Agentic AI at Google Cloud Next: It’s Real, It’s Ready and It’s Here
Google Cloud Next 2025 wasn’t about distant potential, it was about immediate capability—and what it looks like when AI isn’t just powerful, but accessible.
The future of building starts with access
Google agentic AI is built around enablement. It’s not enough to have powerful models if those models aren’t usable by more people in more roles, and that’s what makes this year’s announcements so impactful.
Google announced the release of the Agent Development Kit (ADK), which simplifies how AI agents are built by providing modular components out of the box. The Agent Engine on Vertex AI makes deploying those agents at scale more secure and manageable, while the Agent2Agent (A2A) Protocol lays the foundation for collaboration between agents across organizational boundaries.
But the real game changer is Google Agentspace, a no-code interface that allows non-engineers to create and manage AI agents without writing a line of code. This is key to the aforementioned shift: when people who understand the problem can also build the solution, everything changes.
These tools form the basis of what is starting to look like a Google agentic framework, an early standard for Google agentic AI systems that can scale across the enterprise.
It’s about tools, and tools are about people
The rise of agentic AI is fundamentally changing who gets to participate in building technology. Previously, if you had a great idea for an internal automation or intelligent agent, your best option was to submit a ticket, write a proposal or hope for a development cycle.
Today, you can prototype it yourself.
This shift expands the creative process beyond traditional technical roles. Developers aren’t being replaced, they’re collaborating in new ways. They’re assembling systems, orchestrating workflows and scaling what others start. In that sense, AI agent development is no longer about building from scratch. It’s about composition, identifying reusable pieces and connecting them into something greater.
With this greater access comes faster cycles, broader participation and better alignment with actual business needs.
Agentic AI brings strategy into the automation conversation
Task automation has been around for decades, but the ability of agentic systems to reason about which tasks matter most, changes how we think about automation itself.
It also introduces the need for new forms of governance. Workday’s approach could be a model: their Illuminate platform uses an Agent System of Record to track and audit how decisions are made. As AI takes on more operational responsibility, transparency becomes critical.
This new class of tooling will require hybrid teams. Not just engineers and architects, but domain experts, analysts and operations leads. The tools are converging, and now, the teams need to do the same.
Early agentic AI adopters offer a glimpse of what’s next
Public examples from the broader industry show how quickly AI agent development services are already being put into production:
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ServiceNow is using autonomous agents to triage IT support tickets and reduce time to resolution.
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Salesforce’s Einstein GPT handles common customer requests like refunds and order changes through AI customer service agent logic.
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Jamf built a Slack-based AI copilot for internal IT support, which has already been widely adopted by employees.
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Workday is applying agent systems to streamline finance and HR workflows.
These aren’t isolated proofs of concept. They are live use cases that show how rapidly the field is evolving.
Google agentic AI is empowering the next generation of builders
The most exciting part of what’s happening now is the rise of a new kind of builder. The person closest to the business problem is now empowered to shape the solution. Platforms like Agentspace and Google agentic AI tools lower the barrier to entry without lowering the ceiling of what’s possible.
The future of enterprise AI will be built by more people, from more backgrounds, solving more problems. And that’s exactly what it will take to meet the moment.
Sometimes, all it takes is the right tool in the right hands. Now, more hands have those tools.
At GFT, we specialize in moments like this: inflection points where technology reshapes industries and rewrites the rules of what’s possible. The rise of agentic AI isn’t just a technical breakthrough, it’s a cultural and operational shift and we’re already at the forefront. If you want to ride this disruptive moment, schedule a call and see how GFT can help you build what’s next.
