The Tampa Bay Times has quietly put a robot on the beat, rolling out a machine-written feed that cranks out short, template-style items across its real estate and weather pages. The Times AI News Engine, live since September 2025, regularly posts brief home-sale notices and near-real-time weather alerts that carry the byline “Times AI News Engine.”
On the site, these pieces typically appear as single-paragraph data blurbs with little beyond the raw details of a sale or the text of an advisory. A recent sale notice, for example, runs under that automated author line on the Times site, and similar one- or two-sentence real estate and weather updates now dot those sections. See a sample Tampa Bay Times post.
How the system works
The AI items are generated from template-based automation that plugs structured public data into prewritten story slots. Property-record filings and National Weather Service alerts supply most of the raw material. The rules-driven setup is intended to scale up routine coverage while keeping final editorial control with newsroom staff. United Robots offers similar automated content tools for real estate, sports and weather coverage.
Editors say human oversight remains
The Times’ executive editor has pitched the tool as a helper, not a newsroom replacement. “This is additive, supplementary coverage,” he told reporters. According to Creative Loafing Tampa, Mark Katches said the paper has published roughly 50 AI-generated items over the past six months, and that the real estate templates are reviewed and edited by staff before they go live.
Disclosure and ethics
The Times currently tags AI-written stories with a short disclosure on pages that use the system, though it has not posted a full, public AI-ethics policy on its site. Both live stories and archived versions include language explaining that AI and templates were used in the production. At the same time, Poynter’s guidance for news outlets urges clear, audience-facing policies and disclosures around AI use. See a machine-generated Times example and Poynter’s recommendations: Tampa Bay Times and Poynter.
Local meteorologists urge caution
Some of the people most used to live, high-stress communication are wary of handing too much over to software. Local broadcast meteorologists say speed is great, but nuance is non-negotiable, particularly during dangerous weather when context and neighborhood-level expertise can shape what people decide to do. “You’re not just giving a forecast. You’re taking the person by the hand and helping them through the event,” WFTS chief meteorologist Denis Philips told Creative Loafing Tampa.
The Times has framed its AI experiment as a way to bulk up everyday coverage without cutting newsroom jobs. Critics counter that the wider industry still lacks strong, public guardrails around how machine-assisted reporting should work. For now, the stated safeguards are template design, editor review on most items and a footer disclosure. Whether that will satisfy local readers and journalists as automated reporting expands is the test playing out in Tampa Bay’s backyard.
