Predicting voter behavior in rapidly growing metropolitan areas has become one of the more persistent challenges in political research, as population influx, uneven ballot-return timelines, and sharp intra-regional differences complicate any single statistical model. A recent test case from Arizona offers a data point worth examining.
Findings published by the Phoenix Herald indicate that G Ratings, a Florida-based political research firm, applied its AI forecasting platform, Odysseus, to Arizona’s 2026 Republican gubernatorial primary and produced a projection that came within 0.4 percentage points of the certified statewide result for winning candidate Andy Biggs — a 73.7% projection against an official tally of 73.3%.
Consistency Across Multiple Candidates
The precision extended beyond the top of the ticket. Runner-up David Schweikert was projected at 14.3%, against an official result of 14.7% — again a 0.4-point gap in the opposite direction. Lower-polling candidates Scott Neely and Ken Miceli were projected at 3.5% and 2.6% respectively, with official results coming in higher, at 7.1% and 4.7%. Averaged across all four candidates, the model produced a margin of error of 1.45%, a range the firm considers notable given the outsized influence Maricopa County’s vote volume typically exerts on statewide results.
The research context here matters. Metro Phoenix has expanded by hundreds of thousands of residents over the past decade, a growth pattern that complicates conventional polling methodology in several specific ways: new subdivisions in areas like Buckeye and Queen Creek bring in voters with no prior voting record to draw on, longer-established precincts such as Scottsdale tend to skew older and vote more predictably, and Maricopa County alone processes a volume of early ballots capable of shifting a statewide outcome within the final ten days before an election.
A Methodological Departure From Aggregate Modeling
Where conventional polling models often treat a metropolitan region as a single, internally consistent bloc, Odysseus was designed around the opposite assumption: that Phoenix functions as multiple overlapping electorates rather than one. According to the firm, the platform tracks localized digital sentiment and neighborhood-level discourse to estimate the intensity of voter support for a given candidate, cross-references that signal against county-level early-ballot return data as it accumulates day by day, and incorporates hyper-local economic indicators — distinguishing, for instance, between a ZIP code experiencing rising housing costs and one where inflation and fuel prices are the more dominant concern.
A G Ratings analyst involved in the project characterized the underlying rationale as a response to the speed at which the region’s political sentiment shifts, arguing that by the time a conventional phone survey concludes, the electorate it measured has already moved on — and that Odysseus was built to track that movement in near real time rather than publish a fixed snapshot that risks being outdated before release.
Implications for the General Election
With Maricopa County positioned as a likely deciding factor in the general election contest between Biggs and incumbent Governor Katie Hobbs, the primary results carry weight beyond a single data point. A model that tracked the region’s fragmented electorate to within roughly half a percentage point during the primary sets a specific benchmark that campaign strategists and researchers alike are likely to scrutinize as county-level vote counts take on national significance heading into the fall general election.
Open Questions for Further Study
Whether this level of precision is repeatable at a larger scale remains an open empirical question. A primary electorate is generally smaller, more ideologically homogenous, and easier to model than a general-election electorate, which draws in a broader and more demographically varied set of voters, greater turnout volume, and a longer, more volatile campaign period. Researchers evaluating AI-assisted forecasting tools will likely want to track whether Odysseus’s accuracy holds, narrows, or widens as it’s applied to a race with substantially different structural characteristics — a test that Arizona’s general election, given Maricopa County’s outsized role, may be well positioned to provide.
International Journal of Research (IJR) 