Outsourcing is a popular business strategy for companies looking to reduce costs and increase efficiency. AI has revolutionized this approach by automating mundane tasks and optimizing business processes. By leveraging advanced algorithms and data-based insights, AI-powered systems can perform tasks at a fraction of the cost of traditional human labor, thus reducing the overall costs associated with outsourcing. However, the emergence of “supercompanies”, industry-leading AI organizations, could lead to economic monopolization and be potentially harmful.
AI could also widen the gap between developing and developed countries by increasing the need for qualified workers who are well-versed in automation and machine learning. The disruptive effects of AI can also influence wages, income distribution and economic inequality. The banking industry has already implemented artificial intelligence to detect fraud, improve customer experience (CX) with online banking applications, personalize customer services, analyze customer credit more efficiently and improve compliance. At the same time, the issues of using artificial intelligence in the organization of external business management, particularly outsourcing, are not sufficiently covered in the literature. The implementation of SDG8, which is the cornerstone of the artificial intelligence economy, makes it difficult to humanize entrepreneurship within its framework due to conflicting interests of stakeholders. In conclusion, the impact of artificial intelligence on business outsourcing companies has been transformative, as it has driven significant changes in cost optimization, service quality and process efficiency.
Technologies such as artificial intelligence (AI) have already demonstrated great potential to improve customer experience and engagement. Artificial intelligence is objective and rational, so it recommends outsourcing only when it is really necessary and convenient. Existing publications provide individual examples of practice and point out the convenience of using subcontracting in certain sectors of the economy, for example, the electrical energy sector (Braunert and Figueiredo, 2002), quality control in the automotive industry (Ulewicz, 2001), the outsourcing of technological tax processes (Abedi et al. Let's go one step further and begin to explore the impact of artificial intelligence in various industries to understand its reach and universal application. We will consider two main trends in the industry: the growing presence of artificial intelligence (AI) and impact sourcing - a practice that involves hiring strategically to improve communities with limited resources or provide a social good. From planning to construction, construction and engineering professionals use artificial intelligence to add an extra layer of precision and efficiency to their projects.
The impact of artificial intelligence on business is profound as it is transforming how companies operate and creating new opportunities for growth.
