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El premio Nobel de Economía 2021, David Card, analiza en esta vídeo entrevista realizada por Diego S. Adelantado las principales amenazas y oportunidades de la economía mundial.

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00:00¿Cuáles son muchos riesgos, pero creo que desde mi perspectiva, trabajando en educación y sabiendo mucho sobre el sector del sector y así,
00:20creo que el mayor peligro es todo el descanso causado por diferentes políticas en los Estados Unidos,
00:27la política política, la política política, la política política, la política política, la política política,
00:32y todos estos son causan un gran descanso y un gran descanso sobre lo que las empresas deberían hacer en las estrategias de inversión,
00:44y creo que es bastante disruptiva en los próximos años, hasta que eso se resuelve.
00:50¿Cuáles son las oportunidades que se encuentran en la defensa de la defensa de la defensa?
00:54A lot of opportunities, strangely enough, in the defense business,
00:58because of the disruption caused by the U.S. policies.
01:02A lot of European countries, I'm originally from Canada, a lot of Canadian companies,
01:06are seeing that as an opportunity that can be potentially of interest for investment and for future.
01:15There's other related opportunities and things like the minerals involved in the highly high-tech products, somewhat related.
01:24I think right now the main threat of the newest AI technologies, large language models,
01:39is middle level of the labor market or upper middle level of the labor market,
01:45including for instance young computer scientists, young engineers, young attorneys.
01:50The market for young computer scientists has been heavily disrupted because previously there was many, many jobs
01:59for people coming out of college and working as software development engineers
02:04and the need for those particular tasks has really gone down quickly as LLMs have been used to help improve productivity.
02:12Similar kinds of things are going on for the legal market and to some extent some parts of finance are affected.
02:25So there's a huge amount of easily adaptation of LLMs to these fairly high knowledge tasks
02:33and that's going to be the first time.
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