For years, the answer was fairly simple. If your team needed to build digital learning, you needed an eLearning authoring tool.

That is still true in many cases. What has changed is how courses are created. AI can now help teams turn source material into outlines, draft content, create assessments, and build an initial course structure. This is changing the amount of manual work involved in course development.

But the way organizations approach learning is changing.

Training teams are under pressure to create more content, respond faster to business needs, keep learning materials up to date, and deliver training across increasingly diverse audiences. At the same time, AI is transforming how learning content can be researched, structured, developed, and delivered.

This raises an important question: Do you still need a traditional eLearning authoring tool, or is it time to rethink how you create digital learning?

The answer isn’t as straightforward as you might think.

Traditional authoring tools still have an important role to play. But they may no longer be the right answer for every learning requirement.

For years, tools like Articulate Storyline have been at the heart of eLearning development. They have enabled instructional designers to create immersive learning experiences, build complex interactions, simulate real-world situations, and turn static content into engaging digital training. Such tools also give instructional designers significant creative control over how a learning experience looks, feels, and behaves.

The challenge is not necessarily the authoring tool itself. It is the amount of work that happens before and around it. And the kind of expertise required to create good quality training outputs.

There is a need for customized training like this, and AI-powered authoring tools should not replace them. But does all your training require such elaborate approaches? And do you always have the time, resources, and budgets to build such training?

By the time a course has gone through content gathering, storyboarding, reviews, development and quality assurance, the original performance or business problem may already have evolved – or even been solved another way.

Consider a different set of learning requirements.

Your organization needs to roll out product knowledge training to a sales team. A new process needs to be communicated to employees across departments. Your compliance content needs updating. Your training business wants to turn its existing classroom materials into digital courses that customers can access on demand.

These are all legitimate learning needs. But do they require weeks of scripting, storyboarding, media production, and complex development?

Often, they don’t.

In many cases, the real challenge isn’t creating an elaborate learning experience. It’s getting useful, well-structured learning content into learners’ hands at the right time, without compromising instructional quality or losing time and hence, training and business impact.

This is where AI-powered authoring tools offer a different approach.

AI-assisted authoring does not replace the higher end authoring tools. It is meant to help learning teams get past the blank page and move to development quicker than traditional development workflows would allow.

AI-powered authoring tools are changing the economics of digital learning development.

Instead of starting every course by manually creating an outline and drafting each section, a designer can use AI to create a starting structure, generate draft content, or suggest assessment questions. The designer can then review the output, change the structure, remove unnecessary information, add examples, and adapt the content to the learners.

With a tool like Abara Author, the focus is on helping authors move from an idea or existing content to a structured eLearning course more quickly, using AI to support the development process.

Understanding the difference between use cases is important. The goal is not to remove the instructional designer or that versatile authoring tool you’ve invested in. It is to identify what topics require that attention, experts, budgets, and timelines. And what business needs can be addressed through faster training delivery, so the problem is solved much quicker.

The most useful comparison isn’t about which technology is better. It’s about which approach fits the learning requirement.

These are broad distinctions, not absolute rules. Traditional tools continue to evolve, and AI-powered tools vary considerably in their features. The right choice depends on the functionality available and the demands of the project.

Here’s where the conversation needs to change.

Organizations don’t have to choose between sophisticated eLearning and rapid course creation. They need a development strategy that accommodates both.

Think of your learning portfolio in two broad categories.

These are the projects where the learning experience warrants a more involved development process.

Examples include:

• Complex scenario-based leadership and sales training
• Software simulations and technical training
• Detailed safety procedures requiring realistic practice
• Highly interactive compliance training
• Courses with bespoke animation, video, and custom visual storytelling

For these projects, traditional authoring tools such as Storyline, supported by instructional design and multimedia production expertise, remain an excellent choice.

These are the projects where the priority is to get effective learning content developed and deployed efficiently.

Examples include:

• Product and service knowledge
• Sales enablement and product updates
• Process and policy training
• Introductory compliance and awareness courses
• Refresher training and assessments
• Digital versions of classroom training programs
• Training catalogs for customers, partners, or employees

For these requirements, AI-powered authoring can offer a more efficient route from content to course.

The distinction isn’t that one category is important and the other isn’t. Both matter. The difference is the amount of customization and development effort each requirement justifies.

A well-designed learning strategy allocates resources accordingly.

For corporate L&D teams, this creates an opportunity to address more learning needs without routing every request through a lengthy development process. Specialist designers can concentrate on high-impact projects while simpler training requirements are developed through a more streamlined workflow.

Classroom training and instructor-led programs can be valuable sources of intellectual property. But delivering that knowledge exclusively through live sessions limits how easily it can be accessed.

AI-powered authoring makes it easier to explore digital versions of existing programs, build a course catalog or create supplementary learning resources.

This doesn’t mean replacing premium, custom-developed eLearning with generic AI-generated courses. It means creating additional ways to deliver expertise.

Abara Author is built around the idea that eLearning creation doesn’t always need to begin with a blank screen or require extensive manual authoring.

It uses AI to help authors plan, research, structure, and develop learning content, with the aim of making course creation faster and more accessible.

Rather than trying to replace every capability of a traditional authoring tool, Abara Author addresses a different need – helping teams turn knowledge into digital learning without making every course a major development project.

It can be particularly relevant for:

• L&D teams that need to develop more training with limited resources.
• Subject matter experts who want to turn their knowledge into structured learning.
• Organizations that need to create and update routine training content more efficiently.
• Teams with limited budgets and resources who are struggling to keep up with the demand.

And importantly, AI is a starting point, not a substitute for expertise.

The value lies in reducing the effort involved in course creation while keeping people responsible for the quality of the learning.