Publications

Technologies and tech companies are accused of creating a myriad of societal problems. This book exposes them as mostly myths, falsehoods, and exaggerations.

Policymakers should ignore neo-Brandeisian calls to regulate or break up large companies. Another study has found large firms can benefit the economy and are crucial for optimal productivity.

While ITIF applauds the Commission for its efforts to evaluate the adequacy of California’s competition laws and consider possible changes, this comment highlights concerns with both the single-firm and concentration reports, and specifically regarding their respective legal and economic findings.

Canada needs a productivity commission. But instead of emulating Australia’s model, which is driven by orthodox neoclassical economics, it should take guidance from “productionists” with a deep understanding of firm, industry, and technology dynamics.

On the Australian Productivity Commission’s watch, productivity growth in Australia over the last two decades is at its lowest for 60 years, with accompanying real wage stagnation.

As Brazil crafts its own Digital Markets Act in the mold of the EU’s, it should be aware of the potential shortcomings and unsubstantiated advantages associated with such wide-ranging economic regulation within the digital market landscape.

The EU Commission is charting the wrong course by investigating large American technology companies under the Digital Markets Act for competitive behavior like anti-steering rules.

Instead of making a Faustian bargain with neo-Brandeisians, conservatives must come to grips with what the neo-Brandeisian movement really is: a revolutionary assault on corporate America operating under the guise of “protecting democracy.”

Reviews play a major role in e-commerce sales by allowing consumers to make informed decisions about products and businesses based on information from previous customers. However, fake reviews can impact trust in products and businesses by deceptively influencing consumer behavior.

The about-face the scientific, academic, and tech communities have made on the risks of large language models (LLMs) creating biothreats should serve as a stark reminder for policymakers about the pitfalls of premature regulation.