The high-tech market in 2026 is advancing under dual pressure: on one side, manufacturers are multiplying the functions of embedded artificial intelligence in PCs, smartphones, and connected objects. On the other, the European regulatory framework, with the AI Act and the recommendations from the CNIL, imposes constraints on transparency and privacy that reshape how these products reach users. Between marketing promises and real technical limits, the landscape deserves careful examination.
Local AI on smartphones and PCs: what the NPU really changes
The term NPU (Neural Processing Unit) now appears on the technical specifications of most new high-end laptops and smartphones. This chip dedicated to artificial intelligence calculations allows for local execution of tasks such as text summarization, assisted photo editing, or contextual assistance, without sending data to a remote server.
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On paper, the advantage is twofold: less dependence on the cloud and better protection of personal data. In practice, field feedback diverges on this point. The available RAM on a consumer device remains a limiting factor for the most powerful AI models. A smartphone with a few gigabytes of free RAM cannot run a full language model under the same conditions as a dedicated server.
Fragmentation poses another problem. Each manufacturer develops its own embedded AI functions, with varying levels of compatibility depending on third-party applications. Apple pushes its functions through its closed ecosystem, Samsung bets on Galaxy AI, and Windows PC manufacturers integrate Copilot layers. For the user, this means that AI functions vary by brand, model, and even software update. This mosaic makes any objective comparison between devices difficult.
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The first concrete uses that work well locally remain limited: object removal in a photo, real-time voice transcription, automatic notification sorting. For heavier tasks (generation of complex images, analysis of large documents), the relay to the cloud remains the norm, which nuances the promise of truly local AI.
Several analyses published on the tech section of ComplexInfo detail these discrepancies between announced specifications and actual user experience, a gap that structures much of the debate around current high-tech products.
AI Act and CNIL: new constraints on digital products
The gradual implementation of the European AI Act changes the game for manufacturers. Products incorporating artificial intelligence must now clearly indicate when the user is interacting with AI. Default privacy settings are becoming stricter, and documentation of the models used becomes a requirement, not an option.
The CNIL supports this movement by publishing guidelines for software publishers and manufacturers. The stated goal is to ensure that embedded technologies do not collect data beyond what is necessary for the function concerned.
For consumers, these regulatory constraints translate into visible changes:
- Explicit notifications when an AI function processes personal data, whether on a smartphone or a connected object
- Privacy settings activated by default, where they previously had to be sought in advanced menus
- Accessible documentation on the AI models integrated into devices, with details on their scope of action
The available data does not yet allow for measuring the real impact of these obligations on the practices of major manufacturers. However, initial feedback shows that some players have removed or reduced AI functions in their products sold in Europe, preferring regulatory caution over a race for features.
Connected objects and the Matter protocol: towards less home automation fragmentation
The market for connected home objects has long suffered from an interoperability problem. Buying a connected light bulb from one brand, a thermostat from another, and a lock from a third manufacturer often meant juggling between three distinct applications and just as many gateways.
The Matter and Thread protocols are gradually changing this situation. Matter provides a common language between devices, regardless of the brand. Thread, a low-power network protocol, allows objects to communicate with each other without going through a centralized hub, with reduced energy consumption.
Adoption is progressing but remains uneven. Major brands (Apple, Google, Samsung, Amazon) display Matter compatibility on their new products. Smaller manufacturers integrate the protocol with a delay, and some older devices will never receive the update. Matter compatibility does not guarantee a uniform experience across all devices, as the levels of exposed functionalities vary from one manufacturer to another.
Local storage and home NAS: the cloud becomes optional
The return of local storage is a trend that aligns with the logic of regaining control over data. NAS (Network Attached Storage) solutions aimed at the general public now incorporate AI functions for automatic photo sorting, visual content search, or selective synchronization between devices.
The idea is to make remote cloud storage more optional for daily tasks: file backup, family sharing, video storage. The home NAS with integrated AI replaces several cloud subscriptions for users willing to invest in hardware.
This approach has its limits. The installation and maintenance of a NAS are more complex than simply subscribing to an online service. The security of the home network then becomes a critical link, as a poorly configured NAS exposes data to risks that professional cloud services manage by default.
- Recent NAS units integrate dedicated NPUs to accelerate local indexing of multimedia files
- Automatic backup protocols now cover smartphones, tablets, and computers without complex manual configuration
- The power consumption of low-power models remains lower than that of a cloud subscription in terms of annual cost, depending on configurations
The high-tech market in 2026 is not just a race for novelty. The most structuring innovations, from embedded AI to home automation interoperability, face constraints of memory, regulation, and fragmentation that temper manufacturers’ announcements. The framework set by the AI Act and the rise of local solutions shape a landscape where the user’s technical mastery becomes a determining factor in the choice of a digital product.