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ChatGPT and Google Gemini Predict How High Dogecoin Price Could Rise After Trumps Inauguration

ChatGPT and Google Gemini Predict How High Dogecoin Price Could Rise After Trumps Inauguration WikiBit 2024-12-13 19:41

Popular AI chatbots ChatGPT and Google Gemini predict Dogecoin price after the inauguration of Presi

Popular AI chatbots ChatGPT and Google Gemini predict Dogecoin price after the inauguration of President-elect Donald Trump.

The projections come on the back of growing investor optimism around Dogecoin following Donald Trumps victory. For context, the Nov. 5 election victory triggered a massive DOGE rally, with the meme coin now up 155% since November.

However, currently trading at $0.40, Dogecoin‘s future remains uncertain amid an ongoing consolidation phase. With this market uncertainty, speculation has emerged about its potential performance after Trump’s inauguration in January 2025.

Interestingly, the two AI chatbots, OpenAIs ChatGPT and Google Gemini, presented their predictions on how the original meme coin might react to the political development.

ChatGPTs Dogecoin Price Predictions

ChatGPT noted that Dogecoins trajectory will largely depend on Trumps policies toward cryptocurrencies and the broader market sentiment during his presidency.

The chatbot suggested that If Trump enacts pro-crypto measures, such as introducing new regulations favoring digital assets or encouraging institutional adoption, the resulting optimism could lead to massive price gains.

ChatGPT outlined three scenarios based on potential market capitalization growth. The first scenario sees Dogecoin at a market cap $125 billion, an addition of about $65 billion from its current valuation.

In this scenario, Dogecoins price could reach approximately $0.84. According to the chatbot, this outcome assumes a sustenance of positive sentiment and steady interest from institutional and retail investors.

For the second scenario, ChatGPT assumes a Dogecoin market cap of $200 billion. Should this occur, its price could rise to $1.35. This would likely demand favorable policies and an increase in community momentum.

Meanwhile, ChatGPT says Dogecoins price might climb to $3.37 under a highly bullish scenario that could take its market cap to $500 billion. Achieving this would demand massive growth in adoption and investment.

Notably, ChatGPT stressed that Dogecoin‘s volatile nature, coupled with its tendency to rally on hype and endorsements, makes these scenarios plausible but uncertain. The extent of any surge would depend on Trump’s actions and broader crypto market trends.

Google Geminis Dogecoin Price Predictions

Interestingly, Google Gemini took a slightly different approach. Its approach considered multiple external factors that could influence Dogecoins price following Trumps inauguration next year.

The chatbot noted that in a sustained cryptocurrency bull market, with Dogecoin gaining utility as a payment method, the price could range between $1 and $2. For context, an increase in mainstream acceptance and utility would be major drivers in this scenario.

Dogecoin Price Prediction | Google Gemini

Secondly, Google Gemini spotlighted Elon Musks influence. It believes that if Elon Musk, a longtime Dogecoin supporter, continues to endorse the coin or integrates it into Tesla or other ventures, the price could rise to between $0.50 and $1.00.

Further, according to the chatbot, should favorable regulations emerge as Trump takes office, they could attract more institutional investors, and Dogecoin could stabilize and rise to between $0.75 and $1.50.

However, in a near market scenario, Google Gemini sees the market entering a bearish phase or Dogecoin losing its appeal. With this, the chatbot believes the price could drop to between $0.25 and $0.35.

Disclaimer:

The views in this article only represent the author's personal views, and do not constitute investment advice on this platform. This platform does not guarantee the accuracy, completeness and timeliness of the information in the article, and will not be liable for any loss caused by the use of or reliance on the information in the article.

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