Laura Nurski

@lauranurski.bsky.social

Future of Work • Quantitative social scientist • Head of Programme at CEPS • Independent researcher

Early AI research found that juniors benefit most. But Sarkar (2026) now finds that experienced workers are better at using AI agents than juniors. Because agents require delegation, not execution. Planning, context-setting, output verification. Management skills. www.linkedin.com/pulse/ai-age...

AI agents and higher-order work (Sarkar, 2026)

This paper is only a month old but I find myself referring to it a lot in conversations. So I thought I’d write it up here.

linkedin.com

What if the 𝗴𝗲𝗻𝗱𝗲𝗿 𝗯𝘂𝗿𝗻𝗼𝘂𝘁 𝗴𝗮𝗽 isn’t about gender at all? What if it’s actually about the types of jobs women hold? Read more about the 𝗽𝗶𝗻𝗸-𝗰𝗼𝗹𝗹𝗮𝗿 𝗴𝗵𝗲𝘁𝘁𝗼 and the 𝗴𝗹𝗮𝘀𝘀 𝗰𝗲𝗶𝗹𝗶𝗻𝗴 in my contribution for International Women's Day 2026👇 #IWD2026 @ceps.eu www.ceps.eu/built-for-bu...

Built for burnout – how job design fails women – CEPS

The headlines are clear: women are burning out at higher rates than men. From the  BBC  to  CNBC  and  Psychology Today , media outlets have sounded the alarm,

ceps.eu

𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐢𝐜 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐢𝐬𝐧’𝐭 𝐭𝐡𝐞 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 — 𝐰𝐡𝐚𝐭 𝐢𝐭 𝐨𝐩𝐭𝐢𝐦𝐢𝐬𝐞𝐬 𝐢𝐬. New op-ed: AM is a tool, not destiny. Its impact on job quality depends on 𝐰𝐡𝐢𝐜𝐡 𝐨𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞𝐬 𝐚𝐫𝐞 𝐛𝐮𝐢𝐥𝐭 𝐢𝐧 — and 𝐰𝐡𝐨 𝐠𝐞𝐭𝐬 𝐚 𝐬𝐚𝐲. Algorithms can optimise 𝐦𝐮𝐥𝐭𝐢𝐩𝐥𝐞 𝐨𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞𝐬, including worker-centred ones. 👉 shorturl.at/6APLO @ceps.eu

Algorithmic management isn’t the problem – what it optimises is. – CEPS

Algorithmic management (AM) can undermine job quality when it’s built solely around efficiency – but it can also improve work when human goals and ambitions are

ceps.eu

🤖🌍 Generative AI (GenAI) is one of the biggest uncertainties in the future of work. A new report by Davide Monaco and @lauranurski.bsky.social explores its impact on jobs, from automation risks to opportunities for enhancing human capabilities. READ IT HERE👉 bit.ly/3XvCFK6

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