OVI is the AI-native ATS where you chat to hire. Two AI agents — Sora for sourcing and Milo for screening — find candidates, score every CV, and run AI interviews, all controlled from a single chat.

What does "chat to hire" mean?

Chat to hire is OVI's AI-native hiring workflow: instead of clicking through a traditional ATS, you describe what you need in chat and OVI's AI agents source candidates, screen applicants, run AI interviews, and send outreach for you.

What is an AI-native ATS?

An AI-native ATS is an applicant tracking system built around AI agents rather than forms and pipelines. OVI's AI chat ATS lets recruiters source, screen, interview, and follow up through conversation — the agents do the work and surface only the candidates worth meeting.

Who are Sora and Milo?

Sora is OVI's AI sourcing agent — she scans LinkedIn, the open web, and your ATS history to find best-fit candidates and reach out in your name. Milo is OVI's AI screening agent — he scores every applicant against your rubric and surfaces a ranked shortlist.

How do OVI's AI interviews work?

OVI runs async AI interviews for every shortlisted candidate and returns scores, transcripts, and recordings — so your team only meets the people worth meeting.

ECB Study: AI-Adopting Firms in Europe Are 4% More Likely to Hire — But Not All AI Use Is Equal

2026-06-19

The prevailing narrative — that artificial intelligence will hollow out the labour market — just ran into a wall of European data.

A March 2026 study published by the European Central Bank, drawing on a survey of approximately 5,000 euro area firms, found that companies making significant use of AI are roughly 4% more likely to have increased their workforce than firms that do not use AI at all. The finding, based on data from the ECB's Survey on the Access to Finance of Enterprises (SAFE) covering Q2 and Q4 2025, challenges the assumption that AI adoption is a one-way ticket to headcount reduction (ECB Blog, March 4, 2026).

But the headline number tells only half the story. How a firm uses AI matters as much as whether it uses AI at all.

What the Data Says

The ECB research reveals a wide gap between AI usage and AI investment. Sixty-six percent of euro area firms report using AI in some capacity, but only 25% have made dedicated AI investments — a distinction that carries real workforce implications (ECB Economic Bulletin, 2026).

Firms classified as significant AI users are approximately 4% more likely to have expanded headcount. Firms that have invested in AI — a smaller, more committed cohort — are approximately 2% more likely to have hired. Both findings are drawn from ordered probit regression analysis controlling for firm characteristics, and both point in the same direction: AI adoption correlates with hiring growth, not contraction (ECB Blog, March 4, 2026).

The survey covers approximately 5,000 firms across the euro area, making it one of the most comprehensive employer-level datasets on AI and employment published to date.

The Split: Innovation vs. Cost-Cutting

The aggregate numbers mask a critical divide. Hiring gains are concentrated among firms deploying AI for research, development, and innovation — not among those using it primarily to reduce costs.

Only 15% of AI-using firms cite labour cost reduction as a primary motivation for adoption. That minority tells a different story: firms focused on cost-cutting through AI show higher rates of layoffs, not hiring growth (ECB Blog, March 4, 2026).

The size of the firm matters too. The positive hiring effect is driven by small firms; for large firms, the relationship between AI adoption and employment change is neutral (Cyprus Mail, March 16, 2026). This suggests that smaller organisations are using AI to grow into new capabilities, while larger firms may be rebalancing rather than expanding their workforces.

Who Benefits Most

Small and young firms stand out in the data. Companies less than five years old report 56% advanced AI adoption rates — higher than their more established counterparts — suggesting that newer entrants are building AI into their operating models from the start (ECB Economic Bulletin, 2026).

AI-intensive firms — those allocating approximately 20% of their total investment to AI — expect employment growth of +1.3 percentage points, a meaningful signal for workforce planning (ECB Economic Bulletin, 2026).

For HR leaders at growth-stage companies, these numbers validate what many already sense: strategic AI investment is not a substitute for talent — it is a catalyst for hiring.

The Honest Caveat

The ECB data does not support uncritical optimism. German firms surveyed expect net job reductions over a five-year horizon, even as short-term hiring remains positive (Modern Diplomacy, March 4, 2026). The long-term displacement risk has not disappeared; it has been deferred.

The current data captures a moment in which AI is still being integrated into workflows. As adoption matures and automation capabilities expand, the balance between job creation and displacement could shift — particularly for firms that transition from innovation-led to efficiency-led AI strategies.

What HR Leaders Should Do Now

The ECB findings give workforce planners a concrete framework. The question is no longer whether your organisation uses AI — two-thirds of European firms already do. The question is how.

Audit your AI deployment against the two cohorts the ECB identifies. If AI is being used to drive innovation, develop new products, or expand capabilities, the data suggests you are in the hiring-growth camp. If the primary justification is headcount reduction and labour cost savings, the evidence points toward higher attrition risk and a more precarious workforce outlook.

For CHROs and talent acquisition leaders, this means aligning AI strategy with talent strategy — not treating them as separate conversations. The firms that are hiring are the ones using AI to do more, not to employ fewer people. That distinction will increasingly separate organisations that attract top talent from those that struggle to retain it.