Technology are asking for “AI Fluency” for their vacancies. The problem is that a euro is not being invested in teaching it

Recently, Andy Jassy, ​​CEO of Amazon told them In a statement to its employees that, in the coming years, their jobs They will change or disappear If they do not learn to use AI tools. Companies pronounced on the same line Like DuolingoZapier or Shopify.

That turn towards the domain of AI tools has made A new concept Start appearing in technological employment offers: “ai fluency” or literacy in AI. The new hiring requirement with which companies ask that candidates come formed from home in the use of AI.

What is literacy in AI. The literacy in artificial intelligence or “ai fluency” in its English terminology, it refers not only to the basic use of AI in the workplace (where its main value has been shown It is the translation) but the ability to integrate it into processes work to optimize them.

Wade Foster, co -founder and CEO of Zapier, said in his X profile that the company had established a new standard when hiring, and 100% of its new employees should be “fluids” in AI. That meant that all his New employment offersThey were going to have a new requirement: “AI Fluency”, regardless of whether it is for a position in sales, product or development.

How to define that literacy. Zapier It is not the only which has decided to add this new concept to job offers. It is enough to happen A lap By Glassdoor or other technological employment platforms to begin finding offers that already claim that literacy in AI together with requirements such as experience or mastery of programming languages.

One of the most recurring questions that users made to Foster after their message was how literacy is measured in the candidate. Zapier’s manager He replied After a few days including a table with examples of the level of literacy in AI that the candidates should have based on the expectations of the position they aspired. The basis of this table is the level of complexity and integration of AI in their work that each candidate is able to demonstrate.

“5 years of experience” for Juniors. At this point no one doubts that The use of AI It will be a basic requirement in most jobs in different degrees, as is the use of office tools. That leads us to the question about whether this new requirement will become another irrational demand in job offers, such as those that human resources professionals They have been denouncing for years.

Ask for five years of experience for a junior job, 10 years of experience in a programming language that was invented five or being graduated from a particular university.

The curiosity of employees. The key to this new ability to get a job is based on the employee know How AI models workhow to give the right commands and how to generate correction loops so that the AI ​​itself detects its mistakes. However, all this needs Advanced training that, for the moment, it is borne by employees who use AI tools on their own and learn to use it Back to companies.

According to data from ‘Autumn Work Force Index of 2024’ Prepared by Slack, 76% of the employees surveyed are willing to form in the use of AI for their work. However, 48% of them They would feel uncomfortable recognizing that they currently use it.

Companies do not train their employees in AI. The current reality of literacy in the AI ​​of companies collides frontally with their desires to integrate this technology into their processes. A recent report In Infojobs ensures that 1 in 3 employees uses some type of AI in their work. Of those who usually use it, only 20% say they have received some type of training to integrate it into their job, while 60% say they have not received it, nor are there plans to receive it in the next six months.

He annual report Infoempleo and adecco supply and demand for employment in Spain 2024 is even more devastating with its figures: 84.71% have not facilitated any training in artificial intelligence to its employees.

Realistic jobs against scarcity. According to A report From the Bank of Spain, 45.8% ensure that the shortage of qualified personnel is the main obstacle to integrate into their processes. Impose literacy criteria in unrealistic the positions for junior positions or who do not need it, can chronify that personnel scarcity and prevent the access to the labor market To the youngest.

Imposing unreal requirements makes it generate A talent scarcity equally unreal, not because There are no professionals trained To develop that position, but because companies are not investing in training professionals for those vacancies and expect them to come from home and fit 100% in their vacancies.

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