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Time of India
30-07-2025
- Business
- Time of India
The first rung is gone: How AI is blocking US college grads from climbing the career ladder
Representative image There was a time in America when a college degree meant a head start. You studied hard, borrowed tens of thousands of dollars, and walked across a stage with the confidence that, somewhere on the other side, a career was waiting. Entry-level jobs, once the traditional bridge between academia and adulthood, offered modest pay but priceless experience. You started small, learned the ropes, and climbed. But for today's college graduates, that bridge is crumbling. And they're standing on the edge with nowhere to go. Across the United States, artificial intelligence isn't just transforming industries, it's quietly dismantling the bottom rungs of the labor market. And in doing so, it's threatening to break the very pipeline that once fueled American white-collar success. The collapse of the American career start For generations, the US economy operated on a simple contract: young workers offered time, energy, and low-cost labor. In return, companies offered experience and a foothold. That exchange launched millions of careers, from Wall Street to Silicon Valley. Today, that contract is dissolving. AI tools are now handling tasks once reserved for new hires: Generating reports, creating marketing copy, reviewing legal documents, and debugging code. The kind of 'gruntwork' that helped fresh graduates learn by doing is now being done, in seconds, by machines. And as a result, companies across America are hiring fewer young people. At one major recruiting firm in Chicago, requests for entry-level marketing staff have nearly disappeared. In Columbus, Ohio, a consulting firm opted not to hire an intern this summer, choosing ChatGPT to manage social media copy instead. In the tech world, it's worse. Among the 15 largest U.S. tech companies by market cap, the share of entry-level hires has plunged by 50% since 2019, according to SignalFire. In 2024, only 7% of their new hires were recent graduates. These jobs haven't moved overseas. They've moved into algorithms. Fewer jobs, more competition Recent US college graduates are now in the worst position in years. According to federal data, the national unemployment rate hovers around 4%. But among new bachelor's degree holders, it's far higher, 6.6% over the past year. That number doesn't include the underemployed, graduates working in retail, hospitality, or food services while searching for roles they trained for. Applications per job posting have surged. On the popular student job site Handshake, the number of entry-level roles posted this school year fell by 15%, while the number of applicants per position jumped by 30%. It's not just that there are fewer doors; it's that more people are now banging on them, including recently laid-off junior workers trying to get back in. The gruntwork was the training To outsiders, automating menial tasks might seem like progress. But in practice, it's gutting the process by which American workers have traditionally learned. If AI is eliminating the work that once helped young Americans build careers, then the workforce may soon find itself without a bench. The experience catch US employers are shifting expectations, too. What used to be considered "entry-level" now demands experience, AI fluency, and the ability to supervise tools that barely existed three years ago. But college curricula haven't kept pace. Most graduates haven't been trained in how to work with or around generative AI tools. And now, they're being asked to prove themselves in a workforce that no longer provides the space to learn. It's a system out of sync: A fast-moving job market, and an education system playing catch-up. Not just a job market crisis, a generational one The loss of entry-level jobs isn't just a temporary setback. It threatens to fracture the long-term health of America's workforce. Without that foundational experience, the future pool of mid-career professionals, managers, and executives will shrink. The economy may remain productive in the short term, but brittle in the long term, with fewer workers capable of strategic thinking, leadership, or institutional memory. It's a slow erosion of upward mobility. And for the US, a nation built on the belief that hard work can get you ahead, it's a profound challenge to the American Dream itself. Searching for a new on-ramp Some US companies are experimenting with fixes. The Tulsa-based energy firm Williams launched a two-day business fundamentals bootcamp for new hires, trying to substitute AI-lost learning with intentional mentoring. Others, like Carlyle, train new analysts in how to work alongside AI—having them check and refine machine-generated analyses, rather than building them from scratch. But these examples are exceptions. Most companies continue to reduce headcount at the entry level, benefiting from AI-driven efficiency without reimagining how young professionals will be developed. A system at risk of abandoning its future America's most ambitious, educated young people are increasingly being told: There's no seat for you at the table. It's a problem that transcends employment statistics. It touches everything: Student loan debt, mental health, family formation, entrepreneurship, and national competitiveness. If a generation cannot start, it cannot grow. And if it cannot grow, neither can the country. AI was never meant to replace ambition. But unless the US rethinks how it integrates young workers into the future of work, that's exactly what may happen. Ready to navigate global policies? Secure your overseas future. Get expert guidance now!
Time of India
18-06-2025
- Business
- Time of India
'Godfather of AI' Geoffrey Hinton warns AI will take most jobs, only a few careers might survive
Geoffrey Hinton, one of the world's top minds in artificial intelligence, has shared a fresh warning about the future. Known as the Godfather of AI, Hinton believes that artificial intelligence will likely take away most jobs within the next 30 years. In a new episode of the Diary of a CEO podcast, he said that AI could soon surpass human workers in nearly every field. That means the job market could change forever, and millions may lose their jobs unless they adapt to new roles or skills. Physical labour jobs may be the safest Hinton said that while AI is improving fast, it still struggles with tasks that need physical skill. He believes that jobs like plumbing, domestic work, and similar hands-on roles may be safe for a longer time. Geoffrey Hinton needed financial security for his family, so at 65 he sold his neural net company to Google. His former student Ilya Sutskever left Google to co-found OpenAI, where he built ChatGPT. Now Hinton warns about AI risks while OpenAI leads the revolution he sparked. He joked that being a plumber might be one of the best choices right now because AI is not yet good at handling real-world tools or fixing things with its hands. So while many office jobs and digital work may be at risk, people working with their hands might still have a place in the future. One person could soon do the job of ten Hinton warned that relying on AI could lead to major job cuts. With smart systems handling large workloads, fewer people will be needed in many industries. He also questioned the common belief that AI will create new jobs to replace the ones it removes. According to him, the kind of work AI takes over might not leave enough room for people to stay employed unless they are highly skilled or in roles AI cannot perform. Hiring of youth is already dropping Hinton's warning matches what is already happening in the job market. A recent report from the venture firm SignalFire showed that tech giants like Google and Meta have been hiring fewer fresh graduates since 2023. This is ScaryIn 2015, he warned that AI would learn faster than 2018, he predicted it could develop its own 2022, he said we might not be able to stop it (AGI).Now Geoffrey Hinton the 'Godfather of AI' has left Google to speak are his 7… In 2024, only 7 percent of new hires at these companies were freshers, a big drop from the previous year. This is because AI is already doing many of the tasks that entry-level workers used to handle. AI may not replace everyone, but it will reshape everything Hinton said that in some jobs, humans might work alongside AI rather than be replaced by it. But this would still mean fewer people are needed to do the same amount of work. He added that many desk-based jobs, like those in customer service, law, and writing, could disappear. The warning is clear. People need to learn new skills and stay ready for change. AI is growing fast, and only those who adapt may find their place in the future.
NDTV
17-06-2025
- Business
- NDTV
Geoffrey Hinton, Godfather of AI, Warns: These Jobs Will Vanish, But A Few Stand Strong
Geoffrey Hinton, the British-Canadian computer scientist known as the "Godfather of AI", has once again voiced serious concerns about the future of artificial intelligence. In a recent interview on the Diary of a CEO podcast aired on June 16, Hinton warned that AI could eventually surpass humans at virtually everything, raising the risk of mass job loss. He also reiterated his earlier concerns that AI could pose an existential threat to humanity within the next 30 years. However, he noted that some professions may remain safe, at least for now. "I'd say it's going to be a long time before it's as good at physical manipulation," Hinton said. "So a good bet would be to be a plumber." "I think for mundane intellectual labour, AI is just going to replace everybody," Hinton said, referring to roles such as paralegals and call centre workers. "You'd have to be very skilled to have a job that it [AI] just couldn't do." Watch the video here: Hinton also challenged the common belief that AI will generate new jobs to replace those it eliminates. He questioned what roles would remain for humans if artificial intelligence began to automate most mental tasks. His concerns align with current job market trends. A May 2025 report by venture capital firm SignalFire revealed that graduate hiring at major tech companies, such as Meta and Google, decreased by 25% between 2023 and 2024. Only 7% of their hires in 2024 were fresh graduates, down from nearly 10% the previous year, largely because AI systems are now handling many entry-level responsibilities. Hinton agreed that some jobs may evolve into roles where humans work alongside AI, but warned this shift could drastically reduce the workforce. With one person potentially doing the work of 10 using AI tools, he said, many industries could face widespread layoffs and significant job displacement soon. He noted that blue-collar jobs involving manual labour may be relatively safer for now, as they are more difficult to automate than desk-based or cognitive tasks. Sectors like healthcare may also adapt more easily, given the consistently high demand and the human touch often required in those roles.
News18
17-06-2025
- Business
- News18
Wondering Which Jobs AI Can't Take? Ex-Google Researcher Knows The Answer
Last Updated: Geoffrey Hinton hints that, amid AI takeover, some jobs are safer, and he thinks plumbing is a good choice because machines won't be able to do physical jobs anytime soon. Geoffrey Hinton, known as the Godfather of AI and a former Google researcher, recently shared his thoughts on how artificial intelligence might take over jobs. He warned that Artificial Intelligence (AI) will soon become better than humans at many tasks, due to which a large number of people will lose jobs. But Hinton also said some jobs are safer, and he thinks plumbing is a good choice because machines won't be able to do physical jobs anytime soon. While appearing on the Diary of a CEO podcast, Hinton said, 'It's going to be a long time before it's as good at physical manipulation as us. So, a good bet would be to be a plumber. In the past, new technologies have come in, which didn't led to joblessness. New jobs were created. So the classic example people use is automatic tele machines. When automatic tele machines came in, a lot of bank tellers didn't lose their jobs, they just got to do more interesting things." 'Here, I think this is more like when they got machines in the industrial revolution, and you can't have a job digging ditches now because a machine can dig ditches much better than you can. I think for mundane intellectual labour, AI is just going to replace everybody now. If I worked in a call centre, I'd be terrified. I think it's beginning to happen already," Geoffrey Hinton explained. The Godfather of AI further shared that he came across a recent article that said many university graduates are already finding it hard to get jobs. One reason could be that companies have started using AI to do the kind of work these graduates would normally do. He explained that this new technology is very different from earlier ones. Hinton also said that in the future, only those with very special or advanced skills may be safe from losing their jobs to AI. A recent report by SignalFire showed that major tech companies are hiring fewer fresh graduates for entry level jobs than before. One of the main reasons for this drop is the growing use of AI. The report said that in companies like Meta and Google, the number of new graduate hires fell by 25% from 2023 to 2024. In 2024, only 7% of their new hires were fresh graduates. First Published:
Yahoo
12-06-2025
- Business
- Yahoo
Conveyor Raises $20M Series B to Lead the Agentic AI Race in Customer Trust Automation for Security Reviews and RFPs
New funding led by SignalFire will fuel surging enterprise demand for Customer Trust Automation solutions, with continued momentum for Sue – the AI Agent for B2B security review automation – and the acceleration of Phil, the industry's first AI Agent for RFP automation. SAN FRANCISCO, June 12, 2025 /PRNewswire/ -- Conveyor, the market leader in AI Agents for B2B customer trust workflows, including security reviews and RFPs, today announced a $20 million Series B funding round. SignalFire led the raise, with participation from Oregon Venture Fund and Cervin Ventures. Concurrent with fundraising, enterprise software veteran Chris Farinacci (former COO of Asana, former CMO of Google Cloud) will join as an independent board member. This investment reinforces Conveyor's leadership in the emerging Customer Trust Automation category and highlights a vision for an AI-driven future at the intersection of compliance and sales powered by high-context, domain-expert agents. With this round, the company's total funding reaches $40 million. "SignalFire's investment validates our AI-first vision for transforming customer trust," said Chas Ballew, CEO of Conveyor. "We're excited to accelerate our mission of fully automating complex end-to-end workflows and removing trust bottlenecks that slow down enterprise sales. With SignalFire's support, we're laying the foundation for a future driven by AI-to-AI interactions." Enterprise sales processes are routinely delayed by exhaustive security reviews. According to Conveyor's 2024 State of Security Review, on average, reviews take 3.1 weeks to complete—contributing to deal delays for over half (52%) of sales teams. Further, just 13% of information security end users find their current process efficient. In response, a growing number of teams are turning to AI: with 31% of companies already implementing AI in their go-to-market efforts and another 24% planning to adopt within the next year. Conveyor is riding this enterprise demand with over 1 million questions answered by ConveyorAI, more than 800,000 Trust Center interactions, and a 3x growth rate. By accelerating security reviews and RFPs, organizations are transforming compliance into a competitive revenue advantage. Unlike legacy solutions that rely on stale content libraries, low accuracy AI, and basic Trust Center automation—Conveyor's approach builds a living, AI-managed knowledge graph of secure data. These AI Agents are specifically built to handle complex work. They are accurate, know the business's unique context, and can perform multiple steps of end-to-end work autonomously across different tools, even as the organization evolves. Faster Deals, Fewer Bottlenecks, and More Productivity with a Trusted AI LineupSue, Conveyor's breakthrough AI Agent, is the industry's first end-to-end Agent to automate customer security reviews. Sue helps customers self-serve a vendor's sensitive documents and security information using an AI-driven Trust Center, can answer security questionnaires at 95-97% accuracy without human intervention, and autonomously drives the review turnaround process down by 80%. She operates like a living AI-powered source of approved company information, eliminating some of the most tedious and time-consuming tasks in enterprise sales. Building on Sue's success, Conveyor has now introduced Phil, the industry's first AI Agent dedicated to RFP automation. Phil autonomously researches RFP requirements and drafts proposal responses, helping organizations win more deals faster with less effort. Together, Sue and Phil form a powerful AI-driven pair to offload the most labor-intensive elements of customer trust workflows. Developing truly autonomous agents that operate within enterprise environments isn't just a technical challenge—it requires deep integration with complex processes, rigorous accuracy standards, and the trust of risk-sensitive stakeholders. Most AI tools falter when faced with the scale, nuance, and security requirements of enterprise organizations. Conveyor has already overcome these hurdles. By deploying Sue and demonstrating measurable outcomes in some of the largest tech companies in the world, Conveyor has proven that AI agents can be not only helpful, but fully dependable and enterprise-ready. This success validates Conveyor's unique position as a pioneer in applying agentic AI to the real-world complexities of B2B customer trust. "Conveyor is redefining agentic automation in the enterprise." said Tony Pezzullo, Principal at SignalFire. "Conveyor's work with large, sophisticated technology organizations like Workday and Atlassian stood out from the legions of SMB-focused & 'prosumer' tools. Their vision enables the first platform for agent-to-agent communication in customer trust workflows; building the canonical interface for RFPs, security questionnaires, and eventually all high-fidelity customer-facing knowledge base queries." Building an AI-Driven Future with Customer Trust at the CenterIn addition to expanding Sue and Phil's availability, Conveyor will use funding to scale AI research and engineering teams, expand go-to-market initiatives, and advance a long-term vision of enabling AI-to-AI trust exchange—as the trust layer for future interactions between buyer and seller AIs. According to Zendesk's Senior Security Manager of Trust & Assurance, Bogdan Gagea, "Since adopting Conveyor, we've reduced processing time by 20%, saved about 120 hours per month, and improved on-time deliverables. This support helps our go-to-market teams close more deals and renewals, making Conveyor essential for transforming our security function from a cost center into a revenue driver." "We're especially excited about Conveyor's ambition: leading the Customer Trust category and delivering AI Agents that live up to automation expectations with Enterprise capabilities at the core," says Chris Farinacci. Trusted by more than 480 customers, including top-tier enterprise customers like Atlassian, Zendesk, and Qualtrics, Conveyor has already proven this technology accelerates trust building and unlocks faster revenue growth for high-profile organizations. To learn more about Conveyor, please visit About ConveyorConveyor is the leading generative AI-powered platform that automates and scales the most tedious parts of the sales process: customer security reviews and RFPs. Trusted by the world's top SaaS companies, Conveyor helps vendors build trust with customers while reducing the time spent on the mind-numbing task of sharing security information, answering security questionnaires, and responding to RFPs by over 90%. View original content to download multimedia: SOURCE CONVEYOR Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
