Hamel Husain says big consultancies keep overengineering enterprise AI
HamelHusain · x · 2026-07-22
- Hamel Husain says he has rarely seen good results when large consultancies like McKinsey or Accenture build AI systems for clients.
- In his experience across 25+ companies, the recurring pattern is an overcomplicated solution, a heavy slide deck, and unnecessary jargon such as “knowledge graph ontology.”
- He argues the practical fix is usually to tear the system down and add complexity only when there is a measurable reason.
- He also says the incentive structure of big consulting creates long-term dependency, and questions whether mass deployment of this model can create real value.
Related event: Expert Slams McKinsey and Big Consulting for Over-engineering AI Projects(5 posts)→
More from Companies & People
- Anthropic S-1 warns of AI job displacement as Microsoft offers exit to ~27% of staff — _jaydeepkarale · 2026-10-27
- Factory AI hires Alli as VP of New Media and Startups Marketing — matanSF · 2026-10-27
- Founder DIYs her startup logo: $35K branding makes no sense early on — MarwaEldiwiny · 2026-10-27
- a16z opens applications for third New Media Fellowship cohort — a16z · 2026-10-27
- Anthropic S-1: Over half of $100K+ customers now use both Claude platform and first-party apps — RebeccaBellan · 2026-10-27
- Replit CEO on the 'self-driving company': agents to absorb coordination costs by 2030 — amasad · 2026-10-27