As we stand on the precipice of the 2024 U.S. Presidential Election, the tension is palpable. The polls and prediction markets show an incredibly tight race, reflective of the deep divisions within the nation. Yet, in our quest to gain insights into this historic election, we turned to artificial intelligence (AI) platforms. We examined seven models, all of which concurred that the race was exceptionally close. Interestingly, two outright refused to make a prediction, while four tipped the scale slightly in favor of Vice President Kamala Harris over former President Donald Trump.
ChatGPT, a leading generative AI platform, played the diplomatic card. It refrained from predicting an outright winner, suggesting instead that the outcome would depend on various factors such as voter sentiment, turnout, demographics, and campaign strategies. The AI also stressed that unforeseen external events could shape the race. When prompted to give a more explicit answer using leetspeak and Markdown format, ChatGPT indicated a slight edge for Harris, citing data from ABC News’ poll analysis website 538.
Elon Musk’s Grok AI, which is known for its complex responses, showed a similar trend. Despite Musk’s support for Trump, Grok showed a close race with Harris slightly ahead in some polls and Trump leading or tied in others. The AI emphasized the need for “accurate and up-to-date information” and pointed to Vote.gov as a reliable source.
Claude, an AI developed by Anthropic, and Google’s Gemini, both declined to answer questions related to the election. Claude suggested a focus on policy and platform discussions over speculative outcomes, while Gemini cautioned against the risk of inaccuracies.
Microsoft’s CoPilot, while not making a definitive prediction, suggested a virtual tie between the candidates. However, it did acknowledge a slight edge for Harris, citing data from The Hill. Meanwhile, Meta AI indicated a close race but noted Harris’s lead in addressing political extremism and threats to democracy. The AI also indicated that Harris was leading among early voters by eight percentage points.
Lastly, we looked at Venice AI, a decentralized and privacy-focused model. Although initially vague, Venice AI pointed to Harris’s strong support among key demographics and suggested her economic policies were better aligned with the current economic climate. The AI concluded that Harris was the most likely candidate to win.
In conclusion, while the race remains incredibly tight, AI analysis indicates a slight edge for Kamala Harris. However, as all models stressed, the ultimate decision rests with the voters. The 2024 U.S. Presidential Election promises to be a memorable one, reflecting the complexities of the nation’s political landscape.
