
Tech • IA • Crypto
French entrepreneur and physician Laurent Alexandre argues that artificial intelligence will soon dominate decision-making in medicine, education, and governance, creating major social, political, and ethical disruptions.
Laurent Alexandre predicts that by 2035, physicians could be prohibited from issuing diagnoses or prescriptions without validation from artificial intelligence systems. He argues that AI will outperform human doctors in accuracy, making independent medical decisions by humans socially unacceptable. Future doctors, he says, will act primarily as coordinators of AI tools rather than decision-makers.
Alexandre contends that universities, particularly in France and the United States, have declined in quality due to mass enrollment policies. He cites data suggesting that 10% of French graduates lack basic literacy skills despite completing degrees. According to him, many academic paths no longer guarantee employment, creating frustration among graduates and weakening the value of long, traditional studies.
Despite his own medical background, Alexandre discourages pursuing medical studies under current systems. He describes the 10-year training pathway as outdated and misaligned with technological change. He believes students are being prepared for roles that will soon be fundamentally transformed or diminished by AI.
Alexandre argues that the main obstacle to adaptation is not democracy itself but bureaucratic inefficiency. He calls for replacing senior civil servants who lack understanding of AI, emphasizing that public administration remains largely disconnected from technological realities. He stresses that effective reform requires structural change within the state apparatus.
While acknowledging frustrations with democratic inefficiency, Alexandre strongly rejects authoritarian solutions. He warns that prioritizing efficiency over democratic safeguards could lead to repression, including scenarios resembling “gulag” systems. He maintains that authoritarian regimes are not inherently more effective and often suffer from corruption and mismanagement.
The competition between the United States and China in artificial intelligence is expected to accelerate technological progress while increasing geopolitical tensions. Alexandre notes that AI is becoming a strategic asset comparable to military power, potentially leading to restricted access to advanced models. He warns that Europe, lacking leading AI systems, risks marginalization if both powers limit technology exports.
Alexandre highlights Europe’s regulatory environment as a barrier to innovation, arguing that excessive bureaucracy and slow decision-making hinder competitiveness. He suggests that the continent is falling behind in both industrial and technological domains, with long-term consequences for economic growth and sovereignty.
The rise of AI and automation is expected to shorten the lifespan of jobs and disproportionately affect lower-skilled workers. Alexandre foresees significant stress for individuals unable to adapt quickly, describing a “Schumpeterian shock” that will destabilize labor markets and increase inequality.
Advances in genetic selection and neuroaugmentation are likely to trigger deep ethical divisions. Alexandre points to growing interest in technologies that could enhance human intelligence, raising concerns about inequality and societal fragmentation. He anticipates intense debates over human enhancement and the definition of humanity itself.
Alexandre predicts that artificial intelligence could surpass human intelligence entirely by around 2027, marking a historic turning point. He describes this as an “anthropological crisis,” where humans would no longer be the most intelligent entities on Earth, leading to profound psychological, philosophical, and religious consequences.
Laurent Alexandre outlines a future shaped by rapid AI advancement, where institutions struggle to adapt and societies face deep structural upheaval while attempting to preserve democratic principles.