Artificial intelligence (AI) could replace humans in 30 to 50 percent of the jobs we know today, predicts a prominent Norwegian transformation leader. said Jennifer Bessels, one of the keynote speakers at the three-day 10th Bahrain International e-Government Forum. She believes the world needs to prepare for the changes that are coming. “Managing, empowering, encouraging, creating and promoting AI is critical if we are to survive,” she said. “AI could be used to do things that we don’t like or that we’re not good at,” Vessels added. “If AI occupies this space, people will have time to create something new and rethink the future.”
Around 30-50% of jobs as we know them will no longer be relevant, and this is an opportunity to create and open up new careers and opportunities for people to embark on. ” Mr. Vessels has led global transformation programs for Adobe, Cisco, Google, and Genentech. Other experts agree, suggesting that AI could threaten many white-collar positions by automating “middle-level, mid-skill” jobs. A recent Goldman Sachs study found that generative AI tools could impact 300 million full-time jobs worldwide, leading to “significant disruption” to the job market. I found out that there is a sex. Ironically, technology jobs such as software developers, web developers, computer programmers, and coders are best suited for data scientists, as AIs like ChatGPT are good at crunching numbers with relative precision. You may be at risk. Because AI can read information, the entire media profession is under threat, including advertising, technical writing, and all roles involved in content creation. , write and understand text-based data.
Similarly, paralegals and legal assistants are responsible for consuming large amounts of information, synthesizing what they learn, and making it “digestible through legal briefs and opinions,” so their jobs in the legal industry are also axed. Businessinsider.com emphasized that there is a possibility of facing this. , when one door closes, another door opens, if possible. Deep learning engineers, AI chatbot developers, prompt engineers, and data annotators are expected to be in high demand in the future.
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