Another viral AI doomsday report claims it s over. Why home prices could take a hit as screen

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-10-02T09:50:58.561Z • Permanent link

Egan-Jones, a leading credit rating agency, has released a viral AI doomsday report that warns of impending disruptions to the housing market. The report, which has garnered significant attention in recent days, highlights the potential consequences of widespread job displacement in the screen-based workforce. According to Egan-Jones, the shift towards automation and artificial intelligence could lead to a shortage of skilled workers in various sectors, including construction and real estate. This, in turn, could drive up housing prices as demand outstrips supply.

The report specifically targets the United States, where a significant portion of the workforce is employed in screen-based jobs. Egan-Jones notes that the COVID-19 pandemic has accelerated this trend, with many workers transitioning to remote work arrangements. However, as remote work becomes more prevalent, the agency warns that a large number of workers may be forced to retrain or seek new employment opportunities. This could lead to a shortage of skilled workers in the construction and real estate sectors, driving up housing prices.

Egan-Jones' report is not the first to sound the alarm on the potential impact of AI on the housing market. In recent months, several other organizations, including the International Monetary Fund (IMF) and the World Bank, have warned of the potential consequences of automation on the workforce. However, Egan-Jones' report is notable for its specificity and detail, highlighting the potential consequences of widespread job displacement in the screen-based workforce.

The Egan-Jones report has significant implications for the data sources domain, which is closely tied to the housing market. Companies such as Zillow and Redfin, which provide data and insights on the housing market, will need to reassess their business models in light of the report's findings. Research communities and policymakers will also need to consider the potential consequences of AI on the workforce, as it may impact the availability and affordability of housing.

The report also has implications for the broader data sources industry, which is heavily reliant on screen-based workers to collect and analyze data. As the report suggests, a shortage of skilled workers could lead to a decrease in data quality and availability, making it more difficult for companies to provide accurate and reliable data to consumers and policymakers. This could have significant consequences for the data sources industry, which is already under pressure to improve data quality and accuracy.

The Egan-Jones report is part of a larger pattern of warnings about the potential impact of AI on the workforce. In recent years, several organizations, including the IMF and the World Bank, have warned of the potential consequences of automation on the workforce. These warnings are based on a growing body of research that suggests that widespread job displacement could have significant social and economic consequences.