Increase in productivity (automation of repetitive tasks, optimization of workflows)

Dependence on technology (reduced internal skills, loss of control over decision-making processes)

Improved work quality (support in creating accurate documentation, data analysis)

Ethical issues (risk of bias and discrimination, need to ensure data privacy, accountability for decisions based on GenAI outputs)

Facilitating innovation (exploration of new ideas, development of innovative products and services, maintaining competitiveness in a constantly evolving market)

Development of new skills (improvement of work performance, increased possibility in self-learning, greater confidence over complex tasks)

Reduction in critical thinking (reduced individual abilities to autonomously approach to problems)

Personalized learning (tailored learning experiences)

Dependence on technology (decreased in critical thinking and increasing difficulties in developing original solution)

Greater autonomy (quick access to information to solve problems independently)

Ethical issues (individuals must be aware there are the first responsible especially when decision taken by consulting GenAI involve other people)