AI Act: Why French Mid-Caps Must Transform AI Compliance into a Competitive Advantage
The era of experimentation is over
For the past two years, generative artificial intelligence has established itself within companies at a spectacular speed. ChatGPT, Microsoft Copilot, Gemini, Claude, and Mistral are now present in executive suites, HR teams, marketing functions, support services, and even industrial workshops.
But a new stage is beginning.
Artificial intelligence is no longer solely a matter of innovation or productivity. It is becoming a matter of governance, compliance, risk management, and responsibility.
With the progressive entry into force of the European regulation on artificial intelligence (AI Act), companies must now demonstrate their ability to use AI in a controlled, transparent, and responsible manner.
For French mid-caps (ETIs), the stakes are considerable.
They must simultaneously:
- Accelerate their transformation through AI
- Protect their data and processes
- Train their employees
- Implement appropriate governance
- Meet new European regulatory requirements
Companies that succeed in this equation will possess a sustainable competitive advantage. Others risk suffering under regulation rather than using it as a strategic lever.
The AI Act: The world's first comprehensive framework dedicated to artificial intelligence
The European regulation AI Act (Regulation EU 2024/1689) is considered the world's first comprehensive legislation dedicated to artificial intelligence.
Its ambition is clear:
To promote the development of trustworthy AI systems while protecting European citizens against the most significant risks.
Unlike the GDPR, which essentially regulates personal data, the AI Act directly targets artificial intelligence systems themselves:
- Their design
- Their development
- Their commercialization
- Their deployment
- Their use
The European Union intends to create a harmonized framework that allows innovation to be reconciled with the protection of fundamental rights.
Sources
A risk-based approach
The AI Act adopts a logic of proportionality.
The higher the risk a system poses to individuals or society, the more significant the regulatory obligations.
Four categories are defined.
1. Unacceptable risk: prohibited practices
Certain uses are now prohibited in the European Union.
Among them:
- Social scoring of individuals
- Certain forms of behavioral manipulation
- Exploitation of vulnerable people
- Certain uses of real-time biometric recognition
These practices are considered incompatible with fundamental European values.
Sources
2. High risk: the core of corporate obligations
Many systems used in business fall into the High Risk category.
This is particularly the case for AI used for:
- Recruitment
- Employee evaluation
- Access to education
- Credit scoring
- Certain healthcare uses
- Critical infrastructure
The companies involved must demonstrate the existence of:
- Formalized risk management
- Comprehensive technical documentation
- Human supervision
- Traceability of decisions
- Data quality control
These requirements closely align AI with the logics already known in industrial sectors subject to quality and compliance standards.
Sources
3. Limited risk: transparency obligations
Generative AI tools are directly affected.
Users must be informed when they are interacting with an AI.
Synthetic content must also be identifiable in certain situations.
This requirement aims to strengthen trust and limit the risks of manipulation.
Source
4. Minimal risk
A large portion of current business uses belongs to this category:
- Writing assistants
- Documentary production support
- Simple recommendations
- Administrative automation
Obligations are limited, but best practices remain strongly encouraged.
AI Literacy: The obligation everyone is still talking too little about
One of the most important novelties of the AI Act is also one of the least commented upon.
Article 4 of the regulation explicitly introduces an obligation for AI Literacy.
Since February 2, 2025, providers and professional users of AI must take measures to ensure a sufficient level of AI understanding among their employees.
According to the European Commission, AI Literacy corresponds to the knowledge, skills, and abilities allowing one to:
- Understand the general functioning of AI
- Know its opportunities
- Identify risks
- Exercise appropriate human supervision
- Make informed decisions
Compliance no longer depends solely on the deployed technology. It also depends on the skills of the people using it.
This is likely one of the most structural changes for HR departments, CIOs, and transformation managers.
Sources
Generative models are also concerned
The AI Act introduces specific obligations for so-called GPAI (General Purpose AI) models.
This notably includes:
- GPT (OpenAI)
- Copilot (Microsoft)
- Claude (Anthropic)
- Gemini (Google)
- Mistral
Providers must, in particular:
- Produce technical documentation
- Publish certain information about training content
- Respect copyright-related rules
- Implement cybersecurity measures
- Strengthen controls for models presenting systemic risks
Sources
Timeline of upcoming deadlines
The implementation of the regulation is progressive.
| Date | Deadline | | -------------- | ------------------------------------------------------------------------- | | August 1, 2024 | Entry into force of the regulation | | February 2, 2025| Prohibitions and AI Literacy | | August 2, 2025 | GPAI Obligations | | August 2, 2026 | Application of the majority of provisions | | August 2, 2027 | Application of certain obligations related to high-risk systems |
Sources
Sanctions: a subject leaders can no longer ignore
The AI Act provides for significant sanctions for organizations that fail to comply with certain provisions of the regulation.
Depending on the nature of the infringement, fines can reach:
- Up to €35 million or 7% of total worldwide annual turnover
- Up to €15 million or 3% of worldwide turnover
- Up to €7.5 million or 1.5% of worldwide turnover
These sanction levels show that the European Union now considers AI governance as a strategic issue comparable to data protection.
Sources
Why French mid-caps are on the front line
According to INSEE, mid-caps (ETIs) hold an essential place in the French economy.
They generally have between 250 and 4,999 employees and represent nearly one-third of the turnover of French companies.
Sources
Mid-caps find themselves in a unique situation:
- Large enough to deploy AI at scale
- But often less equipped than large groups with legal, compliance, or governance resources
They must therefore simultaneously manage:
- Technological challenges
- Legal challenges
- HR challenges
- Business transformation challenges
The real risk: Shadow AI
In many organizations, employees are already using AI without a defined framework.
This is now referred to as Shadow AI.
This situation can generate:
- Leaks of sensitive information
- Legal risks
- Decisional biases
- A loss of control over actual usage
The AI Act thus pushes companies to implement structured governance for AI usage.
10 priority actions for a mid-cap by 2027
- Map all existing AI usages.
- Identify systems potentially classified as "High Risk."
- Define an AI usage policy.
- Regulate the use of generative tools.
- Implement AI governance.
- Develop employees' AI Literacy.
- Measure real AI skills.
- Define roles and responsibilities.
- Track adoption and risk indicators.
- Prepare the documentary evidence required for future audits.
How Pivotal Skills helps mid-caps meet the AI Act challenge
The AI Act introduces a new reality:
You can no longer manage AI without managing skills.
This is precisely where Pivotal Skills provides a concrete solution.
1. Mapping real AI skills
Before training, you must measure.
The Digital Skills Analyzer allows you to:
- Identify real-world usage
- Evaluate skill levels
- Spot maturity gaps
- Manage development plans
2. Meeting AI Literacy requirements
Article 4 creates a direct obligation for upskilling.
Pivotal Skills acculturation and training programs help strengthen:
- Model understanding
- Best practices
- Risk management
- Human oversight
3. Providing visibility to leaders
Executive management teams need objective indicators.
Pivotal Skills provides:
- Maturity data
- Adoption indicators
- Skill frameworks
- ROI measurements for AI initiatives
4. Preparing for future audits
In a more demanding regulatory environment, companies capable of demonstrating:
- Their training initiatives
- Their governance
- Their monitoring indicators
- Their supervision mechanisms
will be better equipped to meet the demands of regulators, clients, or partners.
Conclusion: the real challenge is not compliance, but maturity
Just as the GDPR transformed data governance, the AI Act is now transforming artificial intelligence governance.
For French mid-caps, the question is no longer:
Should we regulate AI?
But:
How do we build an organization capable of using AI at scale, with full confidence and responsibility?
The future AI leaders will be those who successfully combine:
- Governance
- Skills
- Compliance
- Adoption
- ROI measurement
AI Literacy, skill mapping, and AI maturity measurement are thus becoming strategic pillars of competitiveness for European companies.