
IBM is cutting around 8000 jobs likely because of AI, major losses in HR department
IBM has laid off around 8,000 employees, and reports suggest that most of the job cuts are coming from the company's Human Resources (HR) department. The move comes just days after IBM reportedly replaced 200 HR roles with AI agents as part of an automation push. Basically, with AI now doing the work that was once handled by humans, many roles are slowly being phased out.advertisementEarlier this month, IBM reportedly replaced about 200 HR positions with AI agents. Meaning: The company now has software programs that can carry out tasks like sorting information, answering employee queries, or processing internal paperwork. These agents are designed to handle repetitive tasks that don't require much human judgment. Now, with the company doubling down on AI, it seems like thousands of jobs are being affected.IBM's CEO, Arvind Krishna, hinted at this change in a recent interview. He explained that AI and automation were being used to streamline certain enterprise processes and make teams more efficient. At the time, he said the total number of employees at IBM had actually increased, as savings from automation were being invested in other parts of the business, like software development, marketing, and sales.advertisement
'While we have done a huge amount of work inside IBM on leveraging AI and automation on certain enterprise workflows, our total employment has actually gone up,' Krishna reportedly said. 'It gives you more investment to put into other areas.'Basically, IBM claims that it isn't shrinking across the board. Instead, it is shifting its focus. Jobs that require creativity, strategic thinking, or strong people skills, such as those in marketing or software development, are still in demand. But roles that involve routine, repetitive work, especially in back-office functions, are at higher risk.Meanwhile, IBM's Chief Human Resources Officer, Nickle LaMoreaux, has said that the use of AI doesn't necessarily mean all jobs will disappear. 'Very few roles will be completely replaced,' she explained. Instead, AI will take over the repetitive parts of the job, freeing up employees to focus on areas that need human judgment and decision-making.Interestingly, despite the massive cuts, IBM continues to promote its AI tools to clients. At its annual Think conference held this month, the company launched new services to help other businesses build and run their own AI agents. These tools are designed to work alongside major platforms from OpenAI, Amazon, and Microsoft.This trend isn't unique to IBM. Many companies around the world are experimenting with AI-powered tools to automate tasks and reduce costs. Last month, Duolingo announced that it is replacing human contractor jobs with AI. 'We'll gradually stop using (human) contractors to do work that AI can handle,' said Duolingo CEO Luis von Ahn. In April, Shopify CEO Tobias Lutke publicly shared an internal memo that basically set up a new direction for the company. According to the memo, going forward, the company CEO said that if anyone hires a human employee, they will have to first justify why AI can not do that job. 'Before asking for more headcount and resources, teams must demonstrate why they cannot get what they want done using AI,' he wrote in the memo. 'What would this area look like if autonomous AI agents were already part of the team?'

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India Today
40 minutes ago
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Time of India
an hour ago
- Time of India
OpenAI plans to position ChatGPT as super assistant
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Time of India
2 hours ago
- Time of India
View: Ads ruined social media. Now they're coming to AI chatbots
By Parmy Olson Chatbots might hallucinate and sprinkle too much flattery on their users — 'That's a fascinating question!' one recently told me — but at least the subscription model that underpins them is healthy for our wellbeing. Many Americans pay about $20 a month to use the premium versions of OpenAI 's ChatGPT, Google's Gemini Pro or Anthropic's Claude, and the result is that the products are designed to provide maximum utility. Don't expect this status quo to last. Subscription revenue has a limit, and Anthropic's new $200-a-month 'Max' tier suggests even the most popular models are under pressure to find new revenue streams. Unfortunately, the most obvious one is advertising — the web's most successful business model. AI builders are already exploring ways to plug more ads into their products, and while that's good for their bottom lines, it also means we're about to see a new chapter in the attention economy that fueled the internet. If social media's descent into engagement-bait is any guide, the consequences will be profound. One cost is addiction. Young office workers are becoming dependent on AI tools to help them write emails and digest long documents, according to a recent study, and OpenAI says a cohort of 'problematic' ChatGPT users are hooked on the tool. Putting ads into ChatGPT, which now has more than 500 million active users, won't spur the company to help those people reduce their use of the product. Quite the opposite. Advertising was the reason companies like Mark Zuckerberg's Meta Platforms Inc. designed algorithms to promote engagement, keeping users scrolling so they saw more ads and drove more revenue. It's the reason behind the so-called 'enshittification' of the web, a place now filled with clickbait and social media posts that spark outrage. Baking such incentives into AI will almost certainly lead its designers to find ways to trigger more dopamine spikes, perhaps by complimenting users even more, asking personal questions to get them talking for longer or even cultivating emotional attachments. Millions of people in the Western world already view chatbots in apps like Chai, Talkie, Replika and Botify as friends or romantic partners. Imagine how persuasive such software could be when its users are beguiled. Imagine a person telling their AI they're feeling depressed, and the system recommending some affordable holiday destinations or medication to address the problem. Is that how ads would work in chatbots? The answer is subject to much experimentation, and companies are indeed experimenting. Google's ad network, for instance, recently started putting advertisements in third-party chatbots. Chai, a romance and friendship chatbot, on which users spent 72 minutes a day, on average, in September 2024, serves pop-up ads. And AI answer engine Perplexity displays sponsored questions. After an answer to a question about job hunting, for instance, it might include a list of suggested follow ups including, at the top, 'How can I use Indeed to enhance my job search?' Perplexity's Chief Executive Officer Aravind Srinivas told a podcast in April that the company was looking to go further by building a browser to 'get data even outside the app' to track 'which hotels are you going [to]; which restaurants are you going to,' to enable what he called 'hyper-personalized' ads. For some apps, that might mean weaving ads directly into conversations, using the intimate details shared by users to predict and potentially even manipulate them into wanting something, then selling those intentions to the highest bidder. Researchers at Cambridge University referred to this as the forthcoming 'intention economy' in a recent paper, with chatbots steering conversations toward a brand or even a direct sale. As evidence, they pointed to a 2023 blog post from OpenAI calling for 'data that expresses human intention' to help train its models, a similar effort from Meta, and Apple's 2024 developer framework that helps apps work with Siri to 'predict actions someone might take in the future.' As for OpenAI's Sam Altman, nothing says "we're building an ad business' like hiring the person who built delivery app Instacart into an advertising powerhouse. Altman recently poached CEO Fidji Simo to help OpenAI 'scale as we enter a next phase of growth.' In Silicon Valley parlance, to 'scale' often means to quickly expand your user base by offering a service for free, with ads. Tech companies will inevitably claim that advertising is a necessary part of democratizing AI. But we've seen how 'free' services cost people their privacy and autonomy — even their mental health. And AI knows more about us than Google or Facebook ever did — details about our health concerns, relationship issues and work. In two years, they have also built a reputation as trustworthy companions and arbiters of truth. On X, for instance, users frequently bring AI models Grok and Perplexity into conversations to flag if a post is fake. When people trust AI that much, they're more vulnerable to targeted manipulation. AI advertising should be regulated before it becomes too entrenched, or we'll repeat the mistakes made with social media — scrutinising the fallout of a lucrative business model only after the damage is done. (This column reflects the personal views of the author and does not necessarily reflect the opinion of the editorial board or Bloomberg LP and its owners.)(Parmy Olson is a Bloomberg Opinion columnist covering technology. A former reporter for the Wall Street Journal and Forbes, she is author of 'Supremacy: AI, ChatGPT and the Race That Will Change the World.')