For your life
Research translated into the decisions, services, and experiences that could actually change.
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 randomized field experiment covering 1,352 real chatbot misunderstandings at a large insurer, a collaborative repair strategy raised the odds that the conversation would get back on track and reduced abandonment and negative feedback.
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 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 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 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.
A deep-learning system compared early charge patterns across battery types and conditions to make more transferable lifespan predictions.
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.
