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Are Europe's fastest-growing startups hiring wrong? | Sifted

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Scaling a startup in Europe has never been more competitive. Funding is flowing and AI is accelerating product cycles, yet the race to hire the right people quickly has never felt more urgent. Many founders still run their entire hiring process from a spreadsheet, not out of laziness, but because the market built tools for the wrong customer.

The dominant recruiting software was designed for large organizations with six-figure implementation costs and teams of ten recruiters, not founders juggling product, sales, and investor relations. Entry-level alternatives remain complex and time-consuming, designed around the assumption that someone has hours to spare managing a pipeline. Most early-stage founders improvise, managing hiring across spreadsheets, shared documents, email threads, and Airtable trackers.

CVs get forwarded to group chats, feedback lives in someone's head, and offer conversations happen over WhatsApp. The process works until it doesn't, and by then the candidate has already accepted another offer. The average early-stage founder spends between 30-40% of their time on hiring during a growth sprint.

Most of that time is spent on administrative work — writing job descriptions, chasing feedback, scheduling calls, and following up on cold applications — rather than evaluating candidates. That is not a people problem; it is an infrastructure problem. Some teams turn to AI tools like Claude, ChatGPT, or Gemini to score CVs and draft screening questions as a quiet workaround, but this carries regulatory risk under the EU AI Act, which classifies hiring AI as high-risk.

Compliance obligations including transparency, human oversight, bias auditing, and data governance standards catch most ad hoc setups. A new category of AI-native hiring tools is emerging, built specifically for founders to move quickly without large recruiting functions, with compliance embedded from the start. Rather than replacing human judgment, these tools eliminate the operational weight that slows down hiring, ensuring the best candidates aren't lost among other offers.

Source: Sifted · Summarized by HeadlinesBriefing