Analog Devices has agreed to acquire Alif Semiconductor for $1.4 billion in cash, in a deal aimed at strengthening the chipmaker’s capabilities in edge and physical AI.
The acquisition will give Analog Devices access to Alif’s AI-native microcontrollers and fusion processors, which integrate low-power neural processing with connectivity, security and power management on a single chip.
Analog Devices said the technology will advance what it calls “Physical Intelligence”, enabling systems to sense, reason and act locally in real time while meeting requirements for low power consumption, low latency, security and reliability.
The company said AI capabilities are expanding beyond the interpretation of text and images to processing real-world signals such as motion, sound, vibration, radio waves and thermodynamics.
By combining Alif’s digital processing platform with its own expertise in sensing, signal processing, power and connectivity, Analog Devices expects to provide customers with complete system-level solutions rather than requiring them to source individual components separately.
Analog Devices chief executive Vincent Roche said AI is moving beyond data centres and into physical environments, where latency, power efficiency and trust are critical.
He described the acquisition as central to the next frontier of embodied, deterministic AI.
Alif’s silicon is already shipping in production, with design wins among consumer and industrial customers, according to Analog Devices.
The acquisition is expected to expand Analog Devices’ addressable market across industrial applications, data centre infrastructure, defence, energy, robotics, digital health and wearables.
The transaction has been approved by the boards of both companies and includes up to $200 million in additional contingent consideration.
It is expected to close before the end of 2026, subject to regulatory approvals.
The deal follows Analog Devices’ agreement in May to acquire Empower Semiconductor for $1.5 billion in cash, a transaction focused on improving power density for AI computing.
