The result is a more seamless experience where users spend less time manually managing apps and more time letting the phone handle routine tasks.
Smartphone Competition Is Changing
Counterpoint believes the smartphone industry is entering a new stage where AI execution matters more than standalone AI features or benchmark scores.
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Future devices are expected to compete on factors such as task execution quality, contextual understanding, ecosystem integration, intelligent automation, and overall reliability.
The research also outlines two different paths toward agentification.
Internet companies are likely to build AI agents around their existing app ecosystems, while smartphone manufacturers are expected to integrate system-native AI agents directly into the operating system for deeper control over device functions and cross-app interactions.
TECNO EllaClaw: A Practical Example
Counterpoint points to TECNO's EllaClaw as an example of how this new approach can work in practice.
Built using the Ella AI framework, the open-source OpenClaw platform, and Agent-to-Agent architecture, EllaClaw transforms a traditional AI assistant into an AI agent capable of completing tasks across multiple applications.
Its features include cross-app task execution and a one-tap phone caretaker that helps address battery drain, excessive data usage, device maintenance, and routine optimization.
TECNO also focuses on solving practical problems for users, particularly in emerging markets, instead of concentrating only on AI model size or benchmark performance.
What's Next?
Counterpoint believes the future of smartphones lies in practical AI that can complete tasks instead of simply responding to prompts.
As open frameworks such as OpenClaw become more widely adopted, agentic AI is expected to expand beyond premium flagship devices and reach mainstream smartphones.
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In the coming years, the most successful AI phones may not be those with the largest AI models, but those that deliver the most useful, reliable, and intelligent everyday experiences.