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The Forecast: Planning Cloud Strategy in an AI Demand Shock Cycle

AI's demand surge is pushing cloud teams to scale, spend, and commit too early. This course will teach you to recognize how AI growth expectations distort cloud planning, and to prepare for that growth without overcommitting.

Intermediate
13m

Created by James Willett

Last Updated Aug 10, 2026

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  • Course

The Forecast: Planning Cloud Strategy in an AI Demand Shock Cycle

AI's demand surge is pushing cloud teams to scale, spend, and commit too early. This course will teach you to recognize how AI growth expectations distort cloud planning, and to prepare for that growth without overcommitting.

Intermediate
13m

Created by James Willett

Last Updated Aug 10, 2026

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What you'll learn

As AI demand surges, cloud teams face a trap: growth expectations are pressuring them to scale, spend, and specialize based on signals they can’t trust. In this course, The Forecast: Planning Cloud Strategy in an AI Demand Shock Cycle, you'll gain the ability to assess how AI growth expectations can distort cloud planning. First, you'll analyze how AI demand pressures teams into premature scaling or platform expansion. Next, you'll examine why durable cloud foundations provide a stronger planning basis than short-lived demand signals. Finally, you'll evaluate how cloud leaders can prepare for AI growth without overcommitting resources. When you're finished with this course, you'll have the knowledge and vocabulary of cloud strategy under demand uncertainty needed to plan for AI growth without letting short-term signals distort sound decisions.

The Forecast: Planning Cloud Strategy in an AI Demand Shock Cycle
Intermediate
13m
Table of contents

About the author
James Willett - Pluralsight course - The Forecast: Planning Cloud Strategy in an AI Demand Shock Cycle
James Willett
14 courses 4.7 author rating 33 ratings

James is a Principal Software Engineer with 15+ years of industry experience. In the early part of his career James focused on automation and performance testing; leveraging tools and frameworks like Gatling, JMeter and REST Assured. Over the past few years James has begun to concentrate more on DevOps and Platform Engineering related tooling, concepts and frameworks. James is enthralled by the creation of in-depth, artful videos that help others become better software developers, and regularly shares these on his YouTube channel.

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