Video summary

Через 5 лет вы забудете про маркетплейсы. Вот что их заменит. Декан МГУ Александр Аузан

Main summary

Key takeaways

News and Commentary

Overview

Professor Alexander Auzan discusses Russia’s economic and educational future in the era of artificial intelligence (AI). He argues that AI will not be “solved” by technology alone, but through a “symbiosis” of AI with human strengths and institutional change.

Key arguments and points

AI panic vs. historical perspective

  • The discussion begins with contradictory public narratives about AI: from claims that “everything is lost” to comparisons with earlier technological revolutions.
  • AI is framed as a transformative force that must be managed through policy, education, and institutions.

Auzan’s “Strong Natural Intelligence” education experiment

  • A Moscow State University experiment tests student performance alongside neural networks, both separately and together.
  • Core claim: the education system moves too slowly, making conventional AI-assisted schooling (e.g., homework/tests) ineffective in the near term.
  • The proposed alternative emphasizes right-hemisphere human abilities—intuition, empathy, and imagination—so AI’s analytical strengths combine with human creative and empathetic capacity.
  • Results are expected “around May 27.”

Why humanities and creativity still matter

  • Auzan argues that cutting humanities/arts specialization (as described for China) is a “dead end.”
  • Since AI excels at analytical tasks, human imagination becomes a key driver of technology and innovation.
  • He supports this with examples of science fiction inspiring real technologies and inventors.

Economic implications: AI replaces vs. augments

  • Referencing a prior discussion with economist Daron Acemoglu, the shared conclusion is:
    • AI can replace humans, or expand human capabilities.
  • For augmentation to happen, institutions and “natural intelligence” must change, not just tools.
  • He connects this to historical industrial revolutions: after disruptive technologies, new systems emerge that re-employ people in reorganized roles—ideally without mass job loss.

Russia’s position in the AI race

  • Auzan characterizes Russia as “in the race,” but in third place, behind the USA and China.
  • The next step for Russian AI leaders (e.g., Yandex, Sber) requires serious state support, not only private initiative.

Scalability depends on institutions, standards, and culture

  • Russia is described as strong in services (e.g., mobile banking) but weaker at scaling industrial/technical production.
  • The explanation: insufficient respect for standards and institutions (social rules), which are essential for scaling complex technological systems.

Drones: technology accelerates, but institutions lag

  • Progress with drones is noted, but legislation and institutions for unmanned transport remain insufficient.
  • A practical barrier resembles a “trolley dilemma” challenge: how AI should act under ethically constrained conditions.
  • That requires legal and social frameworks, not only technical solutions.

From marketplaces to the “agent economy”

  • Auzan predicts that marketplaces may lose dominance in about five years, replaced by an “agency economy”.
  • In this model, AI agents can:
    • search, compare, assemble options,
    • order, and even
    • handle payments across the internet.
  • Governance and economic questions arise, such as:
    • What data can AI use without permission?
    • Who is responsible for mistakes and harms caused by agents?
  • He describes scenarios where users provide goals, while agents manage travel, purchasing, timing, and logistics.

Scenario analysis: how AI governance could develop

Three governance models are outlined:

  1. US-style: minimal restrictions (“move fast”), fewer ethical constraints.
  2. China-style: state control over where AI can operate, with user-data protections that may still allow state-level manipulation.
  3. Europe-style: strong privacy laws but weak ecosystem development, creating a lag.

For Russia, Auzan argues the country must choose an approach that ideally moves toward society-oriented governance, rather than purely state-controlled systems.

Ethics and the “right to be forgotten”

  • Personal data is described as a “shadow” that can become an instrument of control.
  • The argument includes:
    • legal protection of personal data,
    • the right to be forgotten,
    • while acknowledging that full technical erasure of data and traces is difficult.

Cultural duality (“Russia vs Russia”)

  • The video links AI and economic futures to Auzan’s broader theory: Russia contains two socio-cultural “cores” that alternate historically.
  • The pendulum swings between:
    • individualistic Russia: freedom, autonomy, market principles, personal responsibility
    • collectivist Russia: justice/equality/stability, with more responsibility shifting to the state
  • Auzan claims neither model permanently “wins.” Both reproduce over long cycles, but Russia needs a new social contract—not necessarily between state and society, but between the two competing cultural logics.

Beyond zero-sum thinking: long-term growth

  • Auzan criticizes zero-sum assumptions about budgets and resource distribution.
  • Counter-claim: over 10–20 years, the “pie” can expand through production and investment, supported by long-term thinking about:
    • education,
    • science,
    • healthcare,
    • and the next generation.
  • He emphasizes a culture of failure/error management, aligning with how frontier companies operate.

Presenters / contributors

  • Danil Smirnov — host; Master of Economics; lecturer at Plekhanov University
  • Professor Alexander Alexandrovich Auzan — Doctor of Economics; Dean of the Faculty of Economics, Moscow State University; Chairman of the Yandex Advisory Board; Supervisory Board member of Sberbank

Original video