The widespread adoption of Artificial Intelligence (AI) is likely to displace people from jobs in a similar way seen during the Industrial Revolution, the governor of the Bank of England has said. Andrew Bailey said the UK needed to have the training, education, [and] skills in place so workers could shift into jobs that use AI. He told the BBC Radio 4's Today programme people looking for a job would find securing employment a lot easier if they had such skills. However, he warned that there was an issue with younger, inexperienced professionals finding it difficult to secure entry-level roles due to AI. We do have to think about, what is it doing to the pipeline of people?

After sending out more than 100 applications, I learned the robots are no longer satisfied with taking our jobs--they also want to prevent us from getting new ones. I got laid off five months ago. Every morning I drink a pot of coffee while I write cover letters, tweak my résumé, and submit job applications into the abyss, knowing they will likely never be seen by human eyes--only crawled by the cold, lifeless algorithms of an artificial intelligence. I feel like General Zod from, floating off into space trapped inside a two-dimensional phantom zone, screaming in silence about my job qualifications and core competencies. The job market is a mess.

The government has shut down - what's next? Will a government shutdown hurt the economy? From Wall Street trading floors to the United States Federal Reserve to economists sipping coffee in their home offices, the first Friday morning of the month typically brings a quiet hush around 8:30am Eastern time in the US [12:30 GMT] as everyone awaits the Labor Department's crucial monthly jobs report. But with the government shut down, no information was released on Friday about hiring in September. Hiring has ground nearly to a halt, threatening to drag down the broader economy. Yet at the same time, consumers -- particularly higher-income earners -- are still spending, and some businesses are ramping up investments in data centres developing artificial intelligence models.

There's Never Been a Worse Time to Be Authentic at Work Workers have been told to bring themselves to work, only to be disappointed time and time again, argues author Jodi-Ann Burey in her new book. Jodi-Ann Burey was only two weeks into her new role as an inclusion marketing manager for an outdoor retail company when she was accused of having a "race agenda." Burey, who is Black, was no stranger to workplace hypocrisy; as she sees it, the office is a petri dish where the knotty dynamics of society are concentrated. At the time of the accusation in February 2020, however, all she could do was laugh. "I was like, you knew who I was before you poached me. This is exactly what you wanted me to do," she says over Zoom.

I was struck by her pessimism, which she told me was shared by friends from California to Georgia to New Hampshire. In an already fragile world, one increasingly beset by climate change and the breakdown of the international order, AI looms in the background, threatening young people's ability to secure a prosperous future. Just a few days before our drive, OpenAI CEO Sam Altman was telling the US Federal Reserve's board of governors that AI agents will leave entire job categories "just like totally, totally gone." Anthropic CEO Dario Amodei told Axios he believes AI will wipe out half of all entry-level white-collar jobs in the next five years. Amazon CEO Andy Jassy said the company will eliminate jobs in favor of AI agents in the coming years. Shopify CEO Tobi Lütke told staff they had to prove that new roles couldn't be done by AI before making a hire.

In this interview series, we're meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. In this latest interview, Haimin Hu tells us about his research on the algorithmic foundations of human-centered autonomy and his plans for future projects, and gives some advice for PhD students looking to take the next step in their career. My PhD research, conducted under the supervision of Professor Jaime Fernández Fisac in the Princeton Safe Robotics Lab, focuses on the algorithmic foundations of human-centered autonomy. By integrating dynamic game theory with machine learning and safety-critical control, my work aims to ensure autonomous systems, from self-driving vehicles to drones and quadrupedal robots, are performant, verifiable, and trustworthy when deployed in human-populated space. The core principle of my PhD research is to plan robots' motion in the joint space of both physical and information states, actively ensuring safety as they navigate uncertain, changing environments and interact with humans.

MikeroweWORKS Foundation founder Mike Rowe joins'The Brian Kilmeade Show' to discuss how AI and robots threaten white-collar jobs, as the nation faces a need for blue-collar workers. Mike Rowe is sounding the alarm about the future of white and blue-collar jobs, and is urging young Americans to rethink their career choices due to threats from artificial intelligence. The former star of the shows "How America Works" and "Dirty Jobs" sat down with Fox News Radio host Brian Kilmeade to discuss the outlook for the U.S. job market amid recent developments from President Donald Trump's administration to invest in domestic energy and artificial intelligence. Trump visited Pittsburgh on July 15 to announce a 90 billion investment in data centers and other energy projects in Pennsylvania. Rowe was also present at the event, dubbed the Energy and Investment Summit, at Carnegie Mellon University.

FOX Business' Taylor Riggs joins'Fox & Friends' to discuss her take on the June jobs report, Democrats' attacks against the legislation and why they claim it will target Medicaid. This summer should be bringing the Class of 2025 a moment of well-deserved relaxation before they launch their careers. Instead, far too many college and high-school graduates are filled with anxiety. They've applied for dozens, perhaps hundreds, of jobs, but interviews and offers have become increasingly rare. The national unemployment rate for young adults aged 20 to 24 looking for work is 6.6% -- the highest level in a decade, excluding the pandemic unemployment spike.

A shifting graduate labour market is not unusual, said Kirsten Barnes, head of digital platform at Bright Network, which connects graduates and young professionals to employers. "Any shifts in the graduate job market this year – which typically fluctuates by 10-15% – appear to be driven by a combination of factors, including wider economic conditions and the usual fluctuations in business demand, rather than a direct impact from AI alone. We're not seeing a consistent trend across specific sectors," she said. Claire Tyler, head of insights at the Institute for Student Employers (ISE), which represents major graduate employers, said that among companies recruiting fewer graduates "none of them have said it's down to AI". Some recruitment specialists cited the recent increase in employer national insurance contributions as a factor in slowing down entry-level recruitment.

This paper presents a machine learning methodology prototype using a large synthetic dataset of job listings to identify trends, predict salaries, and group similar job roles. Employing techniques such as regression, classification, clustering, and natural language processing (NLP) for text-based feature extraction and representation, this study aims to uncover the key features influencing job market dynamics and provide valuable insights for job seekers, employers, and researchers. Exploratory data analysis was conducted to understand the dataset's characteristics. Subsequently, regression models were developed to predict salaries, classification models to predict job titles, and clustering techniques were applied to group similar jobs. The analyses revealed significant factors influencing salary and job roles, and identified distinct job clusters based on the provided data. While the results are based on synthetic data and not intended for real-world deployment, the methodology demonstrates a transferable framework for job market analysis.