Professional Training 2026: Strategy, AI, and Mobility

The signals are clear: continuing professional training can no longer be limited to a cost center or a simple compliance tool. It now asserts itself as a central lever of organizational resilience in a labor market under sustained tension. Yet the gap between stated strategic ambitions and the real operational maturity of training programs remains significant.

551

respondents (decision-makers and active employees)

76%

perceive training as strategic

51%

use AI regularly or occasionally

85%

of companies without senior-specific programs

A Context of Unprecedented Structural Transformation

Advanced economies are entering a phase of deep reconfiguration of their labor markets. According to the World Economic Forum, nearly 44% of individual skills will be obsolete by 2030 due to the combined effects of automation, generative artificial intelligence, and the ecological transition.

In France, this structural shock overlaps with a major demographic transformation: the extension of working life, accelerated by the postponement of retirement age, forces organizations to simultaneously manage four active generations with radically different expectations and relationships to work.

In this context, continuing professional training is no longer an optional investment. It constitutes the lever by which organizations can secure their competitiveness, retain their talent, and anticipate job transformations. The 4th annual barometer by Lefebvre Dalloz Compétences, conducted between May and September 2025 among 551 professionals, sheds precise light on the real state of practices, stakeholder expectations, and the tensions that structure this market.

Training is no longer an individual development lever: it has become an imperative of organizational survival in a labor market undergoing accelerated transformation.

A Strategic Dimension Asserted but Fragile

The 2026 barometer reveals a fundamental tension between the posture displayed by training decision-makers and the reality experienced by employees. While 86% of decision-makers maintain a very favorable perception of training's strategic role within their organization, this figure drops to 72% among employees, down 7 points from the 2025 edition.

This perception gap is not trivial. It reflects a well-documented phenomenon in organizational transformation literature: the gap between management rhetoric and the real experience on the ground. Employees express their training needs (61% do so with their HR or manager), actively seek information (55%), and train autonomously outside working hours (45%), but increasingly feel that the company does not truly share this long-term investment vision.

Budgets Under Increasing Pressure

On the decision-maker side, the budgetary situation is gradually deteriorating. While a majority (43%) note stable spending, 22% report a decrease, up 5 points from the previous barometer. In a context where funding is becoming the top challenge cited by organizations (64%, up 7 points), this pressure on resources is particularly critical for SMEs, whose HR directors juggle multiple responsibilities and struggle to mobilize complex financial engineering.

The notable increase in the use of the Professional Transition Project (26%, +4 points) and the predominance of co-built CPF (32%) illustrate increasingly sophisticated financing practices, but also their inequality depending on organization size. Large groups favor structured mechanisms around the PTP and CPF, while SMEs rely more on lesser-known regional and conventional devices.

Artificial Intelligence: Rapid Adoption, Insufficient Training

The figure is striking: in one year, the proportion of professionals reporting using AI in their daily work has doubled, rising from 25% to 51%. This progress testifies to mass adoption that has occurred largely informally, without a structured pedagogical framework or institutional support.

For the flip side of this coin is equally striking. More than half of professionals (54%, a sharp decline from the 71% of 2025 but still a majority) have never benefited from AI-specific training. Training on regulations and risks, crucial in a context of the growing European AI regulation, concerns only 10% of respondents.

The doubling of AI adoption rates in twelve months, without adequate support and training, creates a systemic risk that organizations can no longer ignore: interpretation errors, undetected biases, compliance failures.

Decision-makers concentrate their training investments on practical basics and prompt engineering (level 1 of the framework), then on acculturation and awareness (level 2). Business training with applied use cases (level 4) and training on internal AI tools (level 5) remain marginal, even though they represent the bulk of potential added value.

This sequentiality is understandable in a maturity-building logic, but it carries a risk: that of remaining in an initiation posture without ever moving to deep operational integration. The most advanced organizations, particularly in the financial and legal sectors, are beginning to develop specific business pathways that integrate AI as a daily work tool rather than as an isolated training subject.

Confidence, a Fragile Asset

73% of professionals declare themselves confident about the evolution of their missions in an AI context. This confidence is notable, but it covers heterogeneous realities. The 35-49 age group shows stronger confidence (77%, including 27% very confident), backed by greater familiarity with digital tools. The 50-59 age group maintains a high level (74%) that may, as the barometer notes, mask a form of uncertainty about the scale of upcoming transformations.

The 27% who remain cautious cite concrete fears: fear of being replaced, lack of mastery of tools, distrust of source reliability, and fear of loss of control. These concerns are legitimate and call for a structured pedagogical and organizational response, well beyond two-hour acculturation sessions.

The Intergenerational Challenge: Between Stated Intentions and Insufficient Programs

The management of intergenerational dynamics emerges as one of the most complex and least addressed challenges of professional training in 2026. The barometer is unambiguous: 85% of training decision-makers declare they do not have specific programs for training senior employees. And yet, 65% of companies are now beginning to prepare the second half of their employees' careers between ages 45 and 50, compared to only 40% in the previous barometer. The intention to anticipate is progressing; concrete programs, however, have not kept up.

This paradox reveals a systemic tension. On the one hand, the law of October 24, 2025, transposing national interprofessional agreements in favor of the employment of experienced employees, creates a new legal framework with reinforced tools: career path interview, conversion period, validation of acquired experience funded by skills operators. On the other hand, organizations struggle to move from the register of compliance to that of a senior employment policy truly integrated into their HR strategy.

Knowledge Transfer, a Strategic Imperative

58% of respondents believe their company encourages intergenerational knowledge transfer. But the inverse figure is equally significant: 42% consider this is not really the case. The preferred methods remain largely traditional: standard training (37%) and job shadowing (21%). Innovative devices such as intergenerational mentoring (13%), reverse mentoring, or cross-functional projects (16%) remain largely underexploited.

For it is precisely in the transfer of tacit knowledge that a considerable portion of organizational value rests. When a senior expert leaves the company without their non-formalizable know-how having been transmitted, it is an irreversible loss of human capital. SMEs, more than large groups, are exposed to this risk of dependence on key individuals.

For SMEs, the departure of an expert can jeopardize the entire business. Training becomes vital for developing critical skills internally, preparing successions, and reducing dependence on key individuals.

Formats and Content: Toward a Culture of Learning Efficiency

The format preferences revealed by the 2026 barometer paint a portrait of a learning population that values above all operational efficiency. 55% of respondents prefer one to three-day training, in-person or remote. Short workshops (13%) and long courses (13%) follow, while innovative formats such as blended learning (3%) or AI solutions (2%) remain very marginal.

This marked preference for short, operational formats is not a sign of disinterest in training, but rather of an omnipresent time constraint. Active employees aged 35 to 59, who represent 75% of the sample, are caught between increasing professional responsibilities and availability requirements that limit time slots devoted to skills development.

Decision-makers, for their part, confirm this trend in their own ranking of modalities: short courses and e-learning come first, far ahead of blended learning, AFEST, or serious games. The expected benefit of blended learning remains flexibility (37%) and personalization (24%), suggesting that demand for pedagogical innovation exists but remains conditional on its ability to fit into the real constraints of learners.

Law and AI Dominate Training Fields

The most popular training fields for 2026 are law (21%), digital technologies (14%), and human resources management (12%). In detail, AI stands out strongly within the digital domain (56% of technology training choices), confirming that transformation through artificial intelligence is experienced as a training urgency, even if programs struggle to keep pace.

Regarding professional monitoring, short and visual formats dominate: short videos (31%), infographics (17%), podcasts and white papers (15% each). Only 31% of respondents already use AI for their professional monitoring, which testifies to considerable adoption potential and an open field for providers of innovative pedagogical solutions.

Professional Mobility, an Underexploited Lever for Talent Management

76% of respondents consider internal mobility essential or important for professional development. Yet 34% of employees perceive a weak, or even nonexistent, incentive for mobility within their organization. This gap between individual aspiration and organizational reality constitutes one of the most critical fault lines in talent management in 2026.

Companies that have put active mobility levers in place favor internal training (70%), regular career interviews (57%), and mentoring (35%). Talent management platforms, recognized as powerful tools for skills mapping and potential identification, are used by only 8% of organizations, revealing chronic underinvestment in HR steering infrastructure.

Large groups and SMEs differ markedly in their approach. The former structure mobility around formal processes and outcome indicators (post-mobility promotions, retention rates). The latter favor pragmatic and human approaches, based on mentoring, informal exchanges, and feedback. Both models have their own coherence, but both deserve to be strengthened by better use of mapping and skills steering tools.

In companies that have measured the impact of their mobility programs, positive feedback from employees and managers comes first (51%), ahead of increased engagement (44%) and internal promotion (35%). Mobility is first and foremost experienced as a human experience before being an HR indicator.

Strategic Implications: Five Transformation Axes for Decision-Makers

The cross-analysis of 2026 barometer data and the underlying trends structuring the labor market makes it possible to identify five priority axes for training decision-makers who wish to move from a reactive to a proactive logic.

1. 1. Move beyond the catalog logic toward a skills architecture. Training can no longer be a set of juxtaposed courses. It must fit into a living skills repository, articulated to individual trajectories and the strategic needs of the organization. This mapping work is the prerequisite for any effective mobility and talent management policy.
2. Secure AI integration through a graduated training strategy. Organizations must build an AI upskilling journey that starts from acculturation and goes all the way to business training with use cases. Each step must include a regulatory and ethical dimension, today largely absent from programs.
3. Transform senior policy into a competitive advantage. Companies that seriously anticipate the second half of their experienced employees' careers gain a lasting competitive advantage: retention of expertise, reduction of replacement costs, strengthening of employer brand. The 2025 law provides the framework; it is up to organizations to make it a strategic lever rather than a compliance constraint.
4. Institutionalize tacit knowledge transfer. Beyond formal training, organizations must design structured devices for transferring non-formalizable knowledge: intergenerational mentoring programs, communities of practice, reverse mentoring, documentation of critical expertise. These investments are by nature difficult to measure in direct ROI, but their absence translates into irreversible value losses.
5. Measure to steer. Training remains one of the least instrumented investments in the company. Decision-makers who equip themselves with robust dashboards, articulating qualitative indicators (engagement, satisfaction, practice evolution) and quantitative indicators (promotions, retention, production), can transform training from a cost center into a measurable value center.

From Urgency to Excellence

The 2026 Lefebvre Dalloz Compétences barometer paints a portrait of a French professional world in transition: aware of the strategic importance of training, but still far from having resolved the tensions between intention and execution, between technological adoption and pedagogical mastery, between desire to anticipate and insufficiency of concrete programs.

The three major trends that emerge are so many open construction sites. Flexibility and short formats meet a real demand but cannot alone suffice to develop deep skills. The rise of AI requires structured support that goes well beyond prompt initiation. And intergenerational transmission, despite genuine awareness, remains hampered by the absence of innovative devices and an organizational culture still too focused on short-term individual performance.

Organizations that will transform these challenges into competitive advantages will be those that have managed to make training a measured strategic investment, data-driven, personalized by skills, and anchored in a long-term vision of human capital.