Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds

How Infosys Topaz leverages Amazon Bedrock to transform technical help desk operations

DeepSeek Launches V3.1 AI Model Optimised For Chinese Chips

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
IBM

IBM Lays Off 8,000 Employees for AI Automation, Only to Rehire Just as Many Soon After Because Of…

By Advanced AI EditorJune 30, 2025No Comments4 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


In 2023, IBM made headlines when it laid off 8,000 employees from its human resources department. The reason? A new artificial intelligence system called AskHR was set to replace routine tasks like payroll management, vacation requests, and employee documentation.

The company argued that this transformation would streamline operations, reduce costs, and ultimately boost productivity. And indeed, IBM reported an impressive $3.5 billion increase in productivity across more than 70 job roles.

However, the real twist came when the company’s total workforce didn’t shrink as expected. Instead of simply slashing jobs, IBM found itself rehiring in areas that required human creativity and expertise. Arvind Krishna, CEO of IBM, explained that the savings from automation were funneled into hiring more skilled workers for roles in software engineering, sales, and marketing. These new positions, focused on high-value tasks, became a direct result of IBM’s AI-driven evolution.

A Surprising Outcome: More Jobs Created, Not Fewer

The layoffs, which initially seemed like a cost-cutting measure, had the opposite effect. Arvind Krishna explained this surprising outcome during an interview with The Wall Street Journal: “Our total employment has actually gone up, because what [AI] does is it gives you more investment to put into other areas.”

In other words, while routine HR tasks were automated, IBM redirected the freed-up resources into areas that were resistant to automation. The demand for roles that required creative thinking, problem-solving, and human interaction—skills that AI cannot easily replicate—began to rise.

This was a bold pivot for a company that had made a name for itself in the AI space. By embracing automation, IBM didn’t just aim to reduce its workforce—it sought to reshape its entire employment model to fit a future where technology and human expertise work in tandem.

AI as a Job Creator, Not Just a Job Killer

IBM’s experience is part of a broader trend in the tech industry, where AI isn’t just replacing workers, but transforming the types of jobs available. Automation is most effective at handling routine, repetitive tasks, but it opens up opportunities for workers to focus on more strategic and innovative roles. This shift in job demands is not limited to IBM. Major tech players like Google and Spotify are also using AI to improve efficiency, yet they continue to hire for positions that require a human touch.

The impact on customer satisfaction is another unexpected benefit of automation. IBM’s AskHR platform processed over 11.5 million interactions in 2024, leading to a major improvement in customer satisfaction scores. The platform’s net promoter score (NPS) surged from -35 to +74, a dramatic jump that underscores the effectiveness of AI in handling customer inquiries. Still, despite its high success rate, 6% of requests still require human assistance, proving that AI, while powerful, cannot entirely replace the nuanced understanding and empathy that people provide.

Striking the Right Balance: Automation and Human Expertise

The ongoing transformation at IBM underscores the need for companies to carefully manage the balance between automation and human roles. While AI-driven technologies can greatly increase efficiency and cut costs, they also require companies to be strategic about how they integrate these tools into their workforce.

As Arvind Krishna pointed out, the automation strategy allowed IBM to invest more in areas that need human creativity and interaction, reinforcing that the future of work isn’t about eliminating people but reshaping the workforce to meet new demands.

This story of IBM shows how automation can both disrupt and create opportunities. As technology advances, businesses must be agile in adapting to the changes AI brings, while ensuring they continue to invest in human-driven areas where machines can’t yet compete.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleSundar Pichai: CEO of Google and Alphabet | Lex Fridman Podcast #471
Next Article Time Varying Textures | Two Minute Papers #78
Advanced AI Editor
  • Website

Related Posts

Cisco ties storage networking gear to IBM z17 mainframe

August 21, 2025

Enterprises Are Struggling to Make Generative AI Work. That’s Great News for IBM.

August 21, 2025

IBM and USTA Announce New AI-Powered Tools for the US Open App

August 20, 2025
Leave A Reply

Latest Posts

Tanya Bonakdar Gallery to Close Los Angeles Space

Ancient Silver Coins Suggest New History of Trading in Southeast Asia

Sasan Ghandehari Sues Christie’s Over Picasso Once Owned by a Criminal

Ancient Roman Villa in Sicily Reveals Mosaic of Flip-Flops

Latest Posts

MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds

August 21, 2025

How Infosys Topaz leverages Amazon Bedrock to transform technical help desk operations

August 21, 2025

DeepSeek Launches V3.1 AI Model Optimised For Chinese Chips

August 21, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds
  • How Infosys Topaz leverages Amazon Bedrock to transform technical help desk operations
  • DeepSeek Launches V3.1 AI Model Optimised For Chinese Chips
  • Nvidia works on new AI chip for China: Report
  • Applicability vs. job displacement: further notes on our recent research on AI and occupations

Recent Comments

  1. 🗒 📩 Pending Transaction - 0.25 BTC from new sender. Review? > https://graph.org/REDEEM-BTC-07-23?hs=900cf3af0cace64484b0b4ba804e7021& 🗒 on Baidu AI patent application reveals plans for turning animal sounds into words
  2. 🗒 📩 New Transfer: 1.0 BTC from external sender. Accept? >> https://graph.org/REDEEM-BTC-07-23?hs=6f122b44fee1d74c63c004316d074de3& 🗒 on AI Meets Barbie: Mattel Partners With OpenAI
  3. JamesPic on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  4. XovuseSmono on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  5. Lewiszix on Trump’s Tech Sanctions To Empower China, Betray America

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.