Amazon relies on robots: job fear of job grows in the camps!

Amazon relies on robots: job fear of job grows in the camps!

The future of Amazon is increasingly automated. The online giant plans to significantly increase the number of robots in its warehouses, so that machines could soon outperform human employees. At the moment, the company is already keeping a million machines into operation, including robot -based arms and driverless transport systems that have been increasingly being used since 2020. In fact, the number of robots in Amazon's warehouses has been exposed in recent years. While in 2015 each employee edited only 175 packages, today there are over 3,870 a year, which increases the pressure on human workers. Unionrayo reports that this development not only increases efficiency, but also reduces the physical stress of the employees and provides relief in monotonous tasks.

But there are also dark sides. CEO Andy Jassy openly indicated that this automation will inevitably lead to a decline in jobs. It is estimated that many jobs could be replaced by artificial intelligence (AI) in the next few years. According to a report by the World Economic Forum, around 92 million jobs will be lost by 2030, while around 170 million new ones could be created. DW notes that Jassy is not alone. He predicts that AI will have far -reaching effects on job offers in many industries. The CEO des Ki startup Anthropic estimates that in the next one to five years up to half of all entry-level jobs is threatened by AI.

The profound effects of automation

What does that mean for us? Automation is a trend that can no longer be stopped, and it not only changes how companies work, but also the entire labor landscape. A report by the Federal Center for Political Education points out that AI technologies can significantly create new job profiles, while at the same time many traditional jobs are in danger. Progress in AI make far -reaching changes in the world of work possible, but these changes bring about opportunities and risks. While some think that these technologies ultimately create more jobs, others warn of the immediate consequences of the job loss. BPB emphasizes that professions that are difficult to automate, such as construction workers or childcare.

The current situation shows that the introduction of automation and AI progresses faster than the companies are able to train or further train their employees. Amazon has trained more than 700,000 employees since 2019, but this number has been overshadowed by over 27,000 layoffs since 2022. This included employees in the retail and equipment departments. For many workers, the focus is now on the uncertainty of their career and future opportunities, especially in areas that can no longer keep up with rapid technological progress. [DW] (https://www.dw.com/de/amazon-ki-werd-wache-arbeitspl%C3%A4tze et .ather

The challenges of adaptation

So which way is correct? Labor market experts like Enzo Weber warn against overlooking the potential economic opportunities that AI offers. In technology, he not only sees a threat, but also a way to create new jobs if the employees develop accordingly. According to a Harvard study, automation could not necessarily be associated with the loss of employment; Instead, it could even lead to an increase in employment in some sectors. While the idea of ​​overarching job losses by AI is widespread, reality is often more complex. bpb shows that the effects of AI depend heavily on the industry meaning and the qualification of the workforce.

Another central topic is the willingness of companies to adapt to the current changes. Companies that have released human labor unplanned in the past often show little democratic foresight in their personnel strategies. Companies like Shopify already require a justifying basis if additional employees are requested, while Duolingo is planning to replace external employees gradually with AI. A clear course in the direction of automation could close the skills in the long term, but also carries risks, such as increased workload and uncertainties at the workplaces.