AIGC (Artificial Intelligence in General Computing) is undergoing the process of tooling, and its powerful capabilities are being led by the needs of the industry and are rapidly being transformed into practical tools. This trend has brought about a leapfrog improvement in efficiency, which has a significant impact on the reshaping of the industry's competitive landscape.
The instrumentalization of AIGC has accelerated the formation of super entrances. Traditional forms of application are being reshaped"no app"The idea is emerging. Users can directly access and use various tools through conversations. The emergence of this method not only improves the convenience of users, but also provides developers with a broader space for innovation.
With the spread of AIGC, new types of jobs have emerged. According to IDC**, by 2026, 2 out of 3 cloud applications will use AI technology. This means that a large number of AI journeymen will be required. Emerging roles such as data collection specialists, data annotators, and custom AI model developers will become high-profile new opportunities in the workplace. These roles will play an important role in areas such as data processing, model development, and application customization.
Data collection specialists are an important part of this new job. They are responsible for collecting and organizing various types of data to provide the necessary materials for the training and application of AI models. Data collection experts need to have the sensitivity and analytical skills to extract useful information from massive amounts of data.
Data annotators are another key position. They are responsible for labeling the data and providing the AI model with trained samples for supervised learning. Data annotators need to have in-depth understanding and analysis of data, and be able to accurately label data correctly to improve the accuracy and effectiveness of the model.
Custom AI model developers play an important role. They develop customized AI models based on the specific needs of enterprises, so that they can better adapt to specific business scenarios. Custom AI model developers need to have deep knowledge of machine learning and algorithms, and be able to combine AI technology with real-world business to provide efficient solutions for enterprises.
The tooling and development of AIGC has brought new opportunities and challenges to the workplace. With the widespread adoption of AIGC, more and more enterprises will need to have AI skilled workers to cope with increasingly complex business needs. This provides a broad career prospect and development space for those who are engaged in related fields.
In conclusion, AIGC is undergoing a process of instrumentalization, and its powerful capabilities are being rapidly transformed into practical tools. This trend has had an important impact on the reshaping of the competitive landscape of the industry. At the same time, the development of AIGC has also given rise to new types of jobs, such as data collection specialists, data annotators, and custom AI model developers. These emerging careers will be highly sought-after opportunities in the workplace, providing a new direction for practitioners. With the continuous development and application of AIGC, it is believed that it will bring more innovations and breakthroughs to the industry.