AI 导致的裁员正在被逆转——企业承认"用 AI 替代人"的决策失误
来源: CNBC (2026-07-01) + Orgvue 年度调研 (2025-04-29)
CNBC: Employers who laid off workers for AI are reversing their decisions
Published: July 1, 2026
Companies are rapidly changing their minds that artificial intelligence can "do it all" by rehiring employees to propel their businesses forward.
福特 (Ford)
Automaker Ford is reportedly reemploying hundreds of experienced human engineers to work on quality issues automated systems couldn't address. "Artificial intelligence is a fantastic tool, but it's only as good as the information you use to train it," Charles Poon, Ford's vice president of vehicle hardware engineering, told the media.
澳洲联邦银行 (CBA)
Last year, CBA laid off more than 40 customer service staff and replaced them with an AI voice bot. However, the AI system was unable to cope, which led to an increase in calls, prompting CBA to reverse the job cuts. "Getting CBA to rescind these job cuts is a massive win," Australia's finance sector union said. CBA admitted it "did not adequately consider all relevant business considerations" and "we should have been more thorough in our assessment of the roles required."
IBM
IBM replaced its human resources functions with AI that handled around 94% of routine requests but was unable to meet the other 6%, which included ethical dilemmas. IBM then announced plans to triple its U.S. entry-level hiring across all business units in 2026. "If we don't continue to invest in entry-level hires, what happens in three-five years? There's no pipeline; the well simply dries up," IBM's chief human resources officer, Nickle LaMoreaux, said.
数据
- 39% of business leaders made employees redundant due to AI deployment (Orgvue, 1,000+ C-suite survey)
- Among those, 55% admit wrong decisions about those redundancies
- 32% of U.S. hiring managers eliminated a role primarily due to AI and later rehired for the same or similar position (Robert Half)
- "Budgeting on 'tech to replace humans' without investing in training or upskilling left teams unprepared to leverage AI" (Intuition Labs)
分析师观点
"Where AI outputs are inconsistent, inaccurate, or difficult to apply, companies often need to reintroduce human oversight. This can lead to duplicated effort, slower decision-making and diminished productivity gains." — Jessica Zhang, SVP APAC at ADP
"AI is changing the workplace, but it's becoming clear that organizations are finding more value in building human-AI collaboration versus replacing human work entirely." — Capitol Technology University
Orgvue: 55% of businesses admit wrong decisions in making employees redundant when bringing AI into the workforce
Published: April 29, 2025 | Survey: 1,163 C-suite and senior business leaders (US, Canada, UK, Ireland, Australia, HK, Malaysia, Singapore)
关键发现
- 80% of business leaders plan to reskill employees to use AI in the workplace
- 41% have increased their L&D budgets to ensure employees have the right training
- 39% made employees redundant as a result of deploying AI
- 55% of those admit wrong decisions about redundancies
- 48% are concerned AI will replace people (down from 54% in 2024)
- 62% feel responsibility to protect workforce from redundancies (down from 70% in 2024)
- 34% admit employees quit as a direct result of AI
- 47% say employees using AI without proper controls is a top fear
- 51% believe reskilling is strategically important; 80% plan to reskill
- 35% acknowledge lack of AI expertise as top barrier
- 25% don't know which roles benefit most from AI; 30% don't know which are most at risk
- 72% say AI will remain dominant driver of workforce transformation for next 3 years
- 76% confident they'll take full advantage of AI by end of 2025 — but 27% lack a defined roadmap, 38% don't understand AI's impact
CEO 评论 (Oliver Shaw, Orgvue)
"While 2024 was the year of investment and optimism, businesses are learning the hard way that replacing people with AI without fully understanding the impact on their workforce can go badly wrong. We're facing the worst global skills shortage in a generation and dismissing employees without a clear plan for workforce transformation is reckless. Some leaders are waking up to the fact that partnership between people and machines requires an intentional upskilling program."