Klarna Reverses AI-Only Customer Service Push, Rehires Humans
Summary
In May 2025, Klarna CEO Sebastian Siemiatkowski publicly acknowledged that the company's high-profile push to replace customer service agents with AI had produced "lower quality" outcomes. The company reversed course, announcing plans to rehire human agents in an "Uber-style" flexible employment model. The reversal came after Klarna had reduced its customer service workforce by approximately 40% — around 700 positions — by deploying an OpenAI-powered assistant. Klarna's IPO followed in July 2025 at a $19.65 billion valuation.
What Happened
Klarna had aggressively publicized its AI customer service deployment in early 2024, with Siemiatkowski claiming that a single AI assistant was doing the work of 700 agents and reducing average resolution time from 11 minutes to 2 minutes. The announcement was widely cited as a concrete example of AI-driven workforce replacement.
By May 2025, the picture was more complicated. Siemiatkowski told Bloomberg that the AI-only approach had produced measurably worse customer satisfaction outcomes — that quality had declined in ways that affected retention and brand perception. The company announced it would pilot a program allowing freelance human agents to handle customer interactions through an app-based flexible work model, positioning it as a premium "human touch" offering rather than a retreat.
The reversal was notable for its candor. Siemiatkowski did not retreat from the claim that AI had enabled significant workforce reduction — he maintained that figure — but explicitly acknowledged that the outcome quality had not matched expectations, particularly for complex or emotionally charged customer interactions where empathy and judgment matter.
The Klarna IPO in July 2025 valued the company at $19.65 billion, and the company's AI capabilities remained a selling point for investors. The rehiring announcement was framed as a premium-tier strategy rather than a full reversal of the AI-first approach.
Why It Matters
Klarna's trajectory — aggressive AI deployment, prominent public claims about agent replacement, followed by a public acknowledgment of quality shortfalls and partial rehiring — became one of the most-cited data points in debates about the real-world limits of AI customer service automation.
The case complicated the simple narrative of AI-as-displacement. Klarna demonstrated that AI could handle high volumes of routine queries at reduced cost, but also that automation quality degradation can have downstream consequences for customer retention that offset operational savings. The "Uber-style" rehiring model also raised questions about labor conditions: if the choice is between permanent employment and flexible gig work, workforce reduction via AI may not reduce human labor in total but may substantially erode the quality and security of the employment it displaces.
For the broader labor discussion, Klarna provided a concrete example where the "AI is better at everything" narrative ran into measurable customer dissatisfaction — and where a company publicly corrected course rather than doubling down.