As a Senior Disability Inclusion Advisor who has been conducting Disability Inclusion Academies, I have observed something interesting in recent trainings. Whenever a question is asked, some participants quickly turn to AI. In group work presentations, I have also seen responses that are clearly AI-generated. The answers are often neat, well-structured, and sometimes even impressive. They define disability inclusion well and mention accessibility, reasonable accommodation, participation, non-discrimination, and inclusive programming. On the surface, they sound correct.
This has made me reflect deeply on the future of Disability Inclusion Advisory Services. If AI can answer many of the questions we used to answer, what then remains for us as human advisors? How do Disability Inclusion Advisors remain relevant and valuable in this changing world of work? More importantly, how do we use our added advantage, especially lived experience, to support development partners in becoming genuinely disability inclusive?
I am writing this article to share my reflections with fellow Disability Inclusion Advisors. I do not see AI as an enemy. I see it as a tool. It can support us, speed our work, help us prepare, and even challenge us to sharpen our thinking. But AI should not replace the deeper human work that makes disability inclusion meaningful. Our value is not simply in giving answers. Our value is in helping people understand, feel, own, and act on those answers.
AI can define disability inclusion, explain the social model of disability, draft a Disability Inclusion Action Plan, prepare a training outline, generate a checklist for accessible meetings, and summarize a policy. It can even provide examples of reasonable accommodation in education, employment, agriculture, or digital work. These are useful contributions. A Disability Inclusion Advisor who completely ignores AI may miss an important opportunity to work more efficiently.
But AI cannot walk into a room and read the silence. It cannot notice when a program manager is uncomfortable discussing disability. It cannot sense when a partner is using polite language to hide institutional resistance. It cannot observe that a young person with a disability in the room is present but not participating because the facilitation method is not accessible. It cannot feel the difference between a partner who is genuinely committed and one who is only complying because a funder has asked for disability inclusion.
That is where the human advisor remains irreplaceable.
In my work, I have learned that disability inclusion is rarely blocked by a lack of information alone. Many organizations now know the right words. They know that persons with disabilities should be included. They know that reasonable accommodation is important. They know that accessibility matters. They know that policies should not discriminate. The real gap is often in the “how.”
How do we identify young persons with disabilities in rural areas without turning them into project symbols? How do we make a training accessible when the budget was prepared without reasonable accommodation? How do we support a Deaf participant when no sign language interpreter was planned for? How do we convince senior management that disability inclusion is not charity, but a matter of rights, quality, reach, and institutional performance? How do we ensure that persons with disabilities are not only counted in reports but also meaningfully shaping decisions?
AI can provide a list of options. A human advisor helps the organization choose options that are realistic, ethical, affordable, and contextually appropriate. That is advisory work.
This is why Disability Inclusion Advisors must stop seeing themselves only as people who answer technical questions. In the age of AI, the strongest advisor will be the one who can diagnose the real problem behind the question. When a partner says, “We need disability awareness training,” the immediate response should not always be to prepare slides. The advisor should pause and ask: What is really happening here? Is the problem attitude? Is it recruitment? Is it inaccessible communication? Is it fear of cost? Is it weak leadership? Is it a lack of disability data? Is it tokenistic participation? Is it a lack of confidence among staff?
The question asked is not always the real issue. Human advisors must become skilled at uncovering the issue beneath the surface.
There is also something powerful about lived experience. In this era of AI, those with lived experience, when used properly, will provide support that truly makes sense. Lived experience is not just a personal story. It is a form of knowledge. It helps us understand how systems are experienced from the other side. It allows us to see what others may not. It gives texture to technical advice.
For example, AI may say, “Provide information in accessible formats.” That is correct. But a Deaf advisor, or an advisor who has worked closely with Deaf communities, may ask deeper questions. Is the information available in sign language? Is the sign language culturally and linguistically appropriate? Who translated it? Was it tested with Deaf users? Is the video visually clear? Are the captions accurate? Is the platform affordable to access? Does the community trust the source? These details determine whether an intervention is truly accessible or only appears accessible on paper.
The same applies to other impairments and lived realities. A wheelchair user may immediately notice that an “accessible venue” has a ramp that is too steep. A person with a visual impairment may know that a digital platform is technically online but impossible to navigate with a screen reader. A person with a psychosocial disability may recognize that a program environment is full of pressure, stigma, and silence, even when the policy says inclusion is valued. A parent of a child with a disability may understand the hidden costs of participation in ways that a checklist cannot capture.
This does not mean that only persons with disabilities can advise on disability inclusion. It means that disability inclusion advice is stronger when it is informed by lived experience, respectful proximity, humility, and the meaningful participation of persons with disabilities. AI can generate content about inclusion. Human advisors, especially those grounded in lived experience and community realities, can help partners understand what inclusion feels like in practice.
Another area where human advisors have a strong advantage is in relationship-building. Disability inclusion is not implemented by documents alone. It is implemented by people. People need to trust the advisor. They need to feel safe enough to admit what they do not know. They need to be challenged without being humiliated. They need to see disability inclusion not as an external demand but as part of their own institutional responsibility.
AI cannot build long-term trust with an OPD leader, a university disability focal person, a government officer, a program manager, or a young Disability Inclusion Facilitator. AI cannot sit with a partner after a difficult meeting to help them find a way forward. AI cannot mentor a young person with a disability who is preparing to facilitate their first session. AI cannot negotiate gently with a senior manager who fears that inclusion will be too expensive. These are human tasks.
This is why the future Disability Inclusion Advisor must be a facilitator of change, not merely a trainer. Training remains important, but training alone does not create inclusion. Many organizations have been trained several times yet remain inaccessible. Change happens when training is connected to planning, budgeting, leadership, accountability, implementation, and follow-up.
A good advisor helps partners move from awareness to action. This includes supporting them in developing realistic Disability Inclusion Action Plans, costing reasonable accommodations, reviewing recruitment systems, improving data collection, engaging OPDs, making communication accessible, redesigning services, and monitoring progress. It also means returning to the same partner after the training excitement has worn off and asking, respectfully but firmly, “What has changed?”
In the age of AI, Disability Inclusion Advisors should also become more sector-specific. General disability inclusion knowledge is now easy to find. What partners need is practical guidance tailored to their sector. Inclusion in higher education is not the same as inclusion in agriculture. Inclusion in the digital economy is not the same as inclusion in health services. Inclusion in the creative arts is not the same as inclusion in financial services. Each sector has its own actors, barriers, opportunities, risks, and language.
A strong advisor should be able to say, “This is how disability inclusion works in your sector. This is where exclusion typically occurs. This is what you can change immediately. This is what requires budget. This is what must be built into your systems. This is how to meaningfully involve persons with disabilities. This is how to measure whether progress is real.”
That level of practical guidance does not come from copying an AI response. It comes from field experience, observation, listening, testing, failing, adapting, and learning with partners.
I also believe that human advisors must strengthen their evidence and accountability. The future will not reward advisors who only speak beautifully about inclusion. It will reward those who can demonstrate change. Partners need support to answer key questions: Who was reached? Who was left out? What changed in the budget? What changed in recruitment? What changed in communication? What reasonable accommodations were provided? What did persons with disabilities say about the support? What barriers remain? What has become institutional practice rather than a project activity?
AI can help us organize evidence, write reports, and summarize findings. But the advisor must know which evidence matters, how to collect it ethically, how to interpret it, and how to use it to influence decisions. Evidence must not only satisfy reporting requirements. It must also help organizations learn and improve.
The point is not that AI is weak and humans are strong. That would be too simplistic. AI excels at speed, structure, language, and access to general information. Human advisors excel at judgment, trust, lived experience, ethical reasoning, facilitation, and contextual adaptation. The best Disability Inclusion Advisor will know how to combine both.
Use AI to prepare better. Use it to draft, compare, simplify, summarize, and generate ideas. But do not let AI replace your thinking. Do not present AI-generated answers without testing them against lived reality. Do not let partners believe that producing a document means inclusion has happened. Inclusion is not a document. Inclusion is a change in power, practice, access, attitude, systems, and accountability.
For Disability Inclusion Advisors, the challenge before us is clear. We must move beyond being information providers. We must become trusted companions in institutional change. We must help development partners translate commitment into practice. We must use our lived and professional experience, along with our relationships, to make disability inclusion real, not decorative.
AI can generate knowledge. Human advisors create movement. AI can produce answers. Human advisors help people care about the answers, own them, adapt them, and act on them. AI can draft a plan. Human advisors help make the plan politically feasible, ethically grounded, practically implemented, and accountable to people with disabilities.
That is where our relevance lies.
In this new world of work, the Disability Inclusion Advisor who remains valuable is not the one who fears AI. It is the one who uses AI wisely while becoming even more human in their practice: more observant, more ethical, more grounded, more relational, more practical, and more accountable to the people with disabilities whose lives and rights are at the center of this work.