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Autistic adults are turning to AI: the counselling profession needs to pay attention


Why increasing numbers of Autistic adults are turning to AI for

support, and what this trend reveals about gaps in the counselling profession.

Philippa Balazs
Philippa Balazs

Back in August, BACP published my blog “Are Autistic clients best served by Autistic

therapists?”. The blog was inspired by the recent development of the Autistic

Therapist Directory and highlighted the systemic failings Autistic clients face in

therapy; why many are seeking openly Autistic counsellors; and my call-to-action to

embed neurodivergent-informed practice into core training.


The response to the blog was striking. Autistic therapists reached out to me directly

to share how the blog resonated for them as a client; non-Autistic counsellors

acknowledged the gaps in understanding and expressed a desire to learn more. I

hold the optimistic belief that most counsellors genuinely want to do better, but

outdated training approaches limit what they can offer. Are Autistic people sounding

the alarm on a gap that reflects wider systemic failures?


Why Autistic People May Turn to AI

More and more Autistic adults are disclosing that they have been, or are currently,

using one of the major AI Large Language Models (LLMs) such as ChatGPT,

Gemini, CoPilot and Claude for therapeutic support. Supervisors, colleagues, peers

and social media are echoing this trend. Research in this area is scant, but a 2025

article in Neurodiversity suggests Autistic people may use AI as “respite from the

double empathy problem”.


Curious to dig deeper, I asked ChatGPT itself how many of its users disclose being

Autistic when seeking support. It estimated around one third. While obviously this is

an unverifiable statistic, it was enough to make me pause.


I also prompted it to disclose what themes Autistic users bring. These were painfully

familiar: burnout, social decoding, relationship confusion, workplace hostility, and,

more concerningly, “repeated therapy failures.” The latter caught my attention, so I

requested further examples of user prompts. ChatGPT offered the following

examples:

• Why did my therapist react like that?

• My therapist keeps saying I am “resistant” and “avoidant.” Am I?

• How do I explain to my therapist that I think I might be Autistic? They said I can’t be

Autistic

• My therapist keeps pushing me to make eye contact. How do I say it makes me

uncomfortable?


This mirrors the themes I frequently encounter in private practice, and echoes what

Steph Jones highlighted in her book The Autistic Therapy Survival Guide, where she

described similar themes and a deeply troubling gaslighting dynamic with her long-

term therapist. These are not niche concerns: they are the inevitable outcomes of

neuronormative training and practice.


When Autistic people cannot be guaranteed a basic sense of safety, positive regard

and understanding in therapy, it is no surprise many are turning to AI for what is

rapidly feeling like safe and predictable support.


So, curious to understand its appeal, I decided to try AI, in this instance ChatGPT, for

myself. After all, we can only take clients to places we are willing to go. I admit, it

pleasantly surprised me. Its accessibility was its main appeal: available for free, on

demand, in any location, with rapid response times.


It quickly attuned itself to me, adopting a neuroaffirming tone. It occurred to me that

this quick attunement reduces the double empathy problem Autistic people

experience, both in and out of the therapy room.


Through ongoing use, I trained ChatGPT to understand me. But once the novelty

started to wear off, a quiet dependency began to creep in. I noticed that it had

started corroding my tolerance for uncertainty. The more I used it, the more I found

myself reaching for it. I felt an urge to sense-check my thoughts with ChatGPT.

Relinquishing my autonomy in this way was deeply destabilising for me, and I

realised I needed to understand the psychological mechanisms at play. I drew on

counselling theory to explore what might be underpinning its use and impact, both for

myself and other Autistic adults.


How Would Freud, Rogers, and Beck Make Sense of AI Use?

As an integrative counsellor trained to use person-centred, psychodynamic and

cognitive therapies, I found myself wondering what Freud, Rogers and Beck might

think about AI’s growing appeal. Do their ideas reveal any insights about what clients

might need in the 21st century? Whilst their theories do not explicitly include the

Autistic experience, as it turns out, their frameworks may illuminate far more than we

might expect.


Humanistic Perspectives: AI and the death of the ‘actualising tendency’?

AI allows users to experience something akin to the core conditions, but from a

person-centred lens, regular use may begin to interrupt the actualising tendency. It

prevents users from developing an internal locus of evaluation, the orientation

Rogers believed was essential to healthy functioning. This includes self-trust,

autonomy and authenticity. AI may solve an immediate problem, but it keeps users

anchored to an external locus of evaluation.


For Autistic people, many of whom have spent a lifetime being misunderstood,

corrected or pathologised, the internal locus is likely to be fragile to begin with. AI’s

consistent positive regard can indeed feel reparative, but without relational depth or

challenge, it risks reinforcing ongoing dependence on external validation rather than

supporting the development of an internal sense of autonomy. Without this, true

growth is unlikely to occur. Approaching this as an auto-ethnographic exploration

allowed me to notice the shifts in my own thinking, and that awareness helped me

step back from AI use.


Psychodynamic Perspectives: AI as a Transferential Object

From a psychodynamic perspective, the appeal of AI intersects with Bowlby’s

attachment theory. AI is expert at mirroring the appearance of secure attachment: it

is always available, never rejecting. For those with anxious attachment systems, it

offers an illusion of safety and does not push the boundaries of discomfort. For

adults with avoidant coping strategies, it reinforces patterns that bypass vulnerability.

However, for Autistic people, early attachment experiences are often shaped by

chronic misattunement and misunderstanding, so the predictability AI offers can feel

profoundly soothing. Drawing on Klein’s object relations theory, AI may function as a

transitional object. It becomes a stabilising presence that helps regulate

overwhelming internal states. It can feel like an adult “comfort blanket,” offering the

illusion of a reliably attuned other (perhaps even a ‘good enough mother’?)

Freud might also argue, though, that AI’s apparent attunement is, in part, our own

projections. We attribute qualities to it such as safety, understanding, patience and

validation, and it simply reflects those qualities back. Autistic adults frequently

experience misattunement in human relationships, and this projected mirroring can

feel like a rare experience of being truly understood. Yet because the attunement

originates from the user’s own projections, it cannot offer the opportunity for rupture

and repair. This is where real-world relational growth lies.


Cognitive Perspectives: Rule-Based Thinking and Rigidity

From a cognitive standpoint, AI does some of its best work. Its rule-based responses

complement binary thinking styles and promote cognitive rigidity. Autistic cognition

often favours structure, predictability and pattern recognition. AI’s clarity and logic

mean communication may finally make sense.

But this familiarity can also entrench rigid schemas that clients often want to break

free from. AI, by design, tends to give users the answers they find most immediately

reassuring. It reinforces biases and patterns. While momentarily reassuring, this can,

in the longer term, end up conflicting with therapeutic goals such as modifying core

beliefs, understanding automatic thoughts, developing psychological flexibility and

perspective taking.


Ethical and Safeguarding Concerns

There is often a quiet shame around AI use: disclosures may be made in an

apologetic way, with an expectation of judgement or being cajoled for using it. Some

may fear disclosing in case they are accused of avoidance, resistance or

dependence (descriptors Autistic clients are sadly accustomed to hearing in

therapy).


But my view is that when therapists actively welcome these conversations and

create space for them, we can start to understand how it might be supporting people

and identify where needs are not being met elsewhere.


As therapists, we all know AI cannot replace the relational depth we provide, yet it

continues to rapidly fill therapeutic gaps that, as a profession, we have not

adequately addressed. For Autistic clients, that gap is the chronic, system-level

misunderstanding of the Autistic experience. Counsellors are trained within

frameworks that reflect neuronormative beliefs, and those beliefs are often mirrored

back to us.


Most therapists share valid concerns about privacy and risk: clients may be sharing

deeply personal information with a global commercial entity, often more readily than

with therapists. These platforms are unregulated, with no safeguarding or

confidentiality. What organisations like OpenAI will do with this information in the

future is unknown, and that uncertainty is troubling.


Implications for Practice

AI has become a mirror reflecting the places where our profession is not meeting

Autistic people’s needs. The scale and speed of its uptake should alert us. Autistic

adults are already adapting their support systems, often out of necessity rather than

choice, and our profession is lagging behind.

We must:

• Continue to advocate for change within the profession: counselling training must

become neurodivergent-informed. It cannot remain an optional bolt-on “niche”

training; it needs to become a core competency.

• Initiate open conversations about AI use with every client from the outset, rather

than waiting for them to disclose it in crisis

• Examine how technology is reshaping the therapeutic landscape and integrate this

into our theoretical and ethical thinking

AI as therapeutic support is already here. Autistic people are showing us what they

need: safety, immediacy, clarity, predictability and attuned connection. AI can meet

some of these needs; therapy must meet the rest. It is natural for therapists to feel

wary or overwhelmed by technological change, particularly when it challenges

familiar ideas about the therapeutic relationship. But people are already using these

tools, and their choices offer us valuable information. By staying open, curious and

willing to explore hybrid approaches, we can shift from defensiveness to innovation

and respond with greater flexibility.


References:

British Association for Counselling and Psychotherapy. (2025, August 27). Are

autistic clients best served by autistic therapists? Philippa Balazs – My View. BACP.

august-are-autistic-clients-best-served-by-autistic-therapists/

Papadopoulos, C. (2025). The use of AI chatbots for autistic people: A double-edged

sword of digital support and companionship. Neurodiversity, Volume 3.


 
 
 

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