Google Cloud Next 2026 in Las Vegas was huge! 32,000 attendees, 260 announcements, 3 keynotes, 25 spotlights, 700+ breakout sessions, 490 sponsor activations, and 15 puppies (more about the puppies later).
Five things stood out to us.
1. The Agentic Enterprise is becoming the new operating model
The conversation has moved beyond chatbots and copilots. Google Cloud is now clearly focused on agentic systems that can reason, plan, act and work across business processes. For organisations, the question is changing from “What can we use AI for?” to “Which workflows can AI help us complete end to end?”. By the end of 2026, with Gemini Enterprise becoming a central part of that operating model, the value of AI will increasingly be defined by completed actions, not just answers.
2. Production readiness matters more than experimentation
A successful proof of concept is no longer enough. The real challenge is whether AI can be deployed safely, reliably and at scale. That means thinking about data, integration, performance, monitoring, testing, optimisation, handover and measurable outcomes from the start. This is where the move toward platforms such as Gemini Enterprise Agent Platform becomes important. Organisations need a way to build, govern, scale and optimise agents in production, not just prove that an idea works in isolation. The winners will be those who can turn high-volume use cases into services that customers and teams actually use.
3. Governance and trust are now core requirements
As AI agents become more capable each month, governance becomes more important. Customers need confidence in what agents can access, what they can say, what actions they can take, when they escalate and how performance is measured over time. Responsible AI now moves from policy language into practical delivery. That means guardrails, grounding, auditability, data controls and human oversight need to be designed from day one. Capabilities such as Agent Observability and Model Armor are part of this shift from AI experimentation to controlled enterprise deployment.
4. Customer Experience is one of the clearest places to start
Customer service, sales support and digital self-service remain the most practical areas for agentic AI. They usually have clear pain points, high interaction volumes, measurable costs and obvious opportunities to improve speed, consistency and resolution. For many organisations, the best first move may not be a broad enterprise AI transformation. It may be a handful of high value customer journeys where AI can reduce friction, support staff and improve customer outcomes quickly. The real opportunity is to keep improving those journeys over time, using capabilities such as Agent Assist, Quality AI and CX Insights to identify what is working, where customers still need help and where automation can deliver more value.
5. Retail and commerce are moving from static journeys to AI led experiences
Retail was a strong signal throughout the event. The direction is moving from customers searching, filtering and navigating on their own to AI helping them discover, compare, decide, buy and resolve issues in a more connected way. This is where Gemini Enterprise for Customer Experience becomes highly relevant for retailers and service-led organisations. It points to a future where digital experiences can understand intent, use context and help customers complete the task, not just point them to information.For retailers, service and CX led organisations, this creates a new benchmark.
And finally, the Puppies.
The Google Cloud Puppy Playground was a first for us at fullstop.ai, and possibly the best non AI disruption of the week. In the middle of three packed days of world-class AI infrastructure, capability and customer experience, those three minutes were a wholesome respite.
See you in 2027 Google Cloud Next.