Technology & Innovation

Recent developments in AI have added fuel to debates that have long simmered amongst economists, which could lead to a rethinking of economics itself.

The tech giant is in the hot seat, but it’s going to be a “big fight,” warns antitrust expert Mark Glick.

New technologies are not the problem. It’s a system distorted by a flawed ideology.

Losing jobs isn’t the only thing workers have to worry about. AI may make many jobs worse.

What happens when we fuse, for the first time, artificially intelligent agents into either our market or political structures?

The contrasting ideologies at play in this tech sector mirror the conflicting ideologies in economics

Cisco’s turn from innovation to financialization and what it means for the competitive position of the US information-and-communication-technology industry

On the dereliction of key US-based business corporations to take the lead in making the investments in organizational learning required to generate cutting-edge communication-infrastructure products.

Evidence sharply contradicts PhRMA’s contention that its member companies need unregulated drug prices to generate profits that they then reinvest in drug innovation.

Economist Cristina Caffarra, a leader in competition and antitrust, warns that ever-expanding tech giants raise concerns about the extent of their power.

How do we regulate an information utility?

Author and law professor Maurice Stucke explains why the practices of Google, Amazon, Facebook, and Apple are so dangerous and what’s really required to rein them in. Hint: Current proposals are unlikely to work.

A comment on the Securities and Exchange Commission’s proposed rule “Share Repurchase Disclosure Modernization”

Business firms are not alone in making investments in the productive capabilities required to generate innovative goods and services. Household units and government agencies also make investments in productive capabilities upon which business firms rely for their own investment activities.

EEO-1 employment data document the vast over-representation of Asian Americans and vast under-representation of African Americans at tech companies in recent years. How did this happen?