Employee Concerns over Artificial Intelligence Applications: Iraq as a Case Study
Dr. Saad Naji / Expert in Digital Economy / Businessman
Iraq ranked among the lowest Arab countries and (86th) globally out of (147) countries on the Artificial Intelligence Usage Index, according to the “AI Diffusion” report issued by the Institute for the Economics of Artificial Intelligence, affiliated with Microsoft.
In the context of rapid digital transformation and the growing reliance on artificial intelligence (AI) applications in modern business environments, many corporate executives face psychological and behavioral challenges among employees that hinder the effective adoption and integration of these technologies into organizational workflows. A field study conducted on a sample of Iraqi companies demonstrates that these obstacles are less related to technical limitations and more closely associated with the human factor as the core driver of the transformation process.
Among some employees, a pronounced fear of failure and reluctance to engage in new experiences is evident, often accompanied by low self-confidence and hesitation in taking initiative. This tendency leads to a preference for maintaining traditional modes of performance and accepting the status quo. Such attitudes are further reinforced by limited knowledge of AI applications and their practical potential, which entrenches a state of cognitive inertia and reduces readiness for continuous learning and for keeping pace with scientific and technological developments.
Concerns about the loss of income also emerge as one of the most influential fears, as some employees perceive artificial intelligence as a direct threat to their jobs rather than as a supportive tool that enhances efficiency and productivity. This perception often results in withdrawal, hesitation, and in some cases, implicit resistance to change, driven by pessimism and an unwillingness to move from the current situation toward more advanced and prosperous prospects.
The study further indicates that an unrealistic pursuit of perfection, coupled with an excessive fear of making mistakes, discourages many employees from experimentation and learning from failure. This stands in contrast to contemporary innovation environments—particularly in the field of artificial intelligence—which are fundamentally based on experimentation, iteration, and continuous improvement. In addition, employees may succumb to undesirable organizational or social pressures, along with concerns about others’ perceptions or the fear of being labeled naïve when adopting new tools or ideas.
Collectively, these factors manifest in weakened problem-solving abilities, declining ambition, and reduced awareness of the importance of digital transformation, as well as a lack of initiative and excessive dependence on others in decision-making, which ultimately limits professional autonomy. Accordingly, overcoming these barriers requires executive leadership to adopt comprehensive approaches that focus on building awareness, strengthening confidence, and fostering a culture of sustainable learning, while emphasizing the complementary role of artificial intelligence as an enabler of human capabilities rather than a substitute for them.
