A survey involving nearly 750 corporate executives evaluated the influence of artificial intelligence (AI) on the productivity and work model of companies. The survey revealed that more than half of the companies have already invested in AI, although adoption shows disparities across different sectors of the economy.
The results indicate that the productivity increase resulting from AI varies according to the industry and is expected to intensify in 2026. High-skilled services and the financial sector stand out, showing the most significant efficiency gains.
On the other hand, this growth is not associated with an increase in the volume of capital invested, but rather with an advance in total factor productivity. Overall, companies perceive a productivity gain greater than officially recorded, signaling a lag in generating corresponding revenue.
The study also pointed out differences in expectations regarding the impact of AI on the workforce. While larger companies foresee a reduction in the number of employees, smaller ones tend to anticipate workforce growth, reflecting different strategies and available resources.
Furthermore, the incorporation of artificial intelligence has triggered changes in the composition of occupational roles. There is a decline in routine administrative activities, while the demand for qualified technical specialists grows, indicating the new skills required in the market.
An index was developed to assess which roles are most negatively affected by AI adoption. This tool helps identify higher-risk areas and allows companies to better plan the technological transition, preventing adverse impacts on their employees.
In summary, the spread of AI is altering productive and organizational structures in companies. The expectation is that this movement will continue accelerating, with adaptations in professional profiles and efficient use of new technologies, expanding the role of artificial intelligence in the economy.
