AI won't become a real coworker until it stops answering and starts finishing tasks
Your AI agents aren't coworkers yet. Tencent research shows why: they answer questions instead of finishing work.
Why it matters
A Tencent-led research paper reframes the AI capability gap: the shift from reactive chatbots to autonomous agents requires persistent workspaces and skill reuse, not just better language models. This matters for leaders evaluating when AI can truly replace or augment human roles.
The key facts
9 to knowResearch from Tencent and Chinese universities
Focus on transition from chatbot to 'digital colleague'
Key requirement: task completion in persistent work environments vs. single-turn answers
Technical enabler: combining persistent workspaces with reusable skills
Implies current AI systems lack autonomous task execution capability
Survey paper by Tencent and Chinese universities
Key finding: AI needs persistent workspaces, not just answer generation
Capability gap: reusable skills required for 'digital colleague' behavior
Shift from conversational to task-completion framing
Go to the source
The Decoderthe-decoder.com
Publisher excerpt: A survey paper by Tencent and several Chinese universities traces the path from chatbot to "digital colleague." AI systems won't become reliable coworkers, the researchers argue, until they finish entire tasks in persistent work environments instead of just generating answers. The key lies in…