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In today's fast-changing world of technology, generative artificial intelligence (AI) is reshaping industries at an alarming rate, and there are many concerns about the impact of generative AI on the labor market, according to market research firm Gartner, while software engineers may not need to worry about losing their jobs, they are likely to need to improve their skills.
According to Gartner, generative AI will revolutionize software engineering and operations by 2027, creating a flood of new jobs and upskilling 80% of software engineers. The prediction undoubtedly poured cold water on those who fear that AI will replace human engineers. In fact, the rise of AI does not mean the end of human engineers, but provides them with a new opportunity to develop.
The report predicts that as AI technology continues to advance, the development of AI-driven applications has become a trend, which has also given rise to a new type of software professional talent – AI engineers. Not only do they need to have solid software development skills, but they also need to have knowledge of things like data science and AI/machine learning. This cross-disciplinary combination of skills makes AI engineers highly sought-after in the labor market.
However, in the face of the rapid development of AI, there are still concerns about the impact it may have on human engineers. Philip Walsh, Senior Principal Analyst at Gartner, said: "Bold predictions about the potential of AI often lead to speculation that AI may reduce the need for human engineers or even replace them altogether. However, our research shows that while AI will redefine the role of the software engineer, human expertise and creativity remain key to developing complex, innovative software. ”
In fact, the rise of AI is indeed changing the way software engineers work, but more often than not, improving their efficiency and quality. By leveraging AI technology, software engineers can identify and solve problems more quickly, allowing them to devote more time and energy to more innovative work. This shift not only requires software engineers to continuously upgrade their skills to adapt to the development of new technologies, but also provides them with more opportunities and possibilities for development.
Generative AI (generative AI) is a type of AI that can create new content and ideas, including creating conversations, stories, images, videos, and music. AI technology attempts to mimic human intelligence in non-traditional computing tasks, such as image recognition, natural language processing (NLP), and translation.
Continental encourages the innovative application of generative AI in various industries and fields
The generative AI industry is a new breakthrough and development in the artificial intelligence industry, and today, the artificial intelligence industry has become a hot spot of global attention and a highland that needs to be seized in the field of science and technology in the future. The development of the AI industry is in line with the innovation-driven development strategy of the mainland, and the mainland policy strongly supports and encourages the development of the AI industry, and the state also encourages the innovative application of generative AI in various industries and fields. In addition, the state has also begun to attach importance to the algorithm filing system to standardize the development of the industry.
Generative AI technology is evolving at a rapid pace
Generative Al technology has developed rapidly, and in the months since the launch of ChatGPT, the timeline of the development of major large language models (LLMs) is shown in the chart below, with the development of generative AI technology and related enterprises showing a short release cycle, a large number of startups, and rapid integration with existing software.
Generative AI realizes the proportion and value of different functions
According to a McKinsey research report, the value created by generative AI in the four major areas of customer operations, marketing and sales, software engineering, and R&D accounts for 75% of the total annual value of generative AI, and its application penetration rate is high.
Grace Isford, a partner at Lux Capital, noted that generative AI tools are already playing a highly effective supporting role in many areas, such as coding, customer support, and search. The acceleration of routine tasks such as knowledge retrieval, information aggregation, and task automation is increasing significantly. This trend is expected to continue to grow as AI co-pilots become more sophisticated and evolve, evolving into long-term agents capable of performing comprehensive business functions and enhancing multi-step workflows. In addition, multimodal AI applications will become more prevalent in day-to-day business operations, including the integration of voice, video, and image processing capabilities.
Under the generative AI boom, Gu Fan, general manager of the strategic business development department of Amazon Web Services Greater China, said that three major entrepreneurial opportunities will be generated: basic models, the application of generative AI, and the demand for tool chains in the upstream and downstream of the industry. As an underlying and important platform for generative AI, the basic model has attracted a large number of start-ups to join. Gu Fan pointed out that enterprises need a large model with wider versatility, as well as a model with deeper capabilities in exclusive fields. The basic model field will not always be a 100-model war, nor will there be a large model monopoly market. Eventually, there will be a few or a few winners in the area of foundational models, providing a variety of options for companies building generative AI applications.
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