The dawn of the third decade of the 21st century finds humanity at a critical crossroads. Artificial Intelligence (AI), once a field of academic research, has transformed into the central pillar of global economic and political strategy. However, the question being raised with increasing intensity is no longer just about the technical capabilities of large language models, but about their fundamental nature: Is AI a new "speculation machine" that will exacerbate inequalities, or can it be transformed into an infrastructure for social emancipation?
Current AI development is dominated by a handful of tech giants (Big Tech), who control the data, the computing power, and the talent. This concentration of power is reminiscent of the enclosure of the commons at the dawn of the Industrial Revolution. Today, the "enclosure" concerns human knowledge and experience, which is digitized and appropriated by algorithms for the benefit of shareholders, often without any compensation for the content creators.
Digital Enclosure and Capital Concentration
The history of technology teaches us that every new innovation tends to serve the dominant economic structures of its time. In the case of AI, we are witnessing an unprecedented mobilization of capital. Billions of dollars are flowing into startups and semiconductor infrastructure, creating an investment frenzy that many compare to the dot-com bubble. But behind the speculation lies a deeper shift in the relations of production.
AI allows for the automation of not only manual but also complex cognitive tasks. If this technology remains under the exclusive control of private capital, the risk of "technological unemployment" leading to the social marginalization of large segments of the population is visible. Speculation here is not just about stocks, but about the very value of human labor, which is being squeezed by algorithmic efficiency.
AI as a Public Good
In contrast to this dystopian outlook, there is the vision of AI as a "common good." For this to happen, technology must be decoupled from the logic of profit maximization and redefined as social infrastructure. This implies the development of open-source models and investment in public computing infrastructures that will be accessible to all.
- Democratic Control: Decision-making on the direction of AI research cannot be left solely to corporate boards. It requires the participation of civil society and labor unions.
- Redistribution of the Digital Dividend: Profits from the productivity gains brought by AI should fund social services, universal basic income, or the reduction of working hours.
- Ethics and Transparency: Algorithms that affect citizens' lives (from health to justice) must be auditable and free from bias.
National Sovereignty and Geopolitics
For a country like Greece, this discussion also takes on a national dimension. Dependence on foreign technological ecosystems creates a new form of "digital colonialism." Developing domestic capabilities in AI, tailored to the needs of the Greek language and society, is not a luxury but a necessity for survival. AI can help reconstruct the state, improve public administration, and enhance education, provided it is not treated merely as an imported product.
"Technology is not neutral. It is the imprint of our values and our social organization. If we do not claim control over it, it will become the tool of our enslavement."
In conclusion, AI carries within it the promise of emancipation: the liberation of humans from repetitive and exhausting labor. However, this promise will remain a dead letter unless there is a coordinated political intervention that puts the needs of the many above the profits of the few. The battle for AI is, in reality, the modern battle for democracy.
