Statistics

Ask a knowledge worker what's wearing them down, and the answer is rarely one thing. It's the ping during a meeting, the tab you forgot you opened, the inbox that refilled while you were in a Slack thread. The statistics below trace that feeling to its sources: how much of the modern workday goes to managing digital noise rather than doing the work itself, and, more usefully, which fixes people reach for are backed by evidence and which are folklore that happens to sound plausible. Key digita

"Information overload" gets thrown around so often it's started to feel like a vibe instead of a measurable thing. It isn't. Researchers have been clocking exactly how much information knowledge workers process, how often they get pulled away from it, and how long it takes to recover - for two decades now. The picture that emerges from that research is more specific, and more useful, than the usual "we're all so busy" narrative: overload has a shape, a cost, and, importantly, a set of condition

I went looking for every traceable primary study on context switching I could find: the controlled lab experiments, the field observations of real offices, the corporate telemetry, the longitudinal attention-tracking research. What I found is a research base that's both more alarming and more nuanced than the version that circulates online. Below is what the primary research actually supports Key context switching statistics * Task switching can consume up to 40% of a person's productive tim

78% of neurodivergent employees now use AI at work, 6.0% of U.S. adults have a current ADHD diagnosis, and 34.7% of disabled students using generative AI for writing cite ADHD or neurodivergence - yet researchers are also finding potential drawbacks. Below is what the data actually says on both sides. Key AI and ADHD statistics * 6.0% of U.S. adults (about 15.5 million people) currently have a diagnosed ADHD, and more than half were diagnosed after age 18 (CDC/NCHS, 2025) * 78% of neurodive

Three out of four professionals now say an AI note-taker sits in on their work meetings. Here is what you need to know about the AI Note-taking market: Key AI note-taking statistics * 75% of professionals now use an AI note-taker in their work meetings — a figure that has climbed sharply since 2023. (Fellow.ai, 2025 — vendor-funded survey; see notes below) * The global AI note-taking market is projected to grow from $740.41 million in 2026 to roughly $3.48 billion by 2035, an 18.75% compoun

The picture that emerges isn't "remote work works" or "remote work doesn't" - it's that the effect depends heavily on the type of work, how it's measured, and whether trust and structure travel with the employee out of the office. Key remote work productivity statistics * About 25% of all paid workdays in the US were done from home as of May 2026, essentially unchanged from the 26-30% range that has held for three years post-pandemic. (WFH Research / Stanford, 2026) * 69% of managers say hy

Ask ten people what "AI assistant" means and you'll get ten different answers: a chatbot on a phone, a smart speaker in the kitchen, Copilot inside a spreadsheet, an agent that drafts code. The 2026 data treats all of these as the same underlying shift, and the numbers tell a more complicated story than either the adoption headlines or the backlash headlines suggest. AI Assistants are now mainstream by any measure. Whether they're actually making the people using them more productive depends h

The data below spans two decades of workplace research, from a WHO-backed survey of 7,000+ workers in ten countries to a 2026 government accommodation-cost report Key ADHD workplace statistics * 6.0% of U.S. adults (15.5 million people) currently have a diagnosed ADHD, per the CDC's 2023 National Center for Health Statistics survey * 22.1 excess days of lost work-role performance per year for workers with ADHD, found across 10 countries by the WHO World Mental Health Survey Initiative * 4-

Two things are true about AI at work in 2026, and most coverage only tells you one of them. * The first: adoption has gone mainstream, and in specific, well-defined tasks, the productivity gains are real and measurable. * The second: at the level of the whole organization, most of that gain disappears before it shows up on a P&L, and a landmark randomized trial just found that AI made experienced professionals slower, not faster. This isn't a contradiction. It's a pattern - and the data below

In this article, we will pull data from CDC data briefs, WHO-affiliated workplace surveys, and randomized controlled trials of digital interventions to answer: what does the evidence actually say about why ADHD makes productivity harder, and which interventions have data behind them Key ADHD productivity statistics * 15.5 million U.S. adults (6.0%) currently have an ADHD diagnosis, and more than half were diagnosed in adulthood rather than childhood. (CDC/MMWR, 2024) * 71.5% of adults takin

Every statistic below links directly to the primary source that produced the data — peer-reviewed journals, national research institutions, and original surveys — not secondary roundups. Three years into the generative AI era, the question has shifted from "will AI make us more productive?" to "how much, for whom, and under what conditions?" The research now includes randomized controlled trials published in Science and The Quarterly Journal of Economics, Federal Reserve surveys, and analyses