10 sources filed · EN 10
Five practices made the tools usable: AI as draft labour, iterative steering, switching and comparing across tools, release work before circulation, and repair of context misfit.
27workers interviewed, across 21 small and medium-sized businesses
Overall essay quality was higher with the scaffold (mixed-model b = 0.089, p = .008) and stayed higher in Task 2 when neither group had it (b = 0.070, p = .037).
64.6% vs 45.6%correct topic recall about three days later, scaffolded vs control (Task 1, complete cases)
During the staggered period, 59 of 75 early-access students and 0 of 78 later-access students used the tools.
153students with grade and usage records (75 early access, 78 later access)
World: 35.2% of task time at partial delegation or above; 2.5% at full delegation.
35.2% / 2.5%share of world task time at least partly delegable vs fully delegable to AI agents in 2026
Across 104 quizzes and 1,040 answers, mean scores fell from 7.4 to 2.9 out of 10.
7.4 to 2.9mean quiz score out of 10 as the share of planted falsehoods rose from 0% to 100%
Each participant did two tasks per condition: correct code, a silent defect that passed visible pre-merge checks, and a blatant defect that failed them (214 usable task instances).
N = 36programmers in the controlled study, each doing six tasks with a coding agent
Among students with baseline interest, the AI arm raised the probability of ranking an education major first by 1.4 pp (control mean 26.1%) and the share of education majors in the choice set by 1.1 pp (control mean 24.4%), both significant at 5%.
1.4 percentage pointsrise in ranking an education major first in the AI arm, among students with baseline interest (control mean 26.1%)
On 28 August 2024 the AI's share of cold leads jumped from about 25% to above 60%; its share of hot leads stayed below 10% in daytime hours.
below 25% to above 60%jump in the share of cold leads handled by the AI voice agent at the 28 August 2024 expansion
Study 2: 14.8 M visitors on 100 sites in 14 industries randomized to no agent, Javo, or a frontier-model agent with the same interface, catalog tools and guardrails.
14.8 Mvisitors randomized across 100 live websites, 1 May to 30 September 2026
Faster (45%): familiar work done faster or at greater volume.
331Microsoft software developers whose open-ended answers were analysed
11 sources filed · EN 11
115+ hours of video, 100 problem sets, 508 steps across 90+ software tools; most participants used Sonnet 5.5.
115+ hoursscreen recordings of professionals collaborating with agents
The best method reached a QWK of 0.616 at Cambridge, 0.420 at Nottingham and 0.345 at Manchester Met.
761undergraduate psychology assignments from Cambridge, Manchester Metropolitan and Nottingham
Consumers paid $0.37 on average for a human-directed game over its basic version, and $0.47 for AI-designed games; a 10-cent gap, 0.31 SD.
$0.47 vs $0.37average willingness to pay for AI-designed vs human-designed games (gap 0.31 SD, p < 0.001)
Experts more often decomposed the problem, investigated assumptions and steered the agent; novices more often copy-pasted, delegated decisions and reviewed only on the surface.
20professionals (designers, PMs, engineers, data scientists) observed on the same task with the same agent
Survey: n = 263, 68 items.
PSS 0.813best Psychometric Similarity Score (MiniMax M3) for a synthetic sample
Early access beat late access by 0.36 points (Hedges' g = 0.62, p = 0.018) and beat no AI by 0.49 points (g = 0.83).
0.62 standard deviationsdrop in expert-rated creativity when the same 15 minutes of AI access moved from search to selection
Study 1 (explicit gender, 6,000 queries): men got higher salary recommendations in all six occupation-by-age cells; average gap $2,408 (95% CI 2,097-2,720).
$5,820higher pooled salary target recommended for male-named vs female-named candidates (Study 2)
With skills fixed, the return to AI falls with task skill and rises with each managerial ability.
Before the mandate only 14.8% of staff had used the tool; 31.2% used it for the first time in the first mandate month and 9.1% more the next.
31 percentshare of queries that were repeated or off-task under the 200-queries-a-month mandate
Generative AI raises the whole quality curve: at any minute, AI-assisted work scores higher than unaided work.
219professional and student artists in the experiment (168 treatment, 51 control)
The unconstrained model (gradient boosting, protected attributes held out of inputs) is "not distribution-preserving": a non-trivial share of occupations sit above the 45-degree line, meaning amplified concentration, and amplification exceeds attenuation in size.
60intersectional groups formed from gender, nationality and age