Polls show 71% of people say they do not want a data center built near them, reflecting broad public anxiety about AI infrastructure.
Snapshot · This Week in Tech (Audio)
Polls show 71% of people say they do not want a data center built near them, reflecting broad public anxiety about AI infrastructure.
Where this was said
At 24:03 · chapter starts 22:20
As the conversation turns to public sentiment around AI, Dan Patterson pulls from fresh Blackbird AI research to offer a nuanced picture. The backlash against AI and data centers is real and organic — people have legitimate concerns about jobs, privacy, energy consumption, and the rapid pace of change — but it is also being systematically amplified. Russian and Chinese inauthentic accounts push these narratives into new communities faster and make them seem louder than they actually are. Leo Laporte shares polling data that crystallises the scale of public scepticism: 71% of people say they don't want a data center near them, and only 18% trust AI search results. Daniel Rubino identifies a deeper structural problem: unlike previous technology waves that grew organically from enthusiast communities, AI is being imposed from the top down by companies requiring enormous capital. Ordinary consumers haven't seen meaningful personal benefits, only threats to their livelihoods and a flood of AI-generated slop on social media. Jennifer Pattison Tuohy adds that her daughter's generation is viscerally opposed to AI, particularly around creative jobs and what she sees as the unchecked release of technology whose creators don't fully understand its capabilities.
Public backlash against AI and data centers is genuinely organic — but it hits communities faster and seems louder than it really is because Russian and Chinese inauthentic accounts amplify it. The fear is real; the scale is manufactured.
Only 18% of people say they trust the AI-generated search results they receive, indicating deep public skepticism about AI reliability.
The Trump administration blocked Anthropic's Fable model without congressional consultation or scientific review, labeling an American company a 'supply chain risk.' France and China immediately released competing models, and developers learned they can't count on American AI platforms.
Bhanu and his team built approximately 50 free tools to attract search traffic, each linked back to SiteGPT.
With AI coding tools like Cursor, Bhanu can now create a new free marketing tool in less than 5 minutes by referencing existing tools.
Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
Bhanu sets a minimum search volume of 1,000 monthly searches when selecting keywords to target with free tools.
PropGPT averaged 20 downloads per day right after launching on the App Store through influencer marketing.
Eyal and Yali shut down all marketing and spent 4 months completely rebuilding PropGPT from scratch.
PropGPT has accumulated over 40,000 total downloads since launch.
PropGPT's large language model (AI) operating costs are just $20 per month, and the cost is continually falling.
Ad-based monetization works well for game apps where users spend extended time in-session, as seen with Grid and Wordle.
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