Dive Brief:
- Google Cloud introduced enterprise customers to Agentspace, a service designed to create and deploy AI agents, in a blog post Friday.
- Currently available through an early access program, Agentspace provides enterprises with a multimodal search agent that answers complex questions, makes proactive suggestions and takes action based on company information, Google said. Customers can also customize agents to conduct better research or draft content among other tasks.
- Google touted Deloitte as an early adopter of the platform. Knowledge management teams at the consulting firm are using Agentspace to unify scattered information, according to the blog post.
Dive Insight:
Leading AI players — including OpenAI, Google, Microsoft and AWS — are closing out the year in a similar fashion to how it started: with a flurry of AI-related announcements.
The model blitz kicked off last week with the launch of AWS’ Nova family of models. OpenAI joined in Monday with the release of its video generation model Sora. Google released Gemini 2.0 Wednesday, followed by Microsoft’s introduction of small language model Phi-4 on Thursday.
Vendors are up against higher customer expectations as the year-end model push unfolds.
“The enterprise IT leaders have an overwhelming choice of models today,” Arun Chandrasekaran, distinguished VP analyst at Gartner, said in an email.
Tech leaders are looking to providers to showcase the business value and use cases of models. To put it simply, vendors have to work harder to gain enterprise buy-in on new models than they did before.
The model blitz is coming as CIOs face pressure to address adoption roadblocks and reach AI goals.
Attracting enterprise attention requires use-case-specific capabilities as CIOs prioritize reaching ROI and adding value at a faster pace, Chandrasekaran said.
Agentic capabilities have somewhat of an edge in capturing enterprise attention in this wave compared to model announcements. More than 4 in 5 executives intend to integrate AI agents within the next three years, according to Capgemini data.
Vendors are stepping up to meet interest. Microsoft added capabilities to ease agent development last month. Meta, SAP, Salesforce, Slack and now Google have started shifting messaging away from copilots to more autonomous tools.
Adoption hurdles and implementation roadblocks are already numerous. Analysts expect the addition of agentic AI to enterprise tech stacks will further complicate governance and security challenges.
