Samsung has outlined an ambitious plan to sell 400 million artificial intelligence enabled devices by 2026, signalling a major expansion of AI capabilities across its consumer electronics portfolio. The target reflects the company’s confidence that AI features will become a core driver of demand for smartphones, wearables and other connected devices.
The strategy underscores Samsung’s belief that artificial intelligence is moving from a premium differentiator to a mainstream expectation among consumers. By embedding AI more deeply into everyday devices, the company aims to enhance user experiences while strengthening its competitive position in a crowded global market.
Samsung’s AI push spans multiple product categories, with smartphones expected to account for a significant share of the projected sales. The company has been steadily introducing AI features that improve photography, productivity, personalisation and device performance. These capabilities are designed to operate both on device and through cloud integration, depending on use cases and connectivity.
Beyond smartphones, Samsung is expanding AI functionality across wearables, tablets and consumer electronics. Features such as health monitoring, voice interaction and adaptive performance are increasingly powered by AI models that learn from user behaviour. This approach allows devices to deliver more personalised and context-aware experiences.
The 400 million target also reflects Samsung’s broader ecosystem strategy. By integrating AI across multiple device categories, the company aims to create seamless interactions between products. This ecosystem approach is intended to encourage brand loyalty and increase engagement across Samsung’s range of offerings.
Industry analysts note that Samsung’s scale gives it an advantage in executing such a strategy. As one of the world’s largest consumer electronics manufacturers, the company can deploy AI features across a wide installed base, accelerating adoption and gathering insights to refine performance.
The push comes amid intensifying competition as rivals invest heavily in AI to differentiate their products. Smartphone makers in particular are racing to integrate generative and contextual AI features that go beyond basic assistants. Samsung’s target signals its intent to remain at the forefront of this shift.
Samsung has emphasised that AI features will be designed with privacy and security in mind. On-device processing plays a key role in this approach, allowing certain tasks to be performed without sending data to the cloud. This balance between performance and privacy is increasingly important as consumers become more aware of data usage.
The company’s investment in AI hardware also supports its ambitions. Custom chips and optimised processors enable more efficient AI workloads, improving responsiveness and battery life. These hardware advances are critical to delivering AI experiences that feel seamless rather than intrusive.
Samsung’s target aligns with broader industry trends that see AI becoming a standard component of consumer technology. As models become more efficient and capable, AI features are expected to reach lower-priced devices, expanding the addressable market.
The sales goal also reflects optimism about global demand for connected devices. While the consumer electronics market has experienced periods of slowdown, Samsung appears to be betting that AI-driven upgrades will encourage replacement cycles.
For consumers, AI-enabled devices promise tangible benefits such as smarter cameras, improved accessibility and enhanced productivity. These features are increasingly marketed as practical tools rather than experimental additions, which could help drive adoption.
Samsung’s approach also includes partnerships with AI platform providers and developers. By collaborating with software ecosystems, the company can offer a broader range of AI-powered applications while focusing on hardware integration and optimisation.
At the same time, challenges remain. Delivering consistent AI performance across regions requires robust infrastructure and localisation. Language support, regulatory compliance and network conditions can influence how AI features are deployed globally.
Market observers caution that ambitious sales targets depend on execution and consumer reception. AI features must demonstrate clear value to justify upgrades, particularly in price-sensitive markets. Samsung’s ability to balance innovation with affordability will be critical.
The company has indicated that AI will play a role in both premium and mid-range devices. This inclusive approach aims to prevent AI from becoming confined to flagship products, supporting broader adoption.
Samsung’s focus on AI-enabled devices also reflects a shift in how technology companies define innovation. Rather than relying solely on hardware specifications, value is increasingly derived from software intelligence and user experience.
The 400 million target highlights how AI is shaping strategic planning at scale. Rather than experimenting in limited segments, Samsung is committing to AI as a foundational element of its product roadmap.
As AI capabilities evolve, the company expects use cases to expand. Future devices may offer more proactive assistance, predictive insights and adaptive behaviour. These possibilities are central to Samsung’s long-term vision.
The target year of 2026 suggests confidence that AI adoption will accelerate rapidly over the next two years. Advances in model efficiency and hardware integration are expected to support this growth.
Samsung’s announcement also sends a signal to suppliers and partners. A large-scale AI rollout influences demand for components, software and services across the value chain.
For the broader industry, the move underscores how AI is becoming a defining feature of consumer electronics. Companies that fail to integrate meaningful AI experiences risk falling behind.
Samsung’s challenge will be maintaining differentiation as AI becomes ubiquitous. Unique features, seamless integration and reliability will determine whether consumers perceive added value.
The company’s global reach positions it to influence how AI is experienced by millions of users. Decisions made at this scale can shape expectations around device intelligence.
As competition intensifies, performance benchmarks and user satisfaction will play an important role in validating Samsung’s strategy. Meeting the 400 million target will require sustained demand across regions and categories.
The next phase of Samsung’s AI journey will be closely watched by industry observers. Sales performance, feature adoption and consumer feedback will indicate whether AI can drive the next wave of device growth.
By setting a clear and ambitious target, Samsung is signalling confidence in its ability to deliver AI at scale. The outcome will help define how artificial intelligence reshapes consumer technology in the coming years.