Jooksude AI: Kuidas vältida ennatliku vastuvõtmise lõksu

When we think about the most disruptive and popular technologies that have been gaining ground in the business world, it is impossible not to consider artificial intelligence as one of the main tools. And that's no coincidence, as the research 'The State of AI in Early 2024: Gen AI Adoption Spikes and Starts to Generate Value', carried out by McKinsey, reveals that 72% of companies already use AI. The enthusiasm is fueled mainly by the possibility of eliminating repetitive tasks through automation, optimizing professionals' time, which can be used for activities of higher value and relevance, reducing costs and increasing efficiency.

This frenzy can make managers who have not yet adopted this technology feel at a disadvantage. In highly competitive markets, it is common to seek innovative solutions for organizations to stand out and achieve success. However, it is crucial for managers to think strategically before adopting new technologies, avoiding hasty decisions that only seek the appearance of innovation. There is a need to ensure that the acceptance of these solutions is aligned with the real needs of the business and to understand how they can actually drive growth.

Adoption should be carefully studied, as any change in the daily work routine implies changes in processes, organizational structures, and culture, which requires both time and resources. 

To support decision-making, experts such as Alexandre Nascimento, a researcher at MIT, present studies that can be crucial in the development of an AI plan for the business. An example is the AI2M model (Artificial Intelligence Adoption Intention Model) created by him, which considers five main factors that influence the intention to integrate AI: facilitating conditions, which assess whether the user believes they have the necessary resources to use AI; performance expectancy, which measures whether the user believes that AI will improve their work performance; effort expectancy, which reflects the user's perception of the difficulty of learning and using AI; self-efficacy, which is the user's confidence in their ability to use AI; and social influence, which evaluates the perceived pressure from others to adopt AI. 

In a more general sense, these decision-makers should consider the following scenario: what is the problem I face and how can AI help to solve it, instead of adopting the inverse approach, which would be to decide to implement AI without considering where and how it will be applied. These questions are not intended to present a negative view on the integration of AI, as it is evident how much it can benefit work processes. Instead, the goal is to highlight that AI should be seen as a tool, and not as a miraculous solution, as the enthusiasm and buzz generated by frequent media attention often make it seem. Thus, organizations can maximize the benefits of AI and ensure an effective transformation.