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AI & Automation

The Uncomfortable Truth About AI: Does It Really Help SMEs or Is It Just Another Trend?

Find out if artificial intelligence truly benefits SMEs or is just a passing trend. We analyze myths and realities in the Spanish context with unique data.

Blurtek
3 min read347 palabras

60% of AI projects that reach us in year 2 have spent more than double the budget without measuring a single business KPI. This raises a crucial question: does artificial intelligence truly help SMEs, or is it just another costly trend without real benefits?

01

What is artificial intelligence and how does it affect SMEs?

Artificial intelligence (AI) refers to systems or machines that mimic human intelligence to perform tasks and can improve iteratively based on the information they gather. For SMEs, this means potential for automating processes, improving operational efficiency, and leveraging data analysis. However, implementation must be strategic to avoid becoming a trend without real benefits.

73%

of Spanish SMEs consider AI a priority investment according to Eurostat 2023

02

Real benefits of AI for SMEs

AI can offer numerous benefits to SMEs, from automating business processes to analyzing large volumes of data for actionable insights. For example, machine learning tools can predict market trends and adjust production accordingly. However, the key is to align the technology with specific business objectives.

45%

of SMEs that implemented AI saw an increase in operational efficiency according to an INCIBE 2023 study

03

Common myths about AI in the business sector

There are several myths surrounding AI that can confuse SMEs. A common myth is that AI is only for large companies with big budgets. However, the reality is that AI solutions can be scalable and tailored to the needs of smaller businesses. Another myth is that AI will replace employees, when in fact it can integrate to complement human capabilities.

04

Success and failure cases of AI in SMEs

Success examples in Spain

An SME in Lleida managed to reduce its operational costs by 30% by implementing an AI system to manage inventory. This is an example of how a well-planned AI application can transform traditional business processes. However, not all implementations are successful.

Common mistakes when implementing AI

A frequent mistake is underestimating the quality and quantity of data needed to train AI models. Many SMEs fail to adequately prepare their databases, leading to inaccurate results and unmet expectations. Additionally, the lack of trained personnel to manage AI is another obstacle that can compromise the project's success.

60%

of AI projects fail in the data phase according to our experience in projects with industrial SMEs

05

The relationship between AI and cybersecurity

AI can play a crucial role in a company's cybersecurity by quickly detecting and responding to threats. However, it also introduces new attack vectors that SMEs must consider. For example, a compromised AI system can be manipulated to act against the company's interests. Therefore, it's vital that AI implementation is accompanied by robust cybersecurity measures.

74%

of cybersecurity incidents in 2024 originated from poorly configured cloud environments, according to CCN-CERT

  • Define clear objectives for AI
  • Ensure data quality
  • Train staff in new technologies
  • Implement adequate cybersecurity measures

AI is a powerful tool, but without a clear strategy, it can be an expense rather than an investment.

Blurtek Team

If you're considering implementing AI in your SME, contact us for strategic consulting that ensures the success and security of your investment.

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