AI-specific guardrails closely. Most of what gets announced here lands inside our Cloud Security Foundations and AI Security Foundations engagements within weeks.
Real use cases across sectors. The hallway conversations and customer sessions are where the interesting patterns surface. We want fresh perspectives on how teams in financial services, healthcare, retail, manufacturing, and the public sector are actually tackling the harder questions: agent reliability, data residency, model evaluation, change management. Specifically, we're hoping for substantive content on AI economics: ROI frameworks, KPIs that executives can actually defend in a board meeting, and the unit economics that move "interesting pilot" into "funded program." Most of the AI-adoption hesitancy we see in mid-market and enterprise leadership comes down to a missing financial story, and Next is one of the few places where that conversation gets aired in the open.
How we'll translate it.
Proplr will publish two reads of the announcements within 48 hours of the opening keynote: a Partner Perspective for leadership teams (architecture and investment implications) and a technical walkthrough for engineering audiences. If you're going to be at Mandalay Bay, we'd love to grab 20 minutes; if you're watching the livestream, subscribe for the recap.
Next is the week the 2026 cloud roadmap gets repriced. We'll be there to help you figure out what changed and what to do about it.
