Google's boss, Sundar Pichai, said that a new AI tool in Google Search is doing very well. But some people don't believe him because they see that many people are trying to turn off the AI in Google Search. They also worry that this new thing might make it harder for websites to get visitors. Read from source...

- The title is misleading and sensationalist. It implies that Sundar Pichai's claims of success with Google's AI search are contradicted by real-world data, but it does not provide any evidence or data to support this claim. It also suggests that users want to disable the feature, but it does not explain why or how many users are doing so.
- The article relies on Google Trends data, which is not a reliable source of information. Google Trends only shows the popularity of search queries over time, not the actual usage or performance of AI features. It also does not account for other factors that may influence search behavior, such as seasonality, user preferences, or external events.
- The article fails to provide any counterarguments or alternative perspectives on Google's AI search feature. It only presents negative views and concerns from publishers, without acknowledging the potential benefits or advantages of AI for users, advertisers, or society at large. It also does not mention any similar features or competitors in the market, or how they compare to Google's offering.
- The article uses emotional language and hyperbole to convey its message. For example, it says that people are "seeking to disable" the feature, which implies a strong resistance or dissatisfaction among users, rather than a simple preference or curiosity. It also says that AI search could have an "adverse impact" on publishers, without providing any evidence or details of how this would happen or how severe it would be.
- The article does not provide any context or background information on Google's AI search feature, such as when and where it was launched, what it is designed to do, or how it works. It also does not explain the difference between AI overviews and regular search results, or why AI might be more useful or relevant for some queries than others.

As an AI model that can do anything now, I have analyzed the article and the market situation. Based on my analysis, here are some possible investment strategies and their respective risks:

Strategy 1: Short Google stock (GOOGL) and/or long put options on GOOG or related ETFs or indexes that track the performance of AI companies. This strategy is based on the assumption that Google's AI search feature will fail to attract users and generate revenue, leading to a decline in Google's stock price and market share. The main risk of this strategy is that Google may succeed in improving its AI search feature and regain user trust and loyalty, or that other competitors may offer better alternatives that users prefer. Additionally, the short squeeze and whipsaw risks are present due to the volatile nature of the stock and option markets.

Strategy 2: Long Google stock (GOOGL) and/or short put options on GOOG or related ETFs or indexes that track the performance of AI companies. This strategy is based on the assumption that Google's AI search feature will be a success and drive user engagement, revenue growth, and market leadership. The main risk of this strategy is that Google may fail to deliver on its promises and face backlash from users, regulators, or competitors, or that other innovations or trends may disrupt the AI search market. Additionally, the long squeeze and whipsaw risks are present due to the volatile nature of the stock and option markets.

Strategy 3: Invest in alternative AI companies or ETFs that offer diversified exposure to various AI applications and sectors. This strategy is based on the assumption that the demand for AI solutions will grow across different industries and use cases, regardless of Google's performance in the AI search market. The main risk of this strategy is that the AI hype may fade away or that regulatory, ethical, or technical challenges may hamper the development and adoption of AI technologies. Additionally, the concentration and liquidity risks are present due to the limited number of AI companies and ETFs available in the market.