Bitcoin mining is like a giant game where people use powerful computers to solve complex puzzles and win new Bitcoins. In July 2024, some miners who used artificial intelligence (AI) to make their computers faster fell behind those who used traditional methods. This happened because it became harder to solve the puzzles and the value of Bitcoins went up and down, making it harder to make money from mining. Traditional miners who used older methods did better because they could handle these changes better. Read from source...

- The article title is misleading and exaggerated, it does not reflect the content of the article
- The article focuses only on AI-linked miners vs traditional miners, but ignores other types of miners (e.g., green miners, cloud miners, etc.)
- The article uses JPMorgan's analysis, but does not provide any sources or details on how the analysis was conducted
- The article does not explain the reasons behind the performance difference between AI-linked and traditional miners, it only presents the outcomes
- The article does not consider the possible impact of market volatility, network competition, and mining difficulty on the performance of different miners
- The article does not provide any long-term perspective or future outlook on the trends and developments in the crypto mining sector
- The article does not mention any other factors or risks that might affect the profitability and sustainability of different mining methods
- The article has a negative tone and bias towards AI-linked miners, it does not acknowledge the potential benefits or advantages of AI technologies in mining
- The article uses an outdated Bitcoin price chart (as of July 2024) and does not update it to reflect the current (August 2024) market situation

The article is not a high-quality or informative piece, it is poorly researched, written, and argued. It does not provide any valuable insights or actionable information for the readers. It only aims to create sensationalism and polarize the audience. AI rating: 1/5.

AI-driven stocks vs traditional players
Bitcoin mining stocks have seen a significant shake-up in July, with AI-driven miners struggling while traditional players like Cipher and Riot attract investors with steady gains. This article discusses the reasons behind this trend and highlights the dynamic nature of the Bitcoin mining sector. It also explores the broader crypto mining market dynamics, Bitcoin mining profitability concerns, and how miners navigate this complex landscape.

Summary:
In July, Bitcoin mining stocks experienced a significant shift, with AI-driven miners (such as Iris Energy and TeraWulf) struggling to maintain their gains, while traditional miners (such as Cipher Mining and Riot Platforms) managed to attract investors despite the turbulent market conditions. The divide between these two groups of miners has never been more pronounced.

Reasons for the trend:
- AI-linked miners faced losses as Bitcoin prices fluctuated and network competition intensified, making their dependence on emerging technology a vulnerability in an unpredictable market landscape.
- Traditional miners, on the other hand, demonstrated resilience and attracted investor favor, showcasing the value of established mining methods in a volatile market.

Broader crypto mining market dynamics:
- The average Bitcoin price was $62,700 in July, down 5% from June, but it reached as high as $70,000 following the Bitcoin 2024 conference in Nashville.
- Bitcoin's annualized volatility rose from 37% in June to 45% in July, contributing to the uncertain environment.
- Mining profitability continued its downward trajectory, with the average earnings for miners plummeting to $45.8k per EH/s, hitting record lows.

Implications:
The future of the Bitcoin mining sector remains uncertain as AI technologies continue to develop and market dynamics evolve. While AI-driven miners face challenges, traditional players are capitalizing on their established methods, reminding investors of the industry's inherent volatility. The question remains: will AI-driven innovation overcome its growing pains, or will traditional mining methods continue to hold sway?