The crypto dilemma will now confront corporate treasury: MSCI prepares changes that could force liquidations of $15 billion

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While the cryptocurrency market watches closely, MSCI is about to make a decision that could reshape the investment strategies of many companies. The regulatory proposal to be decided before January 15, 2026, has the potential to force corporate treasury funds to liquidate crypto positions worth approximately $15 billion.

The impact on companies: MicroStrategy in the spotlight

The technology company MicroStrategy is under particular scrutiny, facing a potential liquidation pressure of nearly $2.8 billion if these regulatory changes materialize. This scenario poses a significant challenge for corporations that have heavily invested in cryptocurrencies as a strategic reserve asset, forcing them to rethink their investment positions.

The news has caused concern in the sector, as many companies have built their value strategies around crypto holdings. A forced liquidation of this magnitude could create short-term volatility, while also raising questions about the stability of corporate portfolios in the crypto market.

New opportunities emerge in the sector

In contrast to the regulatory uncertainty landscape, DeepSnitch AI presents an innovative proposal. The project dedicated to developing automatic trading strategies through artificial intelligence agents has completed its pre-sale round, raising over 83,000.

With three of its five AI tools already operational and trading at $0.02903 each, DeepSnitch AI aims to position automation as a response to the volatility that characterizes the crypto market at this stage. The phased rollout of its solutions suggests a calculated strategy to attract traders seeking alternatives amid short-term uncertainty.

What’s next for crypto now

The convergence of these events — potential regulatory restrictions and innovative AI solutions — paints a sector in transition. Companies will need to decide whether to maintain their crypto positions or adapt to the new regulatory landscape. Meanwhile, projects like DeepSnitch AI represent the ecosystem’s evolution toward automation and defensive strategies in times of change.

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