The Comprehensive Guide to AI Content Creation

Historically speaking, artificial intelligence (AI) is nothing new. As far back as 380 BC, there were mathematicians, professors, theologians, philosophers, and authors pondering the use of machines and automation to replace human thoughts and processes. They didn’t know it at the time, but their curiosity about the mechanization of human thinking would explode into a ubiquitous technology that, today, is changing the way every industry does business.

One of those industries, of course, is digital marketing. Generative AI is a hot topic of discussion among content marketers looking for ways to use AI tools without losing the authenticity and creativity of human insights. As content creators dip their toes into AI applications, they’re seeking guidance on how to strike a balance between doing the work that no machine can ever do and leveraging technology to save time, money, energy, and resources.

Meanwhile, they’re making use of AI technology to drive more conversions and enhance their content marketing endeavors. As McKinsey reports, AI has the potential to generate between $1.4 trillion and $2.6 trillion in global marketing and sales — so this is not a technology you want to overlook in your strategic planning.

In this comprehensive guide, we explore AI in content creation, the history of generative AI, the transformative technologies shaping the use of AI in content marketing, the challenges of implementation, and the outlook for AI going forward. With this AI playbook, you’ll have everything you need to implement AI in content creation — all while avoiding the biggest pitfalls of AI content creation and holding fast to the human skills and talents that make content shine. We’ll walk you through the details below, and you can always jump to any section for immediate insights.