BofA Analyst Declares ‘Bye Bye Bitcoin’ as Miners Shift to AI Data Centers

A Bank of America analyst has stirred controversy in crypto circles with a provocatively titled research note suggesting Bitcoin mining’s best days may be behind it. Michael Funk’s report, “Bye Bye Bitcoin. Hello AI data centers,” applauds mining companies pivoting away from cryptocurrency operations toward artificial intelligence infrastructure.

The note highlights a growing trend among former Bitcoin mining firms repurposing their energy-intensive facilities for AI computation workloads. As AI models demand massive computational power and electricity, companies with existing infrastructure and power purchase agreements find themselves uniquely positioned to serve this booming market without the volatility inherent to Bitcoin’s price cycles.

This strategic shift comes as Bitcoin miners face mounting pressure from shrinking block rewards following April’s halving event, which cut miner revenues in half overnight. Combined with fluctuating energy costs and increasing network difficulty, profitability margins have compressed significantly for operations lacking scale or cheap power access.

However, the analyst’s dismissive framing has drawn sharp criticism from Bitcoin advocates who argue the network’s decentralization and security depend on robust mining infrastructure. Critics point out that Bitcoin’s hashrate recently hit all-time highs, suggesting the industry remains healthy despite some players diversifying revenue streams.

The debate underscores a broader tension between legacy crypto infrastructure and emerging AI computing demands. While some view this as miners abandoning a sinking ship, others see it as natural business evolution—companies leveraging existing assets to capture value in multiple high-growth sectors simultaneously.

For investors, the takeaway may be less about Bitcoin’s demise and more about the convergence of two computing-intensive industries competing for the same scarce resource: affordable, reliable electricity at scale.

Based on reporting by the original source.