Science and Health: How is AI Reshaping the Professional Landscape?

Deep News
昨天

From the emergence of new professions like AI trainers, AI product managers, and AI ethics auditors to the rise of new entrepreneurial paradigms such as "One-Person Companies," artificial intelligence is rapidly reshaping the professional landscape, simultaneously imposing new requirements on the competencies of the workforce. Amidst this AI empowerment, what new employment opportunities will the transformation of technological paradigms create? What kind of talent will be better equipped to thrive in the AI era? Inside iFlytek Medical Technology Co., Ltd., AI medical researcher Hu Pingping is evaluating the performance of a large medical model in diagnosing and treating complex cases, attempting to identify subtle issues like the model's lack of "empathy" when responding to patients. The goal for her and her team is to make AI not only "understand disease" but, more importantly, "understand people." Hu Pingping was formerly a gastroenterologist. Five years ago, she transitioned into a role as an AI trainer, leveraging her medical expertise to help train large medical models, thereby enhancing their ability to serve primary care doctors and support public health management. "We are both inheritors of medical experience and promoters of technological application," Hu Pingping said. As artificial intelligence accelerates its integration across countless industries, new roles such as AI trainers specializing in data annotation, animators utilizing AI-generated content, and product managers overseeing the entire AI product lifecycle are continuously emerging, fueling an expanding demand for versatile, application-oriented talent. PwC's 2025 Global AI Jobs Barometer indicates that job numbers are increasing in nearly all roles globally that involve AI application; furthermore, professionals with AI skills command an average wage premium of 56%, double the figure from the previous year. A recent report from 58.com also highlighted that nearly 50 types of new "human-machine collaboration" positions and 40 new intelligent services have surfaced on its platform. "Artificial intelligence technology is profoundly reconstructing the employment ecosystem and professional landscape, driving an upgrade in the skill structure of the labor force towards higher value-added activities, and forming a new employment paradigm characterized by human-machine collaboration and intelligent empowerment," said Liu Cong, Dean of the iFlytek Research Institute. Currently, with accelerated breakthroughs in technological directions like embodied AI and world models, artificial intelligence is progressing from language processing towards understanding and modeling the physical world. The "Top 10 AI Technology Trends for 2026" report, released by the Beijing Academy of Artificial Intelligence, suggests that profound changes are underway in the industry's technological paradigms. Industry experts point out that AI is becoming critical infrastructure for an intelligent society. By empowering traditional industries and spawning new business formats, it provides a new lever for enhancing employment quality. In the field of robotics, embodied AI is propelling humanoid robots towards greater autonomy and stronger human-robot collaboration capabilities, gradually enabling their entry into real-world application scenarios. "Humanoid robots can be widely applied across various scenarios including industrial, commercial, cultural tourism, medical, and domestic settings. The scaled development of this industry will create a multitude of new employment opportunities across all segments of the industrial chain, from design and R&D, manufacturing, testing and certification, maintenance, to scenario application," said Wang Huan, Director of the Policy Research and International Cooperation Department at the Chinese Institute of Electronics. Simultaneously, AI is also lowering the barriers to entrepreneurship. The "One-Person Company (OPC)" model is gradually gaining traction—where a single individual, assisted by AI tools, can handle content production, product operation, and service delivery. From Suzhou's proposal to establish itself as the preferred city for OPC entrepreneurship, to the introduction of related communities and support policies in various regions, the "individual + AI" startup model is accelerating its path towards the mainstream. "OPCs are evolving from individual creators into 'super individuals' with scalable capabilities," said Shen Yang, a dual-appointed professor at Tsinghua University's School of Journalism and Communication and School of Artificial Intelligence. He believes that over the next five years, this form is expected to become a significant component of the digital economy. When AI can generate vast amounts of content in an extremely short time, where does humanity's core competitive advantage lie? Multiple experts argue that in the context of human-machine collaboration, human capabilities such as imagination, judgment, aesthetic sensibility, critical thinking, and emotional interaction will become irreplaceable advantages. Wang Huan emphasized that future talent cultivation should strengthen interdisciplinary literacy and comprehensive abilities, while simultaneously accelerating the improvement of training systems for new AI-related professions to facilitate a smooth transition for the workforce. Professor Zhang Junping from Fudan University's School of Computing and Intelligence Innovation offered a perspective: being a "slash" individual (pursuing multiple careers) might become one of the primary lifestyles for people in the future. "Because we cannot predict in which professional domain AI will achieve breakthrough progress, to enhance risk resilience, we must avoid reliance on a single skill or a single profession and instead improve our comprehensive capabilities. Moreover, the advent of AI allows people to quickly enter different fields, significantly shortening the journey from novice to expert," Zhang Junping said. Zhang Junping advised the younger generation to establish a cognitive paradigm centered on "AI thinking," enhancing their ability to驾驭 (harness) AI to shape new developmental advantages; they should also build a dynamically evolving knowledge system to boost future competitiveness through "interdisciplinary integration + ethical guidance." Concurrently, he cautioned against the risk of "becoming less capable due to over-reliance on AI," particularly suggesting that AI should not be used prematurely during adolescent education. Instead, priority should be given to exercising independent learning abilities and cultivating unique imagination and perspective.

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