Summary Bullets:
• The Google Cloud summit was held in London (England) on July 9-10, 2025. The company said there are now over seven million developers operating within Google Vertex AI Studio.
• The company has expanded into 42 cloud regions, adding that 90% of AI unicorns are running on Google Cloud.
Google Cloud highlighted a wealth of customer cases during the Google Cloud summit held in London on July 9-10, 2025. Google Cloud has a data center in Waltham Cross (England), which will be fully operational by end-2025 to provide British businesses with high-performance computing (HPC) services. Various new capabilities for agentic AI that are aligned with business needs were highlighted. This shows strong momentum, but there are a few considerations for Google Cloud to strengthen its position in the enterprise, such as the need for stronger skills in the area of consulting, for example.
In line with the market direction, most new services and features are around agentic AI. Google Cloud unveiled plans to introduce a portfolio of purpose-built agents created through its experience in working across different industries, following patterns that are consistent across different sectors. There are other capabilities in the platform that mean users can create their own agents with no-code or low-code just by clicking a button or having a voice conversation. For an in-depth analysis of the event, please see GlobalData’s report, Generative AI Watch: Google Cloud Announces Customer Cases Leveraging Multi Agent Tools, July 11, 2025.
Google Cloud emphasized that is not necessary to build the AI agents within the Google environment. Customers can bring their own models, for example, if the company’s developers have created agents on external platforms such as Salesforce Agentforce and/or Microsoft Copilot, they can still deploy them on the Google Agentspace platform. The company is committed to building an ecosystem that gives users space and has collaborated with professional partners such as Capgemini, Accenture, and Deloitte as well as large software providers such as ServiceNow and Salesforce to ensure interoperability.
As part of the drive for interoperability, Google Cloud has launched the agent-to-agent (A2A) protocol within Google Vertex AI, its ML platform. While the model context protocol (MCP) is an open framework created by Anthropic that standardizes how large language models (LLMs) integrate data with external tools, and has enjoyed widespread adoption in the industry, Google wanted to take this a step further. To help firms integrate its prebuilt AI agents into their workflows, the A2A protocol aims to help AI agents be able to collaborate in a multi-agent ecosystem across siloed data systems and applications. A2A has had contributions from more than 50 technology partners like Langchain, MongoDB, Salesforce, SAP, ServiceNow, Accenture, BCG, Capgemini, Cognizant, Deloitte, KPMG, McKinsey, and more. The A2A protocol helps AI agents communicate with each other securely.
Fittingly for a UK summit, one of the presentations by customers included the UK government. Google Cloud EMEA has become a strategic partner of the UK Government to drive an ambitious digital transformation project to modernize the British government’s AI strategy and assets. Peter Kyle, Secretary of State for Science, Innovation and Technology (DSIT), took to the stage during the keynote to explain how his department secured almost GBP2 billion from the UK Spending Review 2025 (SR25) to implement the plan, moving straight to a hands-on product with the new trial version of the gov.uk app. Google Cloud will help it deal with a huge technical debt in the form of antiquated legacy systems that will be gradually replaced with a cloud-based service. The current contracts are very expensive, and the project is supposed to save the British taxpayer millions.
To sum up, some of the capabilities demonstrated during the event show Google Cloud’s strong momentum in the rapidly evolving cloud and AI markets. The company also showcased many customer references across multiple industries. However, competitors are also moving at a similar pace. For example, Amazon Web Services (AWS) recently added multi-agent collaboration to its Amazon Bedrock platform and is increasingly promoting open-source by adding support for Strands Agent (i.e., an open-source agent software development kit), and Model Context Protocol.