Between Acceleration and Blindness: Why Europe’s AI Future Must Not Be Left to Big Tech
With the “Hacktivate AI” report, OpenAI and Allied for Startups have presented a policy paper designed to make Europe a leader in AI adoption. In twenty proposals, they outline how to simplify regulations, cut bureaucracy, and integrate AI into businesses and governments across the continent. At first glance, this sounds like progress — but beneath the appealing rhetoric lies a clear agenda: the advancement of corporate and technological interests.
A Manifesto for Acceleration
The report calls for “Relentless Harmonisation,” transitional grace periods, special AI zones, tax incentives, and streamlined compliance — all measures aimed at speeding up AI deployment. The goal: remove barriers, open markets, stimulate development. Yet what is missing is any real discussion of the social and political consequences. There is no plan for how AI adoption will be monitored, measured, or limited. No framework for social compensation, no binding ethical guidelines. It’s about speed — not accountability. And that is precisely where the AI Fair Use approach draws the line.
From Arming to Auditing
Advocating mass deployment of AI without addressing its impact on employment, democracy, and social stability is reckless. The metaphor is obvious: OpenAI and its partners are effectively proposing to arm society with tools they neither fully understand nor control — and then let everyone start shooting.
The AI Fair Use approach argues the opposite: verification must come before deployment. Before AI is rolled out at scale, there must be auditable control mechanisms — technical, legal, and ethical. Before companies receive certificates or funding, they must prove that their systems enhance human work, not replace it. And before policymakers issue blanket exemptions, there must be institutional counterweights — independent audits, transparent disclosure, and public oversight.
Technology Is Not an End in Itself
Europe has the opportunity to forge its own path — neither the American model focused solely on market expansion, nor the Chinese model centered on state surveillance. A European approach must be built on democratic values, social responsibility, and long-term resilience.
The OpenAI report, however, largely ignores these principles. Its proposed incentives — “AI Vouchers,” “Grace Periods,” and “AI Zones” — are rooted in market logic but socially unbalanced. They lower barriers for technology deployment but simultaneously erode the safeguards that prevent misuse and overreach.
When companies deploy AI to cut costs, eliminate jobs, or replace human judgment, that is not innovation — it is structural labor displacement wrapped in technological rhetoric.
Fair Use Instead of Free Fire
The AI Fair Use Index takes a fundamentally different approach: it does not rate companies by the speed of their innovation, but by the balance between technological automation and human contribution.
The goal is not to slow AI down — but to make its deployment measurable and accountable. Only organizations that disclose the extent of human involvement in their processes, decisions, and production can credibly claim to use AI responsibly. Transparency, verifiability, and social impact must be part of the same equation as efficiency and scale. That is how a true culture of accountability emerges — not a culture of uncritical enthusiasm.
The Unrealism of the Tech Agenda
While OpenAI frames its proposals as pragmatic policy, they are, in many respects, corporate lobbying. They primarily benefit those who already possess capital, data, and computational infrastructure. Small and medium-sized enterprises, municipalities, and civic organizations are not empowered by this agenda — they are positioned as users, not participants.
Especially troubling is the recurring call for a “Grace Period” until 2030 — a window during which companies could deploy AI without meeting full regulatory requirements. This might sound like innovation policy, but in practice, it represents a temporary deregulation phase where errors and harms could spread unchecked.
Regulation is not the enemy of innovation — it is its precondition. Only where safety, liability, and transparency exist can sustainable trust be built.
A European Alternative
A responsible European path to AI adoption must rest on a different foundation. It should be guided by principles such as:
- Verification before scaling – no AI deployment without risk classification, auditing, and logging.
- Human accountability – companies must document where and how AI replaces or augments human labor.
- Transparent certification – Fair Use labels and indices provide consumers and organizations with clarity.
- Social partnership – involve labor unions and civil society in AI governance processes.
- Open standards and interoperability – prevent dependency on a handful of large providers.
- Democratic oversight – public reports, parliamentary scrutiny, and independent ethics councils.
Conclusion: To Want AI Is to Want Responsibility
The “Hacktivate AI” report embodies a worldview where efficiency outranks ethics, acceleration outweighs control, and growth eclipses dignity. The AI Fair Use approach reverses that logic: it puts the human being back at the center. Technology should serve humanity — not displace it.
If Europe truly wants a sustainable AI policy, it does not need another industry playbook. It needs a new culture of regulation — one that makes progress measurable, responsibility mandatory, and fairness verifiable.
Source: Hacktivate AI Report (OpenAI / Allied for Startups, 2025); Analysis and commentary by the AI Fair Use Initiative, 2025.
Download: https://ai-fair-use.org/wp-content/uploads/hactivate-ai.pdf
