We thought AI would take call-centre jobs (Remember Research AI customer experience report)
AI가 고객센터 상담원 일자리 뺏을 줄 알았는데
C · Weak signal ZDNet Korea news brief relaying a survey by Remember & Company's research unit on AI in customer service; the figures are interesting, but sample size, dates and method are not given and the article adds nothing beyond the release.
Summary based on the full text·Original: about 3 minutes to read
In short
A ZDNet Korea article (30 October 2026) on an "AI customer experience report" by Remember Research, the research arm of Korean business-network company Remember & Company. It surveyed customer-service practitioners and decision-makers in four sectors. Firms not yet using AI expect cuts, but among firms using it, more redeployed or added staff than cut. Customers still ask for humans, and the main difference between strong and weak results was whether the firm had set rules for when a human takes over.
Key numbers
- 18% / 29% / 45%AI-using firms that cut CS staff / added staff / redeployed without cuts
- 36%firms not using AI that expect staff cuts
- 50%firms citing customer requests for a human agent as the main reaction after AI adoption
- 78% vs 32%high versus low performers that set handoff-to-human criteria in advance
- 8%AI-using firms that have formally written those handoff criteria
As reported by the source.
Korean·Web page·opens zdnet.co.kr
What it reports
- Sectors: manufacturing and construction; finance, insurance and securities; retail and e-commerce; IT, telecoms and services.
- 36% of non-adopters expect staff cuts; among adopters, 18% cut, 29% added staff, 45% redeployed without cuts.
- Main customer reactions after AI: requests for a human agent (50%) and repeat contacts on the same issue (45%).
- Internal metrics (response and wait time, handling cost) improved for an average 65% of firms; customer-facing metrics (satisfaction, brand image) for an average 52%.
- 78% of high-performing firms had set handoff criteria in advance versus 32% of underperformers. Reasons for disappointing results: customers asking for a human (56%) far ahead of answer accuracy (16%). Only 8% of adopters have written criteria.
- Skills wanted in CS staff are shifting from emotional response and empathy (30%) to AI tool use (53%) and data interpretation (44%).
- 74% have adopted or are piloting AI in customer service; 6% have extended it company-wide across all channels; 53% plan to raise AI investment within a year.
- Next areas planned: summarisation and auto-classification (30%), voicebots (26%), real-time agent assist (24%).
How they got it
A survey by the company's own research service; the article gives no sample size, fieldwork dates, response method or definition of "high performer".
Limits
- No sample size or method; percentages cannot be weighed.
- Survey sponsor sells research and recruitment services; self-reported by firms.
- Staffing outcomes are firm-level responses, not headcount data.
- News relay of a release with no independent reporting.
Why it matters for companies
If the pattern holds, the decision that matters in customer-service AI is the handoff rule, not the model: when the bot stops and a person takes over. Few firms have written one down. Companies should treat handoff criteria as a designed, documented policy and track customer-side metrics alongside cost and wait time, since the two diverge.
Key passages in translation
Korean original
AI를 도입하지 않은 기업의 36%는 인력 감축을 예상했으나, 실제 AI를 운용 중인 기업 가운데 인력을 줄인 곳은 18%에 그쳤다.
36% of firms that had not adopted AI expected staff cuts, but only 18% of firms actually running AI reduced staff.
Korean original
다만 이러한 인계 기준을 공식 명문화한 기업은 AI 도입 기업 중 8%에 그쳤다.
However, only 8% of AI-adopting firms had formally written such handoff criteria.
Summary based on the full text. Read the original for the full argument and data.Read the original on zdnet.co.kr