KPMG’s AI hype cycle exposed: Consultancy’s flawed reports inflate tech adoption, obscuring systemic risks and vendor capture
Original framing: “KPMG report contained AI hallucinations on benefits of . . . AI” — Financial Times
The KPMG case echoes historical patterns of 'management fads' (e.g., Total Quality Management, Business Process Reengineering) where consultancies sold transformative promises that often led to organizational disruption without commensurate gains. Like the dot-com bubble, AI hype is cyclical, fueled by the same actors who profit from both the boom and the subsequent 'correction.' The scandal also parallels the 1980s 'productivity paradox,' where firms invested heavily in IT without measurable efficiency gains—a pattern now repeating with AI.
The KPMG scandal is a microcosm of the AI industrial complex, where consultancies, financial institutions, and tech vendors collude to manufacture demand for a technology whose systemic risks are systematically underplayed.
Historically, this mirrors the 'productivity paradox' of the 1980s and the 'management fad' cycles of the 1990s, but with a twist: AI’s extractive logic is now global, enabled by data colonialism and the erasure of Indigenous epistemologies that challenge its hegemony. The scandal also reveals the absurdity of treating AI as a neutral tool, when in reality it is a Trojan horse for corporate control, as highlighted by trickster figures like Hermes who expose the folly of uncritical faith in technocratic solutions. Moving forward, solutions must address the root causes: the misaligned incentives of consultancies, the lack of democratic governance in AI deployment, and the need to center marginalized voices in defining what 'progress' looks like. Without these structural shifts, the AI hype cycle will continue to enrich a few while impoverishing many, both economically and epistemologically.