But from a real estate investing perspective, not all data center announcements matter equally.

This morning’s economic data painted a picture of steady but unspectacular growth paired with ongoing disinflation, reinforcing the market’s current wait‑and‑see posture.

Its value, however, depends less on the technology itself and more on how its outputs are interpreted.This post provides a general overview of where AI is genuinely useful in real estate market data—and where caution is warranted.Where AI Adds ValueAI is strongest at pattern recognition across large datasets, including:Sales and transaction historyRental listings and rent trendsPermits, construction, and supply pipelinesDemographic and employment dataMacroeconomic indicatorsUsed properly, AI helps identify trend direction, relative risk, and early signals, especially across multiple markets or submarkets.Forecasting: Direction, Not PrecisionAI performs best when:Comparing scenarios rather than predicting exact pricesHighlighting relative market strength or weaknessStress-testing assumptions under different conditionsIt performs poorly when asked to:Time market tops or bottomsPredict regulatory or policy changesCompensate for weak or incomplete dataAI outputs should be viewed as probabilistic, not definitive.Submarket Insights Matter MostThe greatest leverage often appears at the neighborhood and corridor level, where traditional reporting lags.

Week of January 5, 2026 | Market Snapshot for Real Estate & Mortgage ProsAs we kick off the new year, fresh data confirms two important trends: the job market is quietly cooling, and new home construction is slowing more than expected.

Check out the recent YOY trends from 2024 and 2025 on Single Family Properties in NH. Supply is still relatively low for most of the state. We are only seeing supply in the "northern" counties. That said, supply has s...

Week of December 29, 2025 | Market SnapshotAs we close out the year, housing data delivered a surprisingly strong finish.

.-  Does the service make ridiculous claims like having data scientists and engineers on their staff?    

Software can pull the data, but you still need to understand WHY certain comps are higher or lower.

While not a game‑changer on its own, the data was enough to nudge rates higher in an already low‑liquidity, headline‑sensitive environment.Adding to the tone, Treasury Secretary Scott Bessent testified before Congress, emphasizing continued support for a strong‑dollar policy, warning against over‑regulation of the financial system, and defending the administration’s view that the economy remains on solid footing.

In the wholesaling/investing space, the standard benchmark most people shoot for is a 0.5% to 1% response rate (so 5–10 calls for every 1,000 pieces sent).In terms of closings, the 'rule of thumb' is usually 1 deal per 3,000–5,000 mailers, depending on how competitive your market is and how aggressive your follow-up is.That said, I found that the 'cost per deal' was getting eaten up by bad data (returned mail).