The tech trends of 2026 are no longer just about the release of the latest smartphone or a software update. This year, three underlying movements are reshaping how devices, software, and regulations interact: the emergence of agentic AI as a distinct technology category, the real implementation of the European AI Act, and the rise of artificial intelligence processing directly on devices, without going through the cloud.
Agentic AI: Software that performs tasks on your behalf
You have probably already used a voice assistant to set a timer or dictate a message. Agentic AI takes this principle much further. Instead of responding to a single command, the software plans and executes multiple steps on its own.
Let’s take a concrete example. You ask an assistant to book a trip. A traditional chatbot offers you links. An agent software, on the other hand, compares flights, checks your availability in your calendar, books the hotel that matches your preferences, and sends you a summary. All of this in a single request.
In 2026, McKinsey added agentic software development to its overview of major trends, alongside AI applied to scientific discovery and engineering. The firm notes that these two areas are among those seeing the fastest-growing investments this year. To follow tech news on Info 11, this shift towards software autonomy is a key thread to watch closely.
The term “agentic” may seem technical. Just remember the idea: AI is moving from a passive assistant role to that of an autonomous executor. The difference lies in the software’s ability to make intermediate decisions without human validation at every step.
European AI Act: What the regulation changes in 2026
As of August 2, 2026, the European AI Act is no longer a theoretical text. The European AI Office and national authorities now have concrete enforcement powers. Governance, transparency, documentation, monitoring of AI systems: the obligations are real.
Why is this a tech trend and not just a legal topic? Because this regulation directly alters product design. A smartphone manufacturer that integrates facial recognition or a software publisher that offers automated CV sorting must document how their AI works and prove its compliance.
Concrete obligations for tech companies
- Algorithmic transparency: publishers must explain how their AI makes decisions, especially for systems classified as high-risk
- Mandatory technical documentation, accessible to regulatory authorities and, in some cases, to end users
- Continuous monitoring of deployed systems, with an obligation to report malfunctions or biases detected after market launch
Some rules regarding high-risk systems are still being gradually implemented. The AI Pact, a voluntary commitment launched by the European Commission, allows companies to anticipate these requirements, reflecting the regulatory pressure felt by the industry.
Edge AI and embedded processing: Intelligence without the cloud
When you ask a voice assistant a question, the request goes to a remote server, is processed there, and then the response returns to your device. This journey takes time and depends on the internet connection. Edge AI eliminates this loop.
The principle: data processing occurs directly on the device, thanks to specialized chips integrated into smartphones, cameras, vehicles, or industrial sensors.
Why local processing changes the user experience
Latency decreases significantly. For an autonomous car, a few milliseconds of delay in analyzing an obstacle can make a difference. For a smartphone, this means almost instantaneous photo recognition or voice translation, even without a network.
The other advantage is privacy. If your voice or biometric data never leaves your phone, the risk of leakage to a third-party server disappears. This point directly aligns with the AI Act’s requirements on data protection.
Cybersecurity and Cyber Resilience Act: Security integrated from the design stage
Cyberattacks are increasingly targeting everyday connected objects: cameras, thermostats, home routers. The European Cyber Resilience Act requires manufacturers to integrate security from the design stage of their connected products, rather than as a fix afterward.
Specifically, a connected object sold in Europe must guarantee security updates for its entire announced lifespan. A connected thermostat purchased today cannot be abandoned by its manufacturer after two years without fixes.
- Obligation to report vulnerabilities discovered within a short period after detection
- Manufacturer’s responsibility extended to post-sale software maintenance
- Market prohibition for products that do not meet minimum cybersecurity requirements
This framework changes the game for brands that offered low-cost connected objects without software support. The cost of compliance will impact entry-level ranges, but the overall reliability of devices should improve.
AI infrastructure investments: Where the money goes in 2026
The European Union has launched several initiatives to avoid relying solely on American or Asian infrastructures. Scientific AI and robotics are capturing an increasing share of these budgets, beyond just the consumer chatbot sector.
This shift in investments explains why announcements of new smartphones or televisions occupy less space in tech news than they did a few years ago. The center of gravity of innovation has shifted towards the invisible layers: chips, foundation models, computing infrastructures.
The tech trends of 2026 share a common trait. They make artificial intelligence more autonomous, more local, and more regulated. Agentic AI makes chain decisions, Edge AI brings computation closer to the user, and European regulation sets concrete limits. The next device you purchase will likely be shaped by these three combined forces, much more than by the size of its screen.
