Special Questions
Special Questions
For this month’s survey, Texas business executives were asked supplemental questions on artificial intelligence (AI). Results below include responses from participants of all three surveys: Texas Manufacturing Outlook Survey, Texas Service Sector Outlook Survey and Texas Retail Outlook Survey.
Texas Business Outlook Surveys
Data were collected April 16–24, and 363 Texas business executives responded to the surveys.
Artificial intelligence, or AI, is technology that enables computers and machines to simulate human intelligence and problem-solving capabilities. Traditional AI relies on explicit programming to execute specific tasks. Examples include search algorithms and recommendations or predictions based on past trends. These AI programs have been trained to follow given rules and perform tasks, but they don’t create anything new. Generative AI is distinct from traditional AI in that it autonomously generates new content. Examples include written content creation such as ChatGPT, question-answering such as sales or customer service chatbots, and enhanced code or software development.
April '24 (percent) |
|
Yes, traditional AI | 12.6 |
Yes, generative AI | 5.6 |
Yes, both traditional and generative AI | 14.0 |
Yes, but don’t know which type | 6.1 |
No, but planning to do so in the next 12 months | 16.5 |
No, and we have no plans to do so in the near future | 37.2 |
Don’t know | 8.1 |
NOTES: 358 responses.
April '24 (percent) |
|
Marketing/advertising | 50.3 |
Business analysis/predictive analytics | 45.1 |
Process automation | 43.1 |
Customer service | 39.0 |
Cybersecurity/fraud detection | 22.1 |
Accounting | 19.5 |
Supply-chain optimization | 12.8 |
Quality control | 11.3 |
Other | 14.9 |
NOTES: 195 responses. This question was only posed to respondents who said in question 1 they currently use AI or are planning to use it in the next 12 months. Respondents selecting "Other" were asked to explain, and the most common uses cited were recruitment and research and development.
April '24 (percent) |
|||
Firms using AI | Firms planning to use AI | Combined | |
Increase(d) our need for workers | 2.2 | 5.2 | 3.1 |
Decrease(d) our need for workers | 9.0 | 15.5 | 10.9 |
Change(d) the type of workers we need but not the number | 14.2 | 12.1 | 13.5 |
Did not/will not impact our need for workers | 66.4 | 48.3 | 60.9 |
Don’t know | 8.2 | 19.0 | 11.5 |
Number of responses | 134 | 58 | 192 |
NOTES: Respondents selecting any version of "Yes" in question 1 were asked, "On net, how has the use of AI affected employment at your firm?" and response choices were in past tense. Respondents selecting, "No, but planning to do so in the next 12 months" in question 1 were asked, "On net, how do you expect the use of AI to affect employment at your firm?" and response choices were in future tense. Results are displayed separately as well as combined.
Firms using AI | April '24 | |||
Increased (percent) |
Decreased (percent) |
No change (percent) |
Don’t know (percent) |
|
Low-skill positions (typically require high school diploma or less and minimal work experience) | 6.5 | 48.4 | 38.7 | 6.5 |
Mid-skill positions (typically require some college or technical training) | 25.8 | 32.3 | 32.3 | 9.7 |
High-skill positions (typically require college degree or higher) | 42.4 | 3.0 | 45.5 | 9.1 |
Firms planning to use AI | April '24 | |||
Increase (percent) |
Decrease (percent) |
No change (percent) |
Don’t know (percent) |
|
Low-skill positions (typically require high school diploma or less and minimal work experience) | 11.8 | 35.3 | 41.2 | 11.8 |
Mid-skill positions (typically require some college or technical training) | 23.5 | 41.2 | 23.5 | 11.8 |
High-skill positions (typically require college degree or higher) | 50.0 | 16.7 | 11.1 | 22.2 |
Combined | April '24 | |||
Increase(d) (percent) |
Decrease(d) (percent) |
No change (percent) |
Don’t know (percent) |
|
Low-skill positions (typically require high school diploma or less and minimal work experience) | 8.3 | 43.8 | 39.6 | 8.3 |
Mid-skill positions (typically require some college or technical training) | 25.0 | 35.4 | 29.2 | 10.4 |
High-skill positions (typically require college degree or higher) | 45.1 | 7.8 | 33.3 | 13.7 |
NOTES: 51 responses. This question was only posed to respondents selecting one of the first three answer choices in question 3. Respondents selecting any version of "Yes" in question 1 were asked to indicate the change in employment/workers by skill level due to the use of AI. Respondents selecting, "No, but planning to do so in the next 12 months" in question 1 were asked to indicate the expected change in employment/workers by skill level due to the use of AI. Results are displayed separately as well as combined.
April '24 (percent) |
|||
Firms using AI | Firms planning to use AI | Combined | |
Increase(d) productivity | 61.4 | 61.7 | 61.5 |
Access to better and/or more timely information | 50.0 | 53.3 | 51.0 |
Reduction in costs | 26.5 | 46.7 | 32.8 |
Improvement in customer relationships | 23.5 | 50.0 | 31.8 |
Increase(d) revenue/sales | 11.4 | 26.7 | 16.1 |
Other | 13.6 | 0.0 | 9.4 |
Number of responses | 132 | 60 | 192 |
NOTES: Respondents selecting any version of "Yes" in question 1 were asked, "What benefits has your firm experienced from using AI?" and response choices were in past tense. Respondents selecting, "No, but planning to do so in the next 12 months" were asked, "What benefits does your firm expect to experience from using AI?" and response choices were in future tense. Results are displayed separately as well as combined. Respondents selecting "Other" were asked to explain, and roughly one-third of them noted that it was too soon to tell or that they had not seen any benefit so far.
April '24 (percent) |
|
Misinformation | 60.1 |
Privacy | 44.9 |
Social surveillance and/or manipulation | 36.8 |
Bias and/or discrimination | 24.4 |
Difficulty hiring workers with AI skills | 20.5 |
Workforce reduction/layoffs | 9.0 |
Other | 7.6 |
No concerns | 18.3 |
NOTES: 356 responses.
Survey respondents were given the opportunity to also provide comments, which can be found in the Comments tab above.
Texas Manufacturing Outlook Survey
Data were collected April 16–24 and 86 Texas manufacturers responded to the survey.
Artificial intelligence, or AI, is technology that enables computers and machines to simulate human intelligence and problem-solving capabilities. Traditional AI relies on explicit programming to execute specific tasks. Examples include search algorithms and recommendations or predictions based on past trends. These AI programs have been trained to follow given rules and perform tasks, but they don’t create anything new. Generative AI is distinct from traditional AI in that it autonomously generates new content. Examples include written content creation such as ChatGPT, question-answering such as sales or customer service chatbots, and enhanced code or software development.
April '24 (percent) |
|
Yes, traditional AI | 8.2 |
Yes, generative AI | 3.5 |
Yes, both traditional and generative AI | 10.6 |
Yes, but don’t know which type | 5.9 |
No, but planning to do so in the next 12 months | 15.3 |
No, and we have no plans to do so in the near future | 47.1 |
Don’t know | 9.4 |
NOTES: 85 responses.
April '24 (percent) |
|
Process automation | 67.6 |
Business analysis/predictive analytics | 62.2 |
Marketing/advertising | 54.1 |
Customer service | 40.5 |
Cybersecurity/fraud detection | 35.1 |
Accounting | 32.4 |
Supply-chain optimization | 29.7 |
Quality control | 13.5 |
Other | 10.8 |
NOTES: 37 responses. This question was only posed to respondents who said in question 1 they currently use AI or are planning to use it in the next 12 months.
April '24 (percent) |
|||
Firms using AI | Firms planning to use AI | Combined | |
Increase(d) our need for workers | 4.2 | 0.0 | 2.7 |
Decrease(d) our need for workers | 12.5 | 23.1 | 16.2 |
Change(d) the type of workers we need but not the number | 12.5 | 15.4 | 13.5 |
Did not/will not impact our need for workers | 58.3 | 38.5 | 51.4 |
Don’t know | 12.5 | 23.1 | 16.2 |
Number of responses | 24 | 13 | 37 |
NOTES: Respondents selecting any version of "Yes" in question 1 were asked, "On net, how has the use of AI affected employment at your firm?" and response choices were in past tense. Respondents selecting, "No, but planning to do so in the next 12 months" in question 1 were asked, "On net, how do you expect the use of AI to affect employment at your firm?" and response choices were in future tense. Results are displayed separately as well as combined.
Firms using AI | April '24 | |||
Increased (percent) |
Decreased (percent) |
No change (percent) |
Don’t know (percent) |
|
Low-skill positions (typically require high school diploma or less and minimal work experience) | 0.0 | 28.6 | 71.4 | 0.0 |
Mid-skill positions (typically require some college or technical training) | 28.6 | 28.6 | 42.9 | 0.0 |
High-skill positions (typically require college degree or higher) | 28.6 | 0.0 | 71.4 | 0.0 |
Firms planning to use AI | April '24 | |||
Increase (percent) |
Decrease (percent) |
No change (percent) |
Don’t know (percent) |
|
Low-skill positions (typically require high school diploma or less and minimal work experience) | 25.0 | 25.0 | 50.0 | 0.0 |
Mid-skill positions (typically require some college or technical training) | 25.0 | 50.0 | 25.0 | 0.0 |
High-skill positions (typically require college degree or higher) | 40.0 | 20.0 | 20.0 | 20.0 |
Combined | April '24 | |||
Increase(d) (percent) |
Decrease(d) (percent) |
No change (percent) |
Don’t know (percent) |
|
Low-skill positions (typically require high school diploma or less and minimal work experience) | 9.1 | 27.3 | 63.6 | 0.0 |
Mid-skill positions (typically require some college or technical training) | 27.3 | 36.4 | 36.4 | 0.0 |
High-skill positions (typically require college degree or higher) | 33.3 | 8.3 | 50.0 | 8.3 |
NOTES: 12 responses. This question was only posed to respondents selecting one of the first three answer choices in question 3. Respondents selecting any version of "Yes" in question 1 were asked to indicate the change in employment/workers by skill level due to the use of AI. Respondents selecting, "No, but planning to do so in the next 12 months" in question 1 were asked to indicate the expected change in employment/workers by skill level due to the use of AI. Results are displayed separately as well as combined.
April '24 (percent) |
|||
Firms using AI | Firms planning to use AI | Combined | |
Access to better and/or more timely information | 62.5 | 46.2 | 56.8 |
Increase(d) productivity | 54.2 | 76.9 | 62.2 |
Reduction in costs | 33.3 | 69.2 | 45.9 |
Improvement in customer relationships | 12.5 | 61.5 | 29.7 |
Increase(d) revenue/sales | 4.2 | 38.5 | 16.2 |
Other | 12.5 | 0.0 | 8.1 |
Number of responses | 24 | 13 | 37 |
NOTES: Respondents selecting any version of "Yes" in question 1 were asked, "What benefits has your firm experienced from using AI?" and response choices were in past tense. Respondents selecting, "No, but planning to do so in the next 12 months" were asked, "What benefits does your firm expect to experience from using AI?" and response choices were in future tense. Results are displayed separately as well as combined.
April '24 (percent) |
|
Misinformation | 52.3 |
Privacy | 43.0 |
Social surveillance and/or manipulation | 34.9 |
Bias and/or discrimination | 17.4 |
Difficulty hiring workers with AI skills | 16.3 |
Workforce reduction/layoffs | 8.1 |
Other | 9.3 |
No concerns | 20.9 |
NOTES: 86 responses.
Texas Service Sector Outlook Survey
Data were collected April 16–24 and 277 Texas business executives responded to the survey.
Artificial intelligence, or AI, is technology that enables computers and machines to simulate human intelligence and problem-solving capabilities. Traditional AI relies on explicit programming to execute specific tasks. Examples include search algorithms and recommendations or predictions based on past trends. These AI programs have been trained to follow given rules and perform tasks, but they don’t create anything new. Generative AI is distinct from traditional AI in that it autonomously generates new content. Examples include written content creation such as ChatGPT, question-answering such as sales or customer service chatbots, and enhanced code or software development.
April '24 (percent) |
|
Yes, traditional AI | 13.9 |
Yes, generative AI | 6.2 |
Yes, both traditional and generative AI | 15.0 |
Yes, but don’t know which type | 6.2 |
No, but planning to do so in the next 12 months | 16.8 |
No, and we have no plans to do so in the near future | 34.1 |
Don’t know | 7.7 |
NOTES: 273 responses.
April '24 (percent) |
|
Marketing/advertising | 49.4 |
Business analysis/predictive analytics | 41.1 |
Customer service | 38.6 |
Process automation | 37.3 |
Cybersecurity/fraud detection | 19.0 |
Accounting | 16.5 |
Quality control | 10.8 |
Supply-chain optimization | 8.9 |
Other | 15.8 |
NOTES: 158 responses. This question was only posed to respondents who said in question 1 they currently use AI or are planning to use it in the next 12 months.
April '24 (percent) |
|||
Firms using AI | Firms planning to use AI | Combined | |
Increase(d) our need for workers | 1.8 | 6.7 | 3.2 |
Decrease(d) our need for workers | 8.2 | 13.3 | 9.7 |
Change(d) the type of workers we need but not the number | 14.5 | 11.1 | 13.5 |
Did not/will not impact our need for workers | 68.2 | 51.1 | 63.2 |
Don’t know | 7.3 | 17.8 | 10.3 |
Number of responses | 110 | 45 | 155 |
NOTES: Respondents selecting any version of "Yes" in question 1 were asked, "On net, how has the use of AI affected employment at your firm?" and response choices were in past tense. Respondents selecting, "No, but planning to do so in the next 12 months" in question 1 were asked, "On net, how do you expect the use of AI to affect employment at your firm?" and response choices were in future tense. Results are displayed separately as well as combined.
Firms using AI | April '24 | |||
Increased (percent) |
Decreased (percent) |
No change (percent) |
Don’t know (percent) |
|
Low-skill positions (typically require high school diploma or less and minimal work experience) | 8.3 | 54.2 | 29.2 | 8.3 |
Mid-skill positions (typically require some college or technical training) | 25.0 | 33.3 | 29.2 | 12.5 |
High-skill positions (typically require college degree or higher) | 46.2 | 3.8 | 38.5 | 11.5 |
Firms planning to use AI | April '24 | |||
Increase (percent) |
Decrease (percent) |
No change (percent) |
Don’t know (percent) |
|
Low-skill positions (typically require high school diploma or less and minimal work experience) | 7.7 | 38.5 | 38.5 | 15.4 |
Mid-skill positions (typically require some college or technical training) | 23.1 | 38.5 | 23.1 | 15.4 |
High-skill positions (typically require college degree or higher) | 53.8 | 15.4 | 7.7 | 23.1 |
Combined | April '24 | |||
Increase(d) (percent) |
Decrease(d) (percent) |
No change (percent) |
Don’t know (percent) |
|
Low-skill positions (typically require high school diploma or less and minimal work experience) | 8.1 | 48.6 | 32.4 | 10.8 |
Mid-skill positions (typically require some college or technical training) | 24.3 | 35.1 | 27.0 | 13.5 |
High-skill positions (typically require college degree or higher) | 48.7 | 7.7 | 28.2 | 15.4 |
NOTES: 39 responses. This question was only posed to respondents selecting one of the first three answer choices in question 3. Respondents selecting any version of "Yes" in question 1 were asked to indicate the change in employment/workers by skill level due to the use of AI. Respondents selecting, "No, but planning to do so in the next 12 months" in question 1 were asked to indicate the expected change in employment/workers by skill level due to the use of AI. Results are displayed separately as well as combined.
April '24 (percent) |
|||
Firms using AI | Firms planning to use AI | Combined | |
Increase(d) productivity | 63.0 | 57.4 | 61.3 |
Access to better and/or more timely information | 47.2 | 55.3 | 49.7 |
Improvement in customer relationships | 25.9 | 46.8 | 32.3 |
Reduction in costs | 25.0 | 40.4 | 29.7 |
Increase(d) revenue/sales | 13.0 | 23.4 | 16.1 |
Other | 13.9 | 0.0 | 9.7 |
Number of responses | 108 | 47 | 155 |
NOTES: Respondents selecting any version of "Yes" in question 1 were asked, "What benefits has your firm experienced from using AI?" and response choices were in past tense. Respondents selecting, "No, but planning to do so in the next 12 months" were asked, "What benefits does your firm expect to experience from using AI?" and response choices were in future tense. Results are displayed separately as well as combined.
April '24 (percent) |
|
Misinformation | 62.6 |
Privacy | 45.6 |
Social surveillance and/or manipulation | 37.4 |
Bias and/or discrimination | 26.7 |
Difficulty hiring workers with AI skills | 21.9 |
Workforce reduction/layoffs | 9.3 |
Other | 7.0 |
No concerns | 17.4 |
NOTES: 270 responses.
Texas Retail Outlook Survey
Data were collected April 16–24 and 53 Texas retailers responded to the survey.
Artificial intelligence, or AI, is technology that enables computers and machines to simulate human intelligence and problem-solving capabilities. Traditional AI relies on explicit programming to execute specific tasks. Examples include search algorithms and recommendations or predictions based on past trends. These AI programs have been trained to follow given rules and perform tasks, but they don’t create anything new. Generative AI is distinct from traditional AI in that it autonomously generates new content. Examples include written content creation such as ChatGPT, question-answering such as sales or customer service chatbots, and enhanced code or software development.
April '24 (percent) |
|
Yes, traditional AI | 13.7 |
Yes, generative AI | 7.8 |
Yes, both traditional and generative AI | 9.8 |
Yes, but don’t know which type | 2.0 |
No, but planning to do so in the next 12 months | 13.7 |
No, and we have no plans to do so in the near future | 47.1 |
Don’t know | 5.9 |
NOTES: 51 responses.
April '24 (percent) |
|
Marketing/advertising | 56.5 |
Customer service | 52.2 |
Business analysis/predictive analytics | 47.8 |
Supply-chain optimization | 26.1 |
Process automation | 17.4 |
Accounting | 17.4 |
Cybersecurity/fraud detection | 17.4 |
Quality control | 4.3 |
Other | 4.3 |
NOTES: 23 responses. This question was only posed to respondents who said in question 1 they currently use AI or are planning to use it in the next 12 months.
April '24 (percent) |
|||
Firms using AI | Firms planning to use AI | Combined | |
Increase(d) our need for workers | 0.0 | 33.3 | 8.7 |
Decrease(d) our need for workers | 0.0 | 0.0 | 0.0 |
Change(d) the type of workers we need but not the number | 11.8 | 0.0 | 8.7 |
Did not/will not impact our need for workers | 76.5 | 33.3 | 65.2 |
Don’t know | 11.8 | 33.3 | 17.4 |
Number of responses | 17 | 6 | 23 |
NOTES: Respondents selecting any version of "Yes" in question 1 were asked, "On net, how has the use of AI affected employment at your firm?" and response choices were in past tense. Respondents selecting, "No, but planning to do so in the next 12 months" in question 1 were asked, "On net, how do you expect the use of AI to affect employment at your firm?" and response choices were in future tense. Results are displayed separately as well as combined.
Firms using AI | April '24 | |||
Increased (percent) |
Decreased (percent) |
No change (percent) |
Don’t know (percent) |
|
Low-skill positions (typically require high school diploma or less and minimal work experience) | 0.0 | 100.0 | 0.0 | 0.0 |
Mid-skill positions (typically require some college or technical training) | 50.0 | 0.0 | 50.0 | 0.0 |
High-skill positions (typically require college degree or higher) | 50.0 | 0.0 | 50.0 | 0.0 |
Firms planning to use AI | April '24 | |||
Increase (percent) |
Decrease (percent) |
No change (percent) |
Don’t know (percent) |
|
Low-skill positions (typically require high school diploma or less and minimal work experience) | 0.0 | 50.0 | 50.0 | 0.0 |
Mid-skill positions (typically require some college or technical training) | 50.0 | 0.0 | 50.0 | 0.0 |
High-skill positions (typically require college degree or higher) | 100.0 | 0.0 | 0.0 | 0.0 |
Combined | April '24 | |||
Increase(d) (percent) |
Decrease(d) (percent) |
No change (percent) |
Don’t know (percent) |
|
Low-skill positions (typically require high school diploma or less and minimal work experience) | 0.0 | 75.0 | 25.0 | 0.0 |
Mid-skill positions (typically require some college or technical training) | 50.0 | 0.0 | 50.0 | 0.0 |
High-skill positions (typically require college degree or higher) | 75.0 | 0.0 | 25.0 | 0.0 |
NOTES: 4 responses. This question was only posed to respondents selecting one of the first three answer choices in question 3. Respondents selecting any version of "Yes" in question 1 were asked to indicate the change in employment/workers by skill level due to the use of AI. Respondents selecting, "No, but planning to do so in the next 12 months" in question 1 were asked to indicate the expected change in employment/workers by skill level due to the use of AI. Results are displayed separately as well as combined.
April '24 (percent) |
|||
Firms using AI | Firms planning to use AI | Combined | |
Increase(d) productivity | 50.0 | 50.0 | 50.0 |
Access to better and/or more timely information | 50.0 | 50.0 | 50.0 |
Improvement in customer relationships | 37.5 | 50.0 | 40.9 |
Reduction in costs | 31.3 | 16.7 | 27.3 |
Increase(d) revenue/sales | 25.0 | 0.0 | 18.2 |
Other | 12.5 | 0.0 | 9.1 |
Number of responses | 16 | 6 | 22 |
NOTES: Respondents selecting any version of "Yes" in question 1 were asked, "What benefits has your firm experienced from using AI?" and response choices were in past tense. Respondents selecting, "No, but planning to do so in the next 12 months" were asked, "What benefits does your firm expect to experience from using AI?" and response choices were in future tense. Results are displayed separately as well as combined.
April '24 (percent) |
|
Misinformation | 58.0 |
Privacy | 42.0 |
Social surveillance and/or manipulation | 32.0 |
Bias and/or discrimination | 18.0 |
Difficulty hiring workers with AI skills | 16.0 |
Workforce reduction/layoffs | 6.0 |
Other | 4.0 |
No concerns | 22.0 |
NOTES: 50 responses.
Questions regarding the Texas Business Outlook Surveys can be addressed to Emily Kerr at emily.kerr@dal.frb.org.
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Special Questions Comments
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