1 in 7 job listings are fake
One analysis found that about 1 in 7 job listings are fake 'ghost jobs,' contributing to long job searches.
Snapshot · PBD Podcast
SCOTUS Birthright Citizenship Ruling, Trump's Crypto Payday, AI Fails at Ford | PBD Podcast #826
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Jul 1, 2026
Where this was said
Kalshi's $20M World Cup Deal & the Prediction Market Revolution
At 1:56:10 · chapter starts 1:55:30
Kalshi's World Cup deal is dissected as a masterclass in patient dealmaking: FIFA asked $150 million, nobody bit, the tournament started, and Kalshi swooped in for $20 million for elimination-round exposure alone — an 87% discount.[1] Tom explains the deeper business logic: Kalshi is using the World Cup moment to mainstream prediction markets to audiences who've never heard of them. Patrick then zooms out to the political disruption: campaigns and candidates are terrified of prediction markets because they produce more honest signals than polls. When you ask someone who they're voting for, they perform. When you ask them to put $5 down on the outcome, they reveal their true beliefs. Tom notes that over $100 million of citizen money is currently staked on the 2026 Democratic primary, with Jon Ossoff ahead of AOC — a signal the mainstream media is ignoring. The panel speculates that Kalshi could eventually thread prediction markets into ETF-like indexes that aggregate public probability assessments in real time.
Why You Keep Getting Rejected for Jobs
65% of HR professionals use AI to auto-reject applicants. 1 in 7 job listings are fake. The panel breaks down the real reasons candidates fail — poor tailoring, no preparation, zero people skills — and why human communication is your only competitive edge.
65% of HR pros use AI to auto-reject applicants
65% of HR professionals say AI automatically rejects job applicants before any human review, according to Forbes.
Ford's AI Failure: Team Human Makes a Comeback
Ford rushed to deploy AI across quality checks with 900 AI-powered cameras, then quietly rehired 300+ veteran engineers when the system failed. The problem: AI can't replace decades of tacit knowledge that walked out the door before it could be digitized.
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