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  "subfield_secondary": "macro_finance; labor and technology adoption",
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   "estimand": "Cross-sectional association between a firm's within-industry routine-task labor share (RShare) and its systematic risk, expected returns, and the response of investment and employment to aggregate shocks.",
   "strategy": "Within-industry portfolio sorts on RShare (single and double sorts), unconditional and conditional CAPM betas, cash-flow and GDP betas, and panel regressions with controls. Mechanism tests interact RShare with aggregate shocks (GDP growth, recessions) for machine investment and routine employment.",
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    "RShare proxies for the presence of labor-technology switching options",
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    "claim": "Betas of high-RShare portfolios are over 20% lower than those of low-RShare portfolios, with a high-minus-low return spread of about -3.9% per year.",
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    "claim": "High-RShare firms have lower exposure to cash-flow news and to GDP growth.",
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    "claim": "In downturns, high-RShare firms invest more in machines and cut more routine-task labor than industry peers.",
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    "claim": "High-RShare firms cut costs more and lose less value during recessions, but not during expansions.",
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    "claim": "The switching option is exercised when productivity falls below a threshold, which lowers firm risk.",
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    "evidence_ref": "Section I; Appendix A"
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    "claim": "Routine-task job loss is concentrated in recessions.",
    "evidence_type": "prior_literature",
    "evidence_ref": "Jaimovich and Siu (2014); Figure 1"
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  "structural_summary": "The paper opens with labor-economics evidence that routine jobs are automated mainly in recessions. It frames labor-technology substitution as a state-contingent investment option distinct from growth options. A simple real-options switching model then predicts lower risk for firms with routine-task labor. Next, an establishment-level measure of routine-labor share is built from occupational data. The empirical section proceeds in three steps: characteristics, then asset-pricing tests via sorts, betas and panel regressions, then mechanism tests on investment, employment and performance around aggregate shocks. It also separates the mechanism from an operating-leverage explanation. The conclusion restates the insight, and proofs and data details are placed in appendices.",
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