'AI washing': firms are scrambling to rebrand themselves as tech-focused

Investor incentives and “greater fool” dynamics

  • Many see AI rebranding as classic greater fool behavior: buy into hype hoping to sell to someone even less discerning.
  • Some argue investors feel forced into AI exposure due to portfolio mandates, index inclusion, or fear of missing out, even if they think the narrative is nonsense.
  • Others push back that investing in AI (and companies using it) is rational overall; the problem is naive investors who can’t distinguish substance from marketing.

Notable examples and financial engineering

  • Allbirds shifting from eco shoe brand to AI infrastructure is repeatedly cited as peak absurdity, with claims it’s effectively a shell/SPAC-like maneuver or even “blatant last-ditch” stock pumping.
  • Thread participants also mention “AI blood tests,” “AI basketball hoops,” “AI floorplans,” and “AI lasers for safety” as stretching credibility.

Buzzwords and historical parallels

  • Strong parallels drawn to past fads: dot-com renames, “cloud,” “big data,” “blockchain,” “NFT,” “fuzzy logic,” and product suffixes like “i-,” “e-,” and Oracle’s rotating “internet/grid/cloud/ai” labels.
  • Commenters note that many past “AI” claims were just simple scripts or basic automation. Today, routine automation, search, or Elasticsearch queries are being sold as “AI.”

Real vs superficial AI adoption

  • Some see genuine AI as transformative and expect the economy to become increasingly AI-weighted, with winners and losers like any tech wave.
  • Others emphasize that much of what’s now branded AI could be done more simply with rules, statistics, or conventional software.
  • Several report inside views of embarrassing internal “AI” projects and rebrands that don’t improve products meaningfully.

Public perception and backlash

  • A visible subset of consumers, especially some younger users, treat “AI-powered” as a negative signal and avoid such products.
  • Some argue “AI marketing” signals a company doesn’t understand its real value; a “no AI” stance can even be a positive differentiator.

Broader cynicism about tech and business

  • Many see this as part of a larger “grift/scam economy,” where exit strategies and stock bumps trump building useful products.
  • There is frustration that AI hype is used more to justify layoffs, dark patterns, and short-term valuation spikes than to “do cool stuff.”