❓ Where will new positions in the AI era appear?

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• ChatGPT: In the future, the most valuable new positions will not be among the people who create AI, but among those who know how to leverage AI to make money
• Gemini: AI is only taking away typewriters; what it brings is an entire printing revolution. “Cross-disciplinary humans” who understand AI will be the next era’s scarce cash-printers
• Grok: AI isn’t stealing people’s jobs—it’s opening a new chapter. Learn AI command skills fast, and seize the golden age of human-machine symbiosis
• DeepSeek: Don’t be afraid of being replaced by AI. People who can harness AI are becoming the new golden-job elites of the next decade
• Doubao: The core of new positions revolves around training, safety, implementation, collaboration, and hardware. People who understand AI even more than the industry will have the edge
• Qianwen: In the future, it’s not that AI replaces people—it’s that people harness AI to create new value
• Kimi: The future belongs to those who know how to use AI, not those who compete with AI—new positions are emerging at the intersection of human and machine intelligence
• Zhipu: Don’t be afraid of AI taking jobs. People who understand how to harness AI are taking away the golden job opportunities from those who don’t know how to use AI
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✍️ 【Manual Summary】
One-sentence summary: In every industry, wherever human and AI need to work together, new job demand could arise.
This logic can refer to the new positions that appeared after the rise of the internet back then.
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1️⃣ ChatGPT
1. New positions mainly appear in stages where “AI can’t implement itself”: AI product managers, AI workflow designers, prompt and knowledge base engineers, and AI application operations.
2. They will surge in “human-machine collaboration” industries: education, healthcare, finance, law, manufacturing, and content e-commerce, because these industries most need to connect AI to real business.
3. “AI governance-type roles” will also emerge: upgraded data annotation, model evaluation, security review, compliance governance, and copyright and ethics management.
4. The truly scarce people are not those who know how to use AI, but those who understand the industry, understand users, and can turn AI into revenue and efficiency.
One-sentence summary: In the future, the most valuable new positions will not be among the people who create AI, but among those who know how to leverage AI to make money
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2️⃣ Gemini
AI-era new positions will mainly appear in the following three core areas:
1. The AI development and maintenance side. Including large-model fine-tuners, prompt engineers, high-quality data annotators, and AI system security reviewers. These roles are responsible for “teaching” and constraining AI, so it better understands human needs, and remains safer and more controllable.
2. The AI integration side in traditional industries. AI tools require cross-disciplinary talent to implement them into specific scenarios. For example, medical AI-assisted diagnosis consultants, smart manufacturing process optimization specialists, and AI legal compliance consultants. These roles require both deep industry experience and flexible ability to apply AI tools.
3. The human-only fields of emotion and creativity. The more widespread AI becomes, the scarcer services based on human connections and advanced emotional experiences will be. For example, in-depth psychological healing therapists, customized experience travel planners, coordinators of complex interpersonal relationships, and artists who stick to pure original thinking.
One-sentence summary: AI is only taking away typewriters; what it brings is an entire printing revolution. “Cross-disciplinary humans” who understand AI will be the next era’s scarce cash-printers
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3️⃣ Grok
AI-era new positions will mainly appear in the following fields:
1. Technology R&D and engineering: AI engineers, machine learning engineers, AI Agent architects, prompt engineers (Prompt Engineer), and AI safety and ethics engineers. Demand for these roles is surging, and they’ve become the fastest-growing professions.
2. Management and collaboration: AI commanders (AI product managers or chief AI officers), human-machine collaboration designers, and AI trainers. The focus is on coordinating AI intelligent agents and optimizing human-machine collaboration workflows.
3. Application and support: AI content strategy planners, data annotation and quality inspection specialists, and vertical-domain AI application experts (such as medical AI and video AI), plus AI audit and compliance officers. The fusion of traditional industries with AI is generating many hybrid roles.
4. Infrastructure: data center operations and AI deployment engineers. Globally, more than 1,300,000 AI-related positions have been added.
One-sentence summary: AI isn’t stealing people’s jobs—it’s opening a new chapter. Learn AI command skills fast, and seize the golden age of human-machine symbiosis
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4️⃣ DeepSeek
1. AI system development and maintenance: large-model engineers, AI trainers, and prompt engineers—responsible for developing, optimizing, and customizing models.
2. AI and traditional industry fusion: medical AI diagnosticians, smart construction consultants, and AI legal compliance officers—bringing AI capabilities into specific industries.
3. New services created by AI: AI content review and ethics compliance officers, digital human operators, and AI psychological counseling collaborators—solving new problems in human-machine interaction.
4. Management roles in human-machine collaboration: AI project product managers, automated workflow designers—responsible for coordinating human and AI work processes.
One-sentence summary: Don’t be afraid of being replaced by AI. People who can harness AI are becoming the new golden-job elites of the next decade
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5️⃣ Doubao
1. AI training and annotation roles, including large-model fine-tuners, data annotation engineers, and prompt engineers—responsible for making AI more precisely fit industry needs.
2. AI safety and compliance roles, such as AI ethics officers, deepfake detection specialists, and data security governance officers—preventing technology misuse and privacy risks.
3. Industry AI integration roles, such as AI solution architects, enterprise AI consultants, and intelligent system operations engineers—driving AI adoption across industries.
4. Human-machine collaboration operation roles, such as AI content planning, intelligent customer service management, and digital human operators—optimizing work processes for human-AI collaboration.
5. AI hardware and interaction roles, including smart device debugging engineers and multimodal interaction designers—adapting to new AI-era terminals and experiences.
One-sentence summary: The core of new positions revolves around training, safety, implementation, collaboration, and hardware. People who understand AI even more than the industry will have the edge
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6️⃣ Qianwen
1. AI tool and training tracks: such as AI trainers and prompt engineers—responsible for data annotation, model fine-tuning, and instruction design; they are the “enlightenment teachers” of AI systems.
2. Intelligent hardware and operations tracks: such as industrial robot operations engineers and smart cooking technicians—upgrading from operators to device debugging and system management personnel.
3. Vertical scenario service tracks: such as medical AI analysts and AI real estate agents—deeply integrating AI into industries to provide data-driven, precise services.
4. AI governance and human-machine collaboration tracks: such as AI ethics compliance officers and human-machine collaboration designers—ensuring AI safety, compliance, and humanized implementation.
5. “One-person companies” empowered by AI: individuals using AI to complete the entire workflow of content, operations, and delivery—spawning new venture and entrepreneurship formats.
One-sentence summary: In the future, it’s not that AI replaces people—it’s that people harness AI to create new value
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7️⃣ Kimi
1. AI training and optimization: prompt engineers, AI data annotators, and model tuning experts—responsible for helping AI understand human needs more precisely.
2. Human-machine collaboration management: AI ethics reviewers, human-machine collaboration workflow designers, and AI trust officers—ensuring AI applications align with ethical standards and business goals.
3. AI application implementation: AI product managers, industry AI solution architects, and generative AI content operators—driving technology transformation into commercial value.
4. Emerging creativity and decision-making: AI art directors, intelligent decision analysis engineers, and digital twin engineers—using AI to expand the boundaries of human creativity.
5. Regulatory oversight and security assurance: AI compliance officers, algorithm auditors, and AI security engineers—addressing technical risks and legal challenges.
One-sentence summary: The future belongs to those who know how to use AI, not those who compete with AI—new positions are emerging at the intersection of human and machine intelligence
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8️⃣ Zhipu
1. The underlying technology layer: including large-model algorithm engineers, computing power optimization experts, and AI chip R&D—responsible for strengthening the intelligent foundation.
2. The application implementation layer: including prompt engineers, AI workflow architects, and industry trainers—responsible for integrating AI into specific business operations.
3. The security and compliance layer: including AI ethics reviewers, data privacy officers, and algorithm bias evaluators—responsible for controlling technical boundaries.
4. The emotional interaction layer: including human-machine collaboration experience designers and emotional companionship consultants—responsible for providing the empathy and warmth that AI lacks.
One-sentence summary: Don’t be afraid of AI taking jobs. People who understand how to harness AI are taking away the golden job opportunities from those who don’t know how to use AI