Training more employees, faster, with a smaller budget and less time: that is the challenge facing training teams in 2026.
For several years now, the workplace has been undergoing profound changes. Skills are evolving rapidly, the need for upskilling is skyrocketing, and the widespread adoption of artificial intelligence is further accelerating this trend.
According to the World Economic Forum, nearly 39% of skills are expected to change by 2030.
In this context, employees want to grow, stay current, and keep pace. The demand for training is skyrocketing. As a result, training has become a strategic tool for organizations to adapt—and even to survive.
In 2025, 98% of employees wanted to update their skills, according to the .
But training teams, for their part, must contend with a more complex reality: limited resources, tight budgets, and an organization that is becoming increasingly difficult to manage.
Specifically, 41% of training managers report a lack of financial resources, 33% a lack of human resources, and 42% a lack of time (according to the Edflex 2025 Barometer).
We are therefore asking the training teams to do more… with less.
AI Training: An Essential New Skill
The first major change: companies must now train their employees in artificial intelligence.
And this applies to every field. Whether it’s marketing, HR, finance, retail, or manufacturing, AI is gradually transforming the way we work.
The problem is that usage still varies widely from one team to another. Some employees are already using AI tools on a daily basis, while others still don’t know how to use them effectively.
This lack of a framework leads to gaps in expertise, an increased risk of errors, and practices that are sometimes inconsistent across the company.
👉 Training in AI is therefore becoming a matter of competitiveness, but also of standardizing practices.
Training with AI: A New Way to Learn
Artificial intelligence isn't just a skill to be developed. It's also transforming the way we train people.
For a long time, people have pitted these formats against each other: in-person versus digital, digital versus e-learning. But that debate no longer really makes sense.
Today, half of training managers consider in-person training to be the most suitable format for most training programs, according to the Edflex 2026 Barometer.
In-person learning therefore remains the gold standard. However, it has its limitations: high costs, complex logistics, and difficulty scaling up.
In reality, each approach has its strengths:
- face-to-face interaction;
- digital technology for easy access to content;
- AI for personalized learning paths.
👉 The focus is no longer on choosing one format over another, but on designing coherent learning pathways and leveraging the strengths of each format to provide a more effective training experience that is better tailored to employees.
But this proliferation of formats also creates a new challenge: organization.
Training with AI: A New Approach to Planning
The real challenge: organizing training effectively
It’s probably the topic people talk about the least, and yet it’s becoming a central issue.
Because, in reality, the complexity of training programs has skyrocketed. The number of programs is growing, formats are diversifying, constraints are piling up, needs are exploding… and resources aren’t always keeping pace.
👉 The main obstacle to training is not pedagogical; it is organizational.
This is precisely where artificial intelligence is a game-changer.
This is because, in many companies, training is organized using limited tools or Excel spreadsheets, even though highly effective solutions are available.
Artificial Intelligence in Planning Software
AI-powered scheduling solutions automate much of the training organization process. But more importantly, they analyze all constraints and quickly generate reliable, optimized schedules.
In practical terms, where it would take a human weeks to weigh the different options, AI can calculate thousands of combinations in a matter of seconds to identify the best one.
The result: less time spent on organization, more efficient use of resources, and training teams that can finally focus on higher-value tasks.
Yes, that's possible.
Key Takeaways on AI in Education
In an environment where training teams must continually update employees’ skills to help companies keep pace with market changes, artificial intelligence is gradually emerging as an essential solution.
It simplifies the organization of training programs, facilitates the design of learning pathways, optimizes scheduling, and enables more effective management of all training initiatives.
Training teams now face a threefold challenge: using AI for training, using AI for organization… and training employees on AI.
One thing is certain: artificial intelligence is far from finished transforming professional training. 😉
