The phenomenon of replacing human workers with artificial intelligence (AI) is now facing serious challenges. Several multinational companies such as Ford, IBM, and Commonwealth Bank of Australia (CBA) are reportedly shifting their strategic direction by rehiring human staff after realizing the limitations of automation systems in executing critical tasks.
Ford, for instance, decided to rehire hundreds of experienced experts. This move was made because automation systems failed to address complex quality issues. Charles Poon, Vice President of Hardware Engineering at Ford, emphasized that AI is merely a tool whose performance highly depends on the quality of data and training provided by humans. Without adequate supervision, AI has proven incapable of fully replacing technical expertise.
A similar situation is unfolding in the banking and tech sectors. CBA canceled layoff plans after trade unions highlighted AI's inability to handle sensitive customer service issues. On the other hand, IBM realized that AI technology could only resolve 94% of routine requests, while the remaining 6%—involving ethical decision-making—still requires the crucial role of human staff. This prompted IBM to expand the hiring of new employees to ensure the future continuity of human resource regeneration.
Analyses from various research institutions, including Intuition Labs and Orgvue, confirm this trend. Many business leaders now admit that cutting headcount for the sake of automation was often a mistake. Data shows that more than half of companies that conducted AI-driven layoffs now regret those decisions due to losing workforce members who are actually needed to oversee and manage the AI systems themselves.
Ultimately, global business strategy is shifting toward collaboration between humans and technology, rather than total replacement. Experts argue that an organization's added value lies not in eliminating human roles, but in building synergy between individual expertise and the efficiency offered by AI.
