6 immersive training gaps in leadership and how to close them

Most leadership skills are humane and relational. They cannot be learned by heart or incorporated through a manual. These skills are demanding qualities, such as self-awareness, compassion, vision, and communication…among others. Most leaders build them over the years, or while learning on the job. That is what leadership training exists to support: helping them develop these qualities to the point where their teams can rely on them, and where they can help those team members reach their full potential.

A great leader is as much a team player as a decision-maker, and either way, the capability comes from practice.

This is also why the training format matters so much. Imagine you had a manual for a CEO explaining what kindness means. But when an employee who has made a mistake at work that could cost the company apologizes, the leader is expected to serve as the bridge between the employee and the company. They have to be kind but also ensure that these mistakes do not repeat. A handover document might not teach a leader how to do that. But immersive learning provides that space for a nuanced understanding.

It provides the right opportunity to rehearse the hard moments safely, before they happen for real, rather than only hearing or reading about them.

And now, AI has steadily become part of that picture.

In Harvard Business Impact's 2025 Global Leadership Development Study of more than 1,100 L&D and HR professionals across 14 countries, 55% of organizations now prioritize generative AI and machine learning in their leadership strategy, up from 43% a year earlier. Much of that interest is about making immersive practice easier to produce and to scale.

The role of AI in leadership training, in other words, sits inside the larger immersive learning story rather than beside it.

So, the intent to make training immersive is clearly there. What often isn't there yet is the ability to deliver. A handful of gaps still sit between organizations and the immersive leadership training they want, and they appear consistently across practitioner surveys, academic research, and market data from 2025 and 2026.

Here are six of them, but we have also tried to address how each gap can be closed.

1. The human complexity of leadership is hard to replicate

The most consistent finding in the field concerns the human texture of leadership.

In Training Magazine's March 2025 pulse survey of L&D professionals, 59% said AI cannot fully grasp cultural nuance, and 65% felt that emotional intelligence training still benefits from a human hand. On the other hand, 58% also believed AI genuinely improves leadership training.

They were simply marking where it helps and where it doesn't, with around 30% noting a risk that AI could reinforce bias.

That distinction is fair. Leadership is relational and context-dependent. A structured feedback conversation is straightforward to practice with AI, but capturing culturally specific or emotionally charged moments is harder to do well.

That’s why you need to apply AI where it is strongest, such as generating, varying, and scaling well-designed scenarios, while keeping experienced learning designers in the authoring loop to shape the cultural and emotional detail.

2. Reaching every leader who needs the practice

Immersive practice matters most when it can reach everyone who needs it, not just a subset of an organization. If well designed, VR and high-fidelity simulation can help deliver powerful, deeply realistic experiences and remain widely used to good effect.

However, to make leadership training truly accessible, many organizations are looking for forms of immersion that run on the devices people already have, so they can extend practice to more of their leaders without standing up specialized hardware or facilities.

It is important to broaden the definition of immersive learning to include experiences that don't depend on a headset.

Browser-based 3D scenarios, branching simulations, and interactive roleplay create a genuine sense of presence and consequence while running on an everyday laptop or phone. It is far more accessible. It can also complement headset-based approaches rather than compete with them, and it lowers the practical barrier to delivering immersive leadership training to an entire population of managers.

3. Production often can't keep pace with the business

Even when organizations want immersive content, building it quickly is difficult. Traditional production takes time, budget, and specialist skills that most L&D teams don't have in-house.

The Josh Bersin Company's February 2026 research framed the cost of this: despite more than $400 billion spent on corporate training, 74% of companies report they are not keeping up with their own demand for new skills, meaning a significant share of that effort lands too late to be useful.

But with AI-assisted authoring, production time shortens from weeks to an afternoon and puts creation in the hands of the people who understand the learning need.

When a learning designer can build a polished interactive scenario themselves, immersive training becomes a routine part of the function's work rather than an occasional special project.

4. Impact is difficult to measure

Measurement remains one of the most persistent challenges. Harvard Business Impact found that most organizations still rely on employee surveys (62%) as their primary read on leadership effectiveness, which is a limited proxy for actual behavior.

Many current training tools don't connect knowledge to practical action. Immersive platforms haven't fully solved this either; they tend to produce engagement data such as completion rates without linking it to whether someone has genuinely developed as a leader.

The path forward runs through the data that scenario-based learning naturally generates. A branching simulation records the decisions a learner makes, which path they chose, where they paused, how they recovered, not just whether they finished.

Connected to LMS analytics and xAPI-style tracking, that behavioral signal gives a more meaningful basis for measuring outcomes than a satisfaction survey. It helps when the format and the analytics layer are designed to work together from the start.

5. Soft skills at scale

Leadership development is largely about soft skills: communication, empathy, influence, conflict resolution, and decision-making under pressure. The World Economic Forum's Future of Jobs Report 2025 ranks leadership and social influence among the fastest-growing skill needs through 2030, alongside analytical thinking and resilience. These are also the skills that are hardest to teach immersively at scale.

The difficulty is a genuine trade-off.

Approaches built around live human facilitation produce real depth but are harder to scale. Highly automated approaches scale easily but can lose some of that depth. Delivering depth, scale, and affordability together — for the broad market rather than only the largest enterprises — is still an unsolved problem for much of the field.

A simulation that

• maintains its depth without requiring a facilitator in every session,
• can help create realistic interpersonal situations, branching conversations, and contextualized workplace moments,
• can be paired with multilingual delivery so one strong program can serve a distributed, global workforce,

...is the right way to go.

Reusable templates for recurring leadership moments, such as difficult feedback or change communication, help make this repeatable rather than bespoke each time.

6. Leaders need AI literacy, delivered as practice

A newer gap is specific to this moment. Leaders increasingly need to manage AI-augmented teams, make sound AI-related decisions, and guide people through automation-driven change.

McKinsey's January 2025 "Superagency" report found that while 92% of companies plan to increase AI investment, only 1% consider themselves mature in AI deployment. The WEF reinforces the demand: AI and big data literacy is now the second-fastest-growing skill employers are seeking.

The way this is taught hasn't caught up. AI literacy is often delivered as static content — slides, videos, and quizzes — which struggles to build the capability leaders actually need. The disconnect is visible in the data: in one 2026 study, 77% of executives believed their managers were prepared for AI-related skills conversations, while only 34% of those managers felt prepared, and just 9% of individual contributors agreed.

Immersive training lets leaders rehearse genuinely hard situations, such as weighing an AI recommendation or credibly communicating a transition, which is closer to how leadership is learned in the first place.

What this means for decision-makers

The data points in one direction. Organizations understand the value of immersive, AI-enhanced leadership development and want more of it.

The constraint has rarely been conviction; it has been capability: cost, speed, measurement, reach, and a shortage of tools that let non-specialist teams build to the quality the work requires.

What's changed is that each of these six gaps has moved from an open problem to something organizations can address: immersion that runs without specialized hardware, authoring that doesn't require a production studio, depth that doesn't depend on a facilitator in every room, measurement built into the experience, and AI literacy taught through practice.

For leaders weighing where to invest, the question is less whether immersive leadership training is ready and more which of these gaps matters most in their own context.

Disclaimer: AI was used to assist in the preparation of this article. AI tools were utilized to help smooth sentence structure and gather research material. However, the article was written by the author, with all analysis and conclusions resulting from human expertise.

Sources

The following sources were verified against their original publications. Figures from the underlying research brief that could not be substantiated against a credible primary source have been excluded.

• McKinsey & Company: Superagency in the Workplace (January 2025). 92% of companies plan to increase AI investment; only 1% consider themselves mature in AI deployment; leadership identified as the primary barrier to AI adoption.
• Training Magazine: Training Pulse survey (March 2025). 58% of L&D professionals believe AI enhances leadership training; 59% say AI cannot fully grasp cultural nuance; 65% say emotional intelligence training still benefits from a human; 30% note a risk of reinforced bias.
• World Economic Forum: Future of Jobs Report 2025 (January 2025). 63% of employers cite skills gaps as the top barrier to business transformation; ~40% of core skills are expected to change by 2030; AI and big data literacy is the second-fastest-growing skill; leadership and social influence are among the top-growing skills.
• Acorn: The State of Learning for AI Fluency (May 2026). 77% of executives believe their managers are prepared for AI-related skills conversations; only 34% of managers feel prepared; 9% of individual contributors agree.
• Allied Market Research: Corporate Training Market report. Market valued at ~$332.9 billion (2019), projected to reach ~$487.3 billion by 2030 at a ~8% CAGR. (Note: this figure is frequently misquoted as a 2026 projection; the original projection year is 2030.)