Efficiency or Survival? What Really Drives AI Adoption in Slovakia

15 decembra, 2025

Are Slovak companies adopting artificial intelligence because they want to innovate, or because they are afraid of falling behind?

Public discussions typically describe AI as a productivity tool, yet the Slovak reality is far more complex. For many enterprises, AI has become a necessity: a way to cope with competitive pressure, rising customer expectations, and labour shortages. Our AI-ImpactSK research shows that two primary motivational factors drive AI adoption in Slovakia: the desire to increase efficiency and the need to survive in an environment of escalating pressure. Understanding which of these dominates within your organisation is essential for achieving a smoother and less chaotic implementation.

1. Efficiency: A Promise That Opens the Door

Companies usually enter the world of AI with a simple expectation: to speed up workflows, ease the burden on employees, and obtain immediate benefits without major investments. The idea of improving efficiency operates as a “safe entry point” that allows firms to explore new tools without significant organisational change. However, interviews with Slovak companies reveal that although efficiency is the most commonly stated argument, it often masks deeper reasons for adoption.

Why do companies talk about efficiency?

Reducing administrative burden: Employees in HR, marketing, administration, and healthcare face repetitive tasks every day. Generative AI offers immediate value: drafting text, editing, summarising, translating. Even small time savings across multiple tasks accumulate into a significant advantage.
Speeding up work without major investments: SMEs but not only them – currently lack the capacity for complex projects. They appreciate tools that deliver results immediately without procurement procedures, pilots, or demanding training.
Seeking quick, measurable outcomes: Since many firms do not have AI KPIs or a formal strategy, success is measured intuitively: “If it saves me ten minutes a day, it is worth it.”

Efficiency creates space for experimentation. But it is not the key reason why companies accelerate their adoption efforts.

2. Survival: The Silent Force Behind Rapid AI Adoption

Behind arguments about efficiency lies a much stronger phenomenon — the pressure to survive. Companies implement AI to avoid falling behind, to retain clients, to overcome labour shortages, or to respond to competitors’ activities. This motive appears almost universally across sectors and company sizes.

What pushes companies to adopt AI?

Fear that competitors will be faster and cheaper: If one firm can reduce a process from two days to two hours thanks to AI, others have little choice. In low-margin environments, even small savings become a critical competitive factor.
Rising expectations from customers and partners: Faster delivery, more frequent communication, accuracy, and “instant” adjustments. When a company does not use AI, clients gradually perceive it as less responsive.
Stress felt by owners and managers: Particularly in SMEs, AI is viewed as a way to keep the business running. Labour shortages and rising costs create pressure that AI can partially relieve.

Innovation thus becomes a tool for survival.

3. The Dominant Tool: Generative AI Leads the Slovak Market

Generative AI has emerged as the most widespread type of AI in Slovak companies, regardless of industry. Its dominance stems from minimal entry requirements, universal applicability, and immediate impact. While global discussions focus on predictive models or automation, the reality in Slovak firms is far more pragmatic.

Why generative AI?

Minimal entry barrier: It requires no infrastructure, specialised team, or lengthy implementation. A simple account is enough.
Immediate usability: Marketing materials, internal documents, reports — all can be produced within minutes.
Flexibility across professions: From administration and sales to education, generative AI has the broadest practical reach.

Companies often use AI before they have formulated a strategy, governance framework, or success metrics.

4. Strategy Without a Strategy: AI Is Used, but Rarely Managed

Although AI is already actively used, only a minority of organisations have established a formal strategy, governance rules, or clearly defined objectives. Many implementations result from individual initiative rather than planned development.

What does an “informal strategy” look like?

Experimentation without coordination: Employees test tools independently, without connection to company goals or safety standards.
Focus on quick wins: Short-term savings outweigh long-term planning or building data readiness.
Lack of rules and governance: Without clear guidelines, there is a risk of inconsistency, unsafe data handling, and legal uncertainty.
Dependence on individuals: Many companies rely on a single “AI enthusiast”, which limits scalability and creates vulnerability.

AI adoption is therefore fast, but not necessarily systematic.