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Storage performance

Area: definition. Apply the shared measurement protocol.

Estimated progress toward AI-managed energy

35% 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 + 10 + 5 = 35/100, 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: Adaptive cycling yields measured laboratory lifetime gains with feedback control. Commercial-scale efficiency, lifetime cost and autonomous development across duty cycles are not established. 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: Replicate on commercial-format cells at matched delivered energy and duty cycle; measure efficiency, useful life and full lifetime dollars/kWh. 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

Measured round-trip efficiency, useful cycle life, and lifetime cost per delivered kWh under the same duty cycle.

Evidence requirements

Separate simulation, controlled experiment, pilot installation, and operational deployment. Use metered outcomes and matched or randomized comparisons where feasible. Include hardware changes, maintenance costs, model computation, and rebound effects when relevant. Evaluate reliability constraints alongside efficiency; simulated savings or plasma gain must not be relabeled as delivered commercial electricity.

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

Baseline as of November 7 2026

Status: Measured laboratory cycle-life improvement. 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

December 16, 2025: At 80% state of health, intelligent cycling averaged 1,915 cycles versus 723 for fixed cycling: approximately 2.65 times the cycle count. Real-time AI for solid-state lithium metal batteries.

Interpretation and tracking value

The proof of concept uses small cells and adaptive charging at high rates. It does not establish matched-duty-cycle grid-storage cost or round-trip efficiency at commercial scale.

Next comparable measurement

Replicate on commercial-format cells at matched delivered energy and duty cycle; measure efficiency, useful life and full lifetime dollars/kWh. Preserve this dated observation; append future results with their model/system version, denominator, budget and evidence level rather than overwriting it.