Everyday AI Podcast – An AI and ChatGPT Podcast

3 AI Lies Most People Believed In 2025 (But You Shouldn’t)


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You've been lied to about AI. 🤥

A lot. 

So on today's Hot Take Tuesday episode, we're breaking down 3 of the most viral AI half-truths of 2025 and setting the record straight. 

Did Anthropic overtake OpenAI? 

Do 95% of AI pilots fail? 

Is half of the internet AI slop? 

Tune in LIVE and find out. 

3 AI Lies most people believed in 2025 (but you shouldn’t) -- An Everyday AI Chat with Jordan Wilson


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Topics Covered in This Episode:

  1. Three Viral AI Lies of 2025 Debunked
  2. Menlo Ventures Anthropic vs OpenAI Study Critique
  3. Anthropic Enterprise Adoption Market Share Myth
  4. Graphite's "57% AI Content" Internet Claim
  5. AI Content Detector Inaccuracy Exposed
  6. MIT 95% GenAI Failure Rate Study Audit
  7. AI Study Bias and Marketing Manipulation
  8. Best Practices for Evaluating AI Research


Timestamps:
00:00 "AI News: Truth vs. Hype"

04:19 "Debunking AI Myths"

07:08 "Anthropic vs. OpenAI Debate"

10:44 "Menlo Ventures Backs Anthropic"

14:38 OpenAI Dominates Enterprise AI Adoption

18:26 "Exploring AI Content and Detection"

22:16 Watermark Vulnerability in Media

23:36 "MIT AI Credibility Controversy"

29:04 "MIT's Nanda AI Marketing Misstep"

31:27 "AI Investment Delivers Positive ROI"

35:53 "AI Adoption: Pay Attention Now"

36:42 AI Decisions: Misled by Studies


Keywords:
AI lies, 2025 AI myths, generative AI, enterprise AI adoption, viral AI studies, AI misinformation, AI market share, Anthropic, OpenAI, Menlo Ventures, Claude, Microsoft Copilot, API usage, enterprise large language models, AI slop, Graphite study, AI-generated internet content, Surfer SEO, AI content detectors, AI detection accuracy, common crawl database, MIT AI pilot failure study, Nanda MIT, ROI of AI, AI pilots, enterprise software adoption, selection bias, cherry picked data, conflict of interest in AI research, ROI measurement in AI, productivity improvement studies, P&L statements AI, AI marketing, AI innovation, AI statistics, fake AI news, media polarization, unbiased AI research, AI failure rate, agentic AI, enterprise transformation, busin

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