The EU gender pay gap stands at 12.7%, meaning women earn, on average, 87.3 cents for every euro earned by men in equivalent roles (Eurostat, 2022). The explanations are numerous: unconscious bias, negotiation gaps, career interruptions, occupational segregation. But one driver is systematically underexplored — information asymmetry.
What you don't know costs you
Salary negotiation is a game of incomplete information. Companies know exactly what they pay across the organisation, what the market rate is for every role, and what the budget ceiling is for your position. Most candidates walk in with a rough number from a salary aggregator — and that number is often understated, particularly for women, because women historically underreport salaries in surveys.
This information gap compounds over a career. A below-market starting salary anchors every subsequent raise, promotion, and lateral move. The result isn't just a pay gap at a single point in time — it's a compounding gap across decades.
How AI changes the negotiation equation
AI tools give individual candidates access to the kind of market intelligence that used to require expensive recruiters or insider networks. That shift matters most for anyone without access to those networks — and the data consistently shows women and first-generation professionals are disproportionately excluded from them.
- Benchmark your compensation across roles, seniority levels, geographies, and company sizes in minutes — not weeks
- Identify the precise gap between your current package and what comparable candidates are earning, with specifics by sector and location
- Prepare for objections, script negotiation language, and practise responses before the conversation happens
- Analyse job descriptions to identify scope creep that objectively justifies a higher salary band
What fair matching actually looks like
Pay transparency is moving from a policy conversation to a technical one. The EU Pay Transparency Directive (2023/970/EU) requires employers to disclose salary ranges — but disclosure alone doesn't remove the anchor effect of a candidate's previous salary. Platforms that match candidates to roles based on demonstrated skills, not proxies like degree prestige or previous pay, remove that anchor at the point of application. When your match score reflects what you can do, not what you've previously been paid, the ceiling lifts.
This is the foundation Lyra is built on. Transparent, skills-based matching means the information disadvantage disappears before the negotiation even begins.
The practical step you can take today
Before your next negotiation: spend 30 minutes with an AI tool benchmarking your role against market data. Build your number from that data, not from what you think sounds reasonable. The shift in confidence alone changes how the conversation goes — and it starts with having the right information.
Frequently asked questions
- What is the gender pay gap in Europe in 2024?
- According to Eurostat data, the EU gender pay gap stands at 12.7% (2022 figures, the most recent available). This means women earn on average 87.3 cents for every euro earned by men in equivalent roles. The gap varies significantly by country — from under 1% in Luxembourg to over 18% in Estonia.
- What is information asymmetry in salary negotiation?
- Information asymmetry in salary negotiation means one party — typically the employer — has significantly more information about market rates, internal pay bands, and budget ceilings than the other party (the candidate). This imbalance systematically disadvantages candidates who lack access to insider networks or professional salary benchmarking resources.
- How can AI tools help close the gender pay gap?
- AI tools help by democratising access to salary data, enabling rapid benchmarking, and helping candidates prepare for negotiations more thoroughly. Rather than relying on network connections or expensive recruiters to understand market rates, any professional can now access comparable information and use it to negotiate from a stronger position.
- What does the EU Pay Transparency Directive require?
- EU Directive 2023/970/EU requires employers to disclose salary ranges in job postings and to provide pay information to employees on request. Member states must implement it by June 2026. It is designed to address systemic pay inequality, though critics note disclosure alone does not remove anchoring effects from prior salary history.