Last Update: 2/17/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
They help people manage their money by giving advice on how to pay off debts and improve their credit scores.
This role is changing fast
Credit counselors are labeled as "Changing fast" because many of their routine tasks, like calculating budgets and suggesting savings plans, can now be done quickly by AI tools and apps. These technologies promise faster and cheaper services, which could lead to fewer job opportunities in this area.
Read full analysisLearn more about how you can thrive in your career
Learn more about how you can thrive in your career
This role is changing fast
Credit counselors are labeled as "Changing fast" because many of their routine tasks, like calculating budgets and suggesting savings plans, can now be done quickly by AI tools and apps. These technologies promise faster and cheaper services, which could lead to fewer job opportunities in this area.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Credit Counselors
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Today many credit-counseling tasks already use software or assistance. For example, simple math jobs like figuring out monthly budgets or payoff time can be done by calculators and budgeting apps, and advanced chatbots can even help. New AI helpers (like Cash App’s “Moneybot”) can scan spending, suggest savings plans, or spot ways to cut expenses within seconds [1].
Some startups now offer AI debt-negotiators: apps that analyze your debts and even send settlement offers to banks [2]. These tools promise faster, cheaper service, but they’re still new. Experts warn AIs often miss complex details – they struggle if you have many creditors or odd situations – and they lack legal licensing [2].
As one article explains, human negotiators use experience and empathy that bots don’t yet have [2].
Other counseling tasks need personal judgment and trust. AI can explain basic financial facts and even help Spanish-speaking clients navigate mortgages (for example, a bilingual chatbot helped loan officers find mortgage options and explain paperwork to Hispanic homebuyers [1] [1]). But counselors point out that these systems must be carefully checked, and they “don’t replace the human element of professionalism” [1].
In short, computers can handle routine calculations and quick tips, but many clients will still need a person to listen, adjust plans for life changes, and explain tricky issues. Panelists agree that skills like empathy and understanding actually make counselors valuable: “humans right now are just way better…on the social and emotional [level]” than AI [3].

AI in the real world
AI tools are spreading in finance, but credit counseling may adopt them more slowly. On one hand, many AI services are now available: budgeting bots, robo-advisors, or chatbots for financial Q&A. In fact, a recent survey found 37% of UK financial advisers now use some AI in their work [4].
If credit counseling agencies can afford the technology, AI could speed up paperwork (calculating budgets, tracking payments) and let counselors serve more people for lower cost. This economic benefit could push adoption.
On the other hand, credit counseling relies on trust and human contact. People with money problems often prefer talking to a person, not a machine, and regulators are cautious – new AI debt tools aren’t bound by debt-relief laws the way accredited counselors are [2] [1]. Many consumers would feel uneasy if an algorithm handled their life-stress debt plan.
As experts note, public worry is real: one survey saw “deep unease” about AI taking jobs [3]. In short, credit counseling may see gradual AI use over time – perhaps first for simple tasks – but the most important work (personal advice, empathy, complex decisions) will likely stay with human counselors for the foreseeable future [3] [1].

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Median Wage
$50,480
Jobs (2024)
31,800
Growth (2024-34)
+3.3%
Annual Openings
2,200
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Disburse funds from client accounts to creditors.
Create action plans to assist clients in obtaining permanent housing via rent or mortgage programs.
Review changes to financial, family, or employment situations to determine whether changes to existing debt management plans, spending plans, or budgets are needed.
Explain general financial topics to clients, such as credit report ratings, bankruptcy laws, consumer protection laws, wage attachments, or collection actions.
Interview clients by telephone or in person to gather financial information.
Conduct research to help clients avoid repossessions or foreclosures or remove levies or wage garnishments.
Prepare written documents to establish contracts with or communicate financial recommendations to clients.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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