In a sea of hype, here are the AI ‘nothingburgers’ you don’t hear about
Summary
The article highlights "AI nothingburgers," which are widely promoted AI non-events that fail to meet expectations in real-world applications, contrasting with the pervasive "AI slop" of poor-quality content. Examples include the 2025 Merriam-Webster word of the year, AI-generated emails, and hallucinated references in a Deloitte report and NeurIPS papers. The much-hyped Khanmigo AI tutor, supported by OpenAI, Microsoft, and the Gates Foundation in 2023, was declared "dead" by 2026, failing to "revolutionize education" as Sal Khan claimed. Similarly, AI agents, despite claims by Jack Dorsey that they could replace line managers, proved ineffective in practice, leading to "endless chatter" at Every startup. OpenAI's Sam Altman and Anthropic's Dario Amodei also retracted their 2025 "job apocalypse" predictions. Even in science, Google DeepMind's GNoME project, which claimed 2.2 million new material structures, was later largely dismissed by experts as hallucinations. This pattern underscores the need for AI literacy to distinguish hype from genuine breakthroughs.
Key takeaway
For Directors of AI/ML evaluating new tools, recognize that many highly promoted AI solutions are "nothingburgers" that fail to deliver. Do not solely rely on vendor claims; instead, demand concrete evidence of real-world efficacy and ROI. Prioritize solutions with proven value over those driven by hype to avoid costly non-events and ensure your investments yield tangible results. Continuously foster AI literacy within your teams.
Key insights
The AI industry frequently overhypes capabilities, leading to "nothingburgers" and "slop" that fail to deliver real-world value.
Principles
- AI hype often precedes real-world utility.
- Cognitive offloading can hinder learning.
- Vested interests drive AI industry hype.
Topics
- AI Hype Cycle
- AI Agent Limitations
- AI in Education
- Model Hallucinations
- Cognitive Offloading
- Khanmigo
Best for: AI Product Manager, Product Manager, Investor, General Interest, Consultant, Director of AI/ML
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial intelligence (AI) – The Conversation.