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When an industry is threatened by an external force like AI, consolidation is a key defensive strategy. Ironically, this is when regulators are most likely to intervene. Because these declining companies are knowable and easy to analyze, it makes it easier for regulators to block deals, preventing a necessary survival response.

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Prosus's CEO expresses frustration with European regulators who, while claiming to want local tech champions, actively block European companies from consolidating. He was forced to divest from Delivery Hero, knowing it would likely be sold to an American or Chinese firm, directly undermining the goal of creating a powerful European tech player.

Regulatory crackdowns on M&A have a chilling effect far beyond the companies involved. When successful startups can't exit via acquisition, capital gets trapped. This prevents VCs from returning money to LPs, who in turn can't fund the next generation of founders, grinding the innovation engine to a halt.

In regulated industries like healthcare, the years required to build partnerships, navigate compliance, and establish trust create a significant moat. This defensibility protects specialized application-layer startups from being overrun by large, horizontal model providers who cannot easily replicate these deep, industry-specific relationships.

As traditional economic-based antitrust enforcement weakens, a new gatekeeper for M&A has emerged: political cronyism. A deal's approval may now hinge less on market concentration analysis and more on a political leader’s personal sentiment towards the acquiring CEO, fundamentally changing the risk calculus for corporate strategists.

The narrative of AI doom isn't just organic panic. It's being leveraged by established players who are actively seeking "regulatory capture." They aim to create a cartel that chokes off innovation from startups right from the start.

Italy's Golden Power framework allows the government to review and block transactions in strategic sectors, a separate process from antitrust. It has expanded post-COVID to include areas like AI and food production, requiring early navigation by foreign buyers as it even applies to intra-group restructurings.

The fear of killer AI is misplaced. The more pressing danger is that a few large companies will use regulation to create a cartel, stifling innovation and competition—a historical pattern seen in major US industries like defense and banking.

For legacy companies in declining industries, a massive, 'bet the ranch' acquisition is not an offensive growth strategy but a defensive, existential one. The primary motivation is to gain scale and avoid becoming the smallest, most vulnerable player in a consolidating market, even if it requires stretching financially.

The attempt to preserve competition by blocking the JetBlue-Spirit merger ultimately led to Spirit's likely failure. A better regulatory approach focuses on ensuring fair access to limited resources (like airport gates) rather than blocking consolidation, a natural market mechanism.

The breathless talk about AI's dangers from leaders of large AI labs isn't just about safety; it's a business strategy. By encouraging regulation, established players like Anthropic can create a 'regulatory moat' that makes it harder for smaller competitors to enter the market.

Regulators Block Mergers Precisely When Declining Industries Need Consolidation | RiffOn