How AWS And Google Cloud Create Agentic AI Opportunities For Partners
AWS and Google Cloud are launching a slew of new agentic AI innovation in 2025. Here’s how partners are cashing in.
The biggest cloud companies in the world are betting their future on agentic AI as Google Cloud and AWS invest millions each quarter to launch new AI agent offerings that are ripe for channel partners to build services and solutions on top of.
“Agentic AI is the biggest opportunity for partners, with billions of dollars of economic impact in terms of productivity from delivering agents within customers,” Google Cloud CEO Thomas Kurian told CRN this year. “That’s where we see the future.”
Google Cloud has built a slew of agentic AI offerings for partners to leverage including its AI platform Agentspace that binds together Gemini and Google’s search and data capabilities to provide the channel the ability to build custom AI agents.
[Related: Nivida And Google Cloud Unveil New Innovations: 5 Gemini, Blackwell And AI Things To Know]
Google Cloud all-star AI partner Onix built a new agentic AI platform, dubbed Wingspan, that unifies all of a client’s data and applications and automates intelligence. It is designed to help customers overcome the most common challenges related to getting data ready for AI adoption, said Onix CEO Sanjay Singh.
Singh said Wingspan is a “data to AI platform” that leverages Google Cloud agentic AI technology, including end-to-end compatibility with Agentspace. Onix has helped over 1,000 enterprises with their AI journey.
“Because of our Wingspan platform, we’re able to make AI go into production. We are able to take those AI agents and show business value. Once we show business value on a proof of concept, we have many large customers who have 300 to 400 AI use cases to be enabled just for that one customer,” Singh said. “So you can imagine, even if you take our large set of customers and they have a reasonable set of AI deployments, it’s a huge market out there.”
Gartner predicts that by 2028, at least 15 percent of day-to-day work decisions will be made autonomously through agentic AI, up from virtually zero in 2024.
With agentic AI innovations like Agentspace and its Agent2Agent protocol, Kurian said his $49 billion cloud company is enabling partners to “create an agent to do literally anything” for customers.
AWS Pouring R&D Into Agentic AI
AWS, the largest cloud computing provider in the world, is also placing its cloud and AI future on agentic AI via channel partners.
The $117 billion cloud titan is launching new agentic AI technology at breakneck speed in 2025, such as AWS’ new open-source software development kit for AI agents, Strands Agents, in May—aiming to simplify the creation of production-ready AI agents with just a few lines of code.
“It’s a testament to AWS’ commitment to open source and interoperable AI standards,” said AWS CEO Matt Garman on LinkedIn in May. “We believe the full potential of agentic AI can only be realized through collaboration and shared innovation.”
AWS recently signed a strategic collaboration agreement (SCA) with solution provider ClearScale, in part, to boost ClearScale’s AI opportunities in the SMB market.
“We’re in a place now with AWS where it’s really a big focus on bringing value to customers in terms of, ‘Let’s get AI implementation out to production,’” ClearScale CEO Jimmy Chui said. “We’re partnering with AWS around the broader AI data platforms that sit on top of AWS services that properly segregates customer data so that you can perform this safely without worrying that a customer is going to run AI processes and include some other customers data. So we’re building this platform [with AWS] that’s safe and secure to use in production.”
One successful AI-powered service for ClearScale has been its VMware Cloud on AWS exit assessment, which leverages AI to assess a customer’s current VMware Cloud on AWS environment, then develops a strategy for exiting VMware in favor of AWS cloud-native services.
Overall, cloud companies like Google Cloud and AWS are doubling down and counting on channel partners to deploy and manage a customer’s AI journey.
“We are a products company. We want partners who can deliver services and solutions to customers,” said Google Cloud’s CEO. “We are monetarily investing a lot more in our partner ecosystem to build AI solutions on top of our platform. Because we enable an open platform and interoperability, it allows the addressable market for our solutions to be as wide as possible, which in turn, is creating a lot of opportunities for our partners.”
