Does Artificial Intelligence Simplify or Complicate Work?

Expectations vs. Reality: Why Is Workload Increasing?

Artificial Intelligence (AI), often touted as the primary tool for boosting productivity, has become an unexpected challenge for many professionals. According to a comprehensive study by Web Summit, 59% of tech sector employees report that implementing AI has complicated their daily workflows and increased their total workload. Only 20% noted a reduction in their tasks, while the situation remained unchanged for the rest.

The study surveyed 1,455 individuals, including startup founders, investors, and engineers. Interestingly, the increase in workload is most pronounced in fields closest to AI technologies. For instance, 70% of specialists working on machine learning infrastructure confirmed that their schedules have become more overloaded.

Why Is This Happening?

The core of the problem is simple: AI accelerates production, which automatically raises expectations for the results. However, as one European engineer surveyed in the study notes, people often have excessive expectations for AI-generated output, which requires significant time and energy to verify. Consequently, instead of saving time, employees spend extra hours on quality control and error correction.

Engineers and product managers feel the increase in workload the most, with 64% of these groups reporting busier workdays. Investors have been relatively less affected, likely due to the specific nature of their work.

Career Prospects and Critical Thinking

One of the most concerning parts of the study relates to employment prospects for junior specialists. 42% of respondents believe companies will hire fewer entry-level candidates in the future. This is particularly evident among investors and company executives, where this figure reaches 50-58%. There is a fear that once experienced staff leave, the training process for the new generation will be hindered, as companies prioritize ready-made, automated solutions.

Regarding critical thinking, opinions are divided. 55% of respondents think AI enhances their skills, while 26% argue the opposite. Engineers are particularly skeptical, with 37% believing that artificial intelligence weakens their analytical abilities.

What Does This Mean for Us?

In regions like Georgia, where the tech sector is developing rapidly and local companies are actively adopting AI, these results serve as an important signal. As international practice shows, artificial intelligence is not a magic wand that automatically reduces workload. On the contrary, it requires new types of competencies—not just technical, but also management and quality control skills. In the future, the successful specialist will be the one who can use AI for productivity rather than getting lost in correcting the 'noise' it creates.