#394: The 4 Ways Clients Will Pay for Your AI Help Podcast Por  arte de portada

#394: The 4 Ways Clients Will Pay for Your AI Help

#394: The 4 Ways Clients Will Pay for Your AI Help

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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.
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