Why is the definition of competitiveness changing?
Competitiveness is no longer solely determined by the ability to minimize expenses such as labor, taxes, and energy. While cost pressures from rising wages and financing remain significant, they only represent one side of the economic equation. The modern paradigm shifts the focus toward productivity: the amount of value an economy or a specific firm generates using its available human capital, energy, time, and financial resources.
For businesses facing higher operational costs, there are traditionally two strategic paths: passing these costs onto consumers through higher prices or increasing the efficiency of the production process. The latter is where true productivity lies. It is not merely about working harder or longer, but about fundamentally altering operational mindsets to favor better organization, the automation of repetitive tasks, and more effective data utilization.
The shift from cost-cutting to value-adding
True productivity involves a structural change in how a company operates. Instead of viewing technology as a mere support tool, successful firms are integrating it as a core competitive driver. This includes better production planning, reducing delays, and reallocating human talent toward activities that offer higher added value. In this context, technology becomes the engine of efficiency rather than just a digital convenience.
What is the current state of digital transformation?
Digital transformation in Greece shows a contradictory picture of significant progress alongside persistent structural lags. According to the European Commission's 2026 European Innovation Scoreboard, Greece has demonstrated measurable improvement in digitalization compared to 2019 levels. However, the country still ranks 27th among EU member states in overall digitalization performance.
The gap between current capabilities and the requirements of a high-productivity economy is most visible in investment figures. While digitalization is improving, investments in information technology remain below the European average. This disparity is highlighted by the Digital Intensity index; in 2024, Greece recorded a score of 19.5, significantly trailing the EU average of 34.2. This suggests that while steps are being taken, the technological capital of Greek businesses remains insufficient for long-term European competitiveness.
Why do SMEs face a larger digital gap?
The most significant bottleneck in the Greek economic structure is found within the Small and Medium-sized Enterprise (SME) sector. While larger corporations are steadily investing in automation, cloud computing, data analytics, and artificial intelligence, the broader business landscape struggles to keep pace. The OECD notes that the diffusion of digital technologies in Greece lags behind other member nations, particularly regarding the adoption of advanced tools in smaller firms.
The challenges for these businesses go beyond the simple acquisition of software. The obstacles are multifaceted, involving:
- A lack of managerial expertise to oversee digital transitions.
- Limited access to the necessary financing for technological upgrades.
- Inconsistent development of high-speed digital infrastructure.
Transitioning requires moving from basic internet presence to advanced integration. For example, implementing an Enterprise Resource Planning (ERP) system can link production directly to sales and inventory, while cloud computing reduces the need for heavy local IT infrastructure. Data analytics tools allow firms to identify precisely where losses occur, turning raw information into actionable intelligence.
How does human capital impact technological success?
Technological investment does not automatically translate into productivity; it requires a skilled workforce to leverage these tools effectively. The European Commission has identified a critical shortage of ICT (Information and Communication Technologies) specialists and a general gap in basic digital skills within the Greek labor market. This creates a situation where hardware and software are available, but the capacity to use them for value creation is missing.
The OECD emphasizes the coexistence of skill shortages and a mismatch of qualifications in the current labor market. To bridge this gap, the focus must shift toward enhancing qualitative training and providing adults with better access to continuous education programs. Without this human element, the transition from "digital" to "productive" remains incomplete.
The role of Artificial Intelligence in production models
Artificial Intelligence (AI) represents a general-purpose technology with the potential to reshape productivity across almost every industrial sector. However, the OECD warns that the benefits of AI will not be automatic. Success depends on a combination of targeted investment, specialized skills, and policies that facilitate widespread technological diffusion.
For the Greek economy, the fundamental question is whether AI will be treated as just another digital tool for minor process improvements or if it will be integrated into the very core of production organization. A superficial approach might improve isolated tasks, but a deep integration can fundamentally transform the entire production model, moving the economy toward a higher level of sophistication.
Where are the investment gaps most visible?
Investment data reveals the structural challenges facing the nation's competitiveness. According to European Commission data, while Greek businesses have improved their Research and Development (R&D) efforts, private sector R&D spending remains at just 0.85% of GDP, compared to the EU average of 1.49%. This lack of investment in innovation directly limits the ability of firms to move up the value chain.
The impact of these low investment levels is reflected in several key areas:
| Metric | Greek Status vs. EU Average |
|---|---|
| Private R&D Spending | 0.85% (Greece) vs. 1.49% (EU) |
| Digital Intensity Score | 19.5 (Greece) vs. 34.2 (EU) |
| IT Investment | Below European average |
| Labor Productivity | Below European average |
While the European Commission acknowledges that Greece has shown improvement since 2019, the overall progress is consistently throttled by low private R&D investment and the slow digital transition of the SME sector. This creates a cycle where low productivity makes it harder to fund the very innovations needed to increase it.
Key takeaways
- Competitiveness now relies on productivity and value creation rather than just minimizing operational costs.
- Greece ranks 27th in EU digitalization, with a Digital Intensity score of 19.5 against an EU average of 34.2.
- Private sector R&D spending in Greece is 0.85% of GDP, significantly lower than the EU average of 1.49%.
- SMEs represent the primary gap in digital technology diffusion, hindered by managerial and financial constraints.
- Human capital and ICT skill development are essential to convert technological investment into actual productivity.
FAQ: Business Competitiveness and Productivity
How can businesses improve productivity without increasing costs?
Businesses can improve productivity by optimizing their internal processes through automation and better organization. Instead of increasing labor hours, firms should use technology like ERP systems or data analytics to reduce waste, minimize production delays, and allow employees to focus on high-value, non-repetitive tasks.
Why is the SME sector struggling with digitalization?
SMEs face specific barriers including limited access to capital for technological upgrades, a lack of specialized managerial expertise to lead digital transitions, and a need for more robust high-speed digital infrastructure. These factors make it harder for smaller firms to adopt advanced tools like AI or cloud computing.
Is AI guaranteed to increase economic productivity?
No, AI benefits are not automatic. To drive productivity, AI must be integrated into the core organizational structure of a business rather than used as a superficial tool. This requires significant investment in both technology and the specialized human skills needed to manage it effectively.
What is the difference between digitalization and productivity?
Digitalization refers to the adoption of digital tools and technologies, such as moving to the cloud or having an online presence. Productivity is the result of using those tools to generate more value from the same amount of resources, such as time, capital, and labor.
Why is R&D investment so critical for competitiveness?
R&D investment drives the innovation necessary to create new products and more efficient production methods. Low R&D spending, as seen in the Greek private sector compared to the EU average, limits a country's ability to compete in high-technology sectors and long-term growth.
Conclusion
The transition from a cost-based competitive model to a productivity-based one is a strategic necessity for the Greek economy. While cost management remains a fundamental business requirement, long-term growth depends on closing the digital and innovation gaps. Addressing the technological lag in SMEs, increasing private R&D investment, and fostering a skilled workforce capable of utilizing AI and advanced analytics are the essential steps. Ultimately, an economy built on low costs may gain temporary advantages, but one built on innovation and high productivity is the only model capable of ensuring sustainable, long-term global competitiveness.
