Data Reports
Structured analysis and data visualization of curated industry research.
AI-Native Work 2026: The Trust Gap, Harness Engineering, and the Knowledge Flywheel
Tencent Research Institute's AI-Native Work Report 2026 uses the Trust Gap as its prism to trace the learning curve from 'using AI' to 'mastering AI': adoption of AI coding tools rose to 84% while trust in them fell to 29%, and users who felt 20% faster were actually 19% slower. The report argues the human–AI collaboration dilemma is not a capability problem but a system-design problem—the way out is Harness Engineering (designing the environment AI works in, not babysitting its output), rebuilt on four pillars (memory, skills, evaluation, context) across end-to-end workflows. What ultimately compounds into a competitive moat is the Knowledge Flywheel: writing practice down, remembering it, and connecting it.
AI Career Trends in 2026: From 2% Penetration to 39% Job Market Share - A Market Transformation
Based on large-scale recruitment data from 2024-2025, this report reveals a dramatic shift in the AI job market: AI-related positions surged from 6.58% in Q4 2020 to 39.47% in Q2 2025, with an AI Skill Premium reaching 79%. Simultaneously, enterprise demand for AI talent exhibits dual characteristics of "pyramid apex concentration" and "high education/high experience requirements." Notably, 52.2% of newly created traditional positions are transforming into AI-related roles. While Large Language Models and Natural Language Processing remain core hotspots, AI skills are rapidly permeating generalist positions in sales, operations, and analysis, fundamentally reshaping the competitive landscape of careers.