Counterpoint Research analysts said Agentic AI is emerging as the next phase of the industry, shifting computing toward on-device, action-driven experiences and reducing reliance on traditional apps.
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Agentic AI describes autonomous systems that act on behalf of users by setting goals, planning steps and using tools to complete tasks with minimal supervision.
Unlike generative AI, which mainly responds, agentic AI takes proactive actions, learns from its environment and adapts to handle complex, multi-step workflows.
Companies are shifting toward these systems, with key players including OpenAI, Microsoft Corp (NASDAQ:MSFT), Alphabet Inc (NASDAQ:GOOGL) (NASDAQ:GOOG) Google, Anthropic, and Salesforce, Inc (NYSE:CRM) developing agent-driven platforms.
On-Device AI and Agentic Computing Take Center Stage
Counterpoint analysts said on Tuesday that Agentic AI is moving beyond generative use cases to enable systems that automate tasks securely and meaningfully.
They noted that on-device AI improves privacy, security, and control while supporting a future in which users interact conversationally and devices execute tasks end-to-end without relying on multiple apps.
Qualcomm and Ecosystem Partnerships Drive Performance
Analysts highlighted that Artificial General Intelligence (AGI) has optimized its models — from sub-1B to 8B parameters — to run efficiently on Qualcomm Inc (NASDAQ:QCOM) Snapdragon platforms, aligning LLM performance with Neural Processing Units (NPUs) in flagship chipsets.
They added that collaborations with Original Equipment Manufacturers (OEMs), such as Lenovo Group Ltd (OTC:LNVGY), and chip partners, such as Qualcomm, are enabling tailored, high-performance on-device AI experiences across smartphones and other devices.
Scalable AI Across Devices With Accessibility Focus
Counterpoint analysts said AGI’s approach combines on-device and cloud models to balance performance, efficiency and scalability. They noted the company’s agentic systems reduce app friction and improve accessibility, while its planned proactive, context-aware assistant can learn, plan, and execute tasks reliably.
Analysts added that the platform can scale across PCs, wearables, Extended Reality (XR) and smart homes, becoming more powerful over time through reinforcement learning.
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