AI Model Makes Stunning Prediction of 2028 Presidential Winner
A new artificial intelligence-driven projection is drawing attention online after offering a hypothetical look at how the 2028 presidential election could unfold—despite the race still being years away and no official candidates declared.
The simulation was generated using Grok, an AI model developed by a company tied to tech entrepreneur Elon Musk. The forecast came in response to a request from a YouTube creator, who asked the system to model a potential electoral outcome using a set of assumed candidates from both major political parties.
“In this video, I asked Grok AI to predict the 2028 presidential election and give us a map forecast,” the host explained.
Based on the simulation, Vice President JD Vance emerges as the projected winner, defeating Kamala Harris with 312 electoral votes to 212. As a reminder, 270 electoral votes are required to secure the presidency.
On the Democratic side, early indicators in the model show Harris leading the field with roughly 32 percent support. She is followed by California Governor Gavin Newsom at 23.8 percent. Former Transportation Secretary Pete Buttigieg comes in third at just under 10 percent, with Alexandria Ocasio-Cortez and Pennsylvania Governor Josh Shapiro also registering notable support.
The host pointed out that Harris’s apparent resurgence may come as a surprise, noting that “many people did write Kamala Harris off following her 2024 election defeat.” Still, recent polling trends and betting markets suggest renewed viability, with projections indicating a 56 percent likelihood she will pursue the nomination.
“Today, it is more likely than not that she is going to run again,” the video states.
On the Republican side, the model shows Vice President Vance dominating early primary support with 49.2 percent—far ahead of Donald Trump Jr., who trails by nearly 30 points. Senator Marco Rubio posts 12.5 percent, while Florida Governor Ron DeSantis follows at 9.2 percent.
According to the simulation, Vance holds a 46 percent chance of securing the GOP nomination, well ahead of Rubio’s 18 percent. The host summarized the outlook bluntly: “If nothing big changes, he will very likely become the party’s nominee in the next presidential race.”
The model breaks down the race by categorizing states into “solid” and “likely” columns. Vance’s stronghold includes a wide swath of reliably Republican states across the South, Midwest, and Mountain West. Notably, Ohio—once a critical swing state—is projected as firmly Republican, reflecting its continued rightward shift in recent election cycles.
“It is not difficult to see that he will carry the Buckeye State by a solid 15-point margin,” the host said, pointing to President Donald J. Trump’s decisive win there in 2024.
Meanwhile, Harris’s “solid” column largely mirrors traditional Democratic strongholds, including West Coast states and parts of the Northeast. The model suggests some stabilization in states like Connecticut and Delaware, which had shown tighter margins in previous cycles.
After accounting for both solid and “likely” states, the projection gives Vance a commanding edge heading into the final electoral tally—ultimately landing at a 312–212 victory.
While the simulation is purely speculative, it highlights how emerging technologies like AI are increasingly being used to model political scenarios and shape public discussion. Critics, however, caution that such projections rely heavily on assumptions and should not be mistaken for actual forecasts.