世界经济论坛-未来的工作：大型语言模型和工作（英）-2023.9-34页_2mb

Large Language Models (LLMs) are reshaping the job landscape by automating routine tasks and augmenting complex ones, with significant implications for employment. Key findings include:

• Routine tasks like data entry and administrative work are highly automatable, affecting jobs such as Credit Authorizers and Telemarketers.
• Complex tasks requiring abstract reasoning are augmented, benefiting roles like Insurance Underwriters and Bioengineers.
• Emerging jobs include AI Developers, Interface Designers, and AI Ethics Specialists, driven by LLM adoption.
• Industries like finance and IT face high exposure, while healthcare and manual labor roles are less affected.
• Job growth is expected for augmented roles like Data Analysts, while decline is predicted for highly automatable positions.
• Proactive measures, such as reskilling and policymaker interventions, are needed to maximize benefits and minimize risks from LLMs.