Google Next ’25 was massive. So, what’s next for business? Zazmic was on the ground, and Yann Kronbeg, Omer Khawar, and Matt Thompson are breaking it down in our special podcast episode. Hear Zazmic’s take on the real business impact: the shifts, opportunities, must-knows, and a few personal highlights.
Arham: What were some key highlights from attending Google Cloud Next ‘25 in person?
Matt: The expo was absolutely amazing. I really enjoyed going there. The one thing for me that I loved as a sports fan is Google had this AI basketball coaching simulator. It was a half-court NBA size three-point line where you could shoot basketball. It measured your shooting form, the arc of the ball, whether you made or missed a shot, and the shot’s difficulty, then gave you a score. You could look around and see your score, and the coaches’ recommendations were amazing.
And then just overall, the atmosphere was great, with Googlers, customers, and partners all there. Partners visited other booths, learning a little bit more about what others were doing in technology.
Thomas Kurian also spoke to us at The Sphere. We actually got to see how Google Cloud, DeepMind, and The Sphere came together to remake The Wizard of Oz. It was one of the coolest things I’ve probably ever seen.
The Wizard of Oz is a classic movie, and the fact that they were able to leverage AI by going way back into the repositories of film and notes, and bringing that picture back to life in 2025, was just absolutely amazing.
Omer: A lot of really productive conversations happened. Not your standard “I’m at a conference” chitchat, but discussions focused on how to actually get work done with all these new tools.
Arham: How will businesses adopt new AI agents?
Omer: We’re looking at the possibility of running entire workflows directly within Google Workspace. Using Agentic Frameworks, we’re already enabling customers to stay completely in Workspace and leverage tools inside of Vertex AI.
Yann: That’s really the first year that we see from a Google point of view AI coming together, integrated with their products. Agentspace integrated with GCP in a very seamless way. It’s really here today and it’s really ready to be used for anyone, even if you’re not too techy.
Because of the accessibility of the technology and how cost-effective it is, the barrier to entry to certain industries, whether it’s management consulting, is just getting lower and lower. And I think it’s going to create tons of opportunities for little companies to do way more. Lots of competition, lots of jobs for the people that want them. It’s fascinating. I think we’re on to something here and I’m curious to see where we’ll be in two years. But there are a lot of changes in the landscape of which company will dominate certain markets.
Arham: How can dev teams leverage the new agent kit?
Omer: Zazmic development teams are already leveraging LLMs to add intelligence where we’d normally iterate through business logic. It’s very nimble. We now give the customer the ability to recode or modify the business logic on the fly. This reduces time to market because we don’t have to code a lot of the business logic on the backend; we can just write a prompt to do the same thing.
As we start putting more of these components into the solution, the multi-agent framework announced in the developer keynote will be critical. It ensures all those little nuggets of logic work together. We can now have focused agents take some load off developers and existing staff, really focusing on places where use cases are undefined or requirements are soft. Once things are solidified and very prescriptive, we can then swap out that higher-cost LLM call for lower-cost code delivery for something very repetitive and predictive. So, it’s really about mixing agents with code sensibly.
Yann: It makes things easier for developers, it makes things easier for customers, and AI is everywhere. Today, if you’re an engineer, you can consume a model and use AI when you develop. The promise of having 10x productivity is here today.
Arham: Which announced product are you most excited about?
Matt: Using Agentspace, we’re leveraging our own CRM, HubSpot, to ask questions. For example, if I have 120 customers in my book of business, I can ask about them. I take all my notes, and then I can ask: “When’s the last time I followed up with this customer?” or “What’s the next step with this customer?” We’re also using NotebookLM to summarize information quickly.
I see this as leveraging AI from the lead source, into the CRM, and then into actionable insights – all while using AI. We’re also cross-collaborating with the team on different use cases using shared folders. For instance, if I’m looking for a specific use case and my teammate spoke with a customer but is busy, I can just search our folder repository. I can find a use case on healthcare and clinics, and how Zazmic has built solutions for a customer. I can then use that to formulate a strategy for talking with my upcoming prospect and help land that deal. These are some ways I believe we can implement AI for ourselves.
Omer: The advent of Agentspace has been truly groundbreaking for my own workflow. As I filter out all the channels that hit me every day and look at the work I need to do, it’s really allowing me to leverage myself across more things.
Arham: How does Google stand out in the crowded Cloud & AI space?
Yann: Overwhelmingly, Google was the favorite platform for cloud, and when it comes to AI, it’s just a natural option for most startups. They will also make a dent in the enterprise market because of their ease of use and the integration they have with their infrastructure, which is better than other platforms. You’ll see that they’ll do more and more, gaining market share across segments for sure.
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