#394: The 4 Ways Clients Will Pay for Your AI Help
If you've been paying attention to how AI is changing the freelance landscape, you've noticed something: the types of help clients need are shifting. Fast. A year ago, most conversations were about one thing: how do I keep getting hired when AI can produce a first draft (even it it's low-quality) in seconds? That's a fair question. But it's the wrong place to stop. Because underneath that conversation, something bigger is happening. Clients are recognizing they need different kinds of help. Many don't even know how to articulate what they need yet. They just know they're stuck. And the data backs this up. According to McKinsey's "State of Organizations 2026" report, 88 percent of organizations are now deploying AI in at least some part of their business. Nearly 90 percent of leaders are championing adoption as a core strategic requirement. Yet 86 percent of those same leaders admit their organizations aren't prepared to implement AI into day-to-day workflows. So leadership wants AI deployed yesterday. But teams don't have a plan to do it well. That's where you come in. In this episode, I walk through the four broad ways clients are buying AI-related help right now, so you can figure out where you fit and what you might want to offer. What You'll Learn Why the demand for AI help goes far beyond "content creation" — and what clients are actually buying now The two dimensions that shape every AI-related client need (clarity vs. capability, guidance vs. systems) The four categories of demand: strategic advisory, training and enablement, proof-of-concept builds, and implementation work Why writers are naturally suited for this kind of work, even without a technical background Why you should develop two or three of these offers, not all four How to match your strengths and interests to the categories that fit you best Key Ideas & Takeaways 1. The Opportunity Is Real, and It's Driven from the Top. Leadership across industries is mandating AI adoption, but most teams don't have a clear path to get there. Writers with systems thinking skills are well positioned to bridge that gap. 2. Two Gaps, Two Dimensions. Clients either need clarity (they don't know what to do) or capability (they can't do it themselves). Layered on top of that, some need guidance (a thinking partner) and others need systems (actual workflows and tools). Those two dimensions create four categories of demand. 3. Strategic Advisory. The client needs clarity and guidance. They're overwhelmed, don't know where to start, and need someone to assess their situation and build a plan. You're being hired for judgment, not output. This looks like paid assessments, strategy sprints, or advisory retainers. 4. Training and Enablement. The client needs capability and guidance. Their team is using AI tools inconsistently, with no cohesive approach or standardized workflows. You teach them how to prompt well, build repeatable processes, and review AI output effectively. 5. Proof-of-Concept Builds. The client needs clarity and systems. They've heard about AI-powered workflows but need to see one working before they invest further. You build something small, contained, and tangible that proves the concept and opens the door to bigger engagements. 6. Implementation Work. The client needs capabilities and systems. They know what they want; they need someone to build it. Workflows, automations, prompt libraries, templates, and integrations. This is the highest-volume category and tends to be sticky once you're embedded. 7. Pick Two or Three, Not All Four. Each category requires a different skill set, buyer type, and sales conversation. Trying to do all four leads to muddled messaging and thin delivery. Match your offers to your strengths, your interests, and the clients you already attract. Action Steps Look at the four categories and rank them by where you have the most credibility, energy, and natural pull Think about your last few client conversations and ask: which type of help were they really asking for? Pick two or three categories to focus on and start paying attention to the signals in your prospect conversations.
#393: The Capability Gap Is Closing Fast (and What That Means for Your Business)
Freelancing used to reward the people who could do the work. Now it's starting to reward the people who can direct the work—clearly, strategically, and with the right tools. If you've felt that shift lately (more demands, broader scopes, faster timelines), you're not imagining it. In this episode, we're breaking down what happens when the old limitation—"I can't do that (yet)"—starts to disappear. You'll learn a simple mental model for thinking about capability gaps (the classic learn the "how" vs. hire the "who") and why AI is quickly becoming a third option: a "who" that's available on demand... if you know how to direct it. In this conversation, you'll take away: · Why capability gaps have always capped solo business growth (and why that's changing now) · The practical difference between using AI and directing AI (hint: the second one is where the leverage is) · How to use AI to fill knowledge gaps in real time, without outsourcing your judgment · What this shift means for the kinds of projects you can confidently say yes to If you're ready to move from "I can't offer that" to "I can lead that," press play.
#392: Your Core Advantage in the Age of AI Is Knowing What Questions Deserve to Be Asked
If you've been telling yourself, "AI can't replace what I do because I bring the human touch," I want you to hear this: that belief might be costing you work. In today's episode, I'm sharing a deceptively simple (and very practical) way to future-proof your value as a freelance writer in an age where "good enough words" are getting cheaper by the day. The premium isn't in your ability to produce powerful sentences anymore. Rather, it's your ability to produce meaning. And meaning comes from judgment: knowing what to chase, what's true, and how to shape it so it actually strikes a chord with the reader. I start with a real email from memoir ghostwriter Michele Roldan-Shaw. From there, I present the five types of questions that deserve to be asked. These are the questions that uncover stakes, tension, specificity, transformation—and ultimately the story your client can't see on their own (and AI can't reliably pull out without your guidance). I'll show you what that looks like in real projects too, from interviews that completely change the direction of a case study to memoir work that goes far beyond a simple chronology. If you've been struggling to answer, "Why should a client pay me when AI can generate drafts?"... this episode will help you build a clearer, stronger, more confident answer.
#391: Your Dreams Just Got Closer — A Different Take on the Matt Shumer + Ann Handley AI Debate
In the past couple of weeks, two smart people looked at the same moment in AI and came away with opposite advice. Matt Shumer says wake up, this is urgent, denial is dangerous. Ann Handley says slow down, stop panicking, protect your judgment. I agree with both of them. And yet I think their arguments are incomplete. In this episode, I offer a third stance: value doesn't just vanish during disruption. It gets rebundled. Reorganized. Repackaged into new bundles of tasks, trust, judgment, and responsibility. And whoever understands that process early gets to position themselves on the right side of it. I steelman both arguments, push back on both, and then spend the bulk of the episode on what excites me most: the new paths opening up for writers and marketing professionals right now. And why this is all scary and very exciting at the same time! What You'll Learn Why Shumer is right about urgency and capability, and where his argument breaks down Why Handley is right about protecting your agency, and the uncomfortable question her advice raises What "value rebundling" means and why it matters more than any AI prediction Three rebundling patterns reshaping how work gets organized Why the career ladder is breaking and what replaces it Whether "slow down" is a luxury belief, and how runway changes which advice applies to you Three new business paths for writers and marketers (Micro-Agency of One, Productized Workflow, Operator-Teacher) Four additional micro business examples to expand your thinking Why anything you build from here may have a shorter shelf life, and why that's actually freeing Four practical plays you can run this week, including a 14-day micro-offer challenge Key Ideas and Takeaways 1. Both Sides Are Partly Right: Shumer is right about the engine. Handley is right about the road. AI capabilities can jump fast AND adoption can still be messy. These are different layers of the same reality. 2. Value Gets Rebundled: Jobs are bundles of tasks, responsibility, trust, and context. AI lowers the cost of tasks. Organizations redesign the bundle. The question isn't "Will my job disappear?" It's "What will my work be repackaged into?" If you do nothing, someone else rebundles you. 3. Three Rebundling Patterns: The Orchestrator: human value shifts to scoping outcomes, setting standards, making tradeoffs, and integrating outputs. This is product thinking, not prompting. The Judgment Premium: when speed is cheap, the bottleneck moves to accuracy, brand risk, accountability, and trust. Judgment becomes more valuable where stakes are high. The Adaptive Builder: durable edge goes to people who experiment fast, chain tools into workflows, ship, measure, and rebuild when the tools change. 4. Runway Changes Everything: Your financial position determines which advice even applies to you. If your runway is short, your first goal should be financial runway. Reduce burn, increase reliable income, create a second stream. Runway gives you options. Options give you agency. 5. New Paths Beyond Your Current Job Frame: AI collapsed the cost of building. You can rebundle value outside companies, on your own terms. 6. Shorter Shelf Lives Are the New Normal: Anything you build from now on will likely have a shorter lifespan than you're used to. That's okay. The durable skill is getting good at building, shipping, learning, and rebuilding. That cycle is the skill. 7. Speed Without Panic, Intention Without Paralysis: No denial. No doom. No thrash. Choose one lane, build one proof asset, ship one offer. The future belongs to finishers. Action Steps Push AI into your hardest, most time-consuming work. One hour a day, one workflow per week. Identify what compounds in your work (judgment, taste, relationships) and protect it. Automate what doesn't. Map your work on the stakes/trust 2x2 grid. Migrate toward high-stakes, high-trust work. Launch one fixed-scope micro-offer in 14 days. Build proof. Ship. Iterate.
#390: When Clients Ask: "Shouldn't This Cost Less Now That You Use AI?"
Here's a question you may have heard already from a client or prospect when you submit a quote or proposal: "Wait… you use AI now. Shouldn't this cost less?" On the surface, it sounds like a pricing question. But underneath, there's something much more important going on. It's a sign that the client is still thinking in terms of time, keystrokes, and effort—while you're trying to sell judgment, standards, and outcomes. In this short episode, I walk through how to handle that objection without getting defensive, without negotiating against yourself, and without pretending AI doesn't make parts of your work easier or faster. We talk about: · Why this question is natural (and why it doesn't automatically make someone a "bad" client) · The core reframe that moves the conversation away from hours and toward responsibility and value · Simple talk tracks you can use on the spot when a client presses on price · How to reduce the chances of having this conversation in the first place · And why, long-term, the goal isn't to win every pricing debate, but to work with forward-thinking clients who actually get the value you bring to the table If you've ever felt caught off guard by this question, or unsure how to respond without sounding defensive or vague, this episode will give you language you can actually use.