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        TRANSCRIPT - Is big tech all that bad?

        TRANSCRIPT - Is big tech all that bad?

        This is the edited transcript of the Competition Lore podcast episode 6, Is big tech all that bad? with Geoffrey Manne.  

        You can purchase a PDF download of the complete transcript of this podcast for US$10.

        The argument over Big Data is split. Some argue Big Data makes a small number of platform companies extremely powerful.  These companies have so much data and such resources that they can damage competition, erode our privacy and maybe even distort our democracy.

        But not everyone shares this view. Others say the data giants are so gigantic because they serve us so well.  We value what they offer and most of us don’t mind paying for it with our privacy. The ‘big is bad’ theory is not only wrong, it’s dangerous.

        Geoffrey Manne is one of the loudest critics.  He argues that Big Tech opponents have failed to identify clear harms to consumer welfare and calls for an evidence-based approach using an error-cost framework.  He also questions the wisdom of trying to shoehorn broader social and political concerns into the narrow economic remit of antitrust law.

        In this episode of Competition Lore, Geoff explains why we need to be wary of claims about privacy intrusion as anti-competitive, why network effects should be seen as good not bad, and why the argument that large data-sets prevent new entry is overblown.  He doesn’t buy the idea that big business effectively lobbies government to stifle regulation and he muses that the European crackdown on powerful platform companies may be anti-US protectionism at work. For him, the so far restrained approach of the US authorities is the right one.  The risks of getting it wrong, he argues, are just too great.

        While great care has been taken in the preparation of the transcript, there may be some minor errors.

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