Companies with comprehensive training programs report 218% higher income per employee than organizations without formal training.

Everyone knows employee training works. Training programs improve job performance, support employee engagement, and strengthen employee retention. LinkedIn research finds 94% of employees would stay at a company longer if it invested in development programs that support career growth and learning opportunities.

But something else is changing. Training ownership is shifting. Skill gaps move faster than centralized training programs can keep up with. That includes leadership and manager training, which are often deprioritized until performance dips.

Employees want relevant training that fits real work, at their own pace. Many are already building new skills on their own.

The question is no longer whether training matters. It’s who gets to create it.

In this article, we’ll cover:

• The top employee training statistics shaping 2026

• What employee development statistics reveal about self-driven learning

• Why training ownership is moving beyond L&D teams

• How AI is changing who can create training

The top employee training statistics of 2026

These employee training statistics highlight how workplace learning is evolving and why training and development remain critical going into 2026.

Skills are expiring faster than ever

An estimated 39% of workers’ core skills are expected to change by 2030. This reinforces the need for continuous learning and ongoing employee training programs.

Skill gaps are holding organizations back

63% of employers cite skill gaps as the biggest barrier to business transformation, making training initiatives a strategic priority rather than a nice-to-have.

Learning and development is seen as essential

91% of learning and development professionals say continuous learning is critical for career success, even as many organizations struggle to scale training effectively.

Employees feel more prepared when training is offered

Training satisfaction has reached 84%, with employees reporting improved job performance and confidence in their ability to adapt to new skills.

Most learning still happens outside formal programs

86% of employees say they learn new skills primarily on the job, showing that employee learning often happens informally rather than through structured training programs.

Strong learning cultures improve retention

Organizations with a strong learning culture see up to 57% higher employee retention, linking training and development directly to long-term workforce stability.

Together, these employee training statistics show that learning drives performance and retention. They also reveal a gap: much of the learning that sticks happens outside formal training programs. That shift sets up the next question: what changes when employees are empowered to build training themselves?

Employee learning statistics that prove they want to build their own training

Employee training statistics show that the demand for learning isn’t the problem. Ownership and access are.

Employees want to grow. They also want learning and development opportunities that are easy to access and tied to real work. What frustrates them is how hard it is to get timely, useful training through traditional structures.

Here’s what the most recent data shows:

Career growth is the top driver of learning

The LinkedIn Workplace Learning Report identifies career progress as the number one motivation for employee learning, closely tied to retention and engagement. When learning is tied to career growth, employees don’t wait for formal programs; they look for faster ways to build skills.

Retention pressure is pushing learning closer to employees

D2L reports that 88% of organizations say employee retention is a top priority, and learning opportunities are cited as the leading retention strategy.

Employees are already teaching themselves

In the same report, 56% of employees state learning new skills on their own in the past one to three years. This is more than those who relied solely on employer-provided training.

Traditional pathways matter less than practical learning

According to D2L’s Upskill with Purpose report, only about a quarter of employees pursued college or university credentials, while self-directed and employer-sponsored learning dominated. This shows a preference for learning that they can control and apply immediately.

Employees know they need new skills and feel the urgency

75% also say they need to build new skills to advance professionally, yet 59% are motivated primarily by career and earning potential, not abstract business goals.

These learning and development statistics point to a clear shift. Training doesn’t need to be owned exclusively by L&D. Employees are hungry to learn but slowed down by centralized workflows, limited access, and long turnaround times.

That’s why organizations are starting to enable training creation closer to the work.

For example, with Coassemble, a manager or subject matter expert can upload an existing document and use AI-powered course creation to turn it into structured, trackable training. Without waiting for specialist teams or complex systems.

The insight is simple. Employees are already building their own skills. The opportunity is giving them tools that help their learning move faster, stay relevant, and actually scale.

The self-taught employee phenomenon

Employees aren’t teaching themselves because they don’t value training. They’re doing it because traditional learning structures can’t move fast enough.

Formal training often sits behind long planning cycles, limited access, and centralized ownership through legacy management systems. By the time a course is delivered, the problem it was meant to solve has usually changed. Skill gaps don’t wait, and day-to-day work doesn’t pause.

AI has shifted how people respond. When employees can use AI tools like ChatGPT to generate explanations, examples, and practice scenarios on demand, learning happens in real time.

Take an SEO specialist, for example. Search algorithms and content best practices change constantly, so waiting for formal training isn’t realistic. Instead, SEO writers and strategists use AI to answer questions mid-task, test ideas, and document what works, often guided by prompts for learning and training. That kind of learning sticks because it’s shaped by real work, not hypothetical scenarios.

What employees actually want from training

Employees aren’t asking for more training. They’re asking for better training: learning that fits real work, real schedules, and real career goals.

Across recent research, a few patterns keep showing up:

• Learning that fits into the workday: Workers prefer learning at work, not outside of it. When training competes with personal time, participation drops quickly.

• The ability to learn at their own pace: Flexible, self-paced learning reduces friction for employees, balancing shifting priorities and workloads.

• Clear links to career growth: Employees engage more when training connects directly to career advancement, internal mobility, and skill development that they can apply immediately.

• Relevant, job-specific content: Generic training is easy to ignore. Employees want learning tied to their role and real challenges, especially as skill gaps widen.

• Formats that respect time and attention: Interactive, practical formats outperform long instructor-led training. Employees value learning that helps them solve problems, not sit through slides.

Put simply, employees want training that works the way work does now: fast, flexible, and grounded in reality.

When training delivery methods lag behind those expectations, employees take learning into their own hands. When organizations remove bottlenecks and make it easy to create and share relevant training, employee learning becomes something that scales, without forcing everything through a single team.

The future of training with AI

AI is reshaping training, but the most meaningful shift isn’t how learning is delivered. It’s how training gets created, and who gets to create it.

Recent data shows why this matters:

Employees are already using AI to build skills

D2L’s Upskill with Purpose report shows that 39% of employees have used AI-powered tools to develop new skills or complete work tasks in the past one to three years. This learning often happens outside formal training programs.

AI tools are present, but guidance lags behind

While 64% of employees say their employer provides AI tools, only 61% report access to formal training, and 58% say they still feel left to learn AI on their own, relying on informal resources instead of structured support.

Career-focused organizations move faster on AI

The LinkedIn Workplace Learning Report identifies career development champions as organizations that outperform peers in adapting to change. These companies are more advanced in building future-ready skills, including genAI capabilities, because learning is closely tied to career growth rather than centralized programs alone.

L&D priorities are shifting toward enablement

LinkedIn’s report also highlights a clear shift in learning strategy. Learning and development professionals are increasingly focused on enabling learning across the organization, rather than owning all content creation themselves, as skill demands accelerate and content needs scale.

AI removes the hardest part of training creation: the setup. Instead of designing from scratch, teams can start with what already exists and let tools like Coassemble handle structure and formatting behind the scenes.

Wrapping up

Employee training statistics tell a consistent story. Employees want to learn. They want to grow. And when training can’t keep up, they don’t wait. They teach themselves.

That shift is changing how training gets built. Ownership is moving beyond centralized teams toward the people closest to the work. Not because learning and development no longer matters, but because knowledge moves faster when more people can contribute.

The real question isn’t whether training works. The data already settled that. It’s whether organizations will remove the bottlenecks that slow knowledge down and give teams the tools to create and share training while it’s still relevant.

That’s the gap Coassemble is designed to bridge. By making it easy for anyone to turn existing knowledge into structured training, teams can keep learning in motion instead of being stuck in documents. And because it’s free to start, there’s very little standing in the way of trying a better approach.

Explore what employee-driven training could look like.

FAQs about employee training statistics

What percentage of employees get workplace training?

Research shows that 61% of employees report having access to formal workplace training. That still leaves a large portion of the workforce relying on informal or self-directed learning.

Do employees want more training opportunities?

Yes, but the demand is less about volume and more about relevance. Many employees want learning that supports career growth, helps close skill gaps, and fits into real work rather than long, scheduled sessions.

Can employees create their own training materials?

In practice, many already do. Employees often document processes, share walkthroughs, or teach peers informally. With the right tools, that everyday knowledge can be turned into structured training others can reuse.

How does training affect employee retention?

Training is closely tied to retention. Employees are more likely to stay when organizations invest in learning and career development, especially when training connects clearly to progression and internal mobility.

What types of training are most effective today?

Training that is easy to complete, relevant to the job, and flexible performs best. Self-paced learning, hands-on formats, and training created close to the work tend to drive stronger engagement than rigid, instructor-led sessions.