Notes of Nagesh

  C. Nagesh Bhushan Artificial intelligence and the future of work AI is not coming for the factory floor. It is coming for the corner office — and the social contract will need to catch up Hyderabad  Apr 14th 2026 The most exposed workers today are not on the factory floor — they are at the desk with a graduate degree Something strange is happening to the conventional story about automation. For most of the past century, the received wisdom ran in one direction: machines replace muscles, not minds. The assembly-line worker was the perennial casualty; the knowledge professional was the safe harbour. A university degree, the argument went, was the best insurance policy against redundancy. That argument is now running in reverse. New data from Anthropic's Economic Index, synthesising observed real-world usage of large language models across professional settings, reveals that the occupations facing the highest actual automation today are not the blue-collar roles that ...

A new industrial policy Artificial intelligence is advancing at a pace that rivals the Industrial Revolution. Unlike past cycles, market forces alone cannot manage the concentration of wealth or the displacement of human roles. A proactive, people-first policy is needed to ensure superintelligence benefits society at large. The aim is shared prosperity, risk mitigation, and democratized access to AI tools. Modernising the tax base As value shifts from human labour to automated outputs, payroll taxes erode. To sustain social programmes, revenue must be rebalanced. Capital gains and corporate taxes should capture AI-driven profits, while levies on automated labour replace lost payroll contributions. Incentives must reward firms that retrain and retain workers, ensuring AI augments rather than replaces human agency. Public Wealth Fund A Public Wealth Fund would give every citizen a direct stake in AI growth. Seeded by government and frontier AI firms, it would invest in equity, ...

Understanding the future of work requires moving beyond speculative headlines about "robots taking over." To prepare for the Intelligence Age, we must distinguish between "lab-tested potential"—what Large Language Models (LLMs) are technically capable of—and "office-floor reality"—what they are actually doing in the economy today. 1. The Foundation: Theoretical vs. Observed Exposure The starting point for any labor economist is defining how much a job is "exposed" to technology. However, exposure is not a monolithic metric. There is a critical distinction between a system's theoretical capability and its actual integration into professional workflows. Theoretical Capability () Observed Exposure Definition:  Measures if it is  technically possible  for an LLM to perform a specific task at least twice as fast as a human. Definition:  Measures  actual automated usage  in professional settings by c...

1. Strategic Framework: The Ideological Infiltration of the British Establishment In the 1930s, Cambridge University served as the staging ground for an "ideological vogue" that provided the Soviet Union with a profound long-term asymmetric advantage. This was not merely a student rebellion but a systemic infiltration engineered by the NKVD, specifically through recruiter Arnold Deutsch. By identifying members of the British administrative elite while still in their formative years, the Soviets exploited the British class system to place assets in the trajectory of future power. This "slow-burn" recruitment strategy ensured that by the time these men ascended to senior bureaucratic positions, they were fully professionalized agents of a foreign power, creating a network effect that acted as a force multiplier. New research suggests this network extended to approximately 22 individuals beyond the core five, creating a pervasive intelligence web within the Britis...

  The Aesthetic vs. The Archive In 1983, the film  Another Country  fixed a specific image of the Cambridge 5 in the public consciousness: Rupert Everett, ravishingly gorgeous, dripping honey into the clavicles of Etonian youths. This cultural "aesthetic"—a soft-focus lens of intellectual rebellion and raffish dissent—has long obscured a much darker archive. As Antonia Senior argues in her groundbreaking work,  Stalin’s Apostles , our fascination with these men is underpinned by a profound "failure of imagination." We find it easier to believe in the myth of the romantic rebel than to confront the reality that these were "terrible men" who committed calculated acts of duplicity. They didn't just betray an abstract "establishment"; they delivered thousands of people into the hands of a butcher. It is time to strip back the layer of mythology to reveal five counter-intuitive truths about the men who helped build the Soviet Empire. Myth #1:...

By  Nagesh Bhushan  In the annals of medieval India, few rulers embodied orthodox zeal quite like Firoz Shah Tughlaq. Reigning from 1351 to 1388, he sought to align governance strictly with Sharia, suppressing Hindu public worship, incentivising conversion, and framing his administration as a return to Islamic legal purity after the turbulent experimentalism of his predecessor, Muhammad bin Tughlaq. Among his most consequential decisions was one that appears almost administrative in description but proved explosive in practice: he ended a long-standing exemption and imposed the jizya — the poll tax on non-Muslim subjects — on Brahmins. The episode that followed offers one of medieval India's clearest windows into the tension between religious orthodoxy and the practical limits of power. The Tax and Its Target Under Islamic jurisprudence, the jizya was levied on dhimmis — protected non-Muslim subjects living under Muslim rule. Earlier sultans of Delhi had generally exempt...