{"id":9413,"date":"2024-01-22T19:39:51","date_gmt":"2024-01-22T19:39:51","guid":{"rendered":"https:\/\/dailyai.com\/?p=9413"},"modified":"2024-01-22T20:44:04","modified_gmt":"2024-01-22T20:44:04","slug":"the-rise-of-ai-in-the-workplace-insights-from-a-new-mit-study","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2024\/01\/the-rise-of-ai-in-the-workplace-insights-from-a-new-mit-study\/","title":{"rendered":"El auge de la IA en el lugar de trabajo: conclusiones de un nuevo estudio del MIT"},"content":{"rendered":"

Is AI really on the brink of replacing human jobs? If yes, then to what extent?<\/b><\/p>\n

The research, conducted by MIT’s Computer Science and Artificial Intelligence Laboratory, explores the potential of AI to take our jobs, focusing on computer vision (CV), a branch of AI concerned with processing and analyzing visual data.<\/span><\/p>\n

The study assessed AI’s ability to perform tasks and scrutinized the economic feasibility of replacing human labor in various sectors. It\u2019s not undergone peer review yet but is <\/span>available here<\/span><\/a>.<\/span><\/p>\n

A key finding is that while AI is capable of automating tasks that constitute 1.6% of US worker wages (excluding agriculture), it’s only economically viable to replace approximately 23% of these wages with AI. <\/span>This accounts for just 0.4% of the total US economy.<\/span><\/p>\n

So, while AI can replace jobs, it’s not guaranteed to be cheaper or more effective.<\/p>\n

The authors of the study state, \u201cOverall, our findings suggest that AI job displacement will be substantial, but also gradual\u2014and therefore there is room for [government] policy and retraining to mitigate unemployment impacts.\u201d<\/span><\/p>\n

The researchers further project that only 3% of \u201cvision-assisted\u201d tasks can be automated cost-effectively today, but this could rise to 40% by 2030 if data costs decrease and accuracy improves.<\/span><\/p>\n

It highlights areas like retail, transportation, warehousing, and healthcare as sectors where computer vision AI is most economically viable.<\/span><\/p>\n

Several studies into AI job replacements, <\/span>most recently from the IMF<\/span><\/a>, suggested up to some 40% of jobs worldwide could be disrupted.\u00a0<\/span><\/p>\n

Comparing CV AI with language models<\/h2>\n

The MIT research primarily examines computer vision AI and doesn’t uncover insights into more flexible AI systems like OpenAI’s GPT-4.\u00a0<\/span><\/p>\n

While the study estimates a more conservative impact of AI on jobs, <\/span>OpenAI’s research last year<\/span><\/a> suggested a broader influence, with 19% of US workers potentially seeing significant changes in their workplace tasks due to advancements in AI like GPT-4.<\/span><\/p>\n

The cost of customizing AI systems for specific tasks is a significant barrier to job displacement, as noted in the study.\u00a0<\/span><\/p>\n

Customization is economically feasible for large companies but often not for smaller businesses, which might find retaining skilled human workers more cost-effective.<\/span><\/p>\n

\u00a0In contrast, fine-tuning language models like GPT-4 for specific tasks could be simpler and less expensive, indicating a potential for wider adoption in various economic sectors.<\/span><\/p>\n

Neil Thompson, the study\u2019s lead author, <\/span>commented to TIME<\/span><\/a>, \u201cIt is certainly plausible that customizing large language models may be easier than customizing computer vision systems and that this could lead to more adoption in the economy.\u201d\u00a0<\/span><\/p>\n

There is another layer to this, as AI is resource-intensive, too. OpenAI CEO Sam Altman recently said the technology couldn\u2019t easily progress without a \u2018breakthrough\u2019 in energy production.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

\u00bfEst\u00e1 realmente la IA a punto de sustituir los empleos humanos? En caso afirmativo, \u00bfhasta qu\u00e9 punto? La investigaci\u00f3n, realizada por el Laboratorio de Ciencias de la Computaci\u00f3n e Inteligencia Artificial del MIT, explora el potencial de la IA para ocupar nuestros puestos de trabajo, centr\u00e1ndose en la visi\u00f3n por ordenador (CV), una rama de la IA que se ocupa del procesamiento y an\u00e1lisis de datos visuales. El estudio eval\u00faa la capacidad de la IA para realizar tareas y examina la viabilidad econ\u00f3mica de sustituir la mano de obra humana en diversos sectores. A\u00fan no ha sido sometido a revisi\u00f3n por pares, pero puede consultarse aqu\u00ed. Una de las principales conclusiones es que, si bien la IA es capaz de automatizar tareas que constituyen 1,6% de la mano de obra estadounidense<\/p>","protected":false},"author":2,"featured_media":9414,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[89],"tags":[113,117],"class_list":["post-9413","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-jobs","tag-jobs","tag-mit"],"yoast_head":"\nThe rise of AI in the workplace: insights from a new MIT Study | DailyAI<\/title>\n<meta name=\"description\" content=\"Is AI really on the brink of replacing human jobs? 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