Weather impacts sales. Every retailer knows it. But for most, the likelihood that it might rain, snow, or sleet on the third of March somewhere in the Midwest is rarely used. Vendors such as Weather Trends have offered accurate, long-range forecasts for more than 20 years. But the opportunity is not predicting the weather; it's knowing what to do with the data. AI might change that.
Data science and artificial intelligence are fundamentally redefining what constitutes skill in investment management, shifting the sources of sustainable competitive advantage in ways most firms have yet to comprehend. This is not about automating existing workflows. It is about reconceptualizing which analytical tasks can be systematized and which genuinely require human judgment, then rebuilding investment processes around that distinction. Firms that fail to recognize this depth are not simply adopting tools more slowly. They are misunderstanding the nature of the change itself.
As investors become more sophisticated and debt service coverage ratio (DSCR) lending continues to grow, the appraisal has moved from a back-office requirement to a central risk-control mechanism, especially for income-driven loans. STR income does not behave like traditional rental income; yet, it is often evaluated using tools and assumptions designed for long-term leases. When nightly pricing, seasonality, operational intensity and regulatory exposure enter the equation, the old appraisal playbook starts to break down.
Prudent AI seeks to streamline this process to keep lenders from switching tools, reconciling results across platforms or being surprised by income calculations deep into the loan approval timeline. The company claims that, in some cases, the juggling of multiple tools causes disqualifying factors to not be uncovered until 28 days after borrower engagement begins. One tool. All income types. All loan programs, Jayendran GS, co-founder of Prudent AI, said in a statement.
Leading the pack has been the rise in agentic coding tools. These tools, such as Gemini Jules, Claude Code, and OpenAI Codex, are capable of writing entire programs and products. I put both Codex and Claude Code to the test, creating four plug-in add-on security products for WordPress using Codex, as well as a full-featured iPhone app using Claude Code.
Last year was dismal for the real estate market, and he expects things to improve only marginally in 2026. (If January's historic drop in home sales is indicative, that even is overoptimistic.) "The way to think about it is that there were 4.1 million existing homes sold last year-a normal market is 5.5 to 6 million," Wacksman says. He hastens to add that Zillow itself is doing better than the real estate industry overall.
For most of modern finance, one number has quietly dictated who gets ahead and who gets left out: the credit score. It was a breakthrough when it arrived in the 1950s, becoming an elegant shortcut for a complex decision. But shortcuts age. And in a world driven by data, digital behavior, and real-time signals, the score is increasingly misaligned with how people actually live and manage money.
It's about replacing entire layers of business process management with intelligent systems that route work, make recommendations, and execute decisions autonomously. PEGA builds workflow automation and CRM software specifically designed for this transformation. The company generates $1.73 billion in trailing revenue with a 16.1% profit margin, focusing on AI-driven customer engagement and process automation. Recent quarters show dramatic profitability improvement, with Q1 2025 delivering $85.4 million in net income after the company posted losses in 2022.
