Prepared by Verasight

AOM Omnibus

Name: report.html
Creator: Verasight

Survey results from a nationally representative sample of adults aged 18+. All questions were submitted by attendees of the 2026 Annual Meeting of the Academy of Management.

1,000 respondents

August 12, 2026 – August 18, 2026

34 questions

Key Takeaways

73%

believe most companies benefit a lot from corporate political activity

84%

have run into a coworker outside of work

49%

think AI is destroying humanity

72%

would trust a multi-disciplinary expert over a single-specialty one

69%

have never heard of makerspaces

70%

say a husband should do his best to provide for his wife and children

Perceived Benefits of Corporate Political Activity

Do you think most for-profit companies benefit from corporate political activity such as supporting candidates for office, lobbying legislators, contributing to campaigns?

(N = 1,000)

Yes, I think most companies benefit a lot from corporate political activity.

73%

No, I think most companies do not benefit from corporate political activity.

12%

I am not sure.

16%

Demographic Crosstabs

Response	Male	Female	Other
Yes, I think most companies benefit a lot from corporate political activity.	78%	68%	72%
No, I think most companies do not benefit from corporate political activity.	11%	12%	28%
I am not sure.	12%	19%	0%

Response	White	Black	Hispanic	Other
Yes, I think most companies benefit a lot from corporate political activity.	72%	68%	74%	76%
No, I think most companies do not benefit from corporate political activity.	12%	15%	9%	9%
I am not sure.	15%	17%	17%	14%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Yes, I think most companies benefit a lot from corporate political activity.	65%	75%	79%
No, I think most companies do not benefit from corporate political activity.	14%	11%	10%
I am not sure.	21%	15%	11%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Yes, I think most companies benefit a lot from corporate political activity.	63%	74%	82%	76%
No, I think most companies do not benefit from corporate political activity.	12%	12%	8%	13%
I am not sure.	24%	14%	10%	11%

Response	Democrat	Independent	Republican
Yes, I think most companies benefit a lot from corporate political activity.	82%	69%	68%
No, I think most companies do not benefit from corporate political activity.	9%	12%	14%
I am not sure.	9%	19%	18%

Response	Northeast	Midwest	South	West
Yes, I think most companies benefit a lot from corporate political activity.	77%	72%	68%	76%
No, I think most companies do not benefit from corporate political activity.	9%	15%	13%	9%
I am not sure.	13%	13%	19%	14%

Most Effective Onboarding Practice

In the workplace, which onboarding practice is most likely to improve performance for an entire organization, not just one employee? (Select all that apply)

(Select all that apply)

(N = 1,000)

Clear communication among employees and managers

22%

Breaking work into teachable steps

Identifying overlooked workflow problems

Visual tools/checklist

All of the above

68%

I'm not sure / I don't know

Demographic Crosstabs

Response	Male	Female	Other
Clear communication among employees and managers	24%	20%	0%
Breaking work into teachable steps	10%	5%	0%
Identifying overlooked workflow problems	9%	8%	0%
Visual tools/checklist	7%	6%	0%
All of the above	68%	69%	100%
I'm not sure / I don't know	3%	7%	0%

Response	White	Black	Hispanic	Other
Clear communication among employees and managers	21%	22%	25%	18%
Breaking work into teachable steps	8%	12%	5%	6%
Identifying overlooked workflow problems	8%	13%	9%	8%
Visual tools/checklist	6%	10%	7%	2%
All of the above	68%	65%	65%	78%
I'm not sure / I don't know	6%	8%	4%	1%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Clear communication among employees and managers	22%	20%	22%
Breaking work into teachable steps	8%	6%	9%
Identifying overlooked workflow problems	10%	7%	8%
Visual tools/checklist	6%	4%	8%
All of the above	62%	74%	71%
I'm not sure / I don't know	9%	4%	2%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Clear communication among employees and managers	18%	24%	22%	21%
Breaking work into teachable steps	6%	8%	9%	10%
Identifying overlooked workflow problems	7%	9%	8%	9%
Visual tools/checklist	5%	7%	5%	7%
All of the above	67%	67%	73%	71%
I'm not sure / I don't know	11%	4%	2%	2%

Response	Democrat	Independent	Republican
Clear communication among employees and managers	21%	18%	26%
Breaking work into teachable steps	9%	7%	8%
Identifying overlooked workflow problems	8%	7%	10%
Visual tools/checklist	8%	3%	9%
All of the above	70%	72%	62%
I'm not sure / I don't know	3%	6%	6%

Response	Northeast	Midwest	South	West
Clear communication among employees and managers	24%	16%	22%	24%
Breaking work into teachable steps	10%	7%	7%	7%
Identifying overlooked workflow problems	14%	6%	8%	8%
Visual tools/checklist	5%	6%	7%	5%
All of the above	64%	73%	69%	67%
I'm not sure / I don't know	5%	6%	5%	5%

Workflow Problem Identification

Who is most likely to identify hidden workflow problems in the workplace?

(N = 1,000)

Supervisor

19%

Coworkers

37%

New employee

16%

Someone working alongside the employee during onboarding (ex. Job Coach)

14%

I'm not sure / I don't know

Demographic Crosstabs

Response	Male	Female	Other
Supervisor	21%	17%	0%
HR	6%	6%	0%
Coworkers	36%	38%	0%
New employee	17%	15%	67%
Someone working alongside the employee during onboarding (ex. Job Coach)	13%	14%	0%
I'm not sure / I don't know	7%	10%	33%

Response	White	Black	Hispanic	Other
Supervisor	14%	30%	29%	17%
HR	6%	11%	4%	6%
Coworkers	40%	25%	36%	39%
New employee	17%	9%	12%	20%
Someone working alongside the employee during onboarding (ex. Job Coach)	14%	13%	12%	14%
I'm not sure / I don't know	9%	11%	6%	5%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Supervisor	24%	17%	14%
HR	8%	7%	4%
Coworkers	33%	39%	40%
New employee	11%	14%	22%
Someone working alongside the employee during onboarding (ex. Job Coach)	14%	14%	13%
I'm not sure / I don't know	10%	10%	6%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Supervisor	22%	18%	19%	17%
HR	7%	6%	7%	3%
Coworkers	35%	39%	33%	41%
New employee	9%	16%	18%	24%
Someone working alongside the employee during onboarding (ex. Job Coach)	13%	13%	17%	13%
I'm not sure / I don't know	13%	8%	6%	4%

Response	Democrat	Independent	Republican
Supervisor	20%	19%	18%
HR	7%	6%	6%
Coworkers	38%	32%	43%
New employee	18%	18%	10%
Someone working alongside the employee during onboarding (ex. Job Coach)	11%	14%	15%
I'm not sure / I don't know	6%	11%	8%

Response	Northeast	Midwest	South	West
Supervisor	17%	13%	22%	21%
HR	8%	6%	7%	4%
Coworkers	46%	40%	34%	34%
New employee	12%	17%	13%	22%
Someone working alongside the employee during onboarding (ex. Job Coach)	7%	18%	16%	9%
I'm not sure / I don't know	11%	6%	8%	11%

Joint Schedule Planning with Partner

To what extent do you and the romantic partner you live with plan your day-to-day schedules together to manage your work and personal lives?

(N = 1,000)

Not at all

To a little extent

10%

To a moderate extent

25%

To a great extent

17%

To a very great extent

13%

My partner and I do not live together

I do not have a partner

25%

Demographic Crosstabs

Response	Male	Female	Other
Not at all	5%	7%	0%
To a little extent	7%	12%	0%
To a moderate extent	26%	23%	28%
To a great extent	19%	15%	0%
To a very great extent	13%	12%	33%
My partner and I do not live together	4%	7%	39%
I do not have a partner	25%	24%	0%

Response	White	Black	Hispanic	Other
Not at all	7%	4%	7%	2%
To a little extent	9%	6%	10%	15%
To a moderate extent	27%	22%	21%	23%
To a great extent	15%	21%	19%	17%
To a very great extent	13%	13%	13%	10%
My partner and I do not live together	5%	6%	6%	5%
I do not have a partner	23%	29%	24%	28%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Not at all	7%	7%	4%
To a little extent	11%	10%	8%
To a moderate extent	23%	25%	27%
To a great extent	16%	12%	21%
To a very great extent	9%	13%	17%
My partner and I do not live together	7%	5%	4%
I do not have a partner	27%	28%	20%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Not at all	8%	6%	3%	5%
To a little extent	8%	11%	10%	10%
To a moderate extent	17%	25%	33%	27%
To a great extent	15%	15%	17%	24%
To a very great extent	9%	12%	15%	19%
My partner and I do not live together	8%	7%	1%	2%
I do not have a partner	34%	25%	21%	11%

Response	Democrat	Independent	Republican
Not at all	4%	6%	8%
To a little extent	8%	10%	11%
To a moderate extent	21%	25%	27%
To a great extent	16%	16%	18%
To a very great extent	14%	11%	14%
My partner and I do not live together	8%	4%	5%
I do not have a partner	29%	27%	17%

Response	Northeast	Midwest	South	West
Not at all	4%	9%	5%	6%
To a little extent	8%	13%	8%	10%
To a moderate extent	28%	20%	27%	21%
To a great extent	13%	16%	20%	15%
To a very great extent	8%	14%	14%	14%
My partner and I do not live together	5%	6%	5%	5%
I do not have a partner	33%	22%	20%	29%

AI Tools for Life Planning

If you were to use AI tools to help design the life you would like to live, how would you use them? Please select all that apply.

select all that apply.

(N = 1,000)

I would not use AI tools for this purpose

35%

To compare options and support decision-making

30%

To generate ideas and explore possible futures

29%

To turn my goals into concrete plans and actions

26%

To improve or build on plans I have already developed

24%

To better understand my goals, values, and current situation

21%

Other

Demographic Crosstabs

Response	Male	Female	Other
I would not use AI tools for this purpose	33%	36%	67%
To compare options and support decision-making	31%	28%	0%
To generate ideas and explore possible futures	31%	28%	0%
To turn my goals into concrete plans and actions	26%	26%	0%
To improve or build on plans I have already developed	27%	22%	33%
To better understand my goals, values, and current situation	21%	21%	0%
Other	2%	2%	0%

Response	White	Black	Hispanic	Other
I would not use AI tools for this purpose	39%	27%	26%	36%
To compare options and support decision-making	32%	26%	26%	25%
To generate ideas and explore possible futures	31%	28%	29%	23%
To turn my goals into concrete plans and actions	22%	34%	36%	20%
To improve or build on plans I have already developed	23%	35%	27%	17%
To better understand my goals, values, and current situation	18%	30%	27%	16%
Other	1%	4%	1%	4%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
I would not use AI tools for this purpose	38%	30%	35%
To compare options and support decision-making	24%	31%	34%
To generate ideas and explore possible futures	26%	33%	30%
To turn my goals into concrete plans and actions	23%	32%	25%
To improve or build on plans I have already developed	19%	30%	26%
To better understand my goals, values, and current situation	22%	26%	16%
Other	2%	3%	1%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
I would not use AI tools for this purpose	42%	33%	35%	27%
To compare options and support decision-making	23%	29%	31%	40%
To generate ideas and explore possible futures	26%	29%	32%	33%
To turn my goals into concrete plans and actions	24%	27%	28%	25%
To improve or build on plans I have already developed	18%	25%	30%	29%
To better understand my goals, values, and current situation	20%	22%	19%	19%
Other	2%	2%	1%	2%

Response	Democrat	Independent	Republican
I would not use AI tools for this purpose	35%	37%	32%
To compare options and support decision-making	26%	30%	32%
To generate ideas and explore possible futures	29%	29%	30%
To turn my goals into concrete plans and actions	26%	26%	25%
To improve or build on plans I have already developed	24%	23%	27%
To better understand my goals, values, and current situation	22%	23%	16%
Other	0%	2%	3%

Response	Northeast	Midwest	South	West
I would not use AI tools for this purpose	38%	44%	31%	32%
To compare options and support decision-making	28%	29%	29%	32%
To generate ideas and explore possible futures	26%	29%	29%	33%
To turn my goals into concrete plans and actions	22%	19%	28%	31%
To improve or build on plans I have already developed	24%	18%	26%	28%
To better understand my goals, values, and current situation	19%	17%	21%	25%
Other	2%	2%	2%	1%

Gender Ascribed to AI Assistants

When you have conversations with generative AI (ChatGPT, Claude, Co-pilot, etc.), what gender do you ascribe to the Generative AI agent that replies to you?

(N = 1,000)

20%

25%

26%

MaleFemaleNon-binaryNo genderI do not use generative AI

Demographic Crosstabs

Response	Male	Female	Other
Male	32%	9%	0%
Female	13%	37%	0%
Non-binary	2%	4%	0%
No gender	28%	24%	33%
I do not use generative AI	25%	26%	67%

Running Into Coworkers Outside Work

Have you ever run into a coworker outside of work?

(N = 1,000)

84%

13%

YesNoI have never been employed

Demographic Crosstabs

Response	Male	Female	Other
Yes	88%	81%	39%
No	10%	16%	33%
I have never been employed	2%	3%	28%

Transferability of Job Skills

Think about the knowledge, skills, and abilities (i.e. Human Capital) you have gained in your current job (full time employment). Where would those skills be useful?

(N = 1,000)

Only at my current employer (they wouldn’t be much use at another company).

At other companies in my industry, but not outside it.

14%

In my type of work or occupation, at companies in any industry.

23%

Broadly useful in almost any job or industry.

27%

I haven’t gained skills that are especially useful anywhere.

I am not currently employed full-time.

29%

Demographic Crosstabs

Response	Male	Female	Other
Only at my current employer (they wouldn’t be much use at another company).	6%	4%	0%
At other companies in my industry, but not outside it.	16%	12%	0%
In my type of work or occupation, at companies in any industry.	26%	20%	0%
Broadly useful in almost any job or industry.	28%	26%	33%
I haven’t gained skills that are especially useful anywhere.	3%	3%	0%
I am not currently employed full-time.	22%	35%	67%

Response	White	Black	Hispanic	Other
Only at my current employer (they wouldn’t be much use at another company).	4%	5%	6%	5%
At other companies in my industry, but not outside it.	12%	13%	20%	15%
In my type of work or occupation, at companies in any industry.	23%	23%	22%	19%
Broadly useful in almost any job or industry.	27%	25%	25%	31%
I haven’t gained skills that are especially useful anywhere.	3%	5%	4%	2%
I am not currently employed full-time.	31%	29%	22%	27%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Only at my current employer (they wouldn’t be much use at another company).	5%	4%	5%
At other companies in my industry, but not outside it.	13%	14%	14%
In my type of work or occupation, at companies in any industry.	21%	20%	26%
Broadly useful in almost any job or industry.	20%	26%	35%
I haven’t gained skills that are especially useful anywhere.	4%	2%	3%
I am not currently employed full-time.	37%	34%	17%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Only at my current employer (they wouldn’t be much use at another company).	3%	7%	5%	2%
At other companies in my industry, but not outside it.	11%	16%	12%	17%
In my type of work or occupation, at companies in any industry.	16%	23%	20%	36%
Broadly useful in almost any job or industry.	21%	26%	36%	28%
I haven’t gained skills that are especially useful anywhere.	3%	3%	3%	3%
I am not currently employed full-time.	46%	25%	24%	14%

Response	Democrat	Independent	Republican
Only at my current employer (they wouldn’t be much use at another company).	6%	4%	5%
At other companies in my industry, but not outside it.	14%	12%	15%
In my type of work or occupation, at companies in any industry.	26%	19%	24%
Broadly useful in almost any job or industry.	27%	31%	21%
I haven’t gained skills that are especially useful anywhere.	3%	4%	3%
I am not currently employed full-time.	25%	30%	31%

Response	Northeast	Midwest	South	West
Only at my current employer (they wouldn’t be much use at another company).	7%	6%	3%	6%
At other companies in my industry, but not outside it.	19%	11%	14%	12%
In my type of work or occupation, at companies in any industry.	22%	23%	23%	22%
Broadly useful in almost any job or industry.	24%	26%	27%	30%
I haven’t gained skills that are especially useful anywhere.	2%	5%	4%	2%
I am not currently employed full-time.	26%	30%	29%	29%

AI Use for Message Tone

For your work, about how often do you use generative AI (tools like ChatGPT, Claude) to change the emotional tone of written messages? For example, to make an email sound nicer or more polite.

(N = 1,000)

Never

37%

Daily

13%

Weekly

13%

Monthly

Yearly

Not applicable (e.g., I am not currently working)

28%

Demographic Crosstabs

Response	Male	Female	Other
Never	39%	34%	39%
Daily	16%	10%	0%
Weekly	14%	13%	0%
Monthly	7%	8%	33%
Yearly	1%	2%	0%
Not applicable (e.g., I am not currently working)	23%	33%	28%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Never	35%	38%	37%
Daily	11%	10%	17%
Weekly	13%	13%	14%
Monthly	4%	8%	11%
Yearly	2%	1%	2%
Not applicable (e.g., I am not currently working)	36%	29%	19%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Never	37%	37%	34%	37%
Daily	7%	13%	16%	18%
Weekly	12%	15%	12%	15%
Monthly	3%	8%	10%	12%
Yearly	2%	0%	5%	2%
Not applicable (e.g., I am not currently working)	39%	27%	24%	16%

Q10

Empowerment by Leadership

To what extent do you agree or disagree with the following statement: I feel empowered by my leadership to make changes needed within my department (or team).

(N = 1,000)

14%

23%

19%

30%

Completely agreeSomewhat agreeNeither agree nor disagreeSomewhat disagreeCompletely disagreeI am not currently employed

Demographic Crosstabs

Response	Male	Female	Other
Completely agree	17%	11%	0%
Somewhat agree	27%	19%	39%
Neither agree nor disagree	16%	21%	0%
Somewhat disagree	8%	7%	0%
Completely disagree	7%	7%	33%
I am not currently employed	24%	36%	28%

Response	White	Black	Hispanic	Other
Completely agree	11%	20%	18%	14%
Somewhat agree	22%	25%	22%	25%
Neither agree nor disagree	15%	24%	26%	21%
Somewhat disagree	8%	1%	8%	8%
Completely disagree	8%	7%	6%	7%
I am not currently employed	36%	22%	21%	25%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Completely agree	10%	13%	19%
Somewhat agree	19%	20%	29%
Neither agree nor disagree	21%	21%	15%
Somewhat disagree	5%	5%	10%
Completely disagree	7%	7%	8%
I am not currently employed	38%	33%	20%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Completely agree	9%	14%	18%	18%
Somewhat agree	18%	22%	23%	34%
Neither agree nor disagree	23%	20%	11%	15%
Somewhat disagree	3%	7%	10%	12%
Completely disagree	7%	8%	9%	6%
I am not currently employed	40%	29%	29%	15%

Response	Democrat	Independent	Republican
Completely agree	20%	11%	11%
Somewhat agree	23%	21%	25%
Neither agree nor disagree	16%	23%	15%
Somewhat disagree	7%	8%	6%
Completely disagree	9%	8%	5%
I am not currently employed	25%	28%	38%

Response	Northeast	Midwest	South	West
Completely agree	10%	13%	17%	13%
Somewhat agree	22%	21%	20%	30%
Neither agree nor disagree	23%	18%	18%	16%
Somewhat disagree	9%	10%	5%	7%
Completely disagree	10%	7%	7%	5%
I am not currently employed	25%	31%	32%	30%

Q11

Alignment of Personal and Company Success

Does your definition of success align with your company or institution’s definition of success?

(N = 1,000)

45%

22%

33%

YesNoI am not currently employed

Demographic Crosstabs

Response	Male	Female	Other
Yes	49%	42%	39%
No	24%	20%	33%
I am not currently employed	27%	39%	28%

Q12

AI as a Threat to Humanity

Do you think AI is destroying humanity?

(N = 1,000)

49%

51%

YesNo

Demographic Crosstabs

Response	Male	Female	Other
Yes	44%	54%	67%
No	56%	46%	33%

Q13

Entrepreneurship Status

Are you, alone or with others, currently trying to start a new business, including any self-employment or selling any goods or services to others, or currently the owner-manager of a business that you help run?

(N = 1,000)

23%

77%

YesNo

Demographic Crosstabs

Response	Male	Female	Other
Yes	25%	21%	0%
No	75%	79%	100%

Q14

Key Driver of Organizational Success

Which factor has the greatest impact on organizational success?

(N = 1,000)

10%

38%

35%

13%

The marketplaceGovernment regulationsLeadershipEmployeesI'm not sure / I don't know

Demographic Crosstabs

Response	Male	Female	Other
The marketplace	12%	9%	33%
Government regulations	3%	3%	0%
Leadership	38%	39%	39%
Employees	38%	31%	28%
I'm not sure / I don't know	9%	17%	0%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
The marketplace	11%	10%	10%
Government regulations	4%	4%	2%
Leadership	30%	44%	43%
Employees	33%	31%	39%
I'm not sure / I don't know	22%	12%	5%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
The marketplace	10%	11%	9%	10%
Government regulations	4%	2%	5%	3%
Leadership	33%	38%	46%	41%
Employees	29%	36%	34%	42%
I'm not sure / I don't know	24%	13%	6%	4%

Q15

Accent Concerns and Career Choices

To what extent do you agree or disagree with the following statement: Concerns about language or accent have influenced how I think about my career options.

(N = 1,000)

42%

13%

32%

10%

Strongly disagreeSomewhat disagreeNeither disagree nor agreeSomewhat agreeStrongly agree

Demographic Crosstabs

Response	Male	Female	Other
Strongly disagree	47%	38%	0%
Somewhat disagree	14%	12%	28%
Neither disagree nor agree	26%	38%	0%
Somewhat agree	10%	10%	72%
Strongly agree	3%	3%	0%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Strongly disagree	34%	40%	51%
Somewhat disagree	16%	13%	11%
Neither disagree nor agree	36%	39%	23%
Somewhat agree	11%	8%	11%
Strongly agree	3%	1%	5%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Strongly disagree	34%	40%	51%	49%
Somewhat disagree	13%	13%	18%	7%
Neither disagree nor agree	40%	32%	23%	28%
Somewhat agree	10%	12%	7%	8%
Strongly agree	3%	2%	1%	7%

Q16

Favorability Toward Employees' Side Jobs

If you were supervising employees, how favorable would you be toward your subordinates holding another job (e.g. a side hustle, gig work, or personal business)?

(N = 1,000)

49%

19%

21%

Very unfavorableSlightly unfavorableNeutralSlightly favorableVery favorable

Demographic Crosstabs

Response	Male	Female	Other
Very unfavorable	1%	4%	0%
Slightly unfavorable	9%	7%	0%
Neutral	47%	51%	28%
Slightly favorable	19%	19%	39%
Very favorable	23%	20%	33%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Very unfavorable	3%	2%	2%
Slightly unfavorable	6%	10%	9%
Neutral	50%	49%	49%
Slightly favorable	18%	15%	23%
Very favorable	23%	24%	18%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Very unfavorable	4%	2%	3%	1%
Slightly unfavorable	6%	8%	10%	11%
Neutral	48%	52%	46%	47%
Slightly favorable	17%	17%	23%	24%
Very favorable	26%	22%	18%	17%

Q17

Expectations of Husbands in Marriage

In modern American marriage, the husband should... (Please select all that apply)

select all that apply)

(N = 1,000)

... do his best to provide for his wife and children

70%

...support his wife in her career

65%

...frequently express and discuss his emotional feelings

51%

...do half the housework and childcare, regardless whether the wife has a job

47%

...expect to have sex at least once a week

17%

...establish and maintain his authority over his wife

...work with other men to keep women in their place

None of the above

Demographic Crosstabs

Response	Male	Female	Other
... do his best to provide for his wife and children	71%	69%	0%
...support his wife in her career	65%	65%	72%
...frequently express and discuss his emotional feelings	48%	53%	72%
...do half the housework and childcare, regardless whether the wife has a job	52%	43%	0%
...expect to have sex at least once a week	21%	13%	0%
...establish and maintain his authority over his wife	8%	7%	0%
...work with other men to keep women in their place	5%	4%	0%
None of the above	5%	5%	28%

Response	White	Black	Hispanic	Other
... do his best to provide for his wife and children	72%	69%	67%	65%
...support his wife in her career	67%	55%	64%	63%
...frequently express and discuss his emotional feelings	52%	53%	50%	48%
...do half the housework and childcare, regardless whether the wife has a job	47%	48%	47%	49%
...expect to have sex at least once a week	14%	25%	21%	16%
...establish and maintain his authority over his wife	5%	12%	11%	9%
...work with other men to keep women in their place	4%	10%	6%	0%
None of the above	4%	7%	7%	5%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
... do his best to provide for his wife and children	71%	70%	69%
...support his wife in her career	59%	66%	70%
...frequently express and discuss his emotional feelings	47%	48%	57%
...do half the housework and childcare, regardless whether the wife has a job	46%	44%	52%
...expect to have sex at least once a week	19%	17%	14%
...establish and maintain his authority over his wife	8%	7%	7%
...work with other men to keep women in their place	7%	5%	2%
None of the above	6%	5%	4%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
... do his best to provide for his wife and children	71%	68%	65%	78%
...support his wife in her career	61%	62%	72%	72%
...frequently express and discuss his emotional feelings	49%	48%	57%	56%
...do half the housework and childcare, regardless whether the wife has a job	50%	43%	54%	48%
...expect to have sex at least once a week	21%	14%	16%	17%
...establish and maintain his authority over his wife	8%	9%	3%	6%
...work with other men to keep women in their place	7%	5%	2%	1%
None of the above	6%	5%	5%	2%

Response	Democrat	Independent	Republican
... do his best to provide for his wife and children	61%	72%	75%
...support his wife in her career	73%	62%	62%
...frequently express and discuss his emotional feelings	57%	52%	44%
...do half the housework and childcare, regardless whether the wife has a job	55%	43%	46%
...expect to have sex at least once a week	17%	16%	18%
...establish and maintain his authority over his wife	7%	6%	10%
...work with other men to keep women in their place	3%	4%	6%
None of the above	5%	5%	5%

Response	Northeast	Midwest	South	West
... do his best to provide for his wife and children	68%	68%	72%	69%
...support his wife in her career	68%	67%	63%	64%
...frequently express and discuss his emotional feelings	58%	50%	49%	51%
...do half the housework and childcare, regardless whether the wife has a job	56%	44%	45%	46%
...expect to have sex at least once a week	17%	15%	19%	14%
...establish and maintain his authority over his wife	8%	5%	9%	7%
...work with other men to keep women in their place	4%	3%	6%	3%
None of the above	5%	4%	4%	7%

Q18

Work-Family Balance Effectiveness with Partner

Overall, how effective are you and the romantic partner you live with at balancing your day-to-day work and family responsibilities?

(N = 1,000)

Not at all effective

Slightly effective

Moderately effective

18%

Very effective

27%

Extremely effective

17%

My partner and I do not live together

I do not have a partner

24%

Demographic Crosstabs

Response	Male	Female	Other
Not at all effective	2%	3%	0%
Slightly effective	3%	5%	0%
Moderately effective	18%	18%	33%
Very effective	28%	27%	0%
Extremely effective	19%	16%	28%
My partner and I do not live together	5%	8%	39%
I do not have a partner	25%	24%	0%

Response	White	Black	Hispanic	Other
Not at all effective	2%	1%	3%	1%
Slightly effective	5%	2%	1%	7%
Moderately effective	19%	16%	16%	24%
Very effective	28%	29%	28%	22%
Extremely effective	17%	16%	20%	11%
My partner and I do not live together	5%	10%	9%	7%
I do not have a partner	24%	27%	23%	28%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Not at all effective	4%	2%	1%
Slightly effective	3%	3%	5%
Moderately effective	16%	18%	21%
Very effective	25%	27%	31%
Extremely effective	17%	16%	18%
My partner and I do not live together	9%	6%	4%
I do not have a partner	26%	28%	20%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Not at all effective	4%	2%	3%	0%
Slightly effective	3%	4%	4%	5%
Moderately effective	14%	17%	22%	24%
Very effective	19%	27%	34%	36%
Extremely effective	15%	17%	17%	21%
My partner and I do not live together	9%	8%	1%	3%
I do not have a partner	36%	24%	20%	10%

Response	Democrat	Independent	Republican
Not at all effective	1%	3%	2%
Slightly effective	3%	4%	4%
Moderately effective	19%	19%	17%
Very effective	24%	25%	33%
Extremely effective	15%	15%	22%
My partner and I do not live together	8%	6%	6%
I do not have a partner	29%	27%	16%

Response	Northeast	Midwest	South	West
Not at all effective	2%	3%	1%	4%
Slightly effective	5%	3%	4%	3%
Moderately effective	17%	22%	19%	15%
Very effective	26%	24%	30%	28%
Extremely effective	12%	21%	19%	14%
My partner and I do not live together	3%	6%	7%	7%
I do not have a partner	35%	21%	20%	28%

Q19

Open Innovation vs In-House Preference

Imagine you are about to buy your new smartphone. You shortlisted two roughly equivalent models with the same price (A and B). The producer of model A states “Proudly developed through Open Innovation”. The producer of model B states “Proudly developed 100% in our labs”. Based on these statements which one would you choose?

(N = 1,000)

16%

24%

20%

35%

Definitely AProbably AProbably BDefinitely BNot sure

Demographic Crosstabs

Response	Male	Female	Other
Definitely A	15%	16%	0%
Probably A	23%	25%	39%
Probably B	20%	20%	0%
Definitely B	7%	3%	0%
Not sure	34%	36%	61%

Q20

Helping Coworkers Despite Political Disagreement

When you overhear a coworker expressing political views you strongly disagree with, does it change the extent to which you are willing to go out of your way to voluntarily help them (e.g., carve out time to listen to them, provide advise, or troubleshoot an issue with a work task)?

(N = 1,000)

1 - Not at all

26%

11%

16%

6 - Very much

I do not work with coworkers or do not work

20%

Demographic Crosstabs

Response	Male	Female	Other
1 - Not at all	25%	27%	33%
2	12%	9%	0%
3	11%	12%	0%
4	16%	17%	39%
5	10%	6%	0%
6 - Very much	9%	5%	0%
I do not work with coworkers or do not work	17%	24%	28%

Response	White	Black	Hispanic	Other
1 - Not at all	27%	19%	34%	15%
2	12%	3%	11%	13%
3	11%	14%	11%	10%
4	13%	25%	16%	24%
5	7%	8%	9%	10%
6 - Very much	6%	9%	8%	9%
I do not work with coworkers or do not work	23%	22%	11%	19%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
1 - Not at all	28%	27%	24%
2	6%	12%	15%
3	10%	12%	12%
4	14%	17%	17%
5	6%	7%	11%
6 - Very much	8%	6%	7%
I do not work with coworkers or do not work	27%	19%	14%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
1 - Not at all	26%	26%	28%	25%
2	8%	9%	14%	17%
3	9%	12%	13%	11%
4	16%	16%	15%	18%
5	4%	8%	9%	15%
6 - Very much	6%	8%	7%	7%
I do not work with coworkers or do not work	30%	20%	15%	8%

Response	Northeast	Midwest	South	West
1 - Not at all	28%	24%	27%	25%
2	13%	12%	9%	11%
3	10%	13%	11%	11%
4	13%	15%	18%	17%
5	7%	7%	9%	9%
6 - Very much	10%	6%	6%	7%
I do not work with coworkers or do not work	19%	23%	20%	19%

Q21

Trust in Single vs Multi-Disciplinary Experts

If you were watching national news, which kind of expert would you trust more? For purposes of the question, please assume that the expert is 55 years old.

(N = 1,000)

A person with one disciplinary area of expertise

28%

A person with two disciplinary areas of expertise

72%

Demographic Crosstabs

Response	Male	Female	Other
A person with one disciplinary area of expertise	28%	28%	61%
A person with two disciplinary areas of expertise	72%	72%	39%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
A person with one disciplinary area of expertise	28%	27%	29%
A person with two disciplinary areas of expertise	72%	73%	71%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
A person with one disciplinary area of expertise	31%	26%	30%	26%
A person with two disciplinary areas of expertise	69%	74%	70%	74%

Q22

AI Reliance Beyond Personal Expertise

When using generative AI tools such as ChatGPT, Microsoft Copilot, Gemini, or Claude for work-related tasks, how often do you rely on AI-generated output for tasks where you do not have enough expertise to confidently judge whether the output is accurate or appropriate?

(N = 1,000)

Never

Rarely

12%

Sometimes

21%

Often

Very Often

I am not currently employed

23%

I do not use generative AI for work-related tasks

22%

Demographic Crosstabs

Response	Male	Female	Other
Never	11%	8%	0%
Rarely	10%	13%	0%
Sometimes	22%	20%	33%
Often	11%	7%	0%
Very Often	5%	3%	0%
I am not currently employed	19%	27%	0%
I do not use generative AI for work-related tasks	21%	23%	67%

Response	White	Black	Hispanic	Other
Never	10%	7%	10%	7%
Rarely	13%	12%	11%	7%
Sometimes	20%	17%	25%	24%
Often	7%	15%	13%	9%
Very Often	2%	10%	4%	5%
I am not currently employed	28%	17%	14%	19%
I do not use generative AI for work-related tasks	21%	22%	22%	29%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Never	7%	12%	10%
Rarely	10%	9%	16%
Sometimes	21%	20%	22%
Often	10%	7%	10%
Very Often	4%	3%	4%
I am not currently employed	26%	30%	15%
I do not use generative AI for work-related tasks	23%	19%	23%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Never	10%	8%	11%	11%
Rarely	9%	12%	12%	16%
Sometimes	17%	21%	19%	30%
Often	7%	10%	9%	10%
Very Often	2%	4%	6%	3%
I am not currently employed	32%	22%	22%	12%
I do not use generative AI for work-related tasks	22%	24%	21%	18%

Response	Democrat	Independent	Republican
Never	8%	10%	9%
Rarely	11%	14%	10%
Sometimes	23%	21%	18%
Often	9%	7%	12%
Very Often	4%	3%	5%
I am not currently employed	20%	21%	29%
I do not use generative AI for work-related tasks	25%	24%	16%

Response	Northeast	Midwest	South	West
Never	11%	14%	6%	10%
Rarely	13%	9%	14%	9%
Sometimes	25%	18%	19%	23%
Often	7%	6%	12%	9%
Very Often	1%	4%	6%	2%
I am not currently employed	18%	26%	23%	24%
I do not use generative AI for work-related tasks	25%	23%	20%	22%

Q23

AI Reliance for Judgment-Based Tasks

When using generative AI tools for work-related tasks, how often do you rely on AI-generated output for tasks that require original thinking, judgment, synthesis, or contextual interpretation?

(N = 1,000)

Never

10%

Rarely

14%

Sometimes

18%

Often

Very often

I am not currently employed

26%

I do not use generative AI for work-related tasks

22%

Demographic Crosstabs

Response	Male	Female	Other
Never	13%	7%	0%
Rarely	15%	15%	0%
Sometimes	18%	18%	33%
Often	9%	4%	0%
Very often	4%	3%	0%
I am not currently employed	20%	31%	0%
I do not use generative AI for work-related tasks	21%	22%	67%

Response	White	Black	Hispanic	Other
Never	10%	5%	13%	9%
Rarely	15%	16%	12%	15%
Sometimes	16%	22%	24%	16%
Often	6%	7%	8%	6%
Very often	2%	10%	3%	4%
I am not currently employed	30%	18%	17%	21%
I do not use generative AI for work-related tasks	21%	22%	22%	28%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Never	9%	11%	10%
Rarely	11%	12%	20%
Sometimes	19%	20%	16%
Often	6%	5%	8%
Very often	3%	3%	5%
I am not currently employed	31%	31%	17%
I do not use generative AI for work-related tasks	23%	19%	24%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Never	10%	9%	8%	13%
Rarely	10%	14%	14%	23%
Sometimes	16%	20%	17%	19%
Often	5%	6%	10%	7%
Very often	2%	4%	6%	4%
I am not currently employed	34%	25%	24%	14%
I do not use generative AI for work-related tasks	23%	22%	22%	20%

Response	Democrat	Independent	Republican
Never	11%	10%	9%
Rarely	15%	16%	12%
Sometimes	18%	18%	18%
Often	6%	6%	7%
Very often	4%	2%	5%
I am not currently employed	23%	22%	33%
I do not use generative AI for work-related tasks	23%	25%	17%

Response	Northeast	Midwest	South	West
Never	13%	11%	7%	10%
Rarely	15%	13%	16%	13%
Sometimes	18%	14%	19%	19%
Often	6%	6%	6%	8%
Very often	0%	3%	6%	3%
I am not currently employed	21%	27%	27%	26%
I do not use generative AI for work-related tasks	27%	26%	19%	20%

Q24

Support for Nearby Small Modular Reactor

If a Small Modular Reactor (SMR)* were proposed to be constructed within a 2 mile radius of your home, how would you describe your level of support for the project? *Small modular reactors (SMRs) are advanced nuclear reactors that have a power capacity of up to 300 MW(e) per unit, which is about one-third of the generating capacity of traditional nuclear power reactors.

(N = 1,000)

16%

28%

17%

32%

Strongly supportSomewhat supportNeutralSomewhat opposeStrongly oppose

Demographic Crosstabs

Response	Male	Female	Other
Strongly support	13%	3%	39%
Somewhat support	22%	10%	33%
Neutral	27%	29%	28%
Somewhat oppose	17%	16%	0%
Strongly oppose	21%	41%	0%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Strongly support	5%	9%	10%
Somewhat support	15%	14%	17%
Neutral	36%	26%	23%
Somewhat oppose	12%	16%	21%
Strongly oppose	32%	35%	29%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Strongly support	8%	8%	9%	8%
Somewhat support	14%	14%	20%	19%
Neutral	36%	27%	22%	25%
Somewhat oppose	12%	17%	23%	19%
Strongly oppose	30%	35%	26%	30%

Q25

Positive-Negative-Positive Feedback Frequency

At your workplace over the past month, how often have you given OR received feedback that is structured in a positive-negative-positive sequence (i.e., feedback began with positive feedback, then negative feedback, and ended with positive feedback)?

(N = 1,000)

24%

12%

34%

Never1-3 times4-6 times7-9 times10-12 times13 or more timesI am not currently employed

Demographic Crosstabs

Response	Male	Female	Other
Never	26%	22%	33%
1-3 times	24%	24%	0%
4-6 times	15%	10%	28%
7-9 times	5%	3%	39%
10-12 times	1%	1%	0%
13 or more times	2%	1%	0%
I am not currently employed	28%	39%	0%

Response	White	Black	Hispanic	Other
Never	24%	19%	28%	21%
1-3 times	22%	27%	26%	25%
4-6 times	10%	18%	12%	20%
7-9 times	4%	8%	3%	6%
10-12 times	1%	0%	0%	0%
13 or more times	1%	3%	2%	2%
I am not currently employed	39%	26%	28%	25%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Never	22%	20%	29%
1-3 times	17%	23%	31%
4-6 times	14%	12%	12%
7-9 times	3%	6%	5%
10-12 times	1%	1%	1%
13 or more times	2%	0%	2%
I am not currently employed	43%	38%	21%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Never	19%	25%	23%	29%
1-3 times	20%	22%	27%	32%
4-6 times	11%	12%	11%	17%
7-9 times	4%	5%	5%	4%
10-12 times	1%	0%	1%	1%
13 or more times	1%	1%	1%	2%
I am not currently employed	44%	34%	32%	15%

Response	Democrat	Independent	Republican
Never	23%	25%	23%
1-3 times	27%	26%	18%
4-6 times	13%	12%	13%
7-9 times	3%	6%	3%
10-12 times	1%	0%	1%
13 or more times	2%	1%	1%
I am not currently employed	30%	30%	42%

Response	Northeast	Midwest	South	West
Never	34%	25%	22%	19%
1-3 times	24%	25%	22%	26%
4-6 times	10%	9%	13%	16%
7-9 times	2%	3%	6%	4%
10-12 times	1%	1%	1%	1%
13 or more times	1%	1%	2%	1%
I am not currently employed	28%	37%	34%	34%

Q26

Perceived Job Significance

To what extent do you agree or disagree with the following statement: If nobody in my job/occupation showed up for work one day, it would not really matter to the world.

(N = 1,000)

20%

17%

13%

29%

Strongly disagreeDisagreeNeither agree nor disagreeAgreeStrongly agreeI am not currently employed

Demographic Crosstabs

Response	Male	Female	Other
Strongly disagree	22%	19%	0%
Disagree	17%	16%	39%
Neither agree nor disagree	11%	14%	0%
Agree	17%	10%	28%
Strongly agree	10%	6%	33%
I am not currently employed	23%	34%	0%

Response	White	Black	Hispanic	Other
Strongly disagree	21%	16%	21%	19%
Disagree	16%	19%	20%	12%
Neither agree nor disagree	9%	15%	18%	21%
Agree	13%	16%	12%	16%
Strongly agree	7%	15%	6%	9%
I am not currently employed	34%	20%	22%	23%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Strongly disagree	15%	20%	26%
Disagree	16%	16%	17%
Neither agree nor disagree	15%	11%	12%
Agree	11%	15%	16%
Strongly agree	8%	5%	10%
I am not currently employed	36%	33%	19%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Strongly disagree	14%	21%	23%	28%
Disagree	16%	16%	15%	22%
Neither agree nor disagree	13%	15%	12%	8%
Agree	11%	12%	15%	20%
Strongly agree	7%	8%	8%	9%
I am not currently employed	39%	28%	27%	13%

Response	Democrat	Independent	Republican
Strongly disagree	24%	22%	15%
Disagree	17%	19%	13%
Neither agree nor disagree	10%	17%	11%
Agree	13%	11%	17%
Strongly agree	10%	5%	9%
I am not currently employed	26%	26%	35%

Response	Northeast	Midwest	South	West
Strongly disagree	26%	24%	15%	22%
Disagree	19%	16%	17%	15%
Neither agree nor disagree	11%	10%	16%	13%
Agree	14%	12%	14%	13%
Strongly agree	6%	9%	9%	8%
I am not currently employed	23%	30%	30%	30%

Q27

Happiness at Work vs Outside Work

To what extent do you agree or disagree with the following statement: I am generally happier when at work than when not at work.

(N = 1,000)

14%

19%

23%

11%

30%

Strongly disagreeDisagreeNeither agree nor disagreeAgreeStrongly agreeI am not currently employed

Demographic Crosstabs

Response	Male	Female	Other
Strongly disagree	15%	12%	33%
Disagree	19%	19%	0%
Neither agree nor disagree	25%	22%	28%
Agree	12%	9%	39%
Strongly agree	5%	3%	0%
I am not currently employed	25%	34%	0%

Response	White	Black	Hispanic	Other
Strongly disagree	11%	18%	16%	20%
Disagree	20%	14%	21%	17%
Neither agree nor disagree	22%	26%	23%	25%
Agree	9%	15%	10%	13%
Strongly agree	2%	6%	8%	3%
I am not currently employed	35%	21%	22%	22%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Strongly disagree	11%	16%	15%
Disagree	15%	13%	26%
Neither agree nor disagree	22%	27%	22%
Agree	9%	10%	12%
Strongly agree	4%	2%	5%
I am not currently employed	38%	32%	19%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Strongly disagree	11%	14%	19%	15%
Disagree	16%	17%	20%	27%
Neither agree nor disagree	22%	22%	20%	30%
Agree	7%	12%	11%	12%
Strongly agree	4%	5%	3%	2%
I am not currently employed	40%	30%	26%	14%

Response	Democrat	Independent	Republican
Strongly disagree	17%	16%	8%
Disagree	21%	18%	17%
Neither agree nor disagree	21%	28%	19%
Agree	9%	10%	14%
Strongly agree	6%	2%	4%
I am not currently employed	26%	26%	37%

Response	Northeast	Midwest	South	West
Strongly disagree	16%	15%	13%	12%
Disagree	23%	21%	17%	17%
Neither agree nor disagree	24%	21%	23%	24%
Agree	8%	8%	12%	13%
Strongly agree	4%	2%	4%	5%
I am not currently employed	25%	33%	30%	30%

Q28

Familiarity with Makerspaces

How familiar are you with makerspaces?

(N = 1,000)

Never heard of them

69%

Have heard of them, but not visited

20%

Visited one

Have used the facilities of one

Am an active member of one

Demographic Crosstabs

Response	Male	Female	Other
Never heard of them	65%	74%	28%
Have heard of them, but not visited	23%	18%	0%
Visited one	7%	5%	33%
Have used the facilities of one	4%	3%	39%
Am an active member of one	1%	1%	0%

Response	White	Black	Hispanic	Other
Never heard of them	73%	65%	64%	66%
Have heard of them, but not visited	18%	24%	24%	23%
Visited one	5%	4%	7%	8%
Have used the facilities of one	4%	2%	4%	3%
Am an active member of one	0%	5%	0%	1%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Never heard of them	75%	73%	61%
Have heard of them, but not visited	15%	19%	26%
Visited one	6%	6%	5%
Have used the facilities of one	2%	2%	7%
Am an active member of one	2%	0%	0%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Never heard of them	79%	67%	64%	65%
Have heard of them, but not visited	13%	23%	24%	22%
Visited one	6%	6%	6%	4%
Have used the facilities of one	1%	3%	6%	8%
Am an active member of one	2%	1%	0%	1%

Response	Democrat	Independent	Republican
Never heard of them	57%	71%	79%
Have heard of them, but not visited	28%	19%	14%
Visited one	7%	6%	4%
Have used the facilities of one	7%	3%	2%
Am an active member of one	1%	1%	1%

Response	Northeast	Midwest	South	West
Never heard of them	72%	72%	69%	66%
Have heard of them, but not visited	20%	19%	21%	21%
Visited one	3%	5%	7%	6%
Have used the facilities of one	4%	3%	3%	5%
Am an active member of one	1%	1%	1%	1%

Q29

Attitudes Toward Bragging

Please indicate how much you agree or disagree with the following statement: “Bragging reflects poorly on a person.”

(N = 1,000)

21%

46%

25%

Strongly disagreeDisagreeNeither disagree nor agreeAgreeStrongly agree

Demographic Crosstabs

Response	Male	Female	Other
Strongly disagree	1%	1%	0%
Disagree	7%	6%	0%
Neither disagree nor agree	20%	23%	0%
Agree	46%	45%	72%
Strongly agree	25%	25%	28%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Strongly disagree	1%	1%	2%	1%
Disagree	8%	8%	4%	4%
Neither disagree nor agree	24%	21%	19%	20%
Agree	41%	46%	54%	45%
Strongly agree	26%	24%	21%	30%

Q30

Weighing Costs of Workplace Misbehavior

To what extent do you agree or disagree with the following statement: At work, I consider the costs and benefits before I engage in behaviors such as gossiping, stealing, arriving late, putting little effort, and inappropriate verbal and physical actions.

(N = 1,000)

Strongly disagree

Disagree

Neither agree nor disagree

12%

Agree

22%

Strongly agree

30%

Not applicable / I am not currently employed

29%

Demographic Crosstabs

Response	Male	Female	Other
Strongly disagree	4%	4%	0%
Disagree	6%	2%	0%
Neither agree nor disagree	13%	12%	39%
Agree	23%	21%	33%
Strongly agree	32%	27%	0%
Not applicable / I am not currently employed	23%	35%	28%

Response	White	Black	Hispanic	Other
Strongly disagree	3%	5%	6%	3%
Disagree	5%	2%	2%	2%
Neither agree nor disagree	10%	20%	14%	12%
Agree	21%	21%	22%	24%
Strongly agree	26%	32%	37%	36%
Not applicable / I am not currently employed	35%	19%	19%	23%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Strongly disagree	5%	3%	4%
Disagree	3%	4%	5%
Neither agree nor disagree	14%	14%	9%
Agree	21%	17%	26%
Strongly agree	24%	28%	37%
Not applicable / I am not currently employed	34%	35%	20%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Strongly disagree	5%	3%	5%	4%
Disagree	2%	4%	5%	5%
Neither agree nor disagree	13%	14%	10%	8%
Agree	15%	20%	28%	32%
Strongly agree	27%	31%	24%	37%
Not applicable / I am not currently employed	38%	29%	28%	14%

Response	Democrat	Independent	Republican
Strongly disagree	4%	5%	2%
Disagree	2%	4%	5%
Neither agree nor disagree	10%	15%	10%
Agree	27%	23%	16%
Strongly agree	31%	29%	30%
Not applicable / I am not currently employed	26%	25%	37%

Response	Northeast	Midwest	South	West
Strongly disagree	6%	2%	4%	4%
Disagree	5%	5%	4%	0%
Neither agree nor disagree	14%	10%	12%	12%
Agree	26%	20%	20%	23%
Strongly agree	24%	29%	31%	32%
Not applicable / I am not currently employed	26%	33%	28%	28%

Q31

Politics Required in Today's Workplace

To what extent do you agree or disagree with the following statement: To succeed in today’s workplace, employees must be willing to engage in organizational politics.

(N = 1,000)

10%

19%

25%

26%

12%

Strongly disagreeDisagreeNeither agree nor disagreeAgreeStrongly agreeNot applicable

Demographic Crosstabs

Response	Male	Female	Other
Strongly disagree	9%	11%	0%
Disagree	17%	20%	0%
Neither agree nor disagree	26%	24%	39%
Agree	29%	25%	0%
Strongly agree	10%	5%	33%
Not applicable	9%	15%	28%

Response	White	Black	Hispanic	Other
Strongly disagree	10%	10%	12%	9%
Disagree	21%	16%	19%	10%
Neither agree nor disagree	21%	33%	31%	29%
Agree	28%	22%	21%	33%
Strongly agree	6%	9%	7%	11%
Not applicable	14%	10%	8%	7%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Strongly disagree	12%	13%	7%
Disagree	19%	23%	15%
Neither agree nor disagree	30%	25%	20%
Agree	19%	21%	38%
Strongly agree	4%	3%	14%
Not applicable	16%	15%	6%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Strongly disagree	13%	12%	6%	3%
Disagree	19%	19%	21%	14%
Neither agree nor disagree	27%	27%	19%	25%
Agree	20%	23%	32%	40%
Strongly agree	4%	7%	10%	11%
Not applicable	16%	11%	11%	7%

Response	Northeast	Midwest	South	West
Strongly disagree	8%	10%	10%	12%
Disagree	14%	27%	18%	14%
Neither agree nor disagree	26%	19%	25%	32%
Agree	33%	26%	24%	27%
Strongly agree	9%	5%	10%	5%
Not applicable	10%	13%	14%	10%

Q32

Politics Required Across Organizations

To what extent do you agree or disagree with the following statement: Career success in most organizations requires engaging in organizational politics.

(N = 1,000)

15%

27%

31%

10%

11%

Strongly disagreeDisagreeNeither agree or disagreeAgreeStrongly agreeNot applicable

Demographic Crosstabs

Response	Male	Female	Other
Strongly disagree	6%	8%	0%
Disagree	14%	16%	0%
Neither agree or disagree	26%	27%	39%
Agree	33%	28%	0%
Strongly agree	13%	7%	33%
Not applicable	7%	14%	28%

Response	White	Black	Hispanic	Other
Strongly disagree	8%	5%	9%	4%
Disagree	15%	12%	17%	11%
Neither agree or disagree	24%	34%	31%	28%
Agree	32%	26%	28%	32%
Strongly agree	8%	12%	7%	18%
Not applicable	13%	10%	8%	5%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Strongly disagree	9%	8%	4%
Disagree	17%	17%	11%
Neither agree or disagree	33%	30%	19%
Agree	21%	26%	44%
Strongly agree	6%	5%	17%
Not applicable	14%	14%	5%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Strongly disagree	10%	9%	5%	1%
Disagree	16%	13%	21%	10%
Neither agree or disagree	31%	31%	14%	22%
Agree	22%	26%	40%	50%
Strongly agree	6%	11%	12%	12%
Not applicable	16%	10%	8%	6%

Response	Northeast	Midwest	South	West
Strongly disagree	5%	5%	8%	9%
Disagree	10%	21%	15%	13%
Neither agree or disagree	25%	27%	24%	33%
Agree	41%	28%	28%	30%
Strongly agree	11%	7%	13%	7%
Not applicable	8%	12%	12%	9%

Q33

Neurodivergent Effort in Workplace Politics

If you identify as neurodivergent (e.g., autism, ADHD, dyslexia), how much more effort does engaging in workplace politics require compared with your coworkers?

(N = 1,000)

Much less effort

Less effort

About the same

12%

More effort

14%

Much more effort

I do not identify as neurodivergent

38%

Not applicable / I am not currently employed

27%

Demographic Crosstabs

Response	Male	Female	Other
Much less effort	2%	0%	0%
Less effort	1%	1%	0%
About the same	15%	10%	0%
More effort	14%	13%	39%
Much more effort	7%	7%	61%
I do not identify as neurodivergent	39%	36%	0%
Not applicable / I am not currently employed	22%	33%	0%

Response	White	Black	Hispanic	Other
Much less effort	1%	0%	1%	2%
Less effort	1%	1%	1%	3%
About the same	9%	19%	19%	12%
More effort	14%	13%	15%	12%
Much more effort	5%	12%	8%	8%
I do not identify as neurodivergent	38%	31%	35%	43%
Not applicable / I am not currently employed	32%	24%	21%	19%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Much less effort	1%	1%	1%
Less effort	1%	2%	1%
About the same	16%	12%	9%
More effort	12%	13%	16%
Much more effort	6%	8%	8%
I do not identify as neurodivergent	30%	36%	46%
Not applicable / I am not currently employed	34%	29%	19%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Much less effort	0%	1%	1%	1%
Less effort	2%	1%	0%	1%
About the same	8%	16%	11%	11%
More effort	13%	13%	16%	16%
Much more effort	7%	8%	8%	5%
I do not identify as neurodivergent	32%	35%	39%	52%
Not applicable / I am not currently employed	37%	26%	26%	14%

Response	Democrat	Independent	Republican
Much less effort	1%	1%	1%
Less effort	0%	2%	1%
About the same	11%	13%	12%
More effort	14%	15%	12%
Much more effort	9%	7%	6%
I do not identify as neurodivergent	42%	37%	34%
Not applicable / I am not currently employed	23%	26%	33%

Response	Northeast	Midwest	South	West
Much less effort	1%	1%	1%	1%
Less effort	2%	2%	1%	1%
About the same	9%	10%	13%	15%
More effort	13%	10%	17%	13%
Much more effort	8%	6%	7%	7%
I do not identify as neurodivergent	46%	40%	33%	37%
Not applicable / I am not currently employed	22%	32%	28%	26%

Q34

Quality Time Spent with Partner

Overall, how much quality time do you and the romantic partner you live with spend together (e.g., relaxing, doing enjoyable activities, or having fun together)?

(N = 1,000)

Not at all

A little

Moderate

20%

Much

19%

Very much

20%

My partner and I do not live together

I do not have a partner

25%

Demographic Crosstabs

Response	Male	Female	Other
Not at all	1%	2%	0%
A little	7%	12%	0%
Moderate	21%	19%	0%
Much	21%	16%	33%
Very much	20%	19%	28%
My partner and I do not live together	4%	7%	39%
I do not have a partner	25%	24%	0%

Response	White	Black	Hispanic	Other
Not at all	2%	0%	2%	0%
A little	11%	4%	11%	6%
Moderate	19%	22%	22%	23%
Much	17%	21%	18%	24%
Very much	22%	18%	19%	10%
My partner and I do not live together	5%	7%	4%	9%
I do not have a partner	24%	28%	23%	29%

Response	HS or less	Some college/2-yr degree	4-yr/post-graduate degree
Not at all	3%	1%	1%
A little	8%	13%	8%
Moderate	17%	17%	26%
Much	18%	18%	20%
Very much	20%	18%	21%
My partner and I do not live together	7%	5%	4%
I do not have a partner	27%	28%	20%

Response	< $50,000	$50,000-$99,999	$100,000-$149,999	> $150,000
Not at all	2%	1%	2%	1%
A little	10%	7%	11%	13%
Moderate	15%	22%	21%	25%
Much	13%	20%	18%	25%
Very much	18%	18%	23%	23%
My partner and I do not live together	8%	7%	3%	2%
I do not have a partner	35%	25%	21%	11%

Response	Democrat	Independent	Republican
Not at all	1%	2%	1%
A little	8%	9%	12%
Moderate	15%	25%	19%
Much	19%	17%	20%
Very much	20%	15%	26%
My partner and I do not live together	7%	5%	5%
I do not have a partner	29%	27%	17%

Response	Northeast	Midwest	South	West
Not at all	3%	2%	1%	2%
A little	9%	10%	11%	6%
Moderate	18%	19%	24%	18%
Much	18%	20%	16%	22%
Very much	14%	22%	22%	18%
My partner and I do not live together	4%	7%	5%	6%
I do not have a partner	35%	21%	21%	27%

Survey Details

📋 1,000 US adults 📅 August 12, 2026 – August 18, 2026

Verasight collected data for this project from August 12 – 18, 2026. The sample consists of 1,000 United States adults. All questions were submitted by attendees of the 2026 Annual Meeting of the Academy of Management.

The sampling criteria for this survey were:
1. US resident
2. Adult (age 18+)

The selection criteria for the final sample were:
1. Passed all data quality assurance checks, outlined below

The data are weighted to match the June 2026 Current Population Survey on age, race/ethnicity, sex, income, education, region, and metropolitan status, as well as to a running three-year average of partisanship distributions from the Pew Research Center NPORS benchmarking surveys and population benchmarks of 2024 vote. The margin of sampling error, which accounts for the design effect and is calculated using the classical random sampling formula, is +/- 3.2%.

All respondents were recruited via email from the Verasight Community, which is composed of individuals recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting. All Verasight community members are verified via multi-step authentication, including providing an SMS response from a mobile phone registered with a major U.S. carrier (e.g., no VOIP or internet phones) as well as within-survey technology, including verifying the absence of non-human responses with technologies such as Google reCAPTCHA v3. Those who exhibit low-quality response behaviors over time, such as straight-lining or speeding, are also removed and prohibited from further participation in the community. Verasight Community members receive points for taking surveys that can be redeemed for Venmo or PayPal payments, gift cards, or charitable donations. Respondents are never routed from one survey to another and receive compensation for every invited survey, so there is never an incentive to respond strategically to survey qualification screener questions.

To further ensure data quality, the Verasight data team implements a number of post-data collection quality assurance procedures, including confirming that all responses correspond with U.S. IP addresses, confirming no duplicate respondents, verifying the absence of non-human responses, and removing any respondents who failed in-survey attention and/or straight-lining checks. Respondents that completed the survey in less than 30% of the median completion time were removed.

Unmeasured error in this or any other survey may exist. Verasight is a member of the American Association for Public Opinion Research Transparency Initiative.