During Google Cloud Next 2025, Google announced a new generation of powerful AI systems and tools aimed at transforming the way companies build, deploy, and create artificial intelligence. Focusing on practical AI applications, Google announced everything from new AI chips to intelligent assistants and advanced models—all intended for business application in the real world.

The most talked-about announcement was the launch of Ironwood TPU, Google's seventh-generation AI chip. Each Ironwood pod contains over 9,000 chips and delivers 42 exaflops of capacity—24 times the capacity of the world's most advanced supercomputers today. More importantly, the chips are power-efficient, consuming half the energy, which is one of the biggest challenges of AI computing: the consumption of energy.

The future with AI is as large as it is," said Amin Vahdat, Google's VP of ML systems and Cloud AI. "With our new technology, we're in a golden age of AI innovation."

At Google Cloud Next 2025, performance was not the only thing in the limelight—it was usability. Google announced a wide range of AI tools for business users, including enhanced generative media tools, smarter AI models, and no-code agent builders. These allow non-technical users to create powerful AI systems with minimal effort.

One of the key features was the refresh of the Gemini AI line. Gemini 2.5 Pro is designed for complex domains such as finance and healthcare. It is capable of multi-step reasoning and in-depth analysis. Gemini 2.5 Flash is a more compact version that adapts to prompt complexity, delivering a good performance-cost balance. These are not merely big language models—they are "thinking models." They can logically dissect issues, make judgments, and even think through their own outputs.

Google is offering its 2-million-mile fiber network through Cloud WAN. This allows companies to tap into the same high-speed network that supports YouTube and Gmail. Google claims that Cloud WAN can enhance performance by as much as 40% and also lower network management expenses by a considerable amount.

To serve businesses even further, Google created a multi-agent system. With the new Agent Development Kit (ADK), developers can now create intelligent AI agents in fewer than 100 lines of code. Better yet, Google is encouraging Agent2Agent (A2A), a platform that allows AI agents from various businesses—e.g., Salesforce, SAP, and ServiceNow—to collaborate.

This implies a transition to open, common AI rather than closed systems. That is, companies can access the best solutions of multiple providers without compatibility issues.

At a demonstration, Google demonstrated how a manager of a bank account would be able to utilize Agent Space to review customer data, predict cash flow, and trigger targeted emails—all without writing a single line of code. All these capabilities make AI accessible to business teams, not engineers.

Google is also applying AI to Workspace applications. "Help me Analyze" in Sheets discovers insights without the need for formulas. "Audio Overviews" in Docs transform documents into simple-to-follow summaries. These applications demonstrate that Google's 2025 AI updates are not merely for large tech firms—these are meant for day-to-day business tasks.

At Google Cloud Next 2025, Google promoted its end-to-end approach: it provides bespoke AI chips, multi-agent systems, generative media software, and model hosting—on the same platform. This puts it directly in competition with Microsoft and Amazon, which are more intensely focused on specific areas of AI. By creating all the way from the chip to the chatbot and supporting open standards, Google is making it simpler for firms to utilize strong AI without having to be locked into one vendor.