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Adaptation · Adopters

Customer-support productivity uplift from a generative-AI assistant

Change in issues resolved per hour when support agents get a generative-AI assistant, from the Brynjolfsson, Li and Raymond field experiment (NBER WP 31161), with the novice effect and MIT Sloan's restatement shown alongside.

Reason through this

The reading

A 14% average, 34% for novices and nothing for experts. A tool that levels the floor, not one that replaces the role.

Every readingeach dot links to its record
a readingnormal rangefast range
estimate

1 reading drawn from nber.customer_support_agents.productivity_uplift.pt, one of 2 series listed under How it is measured; 2 observations in the evidence.

Source: NBER working papers and chapters. NBER.

The numbers
as ofreadingvaluerecord
2023-04-30customer support agents14.0%estimate

Why it matters

The best-identified productivity effect on record for a deployed assistant; the normal-technology story predicts modest average gains concentrated in novices, which is exactly what it found.

What cuts against it

One firm, one tool, 2020-21 vintage models; issues per hour is a partial productivity measure; later assistants may do more.

How it is measured

Normal = an average uplift under 20%, the range prior process tools (CRM, knowledge bases) delivered in the same job; fast = 50% or more, the order of magnitude the fast scenario needs from a single tool. Between is `emerging`.

Applied to nber.customer_support_agents.productivity_uplift.pt.

Latest readings
  • 2023-04-30 customer_support_agents · 14.0%as of 2023-04-30
Why this status, and its history

Evaluator: 0.14 (NBER working papers and chapters, 2023-04-30) is inside the consistent band (hi=0.2). Auto-reason; band rationale: Normal = an average uplift under 20%, the range prior process tools (CRM, knowledge bases) delivered in the same job; fast = 50% or more, the order of magnitude the fast scenario needs from a single tool. Between is `emerging`.

  1. 2026-09-10unmeasured to consistent with normalconf — → 75 · the evaluator (automatic)

    Evaluator: 0.14 (NBER working papers and chapters, 2023-04-30) is inside the consistent band (hi=0.2). Auto-reason; band rationale: Normal = an average uplift under 20%, the range prior process tools (CRM, knowledge bases) delivered in the same job; fast = 50% or more, the order of magnitude the fast scenario needs from a single tool. Between is `emerging`.

    source1
Why this confidence

Rests on 2 observations from MIT Sloan Institute for Work and Employment Research, NBER working papers and chapters; best evidence tier 6, grade B; current.

Confidence is independent of status: 90–95 multiple strong independent sources; 70–89 good evidence, some ambiguity; 50–69 mixed or hard to operationalise; 0–49 limited or vague evidence.