Sifted’s podcast episode features Oxford AI ethicist Carissa Véliz discussing how predictive algorithms are reshaping workplaces. Véliz, author of Prophecy: Prediction, Power, and the Fight for the Future, argues that modern AI, like ancient oracles, tends to confirm the preferences of those in power. She warns that unchecked use in hiring or venture‑capital decisions could entrench bias across sectors such as finance and tech.

John Thornhill probes whether the sector’s leading firms can police themselves. Véliz doubts self‑regulation will curb surveillance‑focused designs, insisting that companies must embed human‑centered safeguards. The dialogue also highlights potential legal exposure for boards that ignore algorithmic bias. For investors, the conversation signals heightened scrutiny of AI procurement policies and potential compliance costs as regulators consider stricter oversight of algorithmic decision‑making.

Véliz calls for AI that serves people rather than monitors them, a stance that could reshape talent‑acquisition tools and venture‑funding models. Firms that ignore these ethical warnings risk reputational damage and shareholder pressure. Tech giants that fail to adopt transparent frameworks may see their AI offerings lose market traction as trust erodes. Regulators in the EU and US are drafting rules that could penalize models.