Which technological projects have actually progressed in 2024, and which still fall under marketing promise? Between new European regulatory frameworks coming into force, the repositioning of artificial intelligence players, and new constraints on digital infrastructures, the year has produced measurable advancements. This article reviews the key facts of the digital landscape in 2024, supported by data.
European Digital Regulation: What Changed in 2024
The year 2024 stands out from previous years due to the simultaneous implementation of several European texts. While competitors list gadgets or trade show trends, the significant fact remains the regulatory acceleration, which directly alters the operating conditions for tech companies in France and Europe.
The Digital Services Act (DSA) now imposes on platforms mechanisms for reporting illegal content, a justification for certain moderation decisions, and greater transparency regarding targeted advertising and recommendation systems. The European AI Act reached a major regulatory milestone in 2024, laying the groundwork for classifying artificial intelligence systems by risk level.
On the environmental front, the EU Delegated Regulation 2024/1364 introduced a framework for collecting information on data centers of at least 500 kW. This framework covers energy consumption, capacity usage, waste heat, and water consumption. The first report on the footprint of data centers was expected in September 2024.
Several analysts following recent articles on techronix.fr have already noted the impact of these texts on the investment strategies of major European tech groups.
Generative AI in 2024: OpenAI, Mistral, and Meta Facing Divergent Models
Generative artificial intelligence remains the dominant topic, but the trajectories of the main players diverge on concrete points. The table below summarizes the observed positions in 2024.
| Player | Model Approach | Regulatory Positioning | Main Target |
|---|---|---|---|
| OpenAI | Proprietary models, API access | Active lobbying on the AI Act | Businesses and general public |
| Mistral (France) | Open and proprietary models | Claimed European compliance | Businesses, digital sovereignty |
| Meta | Open models (LLaMA family) | Ambiguous position on regulation | Developer ecosystem |
In contrast, the market for AI agents (programs capable of chaining actions autonomously) has gained visibility without production use cases being stabilized yet. AI agents remain a promising concept but are not widely deployed at scale.
The Mistral Case and Digital Sovereignty in France
Mistral occupies a unique position. As a French company, it offers both open and commercial models, allowing it to meet the data sovereignty requirements put forth by several administrations and major French companies. This positioning distinguishes it from OpenAI and Meta, whose infrastructures and governance remain American.
The issue of data localization and compliance with GDPR during model training has fueled debates throughout the year. Companies dealing with sensitive data (health, finance, defense) have begun to arbitrate between raw performance and regulatory compliance.
End of Third-Party Cookies and Advertising Transition: Where Do We Stand?
Google Chrome began restricting third-party cookies in January 2024 for an initial cohort of users. This change, postponed multiple times since 2020, has forced publishers and advertising agencies to accelerate their migration to alternative solutions.
The end of third-party cookies has moved from the project stage to an operational transition. The consequences are direct for companies that rely on targeted advertising:
- Contextual targeting solutions (based on page content rather than user profile) have gained adoption among French agencies
- First-party identifiers (data collected directly by the publisher) have become a strategic asset, pushing media to invest in their subscriber bases
- The Privacy Sandbox technologies proposed by Google remain contested by part of the advertising ecosystem, which sees it as a reinforcement of Chrome’s dominant position
Consumer Tech Products: iPhone and Beyond
On the product side, the 2024 cycle confirmed certain hardware trends. Apple continued to integrate AI-related features into the iPhone, joining Samsung and Google, who had already made strides in this area since 2023.
What Embedded AI Changes in Smartphones
Embedded AI on smartphones is not just a marketing argument. The most rapidly growing uses involve automated photo editing, real-time voice transcription, and local translation (without connection). On-device AI processing reduces reliance on the cloud and partially addresses data privacy concerns.
In contrast, the promises surrounding “smart” voice assistants capable of managing complex tasks by chaining multiple applications remain largely at the demonstration stage. The gap between keynote promises and actual usage remains significant.
Digital Risks and Corporate Cybersecurity in 2024
The increase in attack surface related to the massive adoption of generative AI tools has created new risk vectors for companies. The language models used internally can be exploited for sophisticated social engineering or to extract poorly compartmentalized sensitive data.
Risk management related to AI has become a recognized budget item in information systems departments. Frameworks like AI TRiSM (Trust, Risk and Security Management) have gained visibility among large companies, although their adoption is not yet widespread in French SMEs.
- Permanent exposure to threats (CTEM) pushes organizations to continuously monitor their attack surface rather than conducting sporadic audits
- Sector-specific cloud platforms (health, industry) are gradually integrating automated compliance mechanisms to meet the requirements of the DSA and the AI Act
- Training employees to detect AI-generated content (phishing, deepfakes) is becoming a topic for HR as much as for technical teams
The digital landscape of 2024 is characterized less by spectacular breaks than by the realization of transitions that have been underway for several years. European regulation is the defining fact of the year, as it now conditions the technological choices of companies operating in the French and European markets. Product announcements and advancements in generative AI remain dynamic, but their real impact will be measured in the upcoming adoption cycles.
