Technology and Innovation Community

 View Only

  • 1.  AI Impact on Employment: A Contrarian Data-Driven View

    Posted 10-05-2026 08:10

    This article by Citadel Securities debates the current poignant consensus on how AI will impact job market dynamics using data and relying on Jevons Paradox

    Key Takeaways

    • The report argues that current evidence increasingly supports the view that AI is more likely to complement workers rather than replace them.
    • The main reason is economic: advanced AI systems remain highly compute- and energy-intensive, making large-scale labor substitution expensive and difficult to deploy broadly.
    • Instead of eliminating jobs, AI appears to be enhancing worker productivity, allowing firms to expand output, services, and workloads with existing teams.
    • Hiring data in AI-exposed industries currently contradicts the broad displacement narrative:
      • Software engineering job postings have risen sharply.
      • Hiring in finance, accounting, and customer service has also increased despite growing AI adoption.
      • Construction and infrastructure hiring is benefiting from AI-driven data center expansion.
    • The report highlights Jevons Paradox, where efficiency improvements lower production costs and ultimately increase total demand for labor and services rather than reduce it.
    • Historical technological shifts - including industrialization, computers, robotics, and the internet - generally resulted in higher productivity, wages, and employment over time rather than permanent labor destruction.
    • Analysis of S&P 500 earnings calls shows executives overwhelmingly describe AI as a tool to augment employees, not replace them:
      • "Complement" framing exceeds "substitute" framing by roughly 8-to-1.
      • Companies increasingly discuss AI alongside hiring and talent expansion rather than layoffs.
    • The sectors most vulnerable to substitution appear to be repetitive back-office tasks, while high-skill and engineering-related roles are seeing stronger demand.
    • The report does acknowledge risks:
      • Some labor displacement may still occur in routine administrative functions.
      • Firms may underestimate the long-term cost of deploying AI at scale.
      • Productivity gains may take years to fully materialize despite massive upfront investment.
    • Overall, the conclusion is that AI is currently acting more as a labor multiplier than a labor replacement technology, supporting demand for skilled workers, infrastructure, and complementary services rather than causing broad unemployment.



    ------------------------------
    Carlos Salas
    Portfolio Manager & Freelance Investment Research Consultant
    ------------------------------


  • 2.  RE: AI Impact on Employment: A Contrarian Data-Driven View

    Posted 11-05-2026 06:19

    Thanks Todor and Carlos both for your postings. Following-up my reply to Todor above, Carlos, within the Citadel artice, I'm interested in the explicit contra-data to the AI-doom narrative that conveniently doesn't appear the in the press (outrage sells better?) and the observation that, "There are risks that firms are making strategic decisions with an unrealistic understanding of how expensive AI-augmented workflows will be to deploy and... whether the cost of supplying frontier intelligence is falling fast enough relative to the cost of labor to make large-scale substitution economic."



    ------------------------------
    Kara K.W. Byun
    Head of Fintech
    ------------------------------



  • 3.  RE: AI Impact on Employment: A Contrarian Data-Driven View

    Posted 11-05-2026 08:09

    Yes Kara, I agree there're a lot of media outlets and speakers simplifying this topic.

    We have seen recently multiple companies backtracking their AI layoffs  as these articles from Gartner and Forbes  highlight:

    • One third of firms have brought back between 25% and 50% of the roles they cut, while 35.6% have rehired more than half of those positions, often within six months. 
    • Around 31% of organizations found that rehiring staff cost more than they saved during the initial AI-driven layoff period.
    • 50% of companies that cut staff for AI will rehire for similar functions by 2027.
    • Reasons for the Rehire:
      •  Failed Automation & Low ROI: 55% of employers regret their AI-driven layoffs, with many finding that AI requires more human oversight than anticipated, notes Forrester Research.
      • Lost Institutional Knowledge: 32.9% of HR leaders reported losing critical skills that were difficult to replace, leading to the return of mid-level and senior employees.
      • Customer Backlash: Companies discovered that customers often prefer interacting with humans for complex issues, reversing the trend of total automation.
      • AI Inaccuracy ("Hallucinations"): Without human oversight, AI systems often generated inaccurate information, causing severe operational errors

    I think we discussed this topic in multiple CFA events where we covered how aggressively some corporates had been cutting human capital without considering the risks and how important humans as AI supervisors  will become within the next five years.



    ------------------------------
    Carlos Salas
    Portfolio Manager & Freelance Investment Research Consultant
    ------------------------------

    Original Message


Related Content