The American Worklife Survey

Executive summary

In May 2025, QuestionPunk asked 100 employed American adults the kind of questions Studs Terkel asked in Working: What's your average day like? How do you feel about getting up in the morning? Is your day well spent? An AI interviewer read each person's answers as they went and wrote three personalized follow-up questions.

The headline is a split screen. Asked about their own workplace, Americans are strikingly content: 87% describe their workplace as a good place to work, 84% say their day is well spent, and 60% speak positively about getting up in the morning. Asked about the working world in America, the same people turn dark: only 20% respond with anything positive, while 41% respond negatively — naming hustle culture, wages that don't stretch, automation anxiety, and a perceived decline in care and craft. This tension — personal contentment amid systemic worry — is the study's central finding, and it survived a complete re-coding of every answer in 2026 under a documented codebook with two independent coding passes and high reliability on the headline items (Krippendorff's α = 0.93–1.00, with perfect agreement on the good-place-to-work verdict).

Every figure and every quotation in this edition was recomputed and re-verified against the raw response records; quotations are lightly copy-edited for spelling and punctuation only — wording is never changed, omissions are marked with ellipses — and every quote is verified against the stored response records, with each speaker's recorded occupation and state. Where this edition's numbers differ from the May 2025 publication, the differences and their cause are documented in the methodological disclosure.

1 · The Terkel method, with a machine asking the follow-ups

Terkel's interviews worked because the follow-up question came from what the person had just said. That is the part a static questionnaire cannot do — and the part this study delegated to an AI interviewer. After the opening battery, after the mid-survey reflection, and again near the end, an AI agent reviewed the respondent's own words and asked one tailored question each time (three per respondent, each with a different interviewer persona — friendly, expert, researcher).

The follow-ups pulled more out of people than the open prompts did: the median respondent wrote 378 characters across their three AI follow-up answers — about twice as much per answer (≈126 characters) as the median standard open-ended answer (62 characters). Section 7 shows what came back.

2 · Who we talked to

100 U.S. adults who completed the interview (of 114 who started), recruited from the Prolific panel on the evening of May 4, 2025. This is a nonprobability sample of employed, survey-panel Americans — a lens, not a census (see the disclosure for composition against benchmarks).

• Work status: 94% employed full-time, 5% self-employed, 1% part-time.
• Occupations (double-coded from their own descriptions, α = 0.90): business & management 34%, technology & IT 13%, healthcare 12%, sales & customer service 11%, education & research 9%, engineering/technical 7%, construction & labor 3%, government & law 3%, arts & culture 1%, other 7%.
• Tenure: a quarter entered the workforce in the 2000s (27%), a quarter in the 1990s (25%), a quarter in the 2010s (25%); 13% are 2020s entrants and 10% predate 1990.
• Gender: 56% men, 43% women, 1% preferred not to say. Education: 74% college graduates or higher — markedly more educated than the U.S. workforce. Geography: 33 states, led by California (9), Florida, Virginia, Texas (6 each).

3 · Daily work: the shape of the day

Asked to describe an average day, most people simply describe it — under the re-coding's stricter rules, 81% of average-day descriptions are neutral in tone (11% positive, 8% negative). The content splits between people-facing days (customer/client/patient interaction, 21%), desk-and-meetings days (administrative/office 14%), running teams (14%), and physical work (10%). The range is the point:

"Slice meat and serve customers rotisserie chickens"

Deli worker, man, Tennessee

"I log on to work, meet my team for daily standup, and then do my work individually. Sometimes, I have other meetings throughout the day, but usually I am coding most of the day."

Senior data scientist, man, Washington

"I start seeing patients at 8 am and I see patients without break until 7 pm. I do documentation for 20 minutes while eating food. I am exhausted when I get home and go to sleep after watching TV for an hour."

Healthcare professional, man, New Jersey

Asked about the people they're responsible for helping, respondents lean warm: 34% speak positively about their customers, clients, students, or patients, and only 3% negatively (63% neutral/descriptive). One in five (21%) has a job that faces only internal staff.

"I'm responsible for helping students, who are my primary focus. They come from diverse backgrounds and have varying needs, abilities, and learning styles. Some are highly motivated, while others may face challenges, but all of them are eager to learn and grow."

Teacher, woman, Virginia

The verdict on the workplace itself is the sunniest number in the study. On the whole, is it a good place or a poor place to work? 87% good, 10% poor, 3% mixed (α = 1.00 — the two independent coding passes agreed on every one of the 100 answers).

"It is a good place where everyone is treated equally, the work colleagues have a good relationship with other core workers, the organizational culture is excellent."

Finance manager, woman, Texas

"It's a bad place to work for me. The pay is incredibly low and I work with just one other person in my area. I miss having a job with lots of physical interaction with other people. I feel too isolated here."

Billing clerk, man, Arizona

Workspaces themselves are described flatly (61% neutral, 34% positive, 5% negative): open offices (16%), home offices (10%), storefronts and counters (11%), cubicles and private offices (10%), plus labs, clinics, warehouses, and job sites.

"We are back to an open office that is honestly quite nice, but I kinda miss my own cubicle."

Software developer, man, California

"Space is a huge lab space with multiple lab benches for each scientist or tech. I have my own office. We have a ton of equipment around."

Lab director and scientist, woman, Pennsylvania

4 · Meaningful workdays

How do you feel about getting up in the morning and going to work? 60% positive, 15% negative, 25% neutral or genuinely mixed. The texture runs from appetite —

"The first thing I do when I wake up is check my phone and start working, haha. I work 7 days a week, averaging about 80 hours. Even after almost 8 years of this, I still have the same motivation. My company feels like a part of me, and I want it to do the best it possibly can."

Procurement & shipping manager, woman, West Virginia

— to the workday stoicism Terkel would have recognized:

"I stay fairly tired but the hard part is just getting up. Once I am up I am usually good and ready to go. Sometimes I have to work the next 15 hours and even though it is tiring it is worth it to me."

Supervisor, woman, Mississippi

And is the day well spent? 84% say yes — the study's second-strongest positive (4% negative, 12% noncommittal).

"I'd say so — I have breakfast with my wonderful wife in the morning, and after I have a busy day at the data center, but time goes by relatively quickly and my coworkers make work easier."

Field technician, man, Virginia

5 · Surprises and shifts

What would surprise people about your line of work? Answers split almost evenly in tone (29% positive, 28% negative, 43% neutral). The biggest single theme is misconceptions about the role (28%) — the job is harder, more skilled, or more human than it looks — followed by hidden workload (17%):

"People are usually surprised by how much of my job isn't about computers — it's about people. You can have the best tech in the world, but if you don't understand how users actually work, you'll miss the mark."

IT specialist, man, California

"Unless you knew me and the position I work or hold, you would think that I was just a line worker working in customer service with no bachelor degree."

Supervisor, woman, Mississippi

A quieter thread is pay: several respondents said the surprise is "how little they pay" — "The amount of money I make at the job. It is embarrassingly low." (billing clerk, Arizona); "How little the pay is for the level of training required." (lab director, Pennsylvania).

How is the work different from when you started? 29% frame the change positively (usually their own ascent), 19% negatively, 52% descriptively. Technology and digitization lead the themes (20%), then pace and volume (14%) and changed responsibilities (13%); 12% say nothing significant has changed.

"When I started, I was at the bottom of the totem pole. I am now a supervisor of 10 people, and essentially run the IT department. It is much more rewarding these days."

Network administrator, man, Tennessee

"It's less work that I have now, because things have slowed down, so my days are not that productive. It's so hard passing time at work because now I'm finishing way ahead of time all my tasks."

Medical records audit processor, woman, Florida

6 · The satisfaction paradox

Then comes the question that flips the mood. If I said to you, "the working world today in America," what thoughts come to mind? Positive responses collapse to 20%; 41% are negative and 39% neutral. Set against the 87% who call their own workplace good, this is a 67-point gap between "my work" and "work in America."

What the worry is about: economic pressure and inequality (22% of responses), burnout and work-life balance (20%), technology and automation (10%), declining work ethic or care (4%), with a countercurrent of explicit optimism at 11%.

"A hustle culture where people are working from sun up to sun down just to make ends meet"

Retail store manager, man, California

"I'm thinking of people that are working hard, but barely making ends meet."

Billing clerk, man, Arizona

"Very technology focused, new jobs being created all the times. Technology shifting the focus of existing jobs like nurses, teachers, police and others"

Technology consulting manager, man, California

The paradox mirrors a long-standing survey finding (people rate their own congressman, school, and doctor above everyone else's), but hearing it in one voice is different: the same Mississippi supervisor quoted above worries that "the desire to do a great job daily is lost with a lot of people." Personal experience is concrete and largely good; the national picture is an abstraction assembled from headlines, prices, and other people's stories — and it is largely bad.

7 · What the AI follow-ups added

Each respondent got three AI-written questions, personalized to their earlier answers. All 100 completers answered all three blocks. In tone, the early follow-ups drew out the warmest material (block 1: 56% positive; block 2: 63% positive) while the final block — keyed to the questions about change in America — split evenly (35% positive, 31% negative, 34% neutral). Topics, coded under the remediated 2026 codebook (α = 0.85): challenges at work (26%), technology and tools (19%), employer policy and support — pay, staffing, turnover (14%), teamwork (9%), plus communication, leadership, and career development.

The best of what came back was precisely what static questionnaires miss — the specific story:

[AI] Can you describe a particularly memorable or impactful experience you've had while helping a client secure a loan?
"I had the opportunity to help 3 pediatric doctors purchase a building in an underserved area of Maryland so that they could help that community. It was a good feeling to help them and the community out."

Loan processor, man, Nevada

[AI] Can you share an example of a time when you had to make a difficult decision for the benefit of your team?
"I had a time when I had to terminate a good client because of the way they had been treating the team. I knew that by terminating this account, our company would take a hit but I could not allow that behavior."

Managing partner, man, New York

[AI] Can you describe how changes in workplace culture have affected employee morale and productivity?
"They don't take pride in their appearance nor their work. Employees do not care how productive they are these days"

Roofer, man, Illinois

[AI] Can you describe a specific project or moment at work that made you feel particularly proud or fulfilled?
"The client praised the plan for bringing clarity to their long term goals, and it was a moment that brought together all my core skills and left me feeling genuinely proud."

Financial consultant, woman, North Carolina

The transcript also records the method's rough edges, disclosed rather than trimmed: one respondent answered a follow-up by pasting a generic wellness listicle; a few AI questions leaned on flattering premises. Both behaviors are counted in the coding and discussed in the disclosure.

8 · "But there's stuff we've left out, haven't we?"

The interview closed the way Terkel liked to close. Roughly 43% said no — nothing was left out; 28% answered with a brief closing reflection or bounced the question back ("Like what?"), and the rest volunteered one last thing: commutes and parking garages, coworker banter, working through lunch, parenting.

"Mostly the more boring and mundane things, like me commuting about thirty minutes each way and parking in the employee garage, making a smoothie at work since I skip breakfast, and generally enjoying Game Grumps and Magic: The Gathering videos in particular when I get back home."

Clinical nurse, man, Colorado

"Not much to talk about besides parenting responsibilities."

Woman, Wyoming

A note on this edition

For this July 2026 edition, every figure was recomputed from the raw response records and every open-ended answer was re-coded under a documented codebook with measured intercoder reliability; quotations follow a disclosed light copy-editing policy (spelling and punctuation only) and are verified against the stored data, with attributions re-derived from the records. Details and the full published-vs-recoded comparison are in the methodological disclosure.