Baidu says AI spending needs redesigned work to pay off, cites internal agent growth
Overview
Baidu Inc. posted on X that AI token spending keeps rising while revenue and profits lag, because companies replaced the motor without redesigning the factory.
The post, attributed to Robin, argues that productivity gains come from embedding AI agents in sales, customer service, R&D and operations, and that redesigning work is the turning point. The post gives no measured figures on spending, revenue or productivity.
A later Baidu post says its average daily active agents across the business rose from 5K to 37K over the past year, an increase of more than 600%. It also says weekly tasks completed successfully by agents grew from 84K to over 1M, and that employees created 4.3K workspaces and more than 20K reusable organizational skills. These are Baidu's own internal figures, and the post does not link them to revenue or profit.
Written by AI from the articles below · updated Nov 11, 10:15 PM ET
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Developments
2 developments
- Nov 11, 10:12 PM ET · 1 articleBaidu reports growth in internal AI agent useBaidu Inc.: Baidu's internal AI agents grow from 5K to 37K daily active users
- Nov 11, 9:47 PM ET · 1 articleRobin says AI spending fails without redesigning work around itBaidu Inc.: Robin says AI spending fails without redesigning work around it
Article timeline
The articles in this story. Times are ET.
Baidu Inc.@Baidu_IncOfficialBaidu's internal AI agents grow from 5K to 37K daily active usersAIBaidu says average daily active agents across its business rose from 5K to 37K over the past year, an increase of more than 600%. Weekly tasks completed successfully by agents grew from 84K to over 1M, and employees have created 4.3K workspaces and more than 20K reusable organizational skills.
Baidu Inc.@Baidu_IncOfficialRobin says AI spending fails without redesigning work around itAIBaidu's post says AI token spending keeps rising, but revenue and profits lag because companies replaced the motor without redesigning the factory. It argues productivity gains come from embedding agents in sales, customer service, R&D and operations, and that redesign, not replacement, is the turning point.

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