Joby's Electric Air Taxi Flew Over Manhattan. Passengers Are Years Away.
Joby pulled off a splashy Manhattan demo, but FAA certification and the hard economics of eVTOL still stand between the company and fare-paying riders.
In an article from The New York Times titled “I Tried to Sell My House With a Chatbot”, technology journalist Stuart A. Thompson details his experiment bypassing human real estate agents to sell his upstate New York home using Google's Gemini chatbot. Disillusioned by local agents who predicted he would lose money on the property and put off by the prospect of paying roughly $30,000 in commissions, Thompson relied on AI to write listing descriptions, organize photography, decode real estate jargon, handle high-stakes negotiations, and draft communications to buyers' agents. Despite a few hiccups—such as the chatbot initially suggesting an illegal 0% commission structure that a flat-fee listing service caught—the AI successfully helped cultivate a localized "gold rush" of interest. Thompson ultimately accepted an offer of just over $600,000, pocketing an extra $90,000 when factoring in the final bid premium and the $36,000 saved on agent fees, concluding that AI could soon shift real estate agents from essential professionals into "nice-to-have" conveniences similar to travel agents.
Joby pulled off a splashy Manhattan demo, but FAA certification and the hard economics of eVTOL still stand between the company and fare-paying riders.
As AI agents move money, send emails, and approve workflows, vendors, deployers, and users are all pointing at each other on liability.
A viral post argues the biggest productivity wins come from stable workflows around any good-enough model — not from upgrading every time benchmarks shift.