Karriere: KI bedroht viele Jobs in der IT – diese halten Experten für zukunftssicher
Auf kaum eine Branche hat Künstliche Intelligenz so viel Einfluss wie auf die IT-Branche. Welche Kenntnisse bei Unternehmen künftig zählen – und wieviel Gehalt sie dafür zahlen.
Berlin – Dirk Stöckmann, a former miner, has been working for networking equipment company Cisco for 25 years. He began his career as a system engineer in 2001 and later specialized in data center technologies. He later became a technical solutions architect in a data analysis group and obtained one of the most prestigious IT certifications, CCIE, which is held by only about 100,000 people worldwide.
Stöckmann, now 57, celebrates his 25-year work anniversary as a Hypershield Solutions Engineer, where he develops security architectures for AI-based IT systems to better protect data centers and cloud environments. His current salary is in the six figures, a result of his continuous professional development, including renewing his CCIE certification every three years, which provides a substantial bonus.
Stöckmann emphasizes that those pursuing IT careers should be curious about technology and committed to lifelong learning, as AI has made this more important than ever. AI can write code, analyze data, find errors, and test software, all tasks previously done by human specialists. A survey by the Bitkom association, which polled 850 companies, found that eight out of ten believe the shortage of skilled workers in the industry will worsen.
Additionally, 42% expect AI to create additional demand for specialists. However, around 27% anticipate job losses due to AI. Nearly one in four companies report that job applicants do not meet specific requirements brought about by new technologies. What IT talents need to possess currently, and which profiles will become more important or lose significance? The Handelsblatt interviewed experts and listened to company perspectives.
Written by urgent.news from Handelsblatt's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.