EY Canada published a cybersecurity report and most citations were hallucinated

Site usability and presentation

• Strong consensus that the investigative site is almost unreadable due to extreme scroll hijacking, parallax effects, forced pauses, and dual scrollbars.
• Both mobile and desktop users report stuttering, stalls, getting thrown back to the top, and being unable to reach key sections.
• Many say they abandoned the article purely because of the UX, calling it “user-hostile” and wondering why such heavy JavaScript was used.
• Several ask for a plain-text version or rely on browser reader modes, which only partially work and sometimes hide images containing sources.

EY report and hallucinated citations

• Readers note the headline stat about hallucinated citations rises as you scroll; some initially saw ~26%, but the final figure reported is ~60%.
• Many view this as an embarrassment for a premium consulting/audit brand whose business is supposed to be trusted analysis.
• Some argue it confirms that such reports were always mostly “box-ticking” or CYA artifacts rather than serious research.
• There’s concern that chatbots and aggregators will ingest these flawed reports and propagate them as fact.

AI usage, vetting, and hallucinations

• Broad agreement that AI outputs are often not vetted by domain experts, due to overload, cost pressure, or laziness.
• Multiple professionals (especially in law and software) say reviewing AI output can take longer than doing work from scratch, especially where precision and citations matter.
• Others describe productive patterns: using AI for research, gap analysis, or code review rather than primary drafting.
• Discussion of multi-LLM “council” approaches to catch hallucinations: seen as helpful but slower, more expensive, and still not a substitute for human oversight.

Consulting industry and Big Four critiques

• Many see the EY incident as evidence that large consulting firms provide generic, low-value work and are now “vibe-citing” with LLMs.
• Several argue these firms mainly launder blame and justify pre-decided strategies for executives and boards.
• Some describe long-standing issues: overworked or inexperienced staff, declining audit quality, and advice that’s risk-averse and non-actionable.

Work, incentives, and broader concerns

• Commenters highlight systemic incentives: “generate now, review later” mirrors tech-debt patterns and short-termism.
• There’s anxiety about AI hollowing out skilled roles, turning experts into overworked proofreaders of “AI slop.”
• Others think AI will expose weak management and could eventually diminish the need for traditional consultants.