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AI that could change how people do their jobs, make decisions, build products, manage risk, or spend time and money.
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In three randomized company experiments covering 4,867 software developers, access to an AI coding assistant increased completed tasks by an estimated 26.08%, with larger gains and higher adoption among less-experienced developers.
In a large-scale randomized Alibaba warehouse experiment, a human-centric packing algorithm cut switches to larger boxes on targeted packages from 29.5% to 23.8% and reduced average packing time by 4.5%.
In a peer-reviewed two-by-two randomized field experiment with 1,090 observations, giving human e-commerce sales agents AI augmentation increased sales by 5.46%, and the least-experienced agents benefited nearly six times as much.
In a randomized Pairit study of 2,234 participants producing 11,024 ads, human-AI teams created 50% more ads per worker and better text, but human-human teams chose better images, and those tradeoffs carried into a field test that generated more than 4.9 million impressions on X.
In a randomized field experiment involving 553 workers managing more than 59,000 smart vending machines and 4,000 SKUs, limiting downward overrides to two SKUs per machine cut inventory 1.28% without reducing sales, whereas unrestricted overrides cut inventory 1.95% but reduced sales 1.19%.
In a randomized field experiment with 250 employees at a Chinese technology consulting firm, giving workers ChatGPT accounts raised supervisor-rated creativity by 0.84 points on a 1-to-5 scale and external-rater novelty by 0.25 points, but the gains were concentrated among employees with stronger metacognitive strategies.
In a retail field experiment covering about 1,888 SKU forecasts, fully automated AI performed best for innovative products and short-term forecasts, but for established products over longer horizons, human augmentation cut forecast error from 1.59% to 0.78%.
In a peer-reviewed field study of a 29-day free trial among Yokohama taxi drivers, turning on a machine-learning route-suggestion tool cut customer-search time by about 5% overall and 7% for lower-skilled drivers, narrowing the productivity gap between high- and low-skilled drivers by 13.4%.
In a randomized field experiment on a large Chinese truck-sharing platform, adding human-like interjections and filler words to a voice dispatch chatbot increased driver response probability by more than 5.6%, lengthened calls by 24.9%, and raised order-acceptance intention by 10.1%, while upfront bot disclosure cut response probability by around 11%.
In a multiphase study of large organizations in Ontario's critical-peak pricing program, neural-network demand forecasting plus planning-prompt curtailment emails reduced peak-hour energy use by 42.13% versus a self-managed baseline and produced average annual net savings of $232,843 per organization.
Across three randomized workplace experiments involving 4,867 developers at Microsoft, Accenture, and a Fortune 100 manufacturer, access to GitHub Copilot increased completed software tasks by an estimated 26.08% among users, with larger gains for newer and more junior developers.
In a staggered rollout across 5,172 customer-support agents at a Fortune 500 software firm, a generative-AI assistant raised issues resolved per hour by 15% on average, with the biggest gains among newer and lower-skilled workers.
In a preregistered field experiment with 791 Procter & Gamble professionals tackling real product-development problems, GPT-4 raised solo workers' solution quality by about 0.37 standard deviations and helped them match the performance of two-person teams without AI.
In a preregistered randomized experiment with 758 BCG consultants, GPT-4 made suitable business tasks more than 25% faster and 32% higher-quality, but cut correctness by 19 percentage points on a task built around a misleading data pattern.
In a 5.5-year field experiment with 72 pharmaceutical sales experts, tailoring work procedures, decision authority, training, and incentives to employees' cognitive styles increased daily meetings by more than 40%; an untailored rollout cut them by about 20%.
In a preregistered experiment with 269 workers, people who drafted first and used AI to edit felt as confident, connected, and purposeful as people who worked alone; copying AI output did not.
In a six-month experiment across 10 U.S. cities, changing route recommendations for fewer than 2% of observed Google Maps trips cut affected trips’ total travel time by a median 0.69%.
A deep-learning system compared early charge patterns across battery types and conditions to make more transferable lifespan predictions.
A global forecasting model extended the reliability of today's flood nowcasts several days into the future and now supports public warnings in more than 80 countries.
GraphCast beat a leading conventional forecast on most tested variables and pressure levels, then produced a global 10-day forecast in under a minute.
A real-world rollout gave customer-support agents AI suggestions—and the largest gains went to newer, less experienced workers.
In a small randomized field test, pilots used AI-informed altitude changes and produced 54% fewer detectable contrails per flight-kilometer.
AlphaFold's public database now gives researchers predicted structures for more than 214 million protein sequences—nearly the full catalog science already knows.
