Apple closed its 121-person AI data annotation team, triggering thoughts on the future trends of the AI data annotation industry. With the development of AI technology, data annotation work is undergoing tremendous changes: costs are reduced, efficiency is improved, and the risk of manual replacement is increasingly prominent. This article will delve into the reasons behind Apple’s move, as well as the challenges and opportunities facing the AI data annotation industry.
Bloomberg reported that Apple shut down a 121-person AI data annotation team. AI data annotators are moving to areas with lower labor costs, but wages are also plummeting, with the lowest unit price being only 4 cents per piece. At the same time, with the emergence of AI models such as ChatGPT, the annotation efficiency far exceeds that of humans, and they are facing being replaced. Li Auto and Tesla are also using AI for automatic annotation. At present, AI still has certain limitations in completely replacing manual annotation.Apple’s closure of its AI data annotation team reflects the complex relationship between technological progress in the AI industry and changes in the labor market. It also indicates that the data annotation industry will face more intense competition and transformation in the future, and will need to adapt to new challenges brought about by the development of AI technology.