This panel discusses the competing antitrust theories, the expanding role of state attorneys general in merger enforcement, and what the Paramount–Warner Bros. litigation could mean for investment, employment, and the future of mergers and acquisitions.

The proper lesson from pharmaceutical manufacturing is therefore straightforward: borrow the practice, but leave the bureaucracy behind.

This panel discusses the competing antitrust theories, the expanding role of state attorneys general in merger enforcement, and what the Paramount–Warner Bros. litigation could mean for investment, employment, and the future of mergers and acquisitions.

Most important, government should establish general, ex ante rules governing measurable harms and cost responsibility—not specify either the commercial outcome or the means of production.

This panel discusses the competing antitrust theories, the expanding role of state attorneys general in merger enforcement, and what the Paramount–Warner Bros. litigation could mean for investment, employment, and the future of mergers and acquisitions.

Data centers did not create every weakness in America’s electricity system. Their arrival has made many of those weaknesses impossible to ignore.

A market that must be gerrymandered around “Obsession” is not a market. It is a theory with an exemption policy.

A principled defense of IP cannot depend on whether one admires Google. Property rules worthy of the name are neutral.

The Commission can still reverse course before its final decision, expected by year’s end. If it does not, President Trump should heed the lawmakers’ call for decisive action and launch a Section 301 investigation.

Far from “thriving,” theaters sold roughly 770 million tickets last year — down 37% from 2019 and less than half the 1.57 billion sold at the 2002 peak.

Government action often produces results policymakers did not expect. Instead of revisiting the original policy, they treat the resulting distortions as proof that another intervention is needed.

Economic value does not arise simply because information exists. AI models do not become valuable merely because vast quantities of data are available. Their value arises from the creative and highly uncertain process of transforming that information into useful technologies. Attempting to socialize those entrepreneurial returns mistakes the raw material of innovation for the innovation itself.