Richard Gilbert, Apr 19, 2007
Several antitrust cases have involved allegations of anticompetitive innovation or product design and some plaintiffs and antitrust scholars have argued that investment in research and development that excludes competition can have predatory effects similar to predatory pricing. This article analyzes several tests for predatory innovation, including the rule of reason based on total and consumer welfare and profit sacrifice tests. All of these tests are likely to produce false positives that chill incentives for beneficial investments in research and development. Most courts that have considered allegations of anticompetitive innovation, including the appellate court in U.S. v. Microsoft, have concluded that innovation is not anticompetitive if it has plausible efficiencies. This is close to a test of whether innovation is a sham. While a sham test may fail to identify innovations that harm competition, that risk is acceptable given the high cost of penalizing beneficial innovation.
Featured News
Coinbase Sues Three States Over Prediction Market Regulations
Dec 19, 2025 by
CPI
Walmart and PayPal Execs Say Prompts Could Trigger AI-Driven Coordination
Dec 19, 2025 by
CPI
Trump Signals New Openness to Filling Democratic Seats on SEC, CFTC, Easing Frictions Over Crypto Bill
Dec 19, 2025 by
CPI
Mexico Antitrust Authority Closes Android Competition Case After Google Commitments
Dec 18, 2025 by
CPI
LinkedIn Antitrust Settlement Faces Setback in California Court
Dec 18, 2025 by
CPI
Antitrust Mix by CPI
Antitrust Chronicle® – CRESSE Insights
Dec 16, 2025 by
CPI
Learning from Divergence: The Role of Cross-Country Comparisons in the Evaluation of the DMA
Dec 16, 2025 by
Federico Bruni
New Regulatory Tools for the EU Foreign Direct Investment Screening and Foreign Subsidies Regulation
Dec 16, 2025 by
Ioannis Kokkoris
“Suite Dreams”: Market Definition and Complementarity in the Digital Age
Dec 16, 2025 by
Romain Bizet & Matteo Foschi
The Interaction Between Competition Policy and Consumer Protection: Institutional Design, Behavioral Insights, and Emerging Challenges in Digital Markets
Dec 16, 2025 by
Alessandra Tonazzi