Brighton event readies mums for an AI-shaped job market

A Brighton event is preparing mothers returning from maternity leave for an AI-shaped job market. The Argus covered the gathering, which treats AI literacy as core career infrastructure rather than optional upskilling.

The session targets a defined audience: women who stepped back from paid work to raise children. It builds preparation around the parts of hiring that have changed fastest across the past three years. Application screening, skills assessments and entry-level task evaluation now run through automated systems before any human recruiter reads a CV.

Without explicit briefing on those systems, mothers risk falling behind peers who never paused their careers.

What gap does the Brighton event address?

Hiring technology has shifted fast since 2022. Mothers who left roles in 2022 or 2023 come back to find screening software (tools that rank applications before a recruiter opens them) and skills-matching platforms dominating entry-level routes. A one- or two-year career break now collides with a hiring process that's changed materially while they were away.

The event points to a structural mismatch in return-to-work support. Programmes designed before generative AI tools entered mainstream hiring rarely cover them. Brighton organisers now treat AI fluency as a baseline requirement. They've rebuilt the curriculum accordingly.

The takeaway: time away from work no longer erodes only networks and recent experience. It also widens a technology gap that returners must close deliberately.

What would the training include?

Sessions built for this audience typically cover three blocks. First, a walkthrough of how applicant tracking systems, or ATS, score applications. That includes keyword optimisation, plain-text formatting, and the parsing pitfalls that drop qualified candidates. Second, an overview of AI-led interview tools, from asynchronous video assessments to chatbot screening and skills-based testing platforms. Third, hands-on practice with generative AI assistants that draft applications, prep answers, and map skill transfers from parenting and volunteering into paid-work language that recruiters' software will recognise.

The takeaway: AI fluency functions as interview prep. It is not a separate qualification.

What does it mean for an individual's market position?

For the returner, the practical implication is concrete and immediate. AI fluency now counts as career hygiene. Mothers re-entering work should expect automated screening as standard practice. They should prepare for skills-based assessments. They should budget time for AI-tool upskilling alongside the childcare logistics that already dominate their week.

Candidates who close the gap fastest treat the technology as routine interview preparation. They don't park it as a separate learning project for later. The competitive edge sits with returners who pair lived parenting experience, often undervalued in CVs, with a working command of the tools hiring teams now use.

What's next?

Expect similar events to spread to other UK cities through 2025. The Brighton session offers a template: short, focused, and targeted at the friction points women face when re-entering after caring leave. Watch for employer-backed versions as hiring teams recognise the cost of an underprepared returner pipeline and the upside of AI-fluent candidates coming back into the workforce.