The company said it now expects adjusted core profit to come in “significantly ahead” of market expectations, reflecting robust sales momentum across its product range and sustained appetite for compact, low-cost computing systems used in education, prototyping, industrial automation, and increasingly AI-enabled edge devices.
For the first half of the fiscal year ending June 30, Raspberry Pi projected core profit of at least $38 million, supported by shipments exceeding 4 million units over the period.
The company attributed the improved performance to a combination of higher sales volumes, a more favourable product mix, and inventory that had been stockpiled during the 2025 financial year to buffer supply chain volatility.
AI Boom Reshaping Demand for Low-Cost Computing
While Raspberry Pi is traditionally associated with hobbyists, education, and engineering development, the company is increasingly benefiting from the global expansion of AI applications beyond large data centres.
Growing demand for edge computing, lightweight AI inference systems, and embedded machine learning tools has strengthened sales of compact computing boards that can be deployed in industrial sensors, robotics, smart devices, and prototyping environments.
This shift reflects a broader industry trend in which AI deployment is no longer confined to high-end servers but is spreading into distributed systems that require affordable, energy-efficient hardware.
Supply Chain Pressures and Memory Chip Scarcity
Despite the upbeat forecast, Raspberry Pi cautioned that profit margins per unit are expected to ease in the second half of the year as memory chip inventories decline.
The company warned that the global semiconductor market is experiencing an “unprecedented scarcity” of memory components, driven in part by surging demand from AI infrastructure providers competing for high-bandwidth memory used in advanced model training and inference.
To mitigate supply risks, Raspberry Pi said it plans to draw on debt facilities to finance strategic purchases of memory chips, ensuring it can maintain production stability in a tightening supply environment.
Balancing Growth With Component Constraints
The company’s outlook highlights a growing tension in the global electronics supply chain: while AI is accelerating demand for computing hardware across multiple segments, it is also intensifying competition for key components such as memory chips.
Industry observers note that smaller manufacturers are increasingly exposed to volatility as large AI infrastructure players secure long-term supply contracts and bulk allocations of critical semiconductor inputs.
Raspberry Pi’s strategy of pre-emptive inventory management and financing-backed procurement reflects a broader effort among hardware firms to insulate themselves from supply shocks while attempting to capitalise on AI-driven demand growth.
As the year progresses, the company’s performance will likely serve as an indicator of how deeply the AI boom is reshaping even low-cost computing markets far beyond traditional data centre infrastructure.