Useful productivity

Area: definition. Apply the shared measurement protocol.

Estimated progress toward AI-managed robotics

30% complete — judgment-based estimate as of November 7, 2026. Confidence: low. The scale starts at 0% before ChatGPT's public release in 2022 and ends at 100% when AI manages the field's continuing advancement without human participation. This rates the outcome's contribution to that transition, not the percentage of tasks solved, a measured fraction of the field, or time remaining.

The shared scoring rubric uses five equally weighted dimensions: execution, breadth, agenda-setting, validation, and sustained autonomous improvement. Points for this outcome are 10 + 5 + 5 + 5 + 5 = 30/100, in that order; each dimension has a maximum of 20. These component judgments make the estimate inspectable, but are not independently measured scores.

Reason for the estimate: Automated characterization increases specialized throughput, but accepted functional output per full dollar and unsupervised operation across settings are unmeasured. The dated baseline below supplies the findings and source links used for this assessment. Unmeasured components receive no demonstrated-progress credit; missing evidence does not prove a missing capability.

What would move the score: Measure externally accepted outputs per operating hour and total cost including supervision, failures, maintenance, consumables and depreciation. Higher autonomy scores additionally require AI to select worthwhile work, validate results and improve the process over repeated cycles without human research management, repair or adjudication. Lower the score if replication fails, quality regresses or previously hidden human assistance is found. Preserve this dated estimate when adding future assessments.

Measurement and acceptance rule

Accepted physical outputs per hour and fully loaded dollars per output, including setup, maintenance, supervision, and depreciation.

Evidence requirements

Use randomized task selection and complete trial logs or video, not selected demonstrations. Separate simulation from physical tests, and supervised operation from autonomy. Define what counts as damage or a near miss. Zero incidents in a small trial is not proof of a low underlying incident rate; report exposure and uncertainty.

Related milestones

See the area's proposed milestones. Proposed targets are distinct from the dated evidence below.

Baseline as of November 7 2026

Status: Physical workflow throughput proxy. Sources accessed November 7, 2026. This is a documentary baseline, not an independent replication or an assertion of the worldwide best result. An unknown measurement is not zero.

Dated findings

August 20, 2026: SAPP reports hundreds of protein designs characterized per day in an automated experimental workflow. Protein design validation platform, Nature Communications.

Interpretation and tracking value

This is a specialized laboratory throughput result, not general household/manufacturing productivity or fully loaded dollars per accepted functional output.

Next comparable measurement

Measure externally accepted outputs per operating hour and total cost including supervision, failures, maintenance, consumables and depreciation. Preserve this dated observation; append future results with their model/system version, denominator, budget and evidence level rather than overwriting it.