Skilled Labor Gap in SMEs and the Retention of Experiential Knowledge

Why the skilled labor gap in SMEs continues to grow structurally

The skilled labor gap in SMEs increased nationwide by 51 percent between 2016 and 2025. This is proven by the study KOFA Kompakt 4/2026 by the German Economic Institute (IW). On an annual average between July 2024 and June 2025, 72.3 percent – a good seven out of ten unfilled positions – were in the SME sector. The situation is particularly drastic in Bavaria: Here, more than 75,000 positions in small and medium-sized enterprises remained unfilled during the same period, which mathematically corresponds to every second open position. The bottleneck is also noticeable in other federal states: In North Rhine-Westphalia, almost 41,000 workers were recently missing, and in Berlin, every fifth open position in SMEs remained vacant. Anyone hoping that economic fluctuations will permanently solve this problem is ignoring demographics. Although the absolute gap drops briefly during economic downturns, the ten-year trend points steeply upwards.

Why general unemployment does not cancel out the skilled labor shortage

An open position can only be filled if the applicant's qualifications exactly match the requirement profile. The IW methodology for calculating the skilled labor gap matches open positions and suitably qualified unemployed persons at the level of 1,300 specific occupational groups. An unfilled position in electrical engineering cannot be filled with a job-seeking baker. Out of a total of 1.1 million open positions in Germany, around 393,000 could recently not be filled mathematically. The assumption that a rising general unemployment rate would automatically alleviate the recruiting pressure in SMEs is a methodological fallacy. The shortage is highly specific and hits exactly the positions that are crucial for smooth business operations.

Why the SME definition is often confused regarding the skilled labor gap

Statistics on the skilled labor gap are based on the EU Recommendation 2003/361, which caps small and medium-sized enterprises at a maximum of 249 employees. This definition has remained unchanged since 2005 and forms the basis for the surveys by the German Economic Institute and the Federal Employment Agency. In practice, this is often confused with the balance sheet size class definition according to Section 267 of the German Commercial Code (HGB). Through the Delegated Directive of the EU Commission, the thresholds for balance sheet total and turnover were increased by 25 percent on January 1, 2024. However, this change exclusively affects the accounting and auditing obligations of corporations and has no impact on how the skilled labor shortage is statistically recorded. Anyone making strategic personnel decisions based on business articles that mix up these two definitions is proceeding from false premises.

The invisible cost block: When experiential knowledge leaves the company

The longer a position remains unfilled, the heavier the burden on the remaining minds – and their unwritten knowledge becomes a critical bottleneck. When specialists retire or change employers, they take undocumented process knowledge with them. This does not concern official manuals, but lived practice: Why a certain supplier must be calculated differently for lead times, how a historically grown cost allocation works in controlling, or what exceptions apply during document verification. If there is a lack of junior staff to take over this knowledge through years of onboarding, turnover tears holes in operational capability. These gaps can no longer be closed by pure recruiting, as the market simply does not provide the required profiles.

White spot detection: How systems secure missing knowledge in time

An overarching knowledge layer in the company systematically detects where experiential knowledge is missing and specifically asks for it before employees leave. Those who implement this in practice establish a system that brings the memories of all used tools together in a common knowledge bank. Every module – from business monitoring to the customer database – records processes, behavioral patterns, and feedback, and learns from them. The so-called white spot detection automatically identifies knowledge gaps. These are workflows that take place daily but are not stored anywhere as a rule. The system then proactively reaches out and asks the responsible employees for the missing knowledge via interview. In this way, implicit knowledge is made explicit before the knowledge carrier leaves the company.

Knowledge as versioned building blocks instead of a dead document archive

Experiential knowledge must be machine-readable and actionable to compensate for the loss of skilled workers. In practice, this means: Knowledge is stored as versioned building blocks. An overarching memory system continuously checks whether the documented knowledge and actual actions align. For example, if the stored purchasing strategy and the real ordering patterns contradict each other, the system reports this strategy conflict. In addition, this layer enables correlations across tool boundaries. A campaign spike that leads to tight inventory coverage and thus endangers a top customer segment is condensed every morning and automatically recognized. A central access point accepts instructions, executes them, and reports on its own what is important. Through this modular principle, management configures processes and rules according to their vision, which rolls directly into the departments without translation losses.

The forecast until 2028: Why waiting is not a strategy

The projection of current labor market data shows that the bottleneck will continue to worsen in the coming years. An IW labor market projection until 2028 predicts a nationwide shortage of 768,000 skilled workers, provided the trends of the past seven years continue. The institute itself warns that these model assumptions might even be too optimistic given the geopolitical and economic situation. For SMEs, this means: The fight for the few available minds will become more expensive and in many cases hopeless. Operational capability can only be maintained in the future if the existing knowledge of the workforce is systematically transferred into machine-readable processes before the gap in one's own company becomes insurmountable.