The adoption of AI in companies is growing at an accelerated pace. According to a McKinsey survey, AI usage increased from 55% in 2023 to 72% in 2024. In the case of generative AI, the growth was even more significant: from 33% to 65% over the same period. However, with this rapid expansion, concerns about the risks of these models are also rising.

Unlike other AI models, generative AI faces specific entry barriers. The risks associated with these models go beyond security issues. According to IBM’s Global AI Adoption Index, the main concerns for companies include data privacy (57%) and lack of trust and transparency (43%), in addition to ethical and reputational risks. These factors are the biggest inhibitors of adoption, especially among organizations that have not yet explored this technology.