Artificial Intelligence (AI) Token Price Prediction: TAO, NEAR, ICP Break Resistance, Trump’s $90 Billion Investment Plan Boosts Buying Momentum

Bittensor (TAO), Near Protocol (NEAR), and Internet Computer (ICP) tokens related to artificial intelligence (AI) surged this week, following Bitcoin's repeated record highs. U.S. President Trump announced a $90 billion investment in energy and AI projects in Pennsylvania, promising contributions from tech giants like Google and Meta. This hot topic has boosted market buying interest.

According to a report by Reuters, Google has reached a $3 billion agreement to purchase hydroelectric power from facilities in Pennsylvania and has committed to building data centers worth $25 billion over the next two years. Meta CEO Mark Zuckerberg also announced a similar plan to invest hundreds of billions of dollars in the construction of multiple artificial intelligence data centers.

In addition, the early test version of CaffeineAI has been released, aiming to create an autonomous application writing platform based on the Internet Computer, which is expected to make Web3 application development mainstream without any programming skills required. With the release of the early test version, the price of ICP has broken through a key resistance trend line, and it is expected to continue its pump.

TAO Price Analysis: Bullish Trend Faces Long-Term Trend Line Resistance

FXStreet analyst Vishal Dixit stated that as of the time of publication on Wednesday, TAO has dropped nearly 1% from the eight-month resistance trend line connecting the peaks of December 10 and May 22. After breaking the $300 mark in June, TAO has reversed, indicating a significant increase in buying pressure.

If the daily closing price consistently exceeds the trend line of 440 dollars, the upward trend may extend to the 50% Fibonacci retracement level of 458 dollars, which is based on the rise from 748 dollars on December 6 to 167 dollars on April 7.

The convergence trend of the 50-day, 100-day, and 200-day Exponential Moving Averages (EMA) indicates a bullish trend and a potential golden cross.

The Moving Average Convergence Divergence (MACD) and its signal line have crossed above the zero line, accompanied by an increase in the green histogram bars, indicating a strengthening bullish momentum.

The downside is that a bearish close on that day may extend TAO's downtrend to the 200-day EMA of $371.

(Source: Trading View)

NEAR Price Analysis: Rebounding from the 100-day moving average, target price is $6.23

After three consecutive days of pump, NEAR has dropped over 1% as of Wednesday. After breaking through the resistance trend line connecting the peaks of December 6 and May 10, the AI Token is currently holding above the 100-day moving average of $2.55.

A rebound appeared later that day, continuing the upward trend, with a target possibly at the 200-day EMA of $3.04.

The upward trend line of the MACD and the signal line crosses above the zero line, indicating a trend reversal, consistent with the breakout of the trend line. Observing investors can consider the reversal of the MACD line below the signal line as a short-term sell signal.

If NEAR breaks below the 100-day EMA of $2.55, it may extend the downtrend to the 50-day EMA of $2.37.

(Source: Trading View)

ICP Price Analysis: CaffeineAI Positive News Drives Trendline Breakout

With the release of the early version of CaffeineAI, ICP rose more than 4% on Tuesday, breaking through the key resistance trend line connecting the peaks of December 6 and May 10.

Since the altcoin is maintaining above the 100-day EMA of $5.41, its target price may be the 200-day EMA of $6.23.

The MACD indicator reflects a surge in bullish momentum, similar to what is seen in other AI tokens, with green histogram bars indicating an upward trend.

On the other hand, if the resistance trend line (along the 100-day moving average of $5.41) reverses, the breakout will fail. In this case, ICP may continue the downtrend, falling towards the 50-day moving average of $5.17.

(Source: Trading View)

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