June 18, 2025

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Google, Meta AI Talent War, Nvidia Platform Growth

AI's growing influence is sparking both excitement and concern across various sectors. Geoffrey Hinton, often called the 'Godfather of AI,' is raising alarms about potential job displacement, particularly in white-collar roles like paralegals and call center operators, while suggesting that professions involving manual labor, such as plumbing, may be more secure. Hinton also questions whether AI will generate enough new jobs to offset the losses and notes big tech companies are already hiring fewer graduates as AI handles entry-level tasks. However, some believe healthcare jobs will remain relatively safe, especially for highly skilled workers, though AI may take over mundane tasks. Demis Hassabis, CEO of DeepMind, anticipates AI will optimize healthcare but not entirely replace human roles. Meanwhile, companies are actively investing in AI. Capita PLC, after cost-cutting measures that saved \u00a3185 million, is investing in new AI technology, including Salesforce's Agentforce, and has identified over 200 AI use cases in its Capita AI Catalyst Lab. Prodapt is launching AI solutions for telecom companies using the NVIDIA AI platform to automate operations and improve customer experience. Noteefy, a golf reservation platform, is also adding AI tools to streamline booking processes. Revolut plans to launch an AI financial assistant to help users manage their finances. IBM reports saving $3.5 billion by using its own AI technologies to improve cost, workforce, and operational efficiency. Lei Qiu from AllianceBernstein points out that AI innovation is primarily happening at the infrastructure level, indicating the AI buildout is still in its early stages. In the quest for AI dominance, companies like Google and Meta are intensely competing for top AI talent, offering substantial compensation packages. However, Gartner analyst Erick Brethenoux cautions that AI isn't truly helpful if it merely summarizes information without taking action, and vendors may be overstating AI's capabilities. Bloomreach is set to host its Edge Summit in Miami and London in September, focusing on AI's impact on customer experience.

Key Takeaways

  • Geoffrey Hinton ('Godfather of AI') warns of potential job losses due to AI, especially in white-collar jobs like paralegals and call center workers.
  • Hinton suggests roles involving manual labor, such as plumbing, may be safer from AI automation.
  • Healthcare jobs, particularly for skilled workers, are considered relatively safe from AI displacement, though AI may automate mundane tasks.
  • Capita PLC is investing in AI solutions, including Salesforce's Agentforce, after cost-cutting measures that saved \u00a3185 million.
  • Prodapt is launching AI solutions for telecom companies using the NVIDIA AI platform to automate operations and improve customer experience.
  • Noteefy, a golf reservation platform, is adding AI tools to enhance booking management.
  • Revolut plans to launch an AI financial assistant to help users manage their finances.
  • IBM saved $3.5 billion by using its own AI technologies to improve cost, workforce, and operational efficiency.
  • Google and Meta are intensely competing for top AI talent, offering substantial compensation packages.
  • Gartner analyst Erick Brethenoux cautions that AI isn't helpful if it merely summarizes information without taking action.

AI Godfather Hinton warns of job losses names one safe profession

Geoffrey Hinton, the 'Godfather of AI,' warns that AI could cause widespread job losses, especially for white-collar workers. He suggests that roles like paralegals and call center operators are most at risk. Hinton believes AI won't necessarily create new jobs to replace the old ones. He recommends that people consider careers involving manual labor, like plumbing, which are less likely to be automated soon. Hinton received the Nobel Prize in Physics in 2024 for his work on machine learning.

AI expert Geoffrey Hinton predicts mass unemployment safe jobs revealed

Geoffrey Hinton, known as the 'Godfather of AI,' warns that AI could lead to many job losses, particularly in white-collar jobs. He says AI could soon do the work of ten people with just one person and an AI assistant. Hinton suggests that blue-collar jobs, like plumbers, are safer because AI is not yet good at physical tasks. He also challenges the idea that AI will create enough new jobs to make up for the losses. Hinton won the 2024 Nobel Prize in Physics for his work on machine learning.

AI Godfather Geoffrey Hinton warns some jobs will vanish others strong

Geoffrey Hinton, the 'Godfather of AI,' warns that AI could become better than humans at most tasks, leading to job losses. He suggests that jobs needing physical work, like plumbing, might be safer for now. Hinton questions whether AI will create new jobs to replace those it takes over. A report from May 2025 shows that big tech companies are hiring fewer graduates because AI is handling entry-level tasks. Hinton says some jobs may change to involve humans working with AI, but this could still mean fewer jobs overall.

AI Godfather says healthcare jobs safe but skilled workers needed

Geoffery Hinton, former Google AI boss, predicts AI will replace many jobs, but healthcare will be safer. He says even in healthcare, only 'very skilled' workers will keep their jobs. Hinton believes AI will take over mundane tasks, leading to fewer workers needed overall. Other CEOs agree that healthcare jobs are relatively safe from AI because AI can't do many tasks that healthcare workers do. Demis Hassabis, CEO of DeepMind, believes AI will optimize healthcare but not fully replace humans.

AI expert says become a plumber to avoid job loss

Geoffrey Hinton, an AI expert, suggests people should become plumbers because AI will take over many jobs. He says AI will replace 'mundane intellectual labor' in offices. Hinton warns that paralegals and call center workers are at high risk. He believes AI will allow one person with an AI assistant to do the work of ten people. Hinton notes that physical jobs like plumbing will be harder for AI to automate. A recent poll shows AI use in the workplace has nearly doubled in two years.

AI Godfather says some jobs will vanish who should be terrified

Geoffrey Hinton, known as the 'Godfather of AI,' says some jobs are more likely to be replaced by AI than others. He believes AI has the potential to cause mass joblessness, especially in white-collar jobs. Hinton suggests paralegals and call center workers are at risk, but plumbers are safer. He also says AI might decrease hiring, especially for entry-level jobs. A recent report shows big tech companies are hiring fewer graduates because AI is handling entry-level roles.

Capita cuts costs to invest in new AI technology

Capita PLC is maintaining its financial forecast for the year after a slight drop in revenue. The company has saved money through cost reductions and is investing some of those savings in new AI technology. CEO Adolfo Hernandez says the company is marketing these AI solutions to clients. Capita has launched several new AI products, including Salesforce's Agentforce, and has identified over 200 AI use cases in its Capita AI Catalyst Lab. The company has also won new contracts with Southern Water, Primary Care Support England, and the Royal Navy.

Capita invests in AI products after cost-cutting measures

Capita PLC is investing in AI products after cutting costs. The company expects its revenue to stay about the same this year. They have saved £185 million through cost reductions. CEO Adolfo Hernandez says they are using some of the savings to invest in new AI technology and market it to clients. Capita has launched new AI products, including Salesforce's Agentforce, and has found over 200 ways to use AI in its Capita AI Catalyst Lab.

Investing in the future AI buildout

Lei Qiu from AllianceBernstein says that AI innovation is happening at the infrastructure level. She notes that the AI buildout is still in its early stages.

AI drives company transformation how businesses invest

Sonali Basak from Bloomberg, Connie Leung from Microsoft, and Esther Wong from 3C AGI Partner discuss how they are investing to ensure their businesses continue to grow long-term.

Prodapt unveils AI solutions for telecom operations with NVIDIA platform

Prodapt announced new AI solutions for telecom companies that use the NVIDIA AI platform. These AI Agents help automate operations and improve customer experience. The solutions can predict, analyze, and solve problems that affect service quality. Prodapt's AI Agents can improve issue resolution time by 30% and make better use of resources. Chris Penrose from NVIDIA says Prodapt's solution combines AI with human expertise to make telecom networks more proactive.

Noteefy gets investment to add AI to golf platform

Noteefy, a golf reservation platform, received a multimillion-dollar investment to add AI tools. These tools will help golfers and golf course operators manage booking times more efficiently. The AI will automate tasks like answering common questions about tee time availability and course schedules. Noteefy's CEO, Jake Gordon, says the new AI will free up staff to provide better in-person service. The AI-powered tools will be available to Noteefy customers this summer.

AI labs resemble sports teams talent is the new bottleneck

AI labs are starting to look like sports teams because talent is now the most important thing. Star AI researchers are getting huge pay packages, similar to professional athletes. Companies like Google and Meta are focusing on attracting top AI talent. Unlike sports teams, AI employment agreements are short-term, so talent can be easily poached. While AI safety was a concern, competition for talent has become intense.

AI journeys in industry guide government change

The federal government is under pressure to become more efficient, and AI is part of the solution. Ryan McAleer from IBM says that IBM's AI-driven digital transformation can help federal agencies. IBM saved $3.5 billion by using its own AI technologies to improve cost, workforce, and operational efficiency. For example, IBM used AI to reduce cloud spending and automate HR queries. Agencies can use AI to save money, improve service, and better achieve their missions.

Revolut to launch AI assistant for financial help

Revolut, a finance app, plans to launch an AI financial assistant soon. The AI assistant will help customers make smarter money decisions and manage their finances. Revolut wants to use more AI tools to help customers with their finances in 2025. The company says the AI will adapt to each customer's needs and preferences. Revolut has reached 52.5 million users and aims to reach 100 million users in 100 countries.

Gartner analyst says AI isn't doing its job

Gartner analyst Erick Brethenoux says AI isn't helpful if it just summarizes meetings without taking action. He believes AI should simplify users' lives by automatically doing tasks. Brethenoux suggests companies should find out what tasks employees dislike and use AI to automate them. He also warns that AI agents, which are supposed to automate tasks, are not new and may not be able to handle complex tasks. Brethenoux says vendors are overhyping AI's capabilities.

Bloomreach's Edge Summit explores AI in customer experience

Bloomreach is hosting its annual Edge Summit, an AI event for marketing and ecommerce. The event will explore how AI is changing customer experience. Greg Hoffman, former Nike CMO, will be a keynote speaker. The summit will have two experiences: one for experts and one for executives. Raj De Datta, CEO of Bloomreach, says the event will help people learn how to use AI to create better customer experiences. The Edge Summit will take place in Miami and London in September.

Sources

AI Geoffrey Hinton Job displacement Automation White-collar jobs Blue-collar jobs Healthcare AI investment AI solutions NVIDIA Telecom Customer experience AI talent AI labs Government Digital transformation Financial assistant AI agents AI hype AI in marketing AI in ecommerce Capita Prodapt Noteefy Revolut Bloomreach AI adoption Machine learning AI buildout AI use cases