Smartphones are moving toward a new generation of artificial intelligence experiences, and MediaTek wants its latest flagship processor to help lead that transition. The company's Dimensity 9600 Pro combines a 2nm manufacturing process with a dual-neural processing unit architecture designed to run increasingly sophisticated AI workloads directly on mobile devices.
Announced on September 15, 2026, the processor represents a shift in smartphone hardware priorities. Instead of focusing exclusively on faster applications, gaming performance and camera improvements, chipmakers are increasingly designing processors to support AI assistants that can understand context, respond proactively and perform tasks across applications.
Why the Dimensity 9600 Pro Is Different
The Dimensity 9600 Pro uses a 2nm manufacturing process and an eight-core CPU configuration arranged in a 2+3+3 design. MediaTek says the architecture delivers up to 17% higher single-core performance and 15% higher multi-core performance compared with the previous generation.
More importantly for AI applications, the processor integrates two dedicated neural processing units. The NPU 1090 is designed for demanding generative AI and agent-based workloads, while the second-generation Super Efficient NPU is intended to handle lower-power, always-on AI operations.
According to MediaTek, the architecture can reduce power consumption for always-on AI workloads by 40%. The company also claims a 51% improvement in large language model prefill performance and 55% higher token generation per watt compared with the previous generation.
AI Agents Could Become a Bigger Part of Smartphones
One of the most significant features is the Dimensity Agentic AI Engine. Unlike conventional voice assistants that primarily respond to individual commands, AI agents are designed to interpret information, plan actions and interact with different applications to complete tasks.
MediaTek says the Dimensity 9600 Pro supports advanced on-device AI applications, including models with up to 30 billion parameters. This could enable smartphone manufacturers to develop assistants that analyze information stored on a device, provide personalized recommendations and perform certain tasks without sending every request to a remote cloud service.
Local AI processing could also offer advantages in responsiveness, connectivity independence and data privacy. However, the actual experience will depend on the AI model, memory capacity, software optimization and the implementation chosen by each smartphone manufacturer.
Smaller Chips, Bigger AI Ambitions
The move to a 2nm process is important because smartphone manufacturers must balance increasing computing demands with limited battery capacity and thermal constraints. More advanced AI features can require sustained processing, making energy efficiency a major factor in future mobile hardware design.
MediaTek says its new architecture reduces multi-core power consumption by 61% while improving performance compared with the previous generation. These figures are based on the company's stated comparisons and should not be interpreted as guaranteed battery-life improvements in every smartphone.
The processor also introduces support for LPDDR6 memory and UFS 5.0 storage. Faster memory and storage can help move data between applications and computing units, which becomes increasingly important when smartphones run larger AI models and multiple background processes.
Gaming and Mobile Photography Also Get an Upgrade
Although AI is a major focus, MediaTek has also introduced improvements for graphics and imaging. The integrated G2-Ultra NX GPU is claimed to deliver up to 27% higher peak performance, 24% lower power consumption at peak performance and 18% faster ray tracing compared with the previous generation.
The chip also includes the Imagiq 1290 image signal processor and an AI Imaging Fusion Architecture. These technologies are designed to combine image processing and neural computing for improved photography, subject tracking and video capture.
MediaTek lists support for features including 4K240 slow-motion video capture and advanced AI-assisted imaging. Actual camera performance will depend on the smartphone's camera sensors, lenses, software and manufacturer tuning.
What It Means for the Smartphone Industry
The Dimensity 9600 Pro reflects a wider industry shift toward on-device intelligence. Smartphone makers are competing to deliver AI features that operate more quickly, remain available in the background and rely less heavily on remote computing infrastructure.
That shift could also influence competition between MediaTek, Qualcomm and other mobile chip suppliers. As AI becomes a central part of premium smartphone experiences, processor performance will increasingly be judged by how efficiently devices can run models and coordinate AI tasks, rather than by traditional CPU and GPU benchmarks alone.
When Will Consumers See These AI Features?
MediaTek has said that smartphones powered by the Dimensity 9600 Pro and the related Dimensity 9600M platform are expected to arrive in the market. The company has identified handset manufacturers including Xiaomi, Oppo and Vivo as customers for its mobile chipsets, although the exact features and availability will vary by device.
Consumers should not assume that every phone using the processor will support every advertised AI capability. Manufacturers must integrate the necessary software, memory and services, and some features may require internet access or additional cloud-based processing.
The Next Smartphone Upgrade May Be About AI
The Dimensity 9600 Pro shows how smartphone processors are evolving from general-purpose computing platforms into dedicated foundations for AI-driven experiences. Its 2nm design, dual-NPU architecture and support for large on-device models point toward a future in which more AI tasks can run locally.
Whether these capabilities translate into genuinely useful personal AI agents will depend on how smartphone brands implement them. But the direction is becoming clear: the next major smartphone competition may be about which devices can deliver the most capable AI experiences without sacrificing battery life, performance or user privacy.
