Post Thumbnail

Who will AI replace: from call center workers to company directors

Modern artificial intelligence models are rapidly transforming the labor market, ranking among the world’s top 200 programmers, publishing scientific articles, and surpassing the knowledge of university graduates. But despite rapid progress, there is a certain threshold – models cannot yet act completely autonomously, make fundamentally new scientific discoveries, or coordinate large-scale actions.

Researcher Jason Hausenloy proposes a simple criterion for profession vulnerability. Your job is subject to automation to the extent that the simplest independent task in it is short. For example, call center workers perform tasks lasting from 10 to 20 minutes. Which makes their positions extremely vulnerable. Freelancers, legal assistants, and journalists are in a similar position. Everyone whose tasks are simple, performed quickly, and do not require years of experience.

On the other hand, leadership positions are more difficult to automate. Even if a director’s workday is divided into half-hour activities, each task requires years of experience and contextual understanding. Which machines are not yet able to reproduce.

In addition to the main criterion, there are additional risk factors for automation. Availability of data on task performance. The human factor that determines the value of human execution specifically. The trust factor, when people prefer that important decisions be made by humans. And the possibility of remote work – the easier it is to organize, the higher the risk of automation.

Among professions with low risk of replacement are Hollywood actors due to their social influence, teachers and psychologists, where human contact is critically important, physical labor specialists like plumbers and electricians, as well as senior executives, whose work requires the integration of extensive experience and making complex decisions.

Autor: AIvengo
For 5 years I have been working with machine learning and artificial intelligence. And this field never ceases to amaze, inspire and interest me.

Latest News

Open source model RoboBrain 2.0 will become foundation for humanoid robots

AI model RoboBrain 2.0 can now combine environment perception and robot control in 1 compact system. Specialists already call it the foundation for the future generation of humanoid robots.

Tinder launched double dates: AI assembles teams of 4 people

Tinder app launched a double date function that allows users to team up with friends to find pairs. Now you can invite up to 3 friends and together browse profiles of other so-called teams. That have at least 1 match in individual preferences.

New benchmark showed AI failure in Olympic programming tasks

A new benchmark LiveCodeBench Pro for evaluating artificial intelligence programming capabilities has appeared. Link in description. It includes the most difficult and fresh tasks from popular competitions. International Olympiad in Informatics and World Programming Championship. Tasks were marked by winners and prize-winners of these competitions themselves.

Data up to 2022 became "pre-nuclear steel" for AI training

Artificial intelligence, intended to become the locomotive of technological progress, is beginning to slow down its own development. According to The Register, generative models have filled the internet with so much synthetic content that this creates a real technological dead end.

Sam Altman revealed Meta's attempts to poach employees for $100 million

Sam Altman publicly revealed the unprecedented talent hunt that Mark Zuckerberg is conducting. The Meta head offers OpenAI employees truly astronomical sums. $100 million just as a signing bonus!