Find out how much of Google’s digital advertising monopoly Gemini AI has exposed. In a recent video, venture capitalist Jesse Beyroutey and CEO of Every Media Dan Shipper tested Google’s Gemini AI models, including version 1.5, to see if they could help with stock investment decisions.
In an effort to gain investment insights, Shipper and Beyroutey fed raw company earnings call transcripts into Gemini and asked it a series of questions about various businesses.
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Gemini’s Performance
Gemini demonstrated its analytical skills by providing insightful responses, such as a review of GoGo Inc.’s plans to improve in-flight Wi-Fi services.
Search for Investment Opportunities
Shipper and Beyroutey continued their search for a profitable stock tip in spite of Gemini’s astute comments, asking for businesses with particular attributes such as highly scalable business models and valuable bottlenecks in the value chain.
Gemini’s Recommendations
Gemini divided stocks into three categories: scalable stocks, shockproof stocks, and bottleneck stocks. Alphabet, the parent company of Google, is the top pick in the bottleneck stocks category.
Controversial Assertion
Given that Google controls more than 90% of the global search market, Gemini’s claim that it dominates the online advertising space caused controversy, particularly in light of the ongoing legal disputes the company is having with the Department of Justice regarding purported monopolistic practices.
Google’s Response
When Google was contacted for comment, an official acknowledged that Gemini could provide false or deceptive information but emphasized that continuous efforts are being made to improve accuracy.
Conclusion
To sum up, the disclosure of Gemini AI’s dominance in Google’s digital advertising monopoly highlights the considerable power and influence that Google has over the digital advertising industry. Gemini’s experiment sheds light on the changing role of AI in decision-making and provides insightful information. Although its analysis is thought-provoking, users should proceed cautiously and be aware of any possible inaccuracies. It’s critical to combine technological expertise with human judgment for responsible decision-making as we incorporate AI into our processes.
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