"In 2026, AI Orchestration will happen on the desktop - not in the cloud - and it will be "Integrative" in nature. I am convinced that agentic orchestration (the kind that actually helps individuals and teams be more productive) will happen at scale on the desktop and not in the cloud (look no further than StationOne as a reference example)."
"Every major brand has governance requirements on how data can be used in AI applications. The implication of this is both a rise in Shadow AI projects that are going to happen on localized environments (on machines) and a rise in AI solutions that have a de minimis amount of compliance hoops to get through for approval (using API keys already approved by brands and running on machines of employees and not via a third-party SaaS tool)."
"We believe that the above describes what we call 'Integrative AI' as it brings together the resources that people currently use, with models that they're allowed to use, to produce better productivity results through consistent team-based prompting templates. StationOne is a perfect example of this and our top prediction is that this category (Integrative AI) will see major growth and will be the primary productivity use-case of AI in the enterprise."
In 2026, agentic AI orchestration will primarily run on desktop environments rather than in the cloud, connecting local workflows with approved foundation-model APIs. Major brands are signing enterprise deals with foundation model providers, so tooling that leverages master-agreement APIs will be preferred or mandated. Enterprise governance and data-use requirements will push projects toward localized, employee-run environments and favor solutions with minimal compliance overhead. Workers will author and integrate agentic tools with allowed models to improve speed and quality. Integrative AI combines existing resources, permitted models, and team prompting templates to drive productivity at scale. StationOne exemplifies the approach.
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