Why 2025 Could Be the Year of AI Orchestration
In the tech industry, we often label specific years as milestones, and 2024 was undoubtedly a year of experimentation in AI, particularly with agent-driven use cases.
As 2025 begins, insights from industry analysts and IT decision-makers suggest it could become the year of agents delivering tangible returns on investment. This will also mark a turning point for AI orchestration, as organizations look to simplify the management of multiple AI applications and agents.
Here are some key themes shaping 2025:
Increased Deployment
Swami Sivasubramanian, VP of AI and Data at AWS, predicts 2025 will be a year of productivity, driven by a growing focus on the costs and efficiency of AI. Businesses will prioritize workflows involving multiple agents to maximize productivity and accuracy.
“In an agentic world, workflows will be reimagined. The focus will shift to achieving fivefold productivity gains,” Sivasubramanian said.
Akshay Krishnaswamy, Chief Architect at Palantir, emphasized that executives, especially outside the tech sector, are eager to see results.
“After years of experimentation with data and analytics, decision-makers want 2025 to deliver clear ROI,” Krishnaswamy noted.
An Explosion of Orchestration Frameworks
The need to manage multiple AI agents and applications has created demand for robust orchestration infrastructure.
Chris Jangareddy, Managing Director at Deloitte, sees 2025 as an exciting year for orchestration frameworks, with competitors emerging to challenge established players like LangChain.
“A lot of tools are catching up to LangChain, and we’ll see even more new players entering the space,” Jangareddy said.
Alternatives like Microsoft’s Magentic and LlamaIndex are already making waves, but the field is expected to expand further. Matt Wood, PwC’s Global Commercial Technology and Innovation Officer, highlighted the experimental nature of these frameworks.
“Tooling in this space is still in its early stages, and it’s only going to grow,” Wood said.
Better Agents and Seamless Integrations
AI agents dominated enterprise trends in 2024, and their role will only expand in 2025 as organizations integrate agents into workflows spanning multiple systems.
Platforms such as AWS’s Bedrock and Slack enable connections with agents like Salesforce’s Agentforce or ServiceNow, facilitating seamless context sharing between systems. More powerful reasoning models, like OpenAI’s GPT-4 Turbo or Google’s Gemini 2.0, could further enhance orchestrator agents.
However, Don Vu, Chief Data and Analytics Officer at New York Life, cautioned that achieving adoption will be critical.
“The last-mile problem, where employees prefer manual methods over AI tools, remains a challenge,” Vu said. “Changing human behavior is harder than deploying advanced applications.”
As enterprises move into 2025, success in AI orchestration will depend on addressing these adoption hurdles and ensuring new tools deliver on their promise of productivity and innovation.
