How Career Coaches Are Using AI in 2026 (Without Losing the Human Touch)

Why AI Is Transforming Career Coaching Right Now

The job market is moving faster than most people can track. Roles are morphing, industries are reorganizing, and AI is reshaping how work gets done just as people are trying to make decisions. In the middle of this, career coaching has gone from “nice to have” to “I cannot do this alone,” and the demand for support now far outstrips the hours most coaches have in a week.

At the same time, AI has moved from something “in the news” to something our clients are using every day, often without a lot of structure. They are pasting résumés into tools, asking for cover letters, and wondering whether an AI “career coach” could replace a human entirely. As coaches, we have a choice: ignore it, resist it, or learn to use it in a way that extends our reach while protecting the core of what we do.

The IACC’s view is simple: AI is leverage, not a substitute for the relationship at the center of coaching. When we use it well, AI can take on some of the repetitive, operational, and drafting work that takes our time and energy. That gives us more bandwidth for the hard, human work: helping people tell the truth about what they want, and move through the messy middle between “idea” and “offer accepted.”

What This Article Is (And Is Not)

This is not a think piece about whether AI is good or bad in the abstract. It is a grounded look at how real career coaches are actually using AI in their practices today, what is working, what still feels clunky in practice, and where the edges and ethical questions live. You will see examples pulled from my experience and from colleagues who are experimenting alongside me.

The five coaches who contributed to this article are:

• Laura Leach, MPCC, SPCC, with Meredith Consulting
• Kai A. Smith, SHRM-CP, SPCC, with Live In Purpose, LLC
• Amanda Rice, SPCC, with Amanda Rice Career Coaching
• Lisa Virtue, MPCC, SPCC, with Lisa Virtue Coaching
• Phyllis Lehman, SPCC, SPRW, with Phyllis Lehman Career Coaching

It is also not an advertisement for any specific tool or platform. Tools will change; principles will not. My goal is to give coaches and clients a clearer view of how AI can support the work without replacing the human connection that makes coaching effective in the first place. Along the way, I will share five distinct perspectives from coaches who chose a different slice of the topic: practice operations, marketing, job search strategy, fears and ethics, and an AI tools deep dive for career coaching.

How Human Career Coaches Are Using AI in Their Practice

When people hear “AI in coaching,” they often picture a chatbot giving generic advice to strangers on the internet. That is not the work I see from thoughtful career coaches who are practicing today. The coaches I talked with are using AI in specific ways that support their clients without handing the work over to a machine.

In practice, that looks like offloading some of the heavy lifting that does not actually require a human coach. For some, it is about cleaning up processes so the right tools are always at their fingertips. For others, it is about drafting content or pressure testing job search strategies before they bring options back to a client. In each case, the coach is still the one choosing the questions, setting the ethical guardrails, and deciding which ideas are worth bringing into a session.

The five coaches you will meet in this article each chose one slice of that landscape. Laura looked at practice operations and administration. Kai went deep on marketing and content. Amanda focused on job search strategy. Lisa sat with fears, ethics, and the bigger picture. Phyllis took on an AI tools deep dive. Together, their stories give a more honest picture of how AI is showing up in real coaching practices right now.

Real Use Cases: Five Career Coaches Using AI Day-to-Day

So what does AI actually look like inside a coaching practice? In this section, you will see how five coaches are weaving AI into their work, each through a specific story. This is where the abstract conversation about AI in coaching turns into something you can recognize from your own day-to-day work with clients. 

Using AI to Streamline Career Coaching Operations and Resources: Laura’s Take

As career coaches, a surprising amount of our time is not spent coaching at all. We maintain resources, links, and templates that keep our practices running. For Laura, one of her most loved assets was an eight-page list of more than 150 job boards that she had curated over a decade and shared with hundreds of clients and fellow coaches. Laura’s first big AI “ah ha” was realizing she could turn that static document into a living, searchable resource and even automate the link checking she used to delegate to a virtual assistant. In her words:

“My first AI ah-ha moment?

Throughout my recruiting and coaching years, I created a resource document that included more than 150 job boards ranging from big boards like LinkedIn and Indeed to industry-specific boards such as Dribbble and BuiltIn, and more niche boards for people with disabilities, like abilityJOBS, and for nonprofits, like Idealist. As it grew, it became a metalist, filling eight thoughtfully organized pages that were still quite a long scroll.

I must have passed around the Google document hundreds of times over the last 10 years, and everyone loved it; some coaches even added it to their websites as a free resource for job seekers. One day, I was playing around with Claude and thought, I wonder if I can make it interactive with a search bar? And that’s just what I asked Claude. My prompt: Help me reimagine this job board document so it is interactive, searchable, and organized by industry. And POOF, Job Boards Beyond LinkedIn continues to live on as a public artifact.

I asked Claude Code to check every link to make sure each one was still active and flag any that did not work, so I can investigate them, something I would have had my virtual assistant do once a year.

Knowing that I can take simple resources and turn them into something I can share and keep current through the power of AI is one less administrative burden I need to think about.”

Using AI to Unblock Job Search Networking: Amanda’s Take

For most job seekers I work with, networking is essential and still the step they avoid. It feels easier to apply online, but networking still works. Amanda’s work lives right inside that tension. She uses AI not to replace networking, but to take the guesswork out of who to contact. 

In her words:

“Networking is the fastest path to a new role. It’s typically the thing most people put off. In a world where your résumé sits in the ATS pile with three hundred others, your network gives your résumé the nudge it needs to get to the top of the pile.

Here is where most of my clients get stuck: figuring out who in their network to reach out to, especially when colleagues have moved around and they have lost touch. They know the people are there. They just don’t know where to start. And when it feels hard, people either reach out to two or three and call it done, or they skip it altogether.

LinkedIn is a starting point. You can search your connections, filter by company, and do it manually. It works. It is also slow, and you will miss people who matter.

That’s why I built an AI prompt into my coaching practice that works with Claude or ChatGPT.

LinkedIn has a feature most people do not know about: you can download your full connections as a CSV file, names, current companies, job titles, connection dates. Once a client has that file, they run it through a custom prompt I built specifically for this step. They input their target role and the types of companies they're going after. The AI outputs a prioritized list of companies where they have connections, organized by relevance to their target opportunity, with senior level contacts and peer contacts separated out.

It surfaces not only the forgotten names, but the most relevant connections to the role they want.

One of my clients used this a few weeks ago. When he went through this process, it pulled up a former manager he'd lost track of.

He reached out. They had a real conversation. That manager connected him directly with a recruiter. Two weeks later, he had an offer.

AI can remove the friction that makes most people skip networking or do it halfway. You already have the network. You just need to find the right people, who are in the right place at the right time. This is a faster way to find them again.”

Using AI for Career Coach Marketing and Content Creation: Kai’s Take

Kai works with women in Entertainment, Marketing, and Communications, where visibility and trust are everything. She uses AI as a creative assistant to show up consistently online without sounding generic or losing the lived experience that makes her work resonate.

In her words:

“I always write the content first. Whether it is a newsletter or a graphic post with career advice, everything I write comes from a personal place, something I have experienced and believe. My goal is for followers to trust me, to know I have been where they are. I use AI as a “creative assistant” because I cannot afford to lose my voice. Eventually, followers become clients or referrals. I did not spend over 20 years in my industry without earning personal lessons.

Many people use AI to write their content entirely, and it shows in their content. I do not hand AI a blank prompt and walk away. I come in with my goal, my brand, my audience, and the heart of my message. Think of it like having a writing assistant and graphic designer who work at the speed of light. I cannot totally rely on AI. It is only a tool. AI does not know what it feels like to navigate a career in Entertainment and Communications as a Black woman. But it can take what I give it and help me say it better, faster, and more polished.

My Actual Editing Process

I start with raw material: a concept, a feeling, a question I keep hearing from clients, or something from the news about the job market. For my Mid-Year Point of Purpose campaign, the core idea came from my journal. We are halfway through the year, and most people are too busy to ask if they are headed somewhere that matters. I have watched talented women run hard in the wrong direction, and I have been there myself.

I prompt AI with my brand pillars, my audience (women in Entertainment, Marketing, and Communications), my tone (direct, warm, real, not corporate), and the specific outcome I want. I also input my own first draft as a foundation. What comes back is a strong start. But then my editing process kicks in.

I read every single word. If it does not sound like something I would say in a coaching conversation, it gets rewritten. I ask two questions: Does this sound like me? Does this serve my client?

The phrase “Your feelings are not a problem. They are a signal” is mine. The closing line, “Your move,” came from me, not a prompt. The Mid-Year campaign reached 135 unique members, and many saw it more than once. LinkedIn’s algorithm only pushes content repeatedly when people stop and read. My audience lingered. That is the goal.

The comment call to action worked for three reasons: specificity, permission, and the ask. It spoke directly to women in my niche at that moment in the year, told them their quiet feeling of misalignment was not failure, and ended with a direct question that opened people up. AI helped me sharpen that call to action. My coaching instincts told me exactly which question would work. The combination of AI-assisted structure and human-centred strategy produced those numbers. Neither alone would have done it.

My Non-Negotiables

My stories are always mine. AI never generates my personal experiences. Those are non-negotiable anchors that make content real.

My client insights stay protected. I never feed client situations or specifics into any AI tool.

Everything gets my voice test. If I would not say it in a coaching session, it does not go out under my name.”

Fears, Ethics, and the Human Edge in an AI World: Lisa’s Take

Lisa spends a lot of time with clients who are already using AI in sophisticated ways and still choose to invest in coaching. Her work sits at the intersection of fears, ethics, and the big picture of where our profession is headed. She uses AI as a support tool for thinking, not as a replacement for the relational work that happens in a session, and she is clear about where she draws the line.

In her words:

“I was working with a client this morning on how AI has been helping him in his job search, and part of our discussion was how AI tools are not harming the profession of coaches but are actually helping it.

This particular client uses AI daily. In fact, he leads software engineering teams and is far more technically sophisticated than most. He uses AI to get started, to brainstorm ideas, prepare for conversations, and write out his interview stories.
And yet, he still books coaching sessions with me for high-stakes interviews and important leadership conversations.

Why?

Well, before I tell you his response, I asked my AI chatbot:

Chatbot: What I cannot do is be in a relationship with someone in the same way another human can. I also think the truth is that AI will make good coaches better. The administrative burden will decrease. Coaches will spend less time generating first drafts and more time exploring meaning. 

My client said he needs someone who has experience in the situations he is preparing for, and who knows him well enough to say, "You're underselling yourself here," or "Let us think through how this will actually land with that particular hiring manager."

For coaches who worry that AI will replace them, I offer this perspective: if your value is simply delivering information, then yes, parts of your work are already changing. But if your value lies in helping people think more clearly, act more courageously, and navigate complex decisions with greater self-awareness, the need for coaching will only increase. Because AI is also creating a craving for human connection and support.

And for job seekers worried that AI-written applications will flood the market, that has already happened. Many companies are already saying they can tell when a candidate has relied on AI too heavily. They are seeking more candidate authenticity. Those human cues matter and can open doors.

This is also where I draw the ethical line. I use AI to support my clients' thinking and their unique experiences, not replace them. We use it to brainstorm, identify themes and ideas, and prepare for interviews. We don't use it to fabricate experiences, manufacture stories that aren't true, or outsource the self-reflection that meaningful career decisions require.

Three years from now, I don't think great career coaches will spend less time with people. I predict we'll spend less time on administration and more time facilitating personal and professional transformation. 

In the age of AI, the human edge isn't disappearing. It has become an advantage.”

An AI Tools Deep Dive for Career Coaches: Phyllis’ Take

Phyllis sits close to the tools themselves. She experiments across multiple large language models and then turns what she learns into practical workflows her clients can actually use. What I appreciate about her perspective is that she does not chase novelty for its own sake. She is constantly evaluating which tools actually help clients move toward a clearer, more grounded career direction, and which ones are more hype than help.

In her words:

“When it comes to AI, all I can say is, “Whoa.” I now embrace AI with an abundance of reverence as I harness this tool for the good of my clients and my practice.

At this moment, I am concentrating on using these three: Perplexity, Claude, and ChatGPT. I use each one of these in specific ways. 

I like Perplexity for its solid research and fact based answers which they provide with references for further research and verification. I like Claude for its writing capabilities and its ability to remember and synthesize what I have fed it in the past. ChatGPT is the one I turn to first for creativity since it is the one that “hallucinates.”

AI is not infallible. In fact, it is crucial to check it several times before running with its output. So, when accuracy is not crucial, but creative meanderings and solutions are - ChatGPT is my go to. In the interest of full disclosure, I also use other LLMs as I see fit which could include Gemini, Grok, and even DeepSeek.

As with everything in my coaching practice, I teach my clients how to fish. I give them the skills they need to conduct a successful job search which they will carry into the future. In that same way, I teach them how to use AI. The ins, outs, and most current best practices.

Let me explain my process of getting to an ideal job description, the basis for all things having to do with a successful career plan.

I use AI in a layered fashion. We start with personality assessments and other tools, then feed those results into AI to identify compatible roles and job titles. Then we layer in job functions, personal values, work life balance, labor market data, and geography, refining the list until we find roles that resonate. 

I cannot adequately describe the elation of one client (and mine as coach) who opened up our session right after her deep dive into AI with these words, “Program Manager”. She knew she had found a new direction for her career.

Once we come up with the ideal or target job, the fun does not end there. We take that job description and figure out the key credentials, traits, and skills necessary to land that role. We put it into AI (this is a job for Perplexity or Claude) to check our findings. We then line up the client experience to date to see where it aligns and where there are gaps that need to be addressed. With that data, we map out a short term, medium term, and even a long term plan for achieving goals. Now the real work begins!

From here, it is not difficult to see the applications of AI for resumes, cover letters, interviews, networking, and job search strategy. There are products on the market designed to corral AI for these tasks. 

I came to AI with clear trepidation (not sure it is quite behind me), but it has become quite embedded into my practice. The key takeaway is how the process is controlled by my client and by me. We take deliberate and intentional steps to keep the human voice as well as head and heart in the process.”

Benefits of AI for Career Coaching Clients

From the client side, the benefits of AI show up in very practical ways. Clients spend less time stuck at the starting line and more time doing the work that actually moves their search forward. Instead of staring at a blank page or wondering where to begin, they can arrive with draft ideas, draft stories, and a clearer sense of what they want to talk about in session.

Clients also get more value from the time they invest in coaching and are able to maintain momentum. When AI takes on some of the basic drafting and list building, a sixty minute session can focus on judgment, nuance, and strategy. That might look like sharpening the story behind a career pivot, rehearsing a high stakes conversation with a hiring manager, or deciding where to set boundaries in a new role. Job searches often stall in the tedious parts, like tracking applications, prioritizing outreach, or updating materials for the tenth time. When clients use AI to speed up those repetitive steps, they can stay consistent from week to week instead of moving in short bursts that stop when they get tired.

Finally, AI can make high quality support feel more accessible. Someone who might not be ready or able to invest in intensive one to one work can still use AI, paired with coaching or group programs, to make meaningful progress. For others, AI extends the impact of a coaching relationship between sessions, so they feel supported every day instead of only when they are on a call. In both cases, the client is not choosing between “AI” and “a coach.” They are using both together, with clear boundaries, to make a stressful season a little more structured and a little less lonely.

Risks, Ethics, and Boundaries for AI in Coaching

For all the upside, there are real risks in how coaches and clients use AI. The first is accuracy. These tools can sound confident and still be wrong. Salary ranges, company details, and hiring norms can be outdated or simply invented. If we treat every answer as truth instead of as a first draft to be checked, we risk giving clients advice that is polished but off.

There are also questions of bias and fairness. AI systems are trained on data from the world as it is, not the world as it should be. They can reinforce existing biases about who looks like a “good hire,” what a “normal” career path looks like, or how a leader “should” communicate. As coaches, we have to notice when an AI response narrows a client’s options or discourages paths that do not fit a conventional mold, and we need to push back when that happens.

Confidentiality is another place where we need clear boundaries. Clients tell us things they would never put on the internet. If we copy and paste full stories, résumés, or sensitive details into AI tools without thinking, we can expose more than they intended to share. In my own practice, I keep a bright line. I strip out names, company identifiers, and personal details, and I only share the level of context I would be comfortable putting in an email that might be forwarded.

There is also an ethical line around what we use AI to create. Using it to brainstorm questions, summarize themes, and refine true stories is very different from using it to fabricate experience or pad a résumé with achievements that never happened. I see part of our role as coaches as protecting the integrity of the client’s story. We can help them own what is real, not manufacture something that will not stand up once they are in the role.

Finally, there is a subtler risk. When AI makes it easy to generate content, it can be tempting to outsource the reflection itself. A client might ask a tool, “What are my strengths?” instead of slowing down to notice what is true from their own life. I want the tools to support honest reflection, not replace it. That is why I am explicit with clients: AI can help you think, but it cannot do your thinking for you.

How to Choose and Use AI Tools in Your Career Coaching Practice

If you are a coach watching all of this from the outside, it can feel like there is a new AI tool every week and no clear place to begin. Most of us do not need twenty different platforms. We need a small, well chosen set of tools that match how we actually work with people. For many coaches, that starts with one or two general purpose AI models and a clear idea of which parts of the workflow they support.

When I look at tools, I start with the job to be done. Do I need help with ideas and drafting, like session summaries or outreach templates. Do I need help with organization and search, like turning a long list of job boards into something interactive. Do I need help with client facing practice, like mock interviews or difficult conversation role plays. Once I know the specific task, it becomes easier to decide whether to use a built in feature inside a platform I already have, or bring in something new.

I also pay attention to privacy and control. Before I put anything into a tool, I ask myself what data it keeps, where that data lives, and who can access it. I favor tools that allow me to turn off training on my content, that explain clearly how they use data, and that give me the option to strip out identifiers. If I cannot explain the privacy policy to a client in plain language, I do not use that tool with their information.

Finally, I build simple, repeatable workflows instead of one off experiments. For example, you might create a standard prompt and process for networking list building. You might define a consistent way you use AI to draft first pass bullet points from a client intake, or to brainstorm interview questions for a particular role. The goal is not to “do AI” in impressive ways. The goal is to set up a few reliable patterns that save you and your clients time and attention, so you both can spend more of your energy on the human parts of the work.

The Future of AI and Human Career Coaching

If the last few years are any indication, AI will not slow down. New models will appear. Existing tools will get better. More parts of the job search and hiring process will be shaped by automation. That can feel overwhelming, especially if you are a coach who did not sign up to be a technologist. It can also be an invitation to decide, calmly and deliberately, how you want AI to support your practice rather than define it.

I do not believe the future belongs to coaches who ignore AI or to tools that try to replace coaches altogether. I believe it belongs to the coaches who are willing to learn enough to use these systems well, then place them in service of deep, human work. The examples in this article are a snapshot of that future. Laura takes a static resource and turns it into a living tool for job seekers. Amanda uses AI to remove the friction from networking, so clients do not skip the step that works. Kai uses AI to keep showing up in front of her audience without losing the hard earned voice and lived experience that make her content trustworthy. Lisa partners with AI and still holds a clear ethical line about where technology stops and coaching begins. Phyllis experiments with multiple models and translates what she learns into career clarity for her clients.

Three years from now, great career coaches will still be listening closely, asking hard questions, and walking with people through inflection points in their lives. We will likely spend less time assembling lists and formatting documents, and more time helping clients sort signal from noise, interpret what AI produces, and choose paths that fit who they really are. The coaches who thrive will be the ones who can say, with integrity, “Yes, I use these tools, and here is exactly how they help us do better work together.”

For clients, the future will likely include more AI-generated content in the market and more automation in hiring. That means authenticity, discernment, and relationships will matter even more. Your story will need to sound like you. Your choices about which advice to follow will need to come from a grounded understanding of your own goals and values, not only from what a model suggests. Your network will still open doors that algorithms do not even know exist.

My hope is that as AI becomes more ordinary, coaching becomes more extraordinary. Less mysterious, perhaps, but more intentional. We have a chance to design practices where technology handles more of the repetitive work, and humans handle more of the meaning. If we do that well, the future of career coaching will not be less human. It will be more fully human, supported by tools that let us focus on what drew most of us to this work in the first place: helping people find work that fits, and offering steady support while they make that change.

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