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The Desire for AI Advice in Retirement Plans: A Latent Class Analysis

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Sep 02, 2025

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Figure 1.

Distribution of AI Adoption Segments in Financial Advice.
Distribution of AI Adoption Segments in Financial Advice.

Figure 2.

AI Retirement Tool Preferences by Latent Class.
AI Retirement Tool Preferences by Latent Class.

Figure 3.

Financial Professional Usage by Latent Class.
Financial Professional Usage by Latent Class.

Figure 4.

Socio-demographic Relationships by Latent Class.
Socio-demographic Relationships by Latent Class.

Sample Demographics

Variable n %
Age
  18–34 846 42.30
  35–44 680 34.00
  45–64 446 22.30
  65+ 28 1.40
Gender
  Female 1247 62.35
  Male 753 37.65
Education
  High school or less 226 11.30
  Trade/vocational/associate degree 290 14.50
  Some college, no degree 205 10.25
  College graduate (4-year degree) 630 31.50
  Postgraduate work 121 6.05
  Graduate/professional degree 528 26.40
Marital Status
  Married 1080 54.00
  Divorced 101 5.05
  Separated 22 1.10
  Living w/a partner 146 7.30
  Single, never married 628 31.40
  Widowed 23 1.15
Race
  White 1533 76.65
  Black 321 16.05
  Asian American 61 3.05
  Native American 36 1.80
  Other 49 2.45
Ethnicity
  Hispanic 270 13.50
  Non-Hispanic 1730 86.50
Dependent Children
  Yes 970 48.50
  No 1030 51.50
Household Income (in U.S. dollars)
  Under 20,000 122 6.10
  20 to 34,999 146 7.30
  35 to 49,000 188 9.40
  50 to 74,999 392 19.60
  75 to 99,999 452 22.60
  100 to 149,999 263 13.15
  150 to 199,999 180 9.00
  200 to 249,999 150 7.50
Work with one or more Financial Professional?
  Yes 846 42.30
  No 1049 52.45%
  Unsure 105 5.25%
Type
  Tax preparer or accountant 663 33.15%
  Financial planner/advisor 565 28.25%
  Investment advisor/manager 494 24.70%
  Insurance agent/broker 441 22.05%
  Banking professional 603 30.15%
  Estate planning attorney 180 9.00%
  Other financial professional 13 0.65%

Descriptive Statistics of Indicator Variables

Variable n %
Use AI at Work
  No 1034 51.70
  Yes 966 48.30
Use AI to improve understanding of retirement savings options
  No 1110 55.50
  Yes 890 44.50
Interest in ER provided AI tools enhance financial literacy or retirement planning
  Yes 1147 21.45
  No 429 21.20
  Unsure 424 15.35
Confidence in making decisions based on AI-generated output
  Not at all confident 307 15.35
  Slightly confident 401 20.05
  Somewhat confident 634 31.70
  Very confident 443 22.15
  Extremely confident 215 10.75
Knowledge about using AI compared to your co-workers
  Much less knowledgeable 132 6.60
  Slightly less knowledgeable 215 10.75
  About the same 732 36.60
  Slightly more knowledgeable 621 31.05
  Much more knowledgeable 300 15.00
Comfort using AI tools to assist with financial decision making
  Not at all comfortable 494 24.70
  Not too comfortable 930 46.50
  Somewhat comfortable 347 17.35
  Very comfortable 229 11.45

Predicted AI Demand Latent Class Probabilities

Class Probability (%) S.E.
1 18.87 0.015
2 27.71 0.023
3 9.13 0.022
4 13.48 0.029
5 30.8 0.038

Financial Advice Sources and AI Retirement Tool Preferences by Latent Class

Variable Class
1 2 3 4 5
Financial Service Use
  Tax prep (CPA) 38.06 39.49 22.16 34.57 27.41
  Uses financial planner (CFP) 50.66 44.42 5.68 13.99 13.02
  Uses investment advisor (WMCP) 45.14 40.77 2.27 7.82 11.64
  Uses insurance agent/broker 30.97 31.81 7.39 15.23 15.16
In-Plan AI Retirement Tool Preference
  Estimating retirement income needs 53.02 50.09 25.30 46.50 53.91
  Track progress toward retirement goals 60.37 55.76 23.30 44.44 52.68
  Investment advice or rebalancing recommendations 61.42 56.12 10.80 25.10 43.64
  Tax-efficient withdrawal strategies 46.98 51.37 10.23 32.51 40.89

Goodness of Fit Statistics for Latent Class Models

Model ll(null) df AIC BIC entropy
Two class −13341.9 35 26753.84 26949.87 0.817
Three class −13011.3 53 26128.57 26425.41 0.768
Four class −12846.5 71 25835.03 26232.7 0.758
Five class −12812.9 88 25801.83 26294.71 0.742

Demographics by Latent Class

Demographic Characteristics Class 1 (%) Class 2 (%) Class 3 (%) Class 4 (%) Class 5 (%)
Age 18–34 50.92 47.35 29.55 27.16 42.11
35–44 28.08 34.00 35.23 39.92 34.92
45–64 20.21 18.10 32.95 30.45 21.13
65+ 0.79 0.55 2.27 2.47 1.84

Gender Female 51.71 52.10 80.11 80.25 65.70
Male 48.29 47.90 19.89 19.75 34.30

Education High school or less 9.45 6.22 18.18 12.35 14.40
Trade/Vocational school/Associate's degree 10.50 13.71 19.89 12.35 16.85
Some college, no degree 7.87 9.14 13.07 9.47 12.10
College graduate (4-year degree) 43.04 40.59 24.43 25.51 21.29
Postgraduate work 8.66 7.13 1.70 5.76 4.90
Graduate/Professional Degree 20.47 23.22 22.73 34.57 30.47

Marital Status Married 60.37 57.59 41.48 48.56 52.68
Divorced/Separated 2.10 4.02 17.05 11.11 5.51
Living w/a partner 7.09 4.94 8.52 9.88 8.12
Single, never married 30.45 32.54 30.11 28.81 32.31
Widowed 0.00 0.91 2.84 1.65 1.38

Race White 73.75 80.07 76.14 80.25 74.27
Black 20.47 13.53 13.64 11.93 17.76
Asian American 1.57 3.47 2.84 2.47 3.83
Native American 3.15 0.91 0.00 3.29 1.68
Other 1.05 2.01 7.39 2.06 2.45

Ethnicity Hispanic 18.64 14.81 11.36 9.05 11.64
Non-Hispanic 81.36 85.19 88.64 90.95 88.36

Dependent Yes 48.56 52.10 40.91 45.68 48.55
Children No 51.44 47.90 59.09 54.32 51.45

Financial Characteristics

Household Income (in U.S. dollars) Under 20,000 3.15 2.74 13.64 5.76 8.73
20 to 34,999 4.46 3.84 18.75 11.11 7.35
35 to 49,000 6.04 5.67 16.48 9.88 12.40
50 to 74,999 12.34 19.56 19.32 20.16 23.74
75 to 99,999 30.18 25.05% 14.77 24.28 17.61
100 to 149,999 8.92 14.26 10.23 16.87 14.09
150 to 199,999 13.39 10.05 5.68 5.76 7.66
200 to 249,999 11.81 10.97 0.57 4.53 5.05
Over 250,000 9.71 7.86 0.57 1.65 3.37

Financial Professional Use

Work with one or more financial professionals? Yes 71.39 69.84 15.34 24.69 16.08
No 28.61 28.15 77.84 65.02 75.19
Unsure 0.00 2.01 6.82 10.29 8.73

Type of financial professional used in the last 12 months Tax preparer or accountant 38.06 39.49 22.16 34.57 27.41
Financial planner/advisor 50.66 44.42% 5.68 13.99 13.02
Investment advisor/manager 45.14 40.77 2.27 7.82 11.64
Insurance agent/broker 30.97 31.81% 7.39 15.23 15.16
Banking professional 46.98 43.51 13.07 14.81 19.45
Estate planning attorney 16.80 13.53 1.14 3.29 4.90
Other financial professional 0.26 0.18 1.70 1.23 0.77

Mean Proportion of Class Belonging

Conditional Probability (%)
Variable 1 2 3 4 5
Uses AI at Work
  Yes 75.4 64.1 9.2 29.2 37.4
AI for Financial Decision Making
  Very comfortable 76.4 22.7 0.1 0.5 12.7
  Somewhat comfortable 22.4 74.3 8.3 14.9 61.4
  Not too comfortable 1.2 3.0 19.5 57.8 21.9
  Not at all comfortable 0.0 0.0 72.1 26.8 4.1
Used AI for Retirement Planning
  Yes 95.5 79.8 3.8 2.5 12.1
Interest in Employer-Provided AI tools
  Yes 87.0 85.4 8.8 19.2 45.0
  No 10.9 11.2 52.8 30.8 23.8
  Unsure 2.1 3.4 38.4 50.0 31.2
Currently Uses a Financial Advisor
  Yes 72.0 66.2 15.4 23.5 18.8
  No 28.0 31.6 77.2 66.2 72.8
  Unsure 0.0 2.1 7.4 10.3 8.4
Confident Decision Making Using AI
  Not at all confident 0.0 0.7 89.5 39.9 5.2
  Slightly confident 3.8 20.8 3.5 41.5 24.9
  Somewhat confident 4.9 43.6 2.7 18.3 51.8
  Very confident 42.7 34.3 2.2 - 14.2
  Extremely confident 48.6 0.6 2.1 0.3 3.8
AI Knowledge vs. Co-workers
  Much less knowledgeable 0.8 0.3 53.3 6.8 2.0
  Slightly less knowledgeable 0.7 11.3 4.1 26.5 11.4
  About the same 4.8 30.1 33.2 58.5 53.3
  Slightly more knowledgeable 28.3 57.0 6.5 7.3 27.0
  Much more knowledgeable 65.4 1.2 2.9 0.9 6.3