While companies pour money into lengthy courses that demand full attention and perfect conditions, employees are multitasking, moving, and simply too busy for bloated content. The solution isn’t more “hyper-engaging videos” or “interactive workflow simulations”; it’s audio-first podcast-style eLearning that fits into real life.

Evidence shows that people want to learn during their commute, 94% prefer audio learning formats, and around 600 million people globally already listen to podcasts. Meanwhile, screen fatigue affects more than half of us, and countless employees in hands-on jobs can’t access computer-based training during work hours.

Podcast-style training solves these problems by delivering focused, practical lessons that people can consume while walking, commuting, or working. It’s accessible, private, convenient, and proven effective. Best of all, you can create professional podcast training in minutes using AI tools like Google’s NotebookLM.

Traditional training doesn’t fit real life

Your employees aren’t sitting in quiet rooms waiting for the next corporate training video. They’re juggling emails while listening to webinars, scrolling phones during presentations, and frankly struggling to find 30 uninterrupted minutes for that mandatory course.

Traditional eLearning assumes people have screens, silence, and undivided attention. But many Gen Z and Millennials want to learn on their commute, and most workers are constantly multitasking. When your training demands perfect conditions, it simply doesn’t happen.

The numbers tell the story. Companies invest millions in learning programs with engagement rates that would embarrass a YouTube channel about paint drying. Meanwhile, on average people consume 9 podcasts per week, proving they’re hungry for audio content that fits their lifestyle.

Screen fatigue is crushing your training ROI

More than 50% of us suffer from screen fatigue, and research shows vision problems are higher among online learners due to increased screen time. After eight hours staring at monitors, the last thing employees want is more screen-based learning.

Podcasts offer a break from digital eye strain while keeping productivity high. Instead of adding screen time, audio learning removes it entirely. Your workforce can rest their eyes while strengthening their skills.

Audio learning reaches more people

Traditional training excludes huge portions of your workforce. Construction workers, nurses, drivers, and warehouse staff don’t have constant computer access. Millions of people live with sight loss, making screen-based content challenging or impossible. Neurodivergent employees often find audio helps reduce over-stimulation and sensory challenges.

Podcast-style training works for so many more people and situations. It requires only a mobile device and headphones—technology that a huge majority of the working population already carries. No special software, no perfect lighting, no quiet conference rooms required.

There’s love for podcast-style eLearning

The global podcast audience is estimated to be 600 million people in 2025, and they’re not just listening for entertainment. Shows like Diary of a CEO, HBR’s Ideacast, and even light-hearted programs like No Such Thing As a Fish prove people actively seek knowledge through audio.

This habit reveals something crucial: people don’t resist learning—they resist inconvenient learning. When education fits seamlessly into daily routines, consumption skyrockets.

People don’t resist learning—they resist inconvenient learning.

Create podcast-style training content in 4 simple steps

Creating professional podcast-style training based on your content used to require expensive script-writing, recording equipment, eLearning voice-over experts, and editing skills. Now, AI tools like NotebookLM generate educational audio content in minutes from your existing training materials.

Step 1: Go to NotebookLM

Navigate to NotebookLM and sign in with your Google account. The platform is free and requires no special setup.

Step 2: Click create new

Look for the “Create New” button, typically in the top right corner of your screen. This opens your workspace for the new podcast project.

Step 3: Add Your sources

Upload your training materials through the pop-up box. NotebookLM accepts multiple formats:

• PDF files and text documents
• Google Workspace content
• Website links
• YouTube videos
• Pasted written content
• Audio files like MP3s

Step 4: Generate audio overview

After adding sources, click “Audio Overview” to create your podcast. The AI will also offer study guides, mind maps, and flashcards if needed. Generation takes just a couple of minutes, then you can download the finished audio file.

Top Tip: If you click the edit pencil on the tile, you can tweak the settings and add some guidance for the AI, e.g., What should the hosts focus on in this episode?

The result sounds like two professional hosts discussing your content in an engaging, conversational style. No recording studios, no script writing, no editing required.

The learning styles myth (& why audio still wins)

Despite popular belief, research shows that learning style preferences don’t translate to effectiveness. You’re not a “visual learner” who needs pictures to understand concepts.

However, this false belief doesn’t eliminate the case for audio. Some people simply enjoy podcasts more than videos. Enjoyment drives engagement, and engagement drives results. If your learners prefer audio, that preference alone makes it more effective than formats they avoid.

Audio + everything else: The blended approach that actually works

The argument for podcast-style learning isn’t about replacing your entire training library with podcasts. It’s about using each format where it excels most. Think of audio as your training foundation: It dominates at delivering the “why”—the context, motivation, and behavioral foundations that make everything else stick.

A seven-minute podcast episode can explain why a new safety protocol matters, how it connects to company values, and what success looks like in practice. That understanding and motivation becomes the scaffold for everything else. Then supplement with focused visual materials where they add genuine value.

This blended approach fixes the core problem with monolithic training modules: They try to be everything at once and end up being effective at nothing. Instead of cramming context, procedures, and motivation into one overwhelming package, separate them strategically. Use audio for high-level concepts and behavioral change, then layer in visual elements for specific, procedural needs.

The result? Employees understand why before they learn how, making retention dramatically higher when they do encounter visual or written materials.

Microlearning meets podcasts: A perfect match

Microlearning—delivering educational content in short, focused bursts—improves knowledge retention and prevents cognitive overload. Most effective podcast episodes for learning run under 10 minutes, hitting the sweet spot for attention spans and busy schedules.

Pilot feedback by Assemble You (a leader in audio-only learning content) from 18 organizations across retail, healthcare, and logistics showed remarkable results: 94% of users wanted more audio learning, and 85% said it changed how they think or act at work. These aren’t just satisfaction scores; they’re behavior change metrics.

Convenience beats perfection every time

Josh Bersin advocates for learning in the flow of work—removing friction and delivering training when and where it’s most convenient. Podcasts take this further by fitting into the flow of life itself.

Audio learning doesn’t demand a 25th hour or 8th day. It dovetails into existing schedules. Employees can upskill while commuting, exercising, doing chores, or even during certain types of work. Studies show that even car drivers and cyclists want to learn during commutes, not just those using public transport, proving the appetite for commute-based learning (CBL) exists.

Privacy problems you haven’t considered

Consider the employee researching harassment policies, or the new manager seeking guidance on sensitive team conflicts. Screen-based training broadcasts these topics to any roaming eyes that pass their desk. Audio learning offers privacy that screens can’t match.

Podcasts create psychological safety by removing visible barriers to accessing sensitive content. Employees feel comfortable exploring difficult topics without judgment or unwanted attention from colleagues.

The ROI of podcast-style eLearning

Smart companies align training methods with strategic objectives like employee development and talent retention. When 85% of audio learners change their workplace behavior, you’re not just checking compliance boxes—you’re driving real performance improvements.

Using the method above, podcast-style educational content costs far less to produce. Audio training reaches more employees and generates higher engagement than traditional methods. Most importantly, people actually complete it. That’s ROI you can measure.

Turn learning into listening

Your employees are already listening to podcasts, learning from audio content, and craving convenient education that fits their lives. The infrastructure exists, the appetite is proven, and the latest technology makes creation simple.

Stop fighting against how people actually consume information. Instead of demanding they adapt to your training methods, adapt your methods to their preferences. Turn learning into listening, and watch completion rates soar while training costs plummet.

If you’re still not convinced, or you’re curious, check out some samples; new examples will be added regularly!

Image credit: Liubomyr Vorona

The post Death by PowerPoint? Create Podcast-Style eLearning in 4 Simple Steps appeared first on Learning Guild.

What you’ll learn:

• Why traditional compliance training is outdated and how modern approaches drive real behavior change
• How video content improves engagement, retention and accessibility in corporate training
• How short-form content trends can make compliance training more compelling
• Practical insights to create compliance programs that meet regulatory standards while keeping employees engaged

The post Transforming Compliance Training: From Boring to Engaging appeared first on Learning Guild.

This session shows how L&D and enablement leaders are using Vyond to turn those challenges into wins. You’ll see how:

• Anyone: anyone can create videos that help Sales cut onboarding time, CS reduce churn, and Compliance pass audits.
• Any Style makes the difference: Matching the right video style to the right problem, avatars for roleplays, motion graphics for compliance, branded templates for CS onboarding, drives impact without adding headcount.
• Anywhere means inside your existing stack: G suite, slack, or your LMS. Vyond delivers enterprise-ready AI, with translations and brand governance built in.

You’ll leave with practical fast facts, short examples you can replicate, and a clear playbook for proving ROI inside your org.

During this session, you will learn:

• How to connect learning content to measurable business outcomes.
• How to make AI usable at scale= enterprise-ready, brand-safe, and integrated.
• How to deliver value with fewer resources by using the right style in the right place.

The post AI: Anyone. Any Style. Anywhere. appeared first on Learning Guild.

In this data-backed session, Descript’s CEO Laura Burkhauser will share findings from a new survey of L&D professionals. It shows 81% of them are using AI weekly, 71% are open to AI support in video work, and 89% expect productivity gains from AI tools. But only 43% report clear, supportive policies and many lack the right technology.

Laura will show attendees how to move past those obstacles—they’ll leave with actionable ways to speed up production, raise quality, and bring AI into real training use cases. This session is designed for L&D leaders, instructional designers, enablement and ops managers, and anyone responsible for creating, scaling, or approving training video.

During this session, you will learn:

• Identify and unblock the toughest video production bottlenecks for fast wins.
• Benchmark your team’s cadence and effort against peers’ norms.
• Chart an AI adoption path aligned to real training use cases and common policy constraints

The post The State of L&D Video and AI appeared first on Learning Guild.

AI is changing the way we work, so we’re teaming up with Komatsu, Pearson, and Workday to share proven strategies and innovative tools that will help you future-proof your training content, empower your workforce, increase learner engagement and drive measurable ROI.

Save your seat to learn how to:

• Implement AI powered content and future-proof learning.
• Create captivating training videos in minutes.
• Make real-time content changes—no reshoots required Localize training content for a global audience.
• Create content that boosts engagement and completion rates by 50%.

The post Unlock the Future of Learning with AI Video—Create, Localize, and Scale Training in Seconds appeared first on Learning Guild.

In this session, you’ll discover how to bring the addictive appeal of streaming platforms into your eLearning, using the powerful features of the all-new Adobe Captivate. Design immersive journeys that flow seamlessly, combining storytelling, interactivity, and modern design.

Here’s what we’ll cover:

• Design like a showrunner: Use Adobe Captivate to structure your course as a season, with episodes, momentum, and cliffhangers.
• Tell binge-worthy stories: Apply narrative techniques to keep learners hooked from start to finish.
• Create seamless immersion: Build interactive, cinematic experiences with Adobe Captivate’s features – no complex workarounds needed.
• Apply it everywhere: From compliance to onboarding to leadership training, Adobe Captivate helps you transform any course into a binge-worthy experience.

By the end of this session, you’ll know exactly how to use Adobe Captivate to create learning that isn’t just effective – it’s irresistible.

The post Netflix-Style Learning: Design Binge-Worthy eLearning with Adobe Captivate appeared first on Learning Guild.

By Mustapha Salaudeen

‘TikTokification’ might sound like a buzzword, but it captures a real shift, not just in how we consume content, but in how we learn. Platforms like TikTok, Instagram Reels, and YouTube Shorts have gradually reshaped our daily habits, offering quick entertainment, micro-escapes, and increasingly, bite-sized answers to some of our unorthodox questions.

For many of us, these platforms have become the go-to for solving problems on the fly, whether it’s learning how to cook a new recipe, understanding a work tool, or simply figuring out how to fix something. And more often than not, someone has already made a 60-second video with exactly the answer we seek.

In our world today, content formats and learner expectations are changing fast, now more than ever before, owing to dwindling attention span. If you could gain the insight you need in just 30 seconds instead of 30 minutes, wouldn’t you choose the faster option? The way we learn is evolving, and for those of us shaping learning experiences, it’s our duty to pay close attention and take note, given the crucial role we play in shaping the future of learning.

Microsoft (2015) made a bold conclusion from their study of human attention span following a research that surveyed over 2,000 participants, while studying the brain activity of some participants using electroencephalograms (EEGs). The research concluded that the average attention span has dropped by 4 seconds since the mobile revolution began in the early 2000s. This, interpreted in rhetorics suggest that our attention span is shorter than that of a goldfish, a bold but debatable claim (McSpadden 2015). The source of this widely circulated claim has often been challenged and refuted, with some experts arguing that the attention span cannot be precisely quantified (Maybin 2017).

Whether or not you agree with the dramatics of precisely quantifying our attention span, the message is clear: In a world saturated with content, we’ve gradually adapted to favor speed, clarity, and immediacy. The design of learning must then respond to this shift, reflecting today’s cognitive reality.

Behavior by design

The psychology of choice is often one we submit to in our daily interactions: Grabbing a quick coffee on the way to work, voice-prompting devices to answer simple questions like, ‘What’s the weather like today?’, or scrolling for the most engaging video tutorial. As humans, we’re naturally drawn to efficient solutions that offer the highest reward with the least cognitive effort.

It’s easy to argue that this is by design, influenced by certain factors of course, and often involving training our thought process to seek something ‘different’ as an option or to accept a more convenient alternative to what has always been known.

For context, I used to rely on YouTube for help with technical issues. A quick “how to” search almost always did the trick. But I noticed something interesting over time. Sifting through dozens of videos to find one that wasn’t a clickbait became increasingly frustrating, so I adapted. First, I started scanning the comments to gauge whether others found the video helpful. Then I found myself gravitating toward YouTube Shorts, which usually gave me what I needed in under a minute. Before long, this became my default.

This wasn’t laziness; it was behavioral adaptation shaped by design. Owing to cognitive efficiency and reward-based decision-making, we as humans are predisposed to favor options that require less effort when perceived benefits remain equal. Repeatedly selecting the more accessible choice can then solidify into habitual behavior.

The core insight here is that the way we design learning doesn’t just decide how content is delivered. It actually shapes learner behavior and influences how people form habits and engage with content.

As first proposed by educational psychologist John Sweller (1988), Cognitive Load Theory (CLT) supports this claim too. At inception, the theory primarily addressed the challenges people faced when solving complex problems often associated with traditional instructional methods. The theory in recent times is now being looked at in the context of human-computer interaction, where digital learning experience falls (Hollender et al 2010).

According to John Sweller (1988), people learn best when information is presented in manageable chunks that don’t overwhelm the brain’s limited capacity to process new material. His Cognitive Load Theory explains that too much information at once, especially if it’s poorly structured or unnecessarily complex, can hinder learning.

Effective instructional design, therefore, aims to reduce mental clutter so learners can focus on understanding the core message, leading to the conclusion that shorter cognitive bite-size content helps retention, and ultimately, improves the learning experience.

Lesson to learn from short-form content

From a marketing and advertising perspective, it has always been fundamental to factor in audience attention in content generation, sales pitch, poster designs, etc., mostly reflecting the importance of efficiency in marketing strategies. Translating this into a format that is applicable to learning, it’s become imperative to position learners under the same lens and begin to craft learning solutions that fundamentally consider the attention span and the psychology driving learners’ retention level.

Domestika, a creative-focused learning platform, has built a strong reputation through its short, high-quality video modules, often broken into 5-to-10-minute segments. While this does not completely represent the argument suggesting the future of learning is leaning toward even shorter forms of learning, it amplifies the importance of modeling learning solutions to adapt to ever-changing consumer behavior. This approach also highlights the points made by John Sweller in his Cognitive Load Theory about retention level and simplified structure in learning.

Duolingo was also quick to embrace changing learning dynamics and model a learning solution in response, taking cues from Snapchat. Huynh and Iida (2017) analyzed the Duolingo Streak’s effect, with focus on learners’ engagement and motivation, making a comparison between two groups of users. The research concluded that the Streak users are more motivated and attracted to learning than non-Streak- users, based on the differences observed in the measured game refinement values (GR value) of both groups. This further emphasizes that there are lessons to be learned from social media platforms, which can directly be modeled in improving learner’s experience.

Human behavior has continuously shaped platform design, and vice versa. A clear example of this is how TikTok is now championing and democratizing microlearning, especially around everyday skills and quick “how-to” content. We see bite-sized tutorials on topics ranging from gardening and cooking to more complex skills like embroidery, baking, and even financial literacy. More recently, independent creators have begun sharing insights on workplace dynamics, sales techniques, and presentation tips, all of which mirror the kinds of content traditionally found in corporate training, onboarding, or performance improvement programs.

Learning design in practice: Case study

To provide more context on how the reshaped approach to learning content design explored in this article could fundamentally change the way we craft solutions that address real-world problems, consider the following case study.

Imagine you’re a team leader at a food manufacturing company overseeing 50 factory-floor workers. A serious safety incident has occurred. Certain food items were contaminated due to improper handling. Upon investigation, it becomes clear that many workers failed to uphold basic food safety standards, particularly around cross-contamination protocols.

The consequences are steep:

• A product recall costing $500,000
• Production halts costing $10,000 per day
• A damaged reputation and potential regulatory scrutiny

In a crisis meeting, you reflect on the diverse makeup of your workforce, varying languages, education levels, and cultural assumptions around hygiene and food handling. Historically, your training was delivered in classroom-style, instructor-led sessions. You suspect key messages weren’t retained—not because of lack of effort, but perhaps because the format didn’t match the workers’ learning preferences or realities.

You propose a traditional intervention: a one-hour, expert-reviewed course with a final assessment and certificate. But in an environment where employees are time-poor and cognitively stretched, will that have any significant impact on behavior?

What if this learning was delivered in 2-minute bursts, with relatable, scenario-based storytelling, designed to mimic how content is shared on social platforms like Tiktok or YouTube Shorts? Imagine if it also had a live comments section where learners could relate to certain parts of the modules, fostering peer-to-peer interaction.

This raises an important question: Can meaningful knowledge truly be transferred through casual, social-style media? This is a question I’m increasingly curious about, and one that will likely define how learning evolves in the years to come.

Conclusion

Over the past two decades, the way we learn and how learning is delivered has undergone a dramatic transformation. The introduction of digital devices into classrooms marked a significant turning point, shifting learning from passive, instructor-led formats to more interactive, learner-centered experiences. The early 2010s saw wide adoption of digital learning devices and tablets in schools, which opened the door to a new format of learning delivery. While technology progressed over the years, formal curriculum development often lagged behind due to the process of designing and approving curriculum being rigorous and consensus-driven. Thanks to the autonomy to interpret situations fostered by technological advances, and the free will and power to make sense of trends and predict outcomes, both formal and non-formal education continues to evolve rapidly.

In many classrooms today, learners can set up interactive knowledge games, crowdsource facts, or engage in peer challenges in a matter of minutes, covering ground that once required multiple lessons. This isn’t to say depth has been lost, but to outline the key role technology continues to play in the evolution of modern education.

Being a professional in the design of learning experience, I have been at the forefront of how experiences are being shaped by innovative approaches, witness the delivery of novel ideas and their adoption, and measured their impact.

Lately, one question keeps surfacing: What is the future of learning?

It’s an open-ended question, one that invites exploration rather than certainty. But if we look closely at the trends unfolding around us, from short-form content to behavioral design, we may find that the future of learning is already beginning to take shape.

References

• Hollender, N., Hofmann, C., Deneke, M. and Schmitz, B. (2010) “Integrating cognitive load theory and concepts of human–computer interaction,” Computers in Human Behavior, 26(6), pp. 1278–1288.
• Huynh, D. and Iida, H. (2017) “An analysis of winning streak’s effects in language course of ‘Duolingo,'” Asia-Pacific Journal of Information Technology and Multimedia, 6(2), pp. 23–29. doi:10.17576/apjitm-2017-0602-03.
• Maybin, D. (2017) “Busting the attention span myth,” BBC News, 6 March. Available at: https://www.bbc.co.uk/news/health-38896790 (Accessed: 13 July 2025).
• McSpadden, K. (2015) “You now have a shorter attention span than a goldfish,” Time, 14 May. Available at: https://time.com/3858309/attention-spans-goldfish/ (Accessed: 11 July 2025).
• Microsoft (2015) Attention spans: Consumer insights – digital lifestyles and marketing. Available at: https://studylib.net/doc/8215996/attention-spans—microsoft-advertising (Accessed: 08 July 2025).
• Sweller, J. (1988) “Cognitive load during problem solving: Effects on learning,” Cognitive Science, 12(2), pp. 257–285. doi:10.1016/0364-0213(88)90023-7.

Image credit: rizal999

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Learn how Ventura Foods, a U.S.-based food manufacturer known for producing dressings, mayonnaise, and edible oils, transformed the way they train and grow their teams using video.

In this session, we’ll share how Ventura Foods’ video-first approach streamlined processes, boosted team productivity, and made scaling their operations smoother than ever.

This webinar will highlight Ventura Foods’ journey from a small operation to a large-scale enterprise, and their desire to consolidate systems and transition from traditional documentation-based training to a video-driven approach.

We will share key statistics, the impact of this shift, and how using Veed as a tool helped them operationalize this strategy for driving growth and content generation at scale.

The post Driving Growth and Scale through Video appeared first on Learning Guild.

Here’s what they said: 

New strides in video 

Multiple attendees were struck by the new video capabilities that they learned about at DevLearn. One was particularly excited about the ability to make avatars that can be used in training videos instead of having to “worry about getting all done up every time you want to make a video.” 

Another attendee was pleased to learn about technology that extends scenes and sequences in videos. The attendee felt this was a game-changer in helping to avoid re-shoots since one can just alter the video instead. 

Improvements in learning design 

One attendee was happy to learn about LMSs that are reaching out to many more platforms. The attendee felt excited to have a platform integrated with other systems instead of being limited by staying inside the LMS. 

Another attendee mentioned localization as an important trend the attendee learned about during DevLearn. The attendee said that an upcoming software that localizes courses would have a “major impact for my team.” 

AI reigns supreme 

Several attendees mentioned AI as the coolest tech trend. One said that it has, “the capacity to expand what we do and save time.” 

Another attendee was excited about how AI could help out in the planning phases of a project by crunching numbers and doing analysis. The attendee felt that it takes a lot of time for a person to learn to do analysis correctly, so having AI assist with this step of the process cuts down the time on the project overall. 

The final attendee who mentioned AI said that it was hard to use AI when working on cybersecurity or government contracts. That’s why the attendee was pleased to hear about a closed AI that wouldn’t learn, disperse information, or store information in a way that wasn’t compliant with the attendee’s needs.   

See all of the attendee responses:

The post The Coolest L&D Tech Trends: From Learning Design to AI appeared first on Learning Guild.

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