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In the tech world, we like to label periods like the year of (insert milestone here). Last year (2024) was a year of broader experimentation in AI and, of course, agentic use cases.
As 2025 dawns, VentureBeat spoke with industry analysts and IT decision-makers to see what the year might bring. For many, 2025 will be the year of agents, where all pilot programs, experiments and new developments AI Use Cases converge towards something resembling a return on investment.
Additionally, VentureBeat experts have pointed to 2025 as the year when AI orchestration will play a larger role in business. Organizations plan to make managing AI applications and agents much simpler.
Here are some themes we expect to see more of in 2025.
More deployment
Swami Sivasubramanian, Vice President of AI and Data at AWSsaid 2025 will be the year of productivity as executives begin to care more about the costs of using AI. Proving productivity becomes essential, and that starts with understanding how multiple agents, both within internal workflows and those that touch other departments, can be improved.
” In a agent worldworkflows are going to be reinvented and you start asking questions about accuracy and how to achieve five times productivity,” he said.
Palantir Chief architect Akshay Krishnaswamy acknowledged that decision-makers, particularly those outside the tech hub, are starting to worry about the impact these AI investments will have on their businesses.
“People are rightly tired of the increase in sandboxing, as this is a continuation of the entire data and analytics journey of the last 10 years, during which people have also done a ton experimentation,” Krishnaswamy said. “If you’re an executive, you’re thinking, ‘This must be the year I actually start seeing some return on investment, right?’ »
An explosion of orchestration frameworks
By 2025, there will be an increasing need to create infrastructure to manage multiple AI agents and applications.
Chris Jangareddy, Managing Director of Deloittetold VentureBeat that next year will be very exciting. Competitors will face LangChain and other AI companies looking to offer their own orchestration platforms.
“A lot of tools are catching up with LangChain and we’re going to see more new players pop up,” Jangareddy said. “Before organizations can even think about multi-agents, they’re already thinking about orchestration, so everyone is building that layer. »
Many AI developers have turned to LangChain to begin building a traffic system for AI applications. But LangChain isn’t always the best solution for some businesses, which is why new options includingMagentic from Microsoft Or LamaIndex But for 2025, expect to see an explosion of even more new options for businesses.
“Orchestration frameworks are still very experimental, with LangChain and Magentic, so you can’t just stick with one,” said Matt Wood, PwC’s global head of business technology and innovation. “The tooling in this area is still early and will only continue to grow. »
Better agents and more integrations
AI agents have become the biggest trend for businesses in 2024. As organizations prepare to deploy multiple agents into their workflows, the ability for agents to move from one system to another becomes more apparent. This is especially true when companies seek to demonstrate the full value of their agents to management and employees.
Platforms like The foundation of AWSand even Slack, offer connections to other agents since from Salesforce Agent force Or ServiceNow, facilitating the transfer of context from one platform to another. However, understanding how to support these integrations and Educational orchestration agents identifying internal and external agents will become an important task.
As agent workflows become more complex, the recent generation of more powerful reasoning models, such as that of OpenAI recently announced 03 or that of Google Gemini 2.0could make orchestrator agents more powerful.
However, all this will be in vain if companies do not encourage their employees to actually use new AI tools in 2025.
Don Vu, Head of Data and Analytics at New York lifetold VentureBeat that the last-mile problem of employees often choosing manual methods over AI will persist into next year.
“The last mile problem is something we’ve all faced in 2024, and understanding that change management, business process re-engineering may not be as sexy as creating an agent that can do all of those things incredible,” Vu said. “It is more difficult to change human behavior than to deploy an application.”
