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The Economics of AI: Tokens and Pricing Foundations

Decoding Tokens: The Currency of AI

The Model Matchmaker: Balancing Cost and Capability

Doing the Math: Cost Estimation and Comparison

Back-of-the-Napkin Cost Estimation

The AI vs. Human Calculator

Making the Call: ROI and Decision Frameworks

Calling Out Bad ROI: The 'Is It Worth It?' Framework

Quizzes: Test Your AI Economics Knowledge

Quiz 1: Token Economics and Pricing Basics

Quiz 2: Choosing the Right Model

Quiz 3: Cost Estimation Math

Quiz 4: ROI and Human vs. AI Comparisons

Course Wrap-Up and Feedback

Module 8 Feedback Survey

Are you ready to demystify the true costs of implementing Artificial Intelligence in your business. Welcome to "AI Economics: Calculating Token Costs and Project ROI," the definitive course designed to help professionals, project managers, and business leaders navigate the complex financial landscape of Large Language Models (LLMs).

Are you ready to demystify the true costs of implementing Artificial Intelligence in your business? Welcome to "AI Economics: Calculating Token Costs and Project ROI," the definitive course designed to help professionals, project managers, and business leaders navigate the complex financial landscape of Large Language Models (LLMs). As AI adoption accelerates, understanding the hidden costs—from input and output tokens to context window limits and human-in-the-loop workflows—is no longer optional; it is a critical business survival skill. This comprehensive course breaks down the currency of AI, teaching you exactly how major providers structure their pricing. You will learn how to match the right AI model to your specific tasks, balancing latency, reasoning capabilities, and budget constraints. We move beyond theory into practical application, equipping you with the skills to build back-of-the-napkin cost estimators and side-by-side financial comparisons between human labor and AI execution. Finally, you will master the "Is It Worth It?" framework, enabling you to confidently calculate Return on Investment (ROI), defend budget requests, and gracefully veto poorly scoped AI projects that cost more than they save. Whether you are scaling a startup or optimizing enterprise workflows, this course provides the financial clarity you need to make data-backed AI decisions. Stop guessing your AI spend and start forecasting with precision. Enroll today to master AI economics and ensure your next AI initiative drives real, measurable business value.

Module 8: AI Economics: Calculating Token Costs and Project ROI

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            <p>Navigating the world of artificial intelligence often feels like trying to read a menu where the prices are written in a language you don't speak. We hear a lot about "game-changing" capabilities and "disruptive" features, but the conversation rarely starts where it should: with the bottom line. To truly lead an AI initiative, you have to understand the unit of account—the token. It’s the hidden currency powering every prompt and completion, and if you can’t translate those tokens into actual dollars, you’re essentially flying blind. This course is designed to pull back the curtain on AI economics, moving beyond the hype to give you a clear-eyed view of how these models are priced and how those costs scale from a single experiment to a full-blown operational workflow.</p>

<p>Whether you’re a founder trying to protect your runway, an operations lead looking to automate a repetitive process, or a project manager tasked with defending a new budget, you need more than just a "gut feeling" that AI will save time. We’re going to get hands-on with the math, comparing the high-tier "reasoning" models against their faster, cheaper counterparts to find the sweet spot for your specific needs. You’ll learn how to build a "back-of-the-napkin" estimate, construct a side-by-side comparison of AI versus human labor costs, and ultimately develop a framework to decide if a project is actually worth the investment. By the time we’re done, you won’t just be talking about what AI can do; you’ll be proving why it makes financial sense—or having the confidence to veto a project that doesn't.</p>
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