Why 2025 will be the year of AI orchestration

In the tech world, we like to refer to periods as the year of (insert milestone here). The past year (2024) has been a year of greater experimentation in AI and, of course, agent use cases.

With the beginning of 2025 VentureBeat spoke with industry analysts and IT decision makers to see what the year might bring. 2025 for many. will be the year of agents when all pilot programs, experiments and new AI use cases add up to something resembling a return on investment.

In addition, experts at VentureBeat talked about seeing 2025 as the year in which AI orchestration will play a bigger role in the enterprise. Organizations plan to make managing AI applications and agents much easier.

Here are some topics we expect to see more of in 2025.

More deployment

Swami Sivasubramanian, vice president of AI and data at AWSsaid that 2025 will be the year of productivity because executives will start to care more about the costs of using AI. Proving productivity becomes essential, and that starts with understanding how multiple agents, both in internal workflows and those that affect other services, can be made better.

“In an agency worldworkflows will be reimagined and you start asking about accuracy and how you achieve five times the productivity,” he said.

Palantir Chief architect Akshay Krishnaswamy agreed that decision makers, especially those outside the tech cluster, are beginning to worry about seeing the impact these AI investments will have on their businesses.

“People are rightfully weary of more sandbox because it’s apart of the whole data and analytics journey of the last 10 years where people have also done a lot of experimentation,” Krishnaswamy said. “If you’re a CEO, you’re like, ‘this has to be the year I really start to see a return on investment, right?’

An explosion of orchestration frameworks

As we enter 2025 there is a greater need to create an infrastructure to manage multiple AI agents and applications.

Chris Giangareddi, Managing Director of Deloittetold VentureBeat that next year will be very exciting. Contestants will stand up LangChain and other AI companies looking to offer their own orchestration platforms.

“Many tools are catching up to LangChain and we will see more new players emerge,” said Jangareddy. “Even before organizations can think about multiagent, they’re already thinking about orchestration, so everyone is building that layer.”

Many AI developers have turned to LangChain to start building a traffic system for AI applications. But LangChain is not always the best solution for some companies, which includes some new optionsMagentic by Microsoft or LlamaIndex enter. But for 2025 expect to see an explosion of even more new opportunities for businesses.

“Orchestration frameworks are still very experimental, with LangChain and Magentic, so you can’t stick to just one,” said Matt Wood, PwC’s global commercial technology and innovation officer. “The tools in this space are still early and will continue to develop.”

Better agents and more integrations

Artificial intelligence agents have become the biggest trend for enterprises in 2024. As organizations prepare to implement multiple agents into their workflows, the ability for agents to migrate from one system to another is becoming increasingly apparent. This is especially true when businesses want to demonstrate the full value of their agents to executives and employees.

Platforms like The foundation of AWSand even Slack, offer connections to other agents from of Salesforce Agentforce or ServiceNow, which makes it easy to transfer context from one platform to another. However, understanding how to maintain these integrations and training orchestrators agents identifying internal and external agents will become an important task.

As agent workflows become more complex, the recent crop of more powerful reasoning models, such as recently OpenAI announced 03 or on Google Gemini 2.0can make orchestrator agents more powerful.

However, all of this will be for naught if businesses don’t get their employees to actually use new AI tools in 2025.

Don Wu, Chief Data and Analytics Officer at New York Lifetold VentureBeat that the last-mile problem of employees often choosing more manual methods over AI will continue into the year ahead.

“The last mile problem is something we’ve all been grappling with in 2024, and understanding that change management, business process reengineering is maybe not as sexy as building an agent that can do all these amazing things Wu said. “It’s harder to change human behavior than to implement an app.”