Why the Best Career Coaches Are Also Life Coaches

Woman smiling across desk'

Years of practice taught me what no textbook could

Rob on Zoom call with client

Early in my coaching practice, a client came to me with what sounded like a straightforward request: help me find a better job. He was 63 years old, recently retired from a distinguished career in risk management, and deeply miserable. On paper, he had everything — credentials, experience, a new position he had landed within days of leaving his previous role on the strength of his reputation alone.


What he didn’t have was a reason to get out of bed.


That engagement taught me something I have since seen confirmed dozens of times: you cannot separate what someone does from who they are. Career coaching that ignores the person carrying the career isn’t coaching at all. It’s resume editing.


The Moment the Real Work Begins


I have a self-discovery questionnaire that I give clients before we touch their resumes or LinkedIn profiles. It asks about values, peak professional moments, what problems they find themselves solving without being asked, and where they want to be in three years — professionally and personally. I developed it so my clients can get a better understanding of themselves. It also adds to my understanding of who they are.


The client who says she needs interview preparation is often really saying: “I’ve been passed over so many times that I no longer trust myself in the room.”


The client who says he needs a resume rewrite is sometimes saying: “I’ve spent twenty years building someone else’s vision and I don’t know what mine looks like anymore.”


The client, who says she needs help targeting the right companies, occasionally says, “I need to leave my marriage, and a new job is the only path I can see to independence.”


In each of these cases, the career problem is real. But underlying it are personal issues that need to be addressed alongside career discussions. A coach who only addresses career issues cannot help clients in their careers or personal lives.


What the Textbooks Say


Abraham Maslow argued that human needs operate in a hierarchy. Safety, belonging, and self-esteem must be reasonably intact before a person can effectively pursue growth and actualization. Career coaching, at its best, is a conversation about growth and actualization. But clients don’t arrive there ready. They arrive carrying financial anxiety, fractured confidence, complicated relationships, and sometimes grief they haven’t fully named.


Maslow gives us the framework. Experience gives us the instinct for when someone is trying to climb the ladder before the foundation is secure.


I have worked with a service-connected veteran navigating PTSD alongside a career transition, a new father whose financial panic was driving him toward the wrong opportunities, a professional returning to work after years away who needed to remember who she was before she could articulate what she wanted to do, and an executive whose identity had become so fused with his title that retirement felt like erasure.


None of these were purely career problems. They were issues of identity.


My background spans counseling, social psychology, couples and relationship work, and career coaching. I facilitate intimate discussions in my personal life because I believe that examined questions — who I am, what matters, what constitutes a life well lived — are not separate from professional development. They are its foundation.


When a client can answer those questions honestly and clearly, career work accelerates dramatically.

Suddenly, the resume isn’t a list of jobs. It’s a narrative.

The interview isn’t a performance. It’s a conversation between two people trying to determine fit.

The job search isn’t a numbers game. It’s a targeted pursuit of something genuinely right.


That shift — from mechanical to intentional — only happens when life coaching and career coaching work together. One without the other produces either a polished candidate who doesn’t know what they want or a person with deep self-knowledge who can’t communicate it to a hiring manager. Neither outcome serves the client.


I don’t announce to clients that I’m doing life coaching. I simply create the space for the whole conversation to happen. Sometimes that means asking a question about a relationship that seems unrelated to the job search. Sometimes it means slowing down a client who is moving fast out of anxiety rather than clarity. Sometimes it means naming something I’ve observed — gently, carefully — that the client hasn’t yet said out loud.


Not every client needs this depth. Some genuinely do just need interview prep, or a LinkedIn overhaul, or a positioning strategy. I provide all of those things, and I’m good at them. But the clients who experience the most significant and lasting change are almost always those who were willing to look at the bigger picture.


The career is not separate from life. It is part of it. Coaching that treats them as separate disciplines does the client a disservice — regardless of how clean the resume looks.


A Final Thought


The 63-year-old executive I mentioned at the beginning eventually found his footing — not by returning to a corporate role, but by getting honest about what he had actually valued all along and building toward that instead. The career conversation we needed to have was never really about career at all.
That’s the work. And it’s the reason I believe the best career coaches are, by necessity, also life coaches — whether they name it that way or not.

Rob Kaminoff is a certified life and career coach with a background in counseling and social psychology. He works with professionals at every stage of life and career. Learn more at robkaminoff.com.

The Most Valuable AI Skill Right Now Isn’t Writing Code:

Diverse group of graduates and professionals walk toward the camera in a futuristic city with orange and blue light trails behind them.

It’s knowing which problems to solve with it — and how to connect enterprise apps to the world’s most powerful LLMs


Critical Thinking Skills

If you’ve spent the last decade mastering Python, building algorithms, and perfecting your computer science fundamentals, this might be uncomfortable to read. But if you’re a business professional, consultant, or implementation specialist who understands how enterprises actually work — pay very close attention.


Something fundamental just shifted.


This week, both Anthropic and OpenAI simultaneously announced billion-dollar enterprise professional services expansions. Not more models. Not better APIs. Services. Implementation. Deployment. The hard, human work of taking AI capability and making it actually function inside real organizations with real processes and real problems.


They didn’t announce that they need more computer scientists. They announced they need people who understand business problems deeply enough to know which ones AI can solve — and how to connect the systems that run the world’s largest organizations to the models that can transform them.


That is a different skill. And right now, it is the most valuable skill in technology.


What Is Actually Happening


For the past several years, AI adoption in enterprises has followed a familiar pattern: a company buys access to an AI model, struggles to integrate it meaningfully into its operations, and either muddles through or abandons the effort. The gap between AI capability and AI deployment has been the defining problem of the enterprise AI era.


Both Anthropic and OpenAI have decided to own that gap rather than leave it to chance. Anthropic launched a new enterprise AI services company backed by Blackstone, Goldman Sachs, and Hellman & Friedman. OpenAI launched its own deployment company, raising $4 billion from 19 investors, including TPG, Brookfield, Advent, and Bain Capital.


Anthropic’s Claude Partner Network, launched with $100 million in investment, includes Deloitte, Accenture, and PwC as founding implementation partners. OpenAI is working with Accenture, Capgemini, Cognizant, Infosys, PwC, and Tata Consultancy Services to scale enterprise deployments globally.


The message is clear: the era of AI experimentation is over. Production deployment is the new battleground — and it requires human expertise to execute.


The Skill That Actually Matters


Enterprise clients are discovering that the hardest part of AI adoption isn’t the AI. It’s the integration. It’s understanding which workflow is broken, which data is siloed, which process is costing the organization time and money — and then knowing how to connect the right LLM to solve it in a way that actually sticks.


That requires business acumen. Domain knowledge. The ability to sit across from a CFO or an operations director and translate their problem into an architecture that Claude or ChatGPT can power. And then build it.


Computer science gives you the tools. But knowing which problems to solve with those tools — and how to communicate that to the humans who own the problems — is what the market is paying for right now.


The professionals who stand to benefit most share a specific profile. They understand AI in practice, not just in theory. They have built systems that run in production, handle real data, and solve real business problems. They can work across the full implementation stack, from API integration to workflow design to stakeholder communication. And critically, they can speak both technical and business language fluently.


Dual-platform fluency across both Anthropic’s Claude and OpenAI’s ChatGPT APIs is particularly valuable. Enterprise clients want platform-agnostic implementation partners, not engineers locked into a single ecosystem.


What This Means For Your Career


If you are an AI engineer, implementation specialist, or technical professional navigating your next move, the strategic implication is straightforward: position yourself as an enterprise LLM integration specialist, not a generalist AI engineer.
That means targeting Anthropic’s Claude Partner Network firms and OpenAI’s enterprise partners directly — Deloitte, Accenture, PwC, Cognizant, Infosys, and their specialized implementation partners are all actively building integration practices right now. It means leading every conversation and every application with business outcomes — the problems you solve — rather than the technology you use. And it means building your LinkedIn presence around implementation expertise, not coding skills. The people making hiring decisions at these organizations are not looking for the best programmer in the room. They are looking for the person who can walk into a Fortune 500 company and make AI actually work there.


The Broader Lesson


What Anthropic and OpenAI are doing reflects something important about where value is being created in the AI economy. The model layer is increasingly commoditized — what differentiates outcomes is implementation. The organizations and individuals who can bridge the gap between frontier AI capability and real-world enterprise deployment will define the next phase of this industry.


The professionals who position themselves correctly right now — who build the right skills, tell the right story, and target the right opportunities — have a window that will not stay open indefinitely.


The enterprise AI gold rush has officially started. The question is whether you are positioned to benefit from it.

Sources

  1. “Anthropic and OpenAI are both launching joint ventures for enterprise AI services” — TechCrunch, May 2026 https://techcrunch.com/2026/05/04/anthropic-and-openai-are-both-launching-joint-ventures-for-enterprise-ai-services/
  2. “OpenAI, Anthropic expand services push, signaling new phase in enterprise AI race” — CIO, May 2026 https://www.cio.com/article/4167787/openai-anthropic-expand-services-push-signaling-new-phase-in-enterprise-ai-race.html
  3. “Anthropic’s enterprise offering” — Anthropic official https://www.anthropic.com/product/enterprise
  4. “Anthropic’s Claude Partner Network” — Vantage Point, 2026 https://vantagepoint.io/blog/sf/anthropic/enterprise-ai-tiers-explained
  5. “OpenAI and Accenture Accelerate Enterprise Reinvention with Advanced AI” — Accenture Newsroom, December 2025 https://newsroom.accenture.com/news/2025/openai-and-accenture-accelerate-enterprise-reinvention-with-advanced-ai
  6. “Scaling Codex to enterprises worldwide” — OpenAI, May 2026 https://openai.com/index/scaling-codex-to-enterprises-worldwide