The current era of exploitative digital platforms was made possible by a multi-decade failure to enforce antitrust laws. This policy shift allowed companies to buy rivals (e.g., Facebook buying Instagram) and engage in predatory pricing (e.g., Uber), creating the monopolies that can now extract value without competitive consequence.

The true promise of antitrust in tech is to safeguard moments of disruptive change. The focus should be on preventing today's giants from squashing the next generation of innovators, ensuring competition has its greatest chance at these inflection points.

History shows market leaders are disrupted by nimble newcomers (e.g., Nike by Hoka), not their main competitors. This is the core fear driving large AI companies to seek regulatory capture. They aren't trying to block each other but to build a moat that prevents a small, innovative startup from making them obsolete.

Fears of a forced spinoff of Google Chrome depressed Alphabet's stock. The actual outcome was a much softer restriction on distribution agreements, demonstrating that worst-case regulatory scenarios rarely materialize for dominant tech companies, creating potential investment opportunities from the uncertainty.

While politicians focus on taxing corporations, the real threat to tech monopolies is breaking them up. Forcing divisions like Google Search, Maps, and YouTube to compete independently dismantles their 'strategic monopoly,' a far more terrifying prospect for them than paying more tax on consolidated profits.

Major AI companies are not solely seeking to stifle competition with regulation. They are also signaling an inability to self-regulate amidst intense competitive pressure, effectively asking external bodies to impose a mandatory safety floor that applies to everyone.

Rivals like Microsoft and Amazon are investing in each other's primary AI partners (e.g., Amazon in OpenAI). This isn't random; it reflects a strategic alignment to create a powerful counterweight against Google, which they view as the single biggest long-term threat in the AI race.

The DOJ's investigation into Nvidia's $20B Grok deal highlights a widespread Big Tech strategy. By structuring talent and technology acquisitions as "non-exclusive licensing agreements," companies like Nvidia, Google, and Meta can consolidate resources and market power while avoiding the automatic regulatory review triggered by traditional mergers.

Former DOJ antitrust chief Jonathan Cantor suggests that AI companies asking to coordinate on safety might be motivated by a desire to slow the cash-burning race to the frontier, allowing them to stabilize their economics before going public.