As artificial intelligence technology is widely implemented, the negative effects caused by aggressive layoffs in some companies are now becoming evident, and the industry is experiencing a rational return from "completely replacing humans" to "human-machine collaboration."

According to the latest report released by the research firm Orgvue, 55% of the 39% of company leaders who laid off employees due to AI deployment admitted that the decision was a mistake. Intuition Labs' research also pointed out that focusing solely on technological replacement while neglecting employee training can lead to teams being unable to effectively utilize AI due to a lack of key supervisors.

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Jessica Zhang, Senior Vice President of ADP Asia-Pacific, pointed out that the inconsistency and inaccuracy of AI outputs have forced companies to reintroduce human supervision, which has instead led to redundant work and reduced productivity. Currently, Ford has announced rehiring hundreds of senior engineers to address quality issues that automated systems cannot handle; the Commonwealth Bank of Australia had to withdraw its layoff decisions after its AI customer service system failed; and IBM, after experiencing AI's inability to handle certain complex HR requests, plans to double the number of entry-level hires across all its U.S. business units by 2026 to prevent talent gaps.

The current strategic shift of global tech and manufacturing giants indicates that building an adaptable human-machine collaboration ecosystem is more commercially valuable than blindly pursuing full automation.