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 May 13–21, and 326 Texas business executives responded to the surveys.
May '25 (percent) |
|
Yes, definitely | 10.6 |
Yes, probably | 15.2 |
No | 51.7 |
Don’t know | 22.4 |
NOTE: 263 responses.
The following prompt was given to those answering yes in question 1.
Responses can be found on the individual survey Special Questions results pages, accessible by the tabs above.
For the remaining questions, respondents were provided the following definitions: Traditional AI relies on explicit programming to execute specific tasks. Examples include search algorithms and recommendations or predictions based on past trends. These AIs 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 like ChatGPT, question answering like sales or customer service chatbots, and enhanced code and/or software development.
April '24 (percent) |
May '25 (percent) |
|
Yes, traditional AI | 12.6 | 17.0 |
Yes, generative AI | 5.6 | 11.9 |
Yes, both traditional and generative AI | 14.0 | 23.9 |
Yes, but don’t know which type | 6.1 | 6.3 |
No, but planning to do so in the next 12 months | 16.5 | 19.2 |
No, and we have no plans to do so in the near future | 37.2 | 18.2 |
Don’t know | 8.1 | 3.5 |
NOTE: 318 responses.
May '25 (percent) |
|
Traditional AI | 19.7 |
Generative AI | 4.9 |
Both | 23.0 |
Don’t know | 52.5 |
NOTES: 61 responses. This question was only posed to respondents who said in question 2 they are planning to use AI in the next 12 months.
May '25 (percent) |
|
ChatGPT | 81.6 |
Generative AI tools embedded in existing software (for example, Microsoft Copilot) | 41.2 |
Gemini | 21.1 |
Github Copilot | 12.3 |
Other | 24.6 |
NOTES: 114 responses. This question was only posed to respondents who said in question 2 they are using generative AI. Respondents selecting "Other" were asked to explain, and the most common tools cited were Claude, Grok and internally created tools.
May '25 (percent) |
|
Marketing/advertising | 55.7 |
Customer service | 49.7 |
Business analysis/predictive analytics | 47.0 |
Process automation | 45.6 |
Research and development | 35.6 |
Accounting | 18.1 |
Cybersecurity/fraud detection | 17.4 |
Recruitment | 16.1 |
Quality control | 14.1 |
Supply-chain optimization | 13.4 |
Other | 8.7 |
NOTES: 149 responses. This question was only posed to respondents who said in question 2/2a they currently use generative AI or are planning to use it in the next 12 months.
Firms using generative AI (percent) |
Firms planning to use generative AI (percent) |
Combined (percent) |
|
Increase(d) our need for workers | 3.0 | 0.0 | 2.7 |
Decrease(d) our need for workers | 8.3 | 6.3 | 8.1 |
Change(d) the type of workers we need but not the number | 15.9 | 31.3 | 17.6 |
Did not/will not impact our need for workers | 64.4 | 43.8 | 62.2 |
Don’t know | 8.3 | 18.8 | 9.5 |
Number of responses | 132 | 16 | 148 |
NOTES: This question was only posed to respondents who said in question 2/2a they currently use generative AI or are planning to use it in the next 12 months. Respondents currently using generative AI were asked, "How has the use of generative AI affected employment at your firm?" and response choices were in past tense. Respondents planning to use generative AI in the next 12 months were asked, "How do you expect the use of generative AI to affect employment at your firm?" and response choices were in future tense. Results are displayed separately as well as combined.
Firms using generative AI | |||||
Increased (percent) |
No change (percent) |
Decreased (percent) |
Don’t know (percent) |
Number of responses | |
Low-skill positions (typically require high school diploma or less and minimal work experience) | 6.1 | 51.5 | 33.3 | 9.1 | 33 |
Mid-skill positions (typically require some college or technical training) | 24.2 | 39.4 | 33.3 | 3.0 | 33 |
High-skill positions (typically require college degree or higher) | 59.4 | 28.1 | 9.4 | 3.1 | 32 |
Firms planning to use generative AI | |||||
Increased (percent) |
No change (percent) |
Decreased (percent) |
Don’t know (percent) |
Number of responses | |
Low-skill positions (typically require high school diploma or less and minimal work experience) | 16.7 | 16.7 | 50.0 | 16.7 | 6 |
Mid-skill positions (typically require some college or technical training) | 33.3 | 33.3 | 16.7 | 16.7 | 6 |
High-skill positions (typically require college degree or higher) | 33.3 | 50.0 | 0.0 | 16.7 | 6 |
Combined (firms using and planning to use generative AI) | |||||
Increased (percent) |
No change (percent) |
Decreased (percent) |
Don’t know (percent) |
Number of responses | |
Low-skill positions (typically require high school diploma or less and minimal work experience) | 7.7 | 46.2 | 35.9 | 10.3 | 39 |
Mid-skill positions (typically require some college or technical training) | 25.6 | 38.5 | 30.8 | 5.1 | 39 |
High-skill positions (typically require college degree or higher) | 55.3 | 31.6 | 7.9 | 5.3 | 38 |
NOTES: 39 responses. This question was only posed to respondents who said in question 2/2a they currently use generative AI or are planning to use it in the next 12 months. Respondents currently using generative AI were asked to indicate the change in employment/workers by skill level due to the use of generative AI and response choices were in past tense. Respondents planning to use generative AI in the next 12 months were asked to indicate the expected change in employment/workers by skill level due to the use of generative AI and response choices were in future tense. Results are displayed separately as well as combined.
Firms using generative AI (percent) |
Firms planning to use generative AI (percent) |
Combined (percent) |
|
Increase(d) productivity | 60.6 | 50.0 | 59.5 |
Access to better and/or more timely information | 45.5 | 56.3 | 46.6 |
Improvement in customer relationships | 24.2 | 43.8 | 26.4 |
Reduction in costs | 21.2 | 37.5 | 23.0 |
Increase(d) revenue/sales | 13.6 | 31.3 | 15.5 |
Improved (improvement in) ability to find and hire new workers | 5.3 | 6.3 | 5.4 |
Other | 8.3 | 6.3 | 8.1 |
None/too soon to tell | 17.4 | N/A | N/A |
Number of responses | 132 | 16 | 148 |
NOTES: This question was only posed to respondents who said in question 2/2a they currently use generative AI or are planning to use it in the next 12 months. Respondents currently using generative AI were asked, "What benefits has your firm experienced from using generative AI?" and response choices were in past tense. Respondents planning to use generative AI in the next 12 months were asked, "What benefits does your firm expect to experience from using generative AI?" and response choices were in future tense. Results are displayed separately as well as combined.
May '25 (percent) |
|
Misinformation | 55.9 |
Privacy | 47.3 |
Social surveillance and/or manipulation | 33.5 |
Bias and/or discrimination | 25.9 |
Difficulty hiring workers with AI skills | 14.1 |
Workforce reduction/layoffs | 8.6 |
Other | 7.3 |
No concerns | 21.1 |
NOTE: 313 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 May 13–21, and 78 Texas manufacturers responded to the survey.
May '25 (percent) |
|
Yes, definitely | 12.7 |
Yes, probably | 19.7 |
No | 52.1 |
Don’t know | 15.5 |
NOTE: 71 responses.
The following prompt was given to those answering yes in question 1.
- We are trying to find ways to reduce costs as we expect prices will increase. We are looking at ways to use AI and automate labor and processes more than ever before.
- A number of applications are in trial. It’s difficult to know what will be effective.
- There are AI tools that we have become aware of that could potentially assist us in responding to increased tariffs and other costs.
- We will need to explore any and all cost savings opportunities (efficiency gains).
- It’s not so much a tariff issue; it’s mostly because we cannot get enough labor.
- We will continue to strive to implement automation, but this is not primarily driven by tariffs. Tariffs may play a small role, but the emphasis would be on increasing efficiency and the reduction or elimination of repetitive motion.
- Tariffs have affected our hardware costs, and we were already implementing AI to increase productivity.
- We will explore automation to lower labor costs, since material input costs are increasing.
- We are leveraging our enterprise resource planning technology more and had to hire a production planning specialist. It is very expensive.
- We are looking for ways to increase the types of products produced using more automated machinery already owned to reduce the need for more employees.
For the remaining questions, respondents were provided the following definitions: Traditional AI relies on explicit programming to execute specific tasks. Examples include search algorithms and recommendations or predictions based on past trends. These AIs 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 like ChatGPT, question answering like sales or customer service chatbots, and enhanced code and/or software development.
April '24 (percent) |
May '25 (percent) |
|
Yes, traditional AI | 8.2 | 20.8 |
Yes, generative AI | 3.5 | 10.4 |
Yes, both traditional and generative AI | 10.6 | 14.3 |
Yes, but don’t know which type | 5.9 | 3.9 |
No, but planning to do so in the next 12 months | 15.3 | 20.8 |
No, and we have no plans to do so in the near future | 47.1 | 24.7 |
Don’t know | 9.4 | 5.2 |
NOTE: 77 responses.
May '25 (percent) |
|
Traditional AI | 18.8 |
Generative AI | 6.3 |
Both | 25.0 |
Don’t know | 50.0 |
NOTES: 16 responses. This question was only posed to respondents who said in question 2 they are planning to use AI in the next 12 months.
May '25 (percent) |
|
ChatGPT | 73.7 |
Generative AI tools embedded in existing software (for example, Microsoft Copilot) | 21.1 |
Gemini | 10.5 |
Github Copilot | 5.3 |
Other | 31.6 |
NOTES: 19 responses. This question was only posed to respondents who said in question 2 they are using generative AI. Respondents selecting "Other" were asked to explain, and the most common tools cited were Claude, Grok and internally created tools.
May '25 (percent) |
|
Marketing/advertising | 77.8 |
Customer service | 51.9 |
Business analysis/predictive analytics | 44.4 |
Process automation | 40.7 |
Research and development | 37.0 |
Supply-chain optimization | 25.9 |
Accounting | 18.5 |
Cybersecurity/fraud detection | 14.8 |
Quality control | 11.1 |
Recruitment | 11.1 |
Other | 3.7 |
NOTES: 27 responses. This question was only posed to respondents who said in question 2/2a they currently use generative AI or are planning to use it in the next 12 months.
Firms using generative AI (percent) |
Firms planning to use generative AI (percent) |
Combined (percent) |
|
Increase(d) our need for workers | 0.0 | 0.0 | 0.0 |
Decrease(d) our need for workers | 9.1 | 0.0 | 7.4 |
Change(d) the type of workers we need but not the number | 9.1 | 0.0 | 7.4 |
Did not/will not impact our need for workers | 68.2 | 60.0 | 66.7 |
Don’t know | 13.6 | 40.0 | 18.5 |
Number of responses | 22 | 5 | 27 |
NOTES: This question was only posed to respondents who said in question 2/2a they currently use generative AI or are planning to use it in the next 12 months. Respondents currently using generative AI were asked, "How has the use of generative AI affected employment at your firm?" and response choices were in past tense. Respondents planning to use generative AI in the next 12 months were asked, "How do you expect the use of generative AI to affect employment at your firm?" and response choices were in future tense. Results are displayed separately as well as combined.
Firms using generative AI (percent) |
Firms planning to use generative AI (percent) |
Combined (percent) |
|
Access to better and/or more timely information | 54.5 | 40.0 | 51.9 |
Increase(d) productivity | 54.5 | 20.0 | 48.1 |
Reduction in costs | 22.7 | 40.0 | 25.9 |
Improvement in customer relationships | 13.6 | 20.0 | 14.8 |
Increase(d) revenue/sales | 9.1 | 20.0 | 11.1 |
Improved (improvement in) ability to find and hire new workers | 4.5 | 20.0 | 7.4 |
Other | 4.5 | 20.0 | 7.4 |
None/too soon to tell | 18.2 | N/A | N/A |
Number of responses | 22 | 5 | 27 |
NOTES: This question was only posed to respondents who said in question 2/2a they currently use generative AI or are planning to use it in the next 12 months. Respondents currently using generative AI were asked, "What benefits has your firm experienced from using generative AI?" and response choices were in past tense. Respondents planning to use generative AI in the next 12 months were asked, "What benefits does your firm expect to experience from using generative AI?" and response choices were in future tense. Results are displayed separately as well as combined.
May '25 (percent) |
|
Misinformation | 57.3 |
Privacy | 40.0 |
Social surveillance and/or manipulation | 29.3 |
Bias and/or discrimination | 24.0 |
Difficulty hiring workers with AI skills | 14.7 |
Workforce reduction/layoffs | 6.7 |
Other | 6.7 |
No concerns | 25.3 |
NOTE: 75 responses.
Survey respondents were given the opportunity to also provide comments, which can be found in the Comments tab above.
Texas Service Sector Outlook Survey
Data were collected May 13–21, and 248 Texas business executives responded to the survey.
May '25 (percent) |
|
Yes, definitely | 9.9 |
Yes, probably | 13.5 |
No | 51.6 |
Don’t know | 25.0 |
NOTE: 192 responses.
The following prompt was given to those answering yes in question 1.
- Lower customer support costs and hopefully improved underwriting algorithms.
- High tariffs continue to be a concern. Business slows down as tariffs continue to be negotiated.
- In areas where the risk-reward is worthwhile and compliant with regulatory needs.
- There is an impetus to explore new or other cost-cutting measures.
- That is assuming there are actually tariffs. If so, we will see the cost of delivering new buildings increase, and we will see changes in demand for our logistics business. However, our house view is that the overall impact of tariffs will be muted. We are more concerned with the erosion of trust and confidence in the U.S. that could result from increased political instability.
- We are exploring options.
- It's always a good time to take advantage of automation.
- Seeking more efficiency and better use of technology.
- Crisis always brings new innovation and changes how we look at our business. We will seek equipment that could replace employees or reduce the need for labor and look to change our model.
- This needs to be done regardless of higher tariffs.
- Elimination of other operating costs via automation is the easiest way to compensate for margin erosion for those that have the capital to do so.
- We are a tech firm and we're all over AI. The privacy and General Data Protection Regulation constraints are a huge blocker.
- Our prices for equipment and supplies have increased due to tariffs. No matter what, we are embracing AI as it enables us to accelerate the delivery of our services and products to our clients.
- Currently using AI for meeting transcription, meeting prep and follow-up. Tariffs no doubt impact the stock and bond markets. We are primarily money managers, and this has created uncertainty in the markets, creating extra work and lower fee revenue.
- Looking forward to general availability and lower prices of robots for simple tasks.
- Automate tasks.
- The IT business is dependent on the growth of our customers. As their growth and profits decline, so will their spending on IT.
- I expect a 5 percent rise in construction pricing, making it that much harder to finance projects. I'm also concerned about the rising cost of insurance.
- More technology options in a push for higher productivity.
- We are incorporating summaries for our vendors and supporters. These sorts of routine communications can be better detailed and more timely.
- Not directly related to a specific tariff, but part of the overall plan to offset cost increases.
For the remaining questions, respondents were provided the following definitions: Traditional AI relies on explicit programming to execute specific tasks. Examples include search algorithms and recommendations or predictions based on past trends. These AIs 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 like ChatGPT, question answering like sales or customer service chatbots, and enhanced code and/or software development.
April '24 (percent) |
May '25 (percent) |
|
Yes, traditional AI | 13.9 | 15.8 |
Yes, generative AI | 6.2 | 12.4 |
Yes, both traditional and generative AI | 15.0 | 27.0 |
Yes, but don’t know which type | 6.2 | 7.1 |
No, but planning to do so in the next 12 months | 16.8 | 18.7 |
No, and we have no plans to do so in the near future | 34.1 | 16.2 |
Don’t know | 7.7 | 2.9 |
NOTE: 241 responses.
May '25 (percent) |
|
Traditional AI | 20.0 |
Generative AI | 4.4 |
Both | 22.2 |
Don’t know | 53.3 |
NOTES: 45 responses. This question was only posed to respondents who said in question 2 they are planning to use AI in the next 12 months.
May '25 (percent) |
|
ChatGPT | 83.2 |
Generative AI tools embedded in existing software (for example, Microsoft Copilot) | 45.3 |
Gemini | 23.2 |
Github Copilot | 13.7 |
Other | 23.2 |
NOTES: 95 responses. This question was only posed to respondents who said in question 2 they are using generative AI. Respondents selecting "Other" were asked to explain, and the most common tools cited were Claude, Grok and internally created tools.
May '25 (percent) |
|
Marketing/advertising | 50.8 |
Customer service | 49.2 |
Business analysis/predictive analytics | 47.5 |
Process automation | 46.7 |
Research and development | 35.2 |
Accounting | 18.0 |
Cybersecurity/fraud detection | 18.0 |
Recruitment | 17.2 |
Quality control | 14.8 |
Supply-chain optimization | 10.7 |
Other | 9.8 |
NOTES: 122 responses. This question was only posed to respondents who said in question 2/2a they currently use generative AI or are planning to use it in the next 12 months.
Firms using generative AI (percent) |
Firms planning to use generative AI (percent) |
Combined (percent) |
|
Increase(d) our need for workers | 3.6 | 0.0 | 3.3 |
Decrease(d) our need for workers | 8.2 | 9.1 | 8.3 |
Change(d) the type of workers we need but not the number | 17.3 | 45.5 | 19.8 |
Did not/will not impact our need for workers | 63.6 | 36.4 | 61.2 |
Don’t know | 7.3 | 9.1 | 7.4 |
Number of responses | 110 | 11 | 121 |
NOTES: This question was only posed to respondents who said in question 2/2a they currently use generative AI or are planning to use it in the next 12 months. Respondents currently using generative AI were asked, "How has the use of generative AI affected employment at your firm?" and response choices were in past tense. Respondents planning to use generative AI in the next 12 months were asked, "How do you expect the use of generative AI to affect employment at your firm?" and response choices were in future tense. Results are displayed separately as well as combined.
Firms using generative AI (percent) |
Firms planning to use generative AI (percent) |
Combined (percent) |
|
Increase(d) productivity | 61.8 | 63.6 | 62.0 |
Access to better and/or more timely information | 43.6 | 63.6 | 45.5 |
Improvement in customer relationships | 26.4 | 54.5 | 28.9 |
Reduction in costs | 20.9 | 36.4 | 22.3 |
Increase(d) revenue/sales | 14.5 | 36.4 | 16.5 |
Improved (improvement in) ability to find and hire new workers | 5.5 | 0.0 | 5.0 |
Other | 9.1 | 0.0 | 8.3 |
None/too soon to tell | 17.3 | N/A | N/A |
Number of responses | 110 | 11 | 121 |
NOTES: This question was only posed to respondents who said in question 2/2a they currently use generative AI or are planning to use it in the next 12 months. Respondents currently using generative AI were asked, "What benefits has your firm experienced from using generative AI?" and response choices were in past tense. Respondents planning to use generative AI in the next 12 months were asked, "What benefits does your firm expect to experience from using generative AI?" and response choices were in future tense. Results are displayed separately as well as combined.
May '25 (percent) |
|
Misinformation | 55.5 |
Privacy | 49.6 |
Social surveillance and/or manipulation | 34.9 |
Bias and/or discrimination | 26.5 |
Difficulty hiring workers with AI skills | 13.9 |
Workforce reduction/layoffs | 9.2 |
Other | 7.6 |
No concerns | 19.7 |
NOTE: 238 responses.
Survey respondents were given the opportunity to also provide comments, which can be found in the Comments tab above.
Texas Retail Outlook Survey
Data were collected May 13–21, and 46 Texas retailers responded to the survey.
May '25 (percent) |
|
Yes, definitely | 7.1 |
Yes, probably | 16.7 |
No | 52.4 |
Don’t know | 23.8 |
NOTE: 42 responses.
The following prompt was given to those answering yes in question 1.
- We are using AI to help speed up tasks in administration functions.
- We want to embrace AI and use it in whatever way we can to improve our business model.
- We are training to better understand AI and how to use it for inventory management and purchasing.
- Less workers.
- For estimating.
- Looking to AI for areas that can be optimized.
- Our accounting and IT team will begin to use ChatGPT and CoPilot to analyze past data to guide future decisions.
For the remaining questions, respondents were provided the following definitions: Traditional AI relies on explicit programming to execute specific tasks. Examples include search algorithms and recommendations or predictions based on past trends. These AIs 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 like ChatGPT, question answering like sales or customer service chatbots, and enhanced code and/or software development.
April '24 (percent) |
May '25 (percent) |
|
Yes, traditional AI | 13.7 | 13.6 |
Yes, generative AI | 7.8 | 6.8 |
Yes, both traditional and generative AI | 9.8 | 20.5 |
Yes, but don’t know which type | 2.0 | 4.5 |
No, but planning to do so in the next 12 months | 13.7 | 25.0 |
No, and we have no plans to do so in the near future | 47.1 | 22.7 |
Don’t know | 5.9 | 6.8 |
NOTE: 44 responses.
May '25 (percent) |
|
Traditional AI | 9.1 |
Generative AI | 0.0 |
Both | 9.1 |
Don’t know | 81.8 |
NOTES: 11 responses. This question was only posed to respondents who said in question 2 they are planning to use AI in the next 12 months.
May '25 (percent) |
|
ChatGPT | 100.0 |
Generative AI tools embedded in existing software (for example, Microsoft Copilot) | 33.3 |
Gemini | 8.3 |
Github Copilot | 0.0 |
Other | 25.0 |
NOTES: 12 responses. This question was only posed to respondents who said in question 2 they are using generative AI. Respondents selecting "Other" were asked to explain, and the most common tools cited were Claude, Grok and internally created tools.
May '25 (percent) |
|
Customer service | 66.7 |
Business analysis/predictive analytics | 66.7 |
Supply-chain optimization | 46.7 |
Marketing/advertising | 40.0 |
Process automation | 33.3 |
Accounting | 26.7 |
Cybersecurity/fraud detection | 26.7 |
Recruitment | 20.0 |
Quality control | 6.7 |
Research and development | 6.7 |
Other | 20.0 |
NOTES: 15 responses. This question was only posed to respondents who said in question 2/2a they currently use generative AI or are planning to use it in the next 12 months.
Firms using generative AI (percent) |
Firms planning to use generative AI (percent) |
Combined (percent) |
|
Increase(d) our need for workers | 0.0 | 0.0 | 0.0 |
Decrease(d) our need for workers | 14.3 | 0.0 | 13.3 |
Change(d) the type of workers we need but not the number | 14.3 | 0.0 | 13.3 |
Did not/will not impact our need for workers | 71.4 | 100.0 | 73.3 |
Don’t know | 0.0 | 0.0 | 0.0 |
Number of responses | 14 | 1 | 15 |
NOTES: This question was only posed to respondents who said in question 2/2a they currently use generative AI or are planning to use it in the next 12 months. Respondents currently using generative AI were asked, "How has the use of generative AI affected employment at your firm?" and response choices were in past tense. Respondents planning to use generative AI in the next 12 months were asked, "How do you expect the use of generative AI to affect employment at your firm?" and response choices were in future tense. Results are displayed separately as well as combined.
Firms using generative AI (percent) |
Firms planning to use generative AI (percent) |
Combined (percent) |
|
Increase(d) productivity | 57.1 | 0.0 | 53.3 |
Access to better and/or more timely information | 57.1 | 100.0 | 60.0 |
Improvement in customer relationships | 35.7 | 0.0 | 33.3 |
Reduction in costs | 14.3 | 0.0 | 13.3 |
Increase(d) revenue/sales | 14.3 | 100.0 | 20.0 |
Improved (improvement in) ability to find and hire new workers | 7.1 | 0.0 | 6.7 |
Other | 0.0 | 0.0 | 0.0 |
None/too soon to tell | 14.3 | N/A | N/A |
Number of responses | 14 | 1 | 15 |
NOTES: This question was only posed to respondents who said in question 2/2a they currently use generative AI or are planning to use it in the next 12 months. Respondents currently using generative AI were asked, "What benefits has your firm experienced from using generative AI?" and response choices were in past tense. Respondents planning to use generative AI in the next 12 months were asked, "What benefits does your firm expect to experience from using generative AI?" and response choices were in future tense. Results are displayed separately as well as combined.
May '25 (percent) |
|
Privacy | 50.0 |
Misinformation | 45.5 |
Social surveillance and/or manipulation | 27.3 |
Bias and/or discrimination | 15.9 |
Workforce reduction/layoffs | 6.8 |
Difficulty hiring workers with AI skills | 6.8 |
Other | 9.1 |
No concerns | 29.5 |
NOTE: 44 responses.
Survey respondents were given the opportunity to also provide comments, which can be found in the Comments tab above.
Questions regarding the Texas Business Outlook Surveys can be addressed to Emily Kerr at emily.kerr@dal.frb.org.
Sign up for our email alert to be automatically notified as soon as the latest surveys are released on the web.
Special Questions Comments
Survey participants are given the opportunity to submit comments. Some comments have been edited for grammar and clarity.