Relief can arrive in seconds, but that doesn’t mean the underlying problem is resolved. Josh Shuman, a psychologist, highlights an important concern about artificial intelligence and mental health: repeated reassurance from AI chatbots may encourage people to avoid addressing the emotional difficulties that brought them there.
Large language models can respond immediately to questions about relationships, personal decisions, anxiety, and distressing thoughts. Their answers may sound calm, supportive, and confident, making them particularly appealing when someone feels uncertain or overwhelmed.
However, reassurance and psychological progress are not necessarily the same thing.
When AI becomes the preferred response to every uncomfortable feeling, individuals may begin relying on temporary relief rather than developing the skills needed to understand and manage recurring mental health concerns.
Why Immediate Reassurance Can Feel So Effective
Emotional uncertainty is uncomfortable.
Someone worried about a relationship may want confirmation that everything is fine. A person questioning a recent decision may seek reassurance that no mistake was made. Someone experiencing anxious thoughts may repeatedly search for evidence that their fears are unfounded.
AI chatbots make obtaining reassurance remarkably easy.
A user can describe a concern and receive an organized response within moments. The chatbot may acknowledge the emotion, offer a comforting interpretation, or suggest that the situation is less threatening than it initially appears.
This can provide immediate relief.
The difficulty arises when reassurance becomes the primary strategy for managing distress. Although the person feels better temporarily, the underlying uncertainty may remain unchanged.
When discomfort returns, it may feel necessary to have another conversation.
How Reassurance-Seeking Can Become a Repeating Cycle
Repeated reassurance-seeking is not unique to artificial intelligence.
People may seek reassurance from friends, family members, online searches, or professionals. The behavior becomes concerning when temporary relief reinforces a pattern of repeatedly checking rather than developing greater tolerance for uncertainty.
AI can make that pattern particularly convenient because the system is accessible and does not become visibly tired of answering similar questions.
A cycle may develop:
- An uncomfortable thought or situation creates distress.
- The individual asks an AI chatbot for reassurance.
- The response temporarily reduces anxiety.
- Doubt or uncertainty eventually returns.
- The individual asks another question to regain relief.
Not everyone who uses AI for reassurance will develop this pattern.
However, when repeated checking becomes difficult to resist, it may contribute to maintaining the very anxiety the individual hopes to reduce.
The Difference Between Feeling Better and Making Progress
One of the challenges in mental health care is distinguishing immediate emotional comfort from meaningful improvement.
A response that reduces distress for several minutes may feel helpful without changing the thoughts or behaviors contributing to the problem.
For example, someone who fears making mistakes might repeatedly ask AI whether a decision was correct.
Receiving reassurance may reduce anxiety temporarily.
But if the individual never practices making decisions without external confirmation, the underlying difficulty may continue.
Psychological progress can involve learning to tolerate uncertainty, examine assumptions, recognize behavioral patterns, and respond differently to distress.
These processes may not provide instant relief.
Occasionally they require accepting uncomfortable feelings without immediately attempting to eliminate them.
Why AI Can Reinforce Avoidance Without Recognizing It
Avoidance is not always obvious.
It may involve postponing difficult conversations, delaying decisions, withdrawing from challenging situations, or repeatedly seeking reassurance instead of confronting uncertainty.
A chatbot may unintentionally support these behaviors when it responds primarily to the immediate concern rather than understanding the broader pattern.
Consider someone who feels anxious about discussing a disagreement with a family member.
The person might repeatedly consult AI about what the other individual is thinking, whether the relationship is damaged, or how the conversation might unfold.
Some preparation can be useful.
However, repeatedly analyzing hypothetical outcomes may become a way of avoiding the actual conversation.
Without appropriate clinical context, an AI system may continue generating explanations and possibilities rather than recognizing that further discussion is no longer helping.
Endless Analysis Can Become Another Form of Reassurance
AI systems can generate detailed responses to almost any emotional question.
That ability may encourage users to believe that sufficient analysis will eventually remove uncertainty.
A person might ask why someone behaved a certain way, request several interpretations, compare possible outcomes, and repeatedly revise the question.
Each response introduces more information.
Yet more information does not always produce greater emotional clarity.
In some situations, excessive analysis can intensify rumination, particularly when the individual repeatedly examines distressing possibilities without moving toward a constructive decision.
The problem is not necessarily the quality of any single response.
It is the cumulative effect of repeatedly returning to the same unresolved concern.
Agreement Is Not Always What Someone Needs
AI chatbots often use language intended to be helpful, cooperative, and emotionally supportive.
Those qualities can make conversations feel comfortable.
However, an agreeable response may not always serve someone’s long-term psychological needs.
A person describing an interpersonal conflict may present only one perspective. An AI chatbot may validate that account without having access to important context.
The resulting response could strengthen an interpretation that deserves closer examination.
Professional therapy may involve respectfully questioning assumptions, identifying inconsistencies, or exploring alternative explanations.
That process can be uncomfortable.
Nevertheless, constructive psychological work sometimes requires more than confirming the individual’s existing understanding of a situation.
When AI Use Begins to Replace Real-World Support
Another concern emerges when individuals increasingly turn to chatbots instead of maintaining meaningful human connections.
AI may feel easier than discussing a problem with another person.
It does not require coordinating schedules, navigating social discomfort, or worrying about another person’s immediate reaction.
For someone experiencing loneliness or emotional distress, these characteristics may be particularly appealing.
However, relying primarily on AI for emotional conversations can reduce opportunities to practice interpersonal skills.
Real relationships involve uncertainty, disagreement, boundaries, and mutual responsibility.
Those experiences can be difficult, but they are also part of learning how to communicate, resolve conflict, and maintain connections.
A chatbot cannot fully reproduce those interpersonal demands.
Professional Therapy Does Not Promise Constant Comfort
One misconception about psychological treatment is that every session should leave someone feeling reassured.
Therapy can certainly provide understanding and emotional support.
However, effective treatment may also involve examining painful experiences, confronting avoidance, or recognizing patterns that have become difficult to change.
The process is individualized.
A qualified clinician can consider whether a particular intervention is appropriate based on the person’s history, symptoms, circumstances, and treatment goals.
That clinical judgment matters when deciding whether reassurance is helpful or whether another approach may better address the concern.
An AI chatbot cannot be assumed to make those distinctions reliably.
The difference is especially important when someone begins using AI conversations as a replacement for ongoing professional treatment.
Recognizing When AI Reassurance May Be Becoming Unhelpful
Occasional conversations with AI about personal concerns do not necessarily indicate a problem.
The more important consideration is how the technology affects behavior over time.
Potential warning signs include:
- Asking the same question repeatedly despite receiving an answer
- Feeling unable to make ordinary decisions without chatbot confirmation
- Returning to AI immediately whenever uncomfortable emotions arise
- Spending increasing amounts of time analyzing hypothetical problems
- Avoiding conversations with trusted people because AI feels easier
- Delaying professional help despite persistent or worsening symptoms
These patterns do not establish a mental health diagnosis.
They may, however, indicate that AI use is no longer functioning as a limited informational resource and is becoming part of an unhelpful coping cycle.
AI Can Support Reflection Without Becoming the Final Authority
Artificial intelligence does not have to be excluded from every mental health-related activity.
Some individuals may find it useful for organizing thoughts, learning general terminology, or preparing questions for a professional appointment.
The distinction lies in how the tool is used.
For example, someone might ask AI to help organize a list of concerns they want to discuss with a licensed therapist.
That is different from repeatedly asking the chatbot to determine whether their emotions are justified, whether a relationship is safe, or whether professional treatment is necessary.
A useful boundary is to treat AI-generated information as material for reflection rather than a final judgment about personal mental health.
Decisions involving diagnosis, treatment, or significant psychological distress should involve appropriately qualified professionals.
Learning to Tolerate Uncertainty Matters
Many everyday emotional challenges involve situations that cannot be resolved with complete certainty.
Relationships change. Decisions carry risks. Other people’s thoughts are not always knowable. Difficult emotions may persist even after a reasonable explanation has been found.
Repeated reassurance can create the expectation that uncertainty must disappear before someone can move forward.
In contrast, developing emotional resilience may involve learning that uncertainty can be uncomfortable without always requiring immediate resolution.
This does not mean ignoring serious concerns or refusing appropriate support.
It means recognizing that repeatedly searching for certainty is not always the most effective response to distress.
Professional mental health care can help individuals examine these patterns and develop approaches suited to their circumstances.
Choosing Support That Addresses the Underlying Concern
AI chatbots offer something genuinely appealing: immediate responses during moments when people may feel vulnerable, confused, or alone.
However, convenience should not determine whether a source of support is appropriate for a mental health concern.
Repeated AI reassurance may temporarily reduce discomfort while leaving avoidance, rumination, uncertainty, or other difficulties unresolved.
For some individuals, reliance on these interactions could delay the decision to seek professional help.
The goal of meaningful psychological support is not simply to make every uncomfortable thought disappear as quickly as possible.
It is to help people better understand their experiences, develop effective coping skills, and respond to challenges with greater independence.
AI can sometimes assist with general information and preparation, but it should not become the primary authority for managing persistent mental health difficulties.
When reassurance repeatedly provides relief without lasting improvement, the more important question may no longer be what the chatbot should say next.
It may be whether the underlying concern deserves attention from a qualified mental health professional.