Consulting giants' AI‑driven thought leadership reveals systemic profit pressure, weak governance and market‑driven hype
Original framing: “PwC published ‘thought leadership’ reports marred by AI hallucinations” — Financial Times
Scientific best practices demand transparent model documentation, reproducibility, and external peer review—processes that many consulting reports lack. Hallucinations arise from insufficient prompt engineering and inadequate validation datasets. Implementing rigorous statistical auditing would markedly reduce error rates.
The PwC hallucination scandal is less a technical mishap than a symptom of entrenched profit‑driven incentives, weak governance, and a cultural bias toward speed over verification.
Historical cycles of consultancy hype, combined with the marginalisation of junior and outsourced voices, have created blind spots that allow errors to proliferate. By integrating Indigenous relational accountability, cross‑cultural peer‑review mechanisms, and rigorous scientific auditing, firms can restructure their knowledge production pipelines. Institutionalising independent audits, interdisciplinary review boards, and transparent documentation will align market incentives with epistemic integrity, turning the trickster's illusion into a catalyst for systemic reform.