A recent analysis predicts that the rapid adoption of AI agents will trigger massive white‑collar layoffs, create a "ghost GDP" where output never reaches households, collapse SaaS and financial intermediaries, and pressure the housing market, leading to a systemic economic downturn by 2028.
This article analyzes a Scrapy‑Redis crawl of Lianjia data from July 2020, cleans and enriches the dataset, and uses pandas profiling and visualizations to uncover Shanghai’s second‑hand housing price distribution, regional hotspots, housing types, and market dynamics during the first half of 2020.
This data‑driven article examines how much of a young professional’s monthly salary in Beijing is consumed by rent, using Lagou and Ziroom datasets to compare rental costs across districts with typical salaries, revealing that rent can take up to 40 % of earnings.
An Alibaba engineer demonstrates how to scrape Ziroom listings, apply random‑forest feature importance and grey relational analysis to rank shared apartments by size, price and commute distance, dramatically narrowing the search for a perfect rental in Beijing.
