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

Nvidia and Snowflake Power Reka AI to Billion-Dollar Heights

OpenAI talks Oracle into another 2M GPUs worth of datacenter • The Register

Anthropic researchers discover the weird AI problem: Why thinking longer makes models dumber

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
  • Industry AI
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
Customer Service AI

Does Your AI Listen Better Than Humans in Customer Service (and Journalism)?

By Advanced AI EditorApril 1, 2025No Comments6 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


The Gist

AI expands beyond chat. Generative AI is now capable of taking calls, conducting research, and simulating personalities, pushing its utility far past simple chatbot interactions. Customer service is in AI’s sights. Sales and support roles are among the most impacted, with AI agents proving to be more patient, knowledgeable, and consistent than some human counterparts. Real-world use cases show promise. Klarna’s CEO reported equal customer satisfaction scores between AI agents and human agents, prompting a reduction in outsourced human support. Human-like AI is already here. From AI-generated podcasts to voice bots conducting interviews, the technology is becoming eerily convincing — and potentially more effective in some communication scenarios. Job displacement remains uncertain but looming. While AGI is not guaranteed in the near term, AI’s rapid progress could lead to smaller teams and reduced hiring needs across industries.

I’ve had a gnawing feeling lately about AI. Although the prophecies that chatbots would take our jobs have so far been false, the underlying technology’s evolution is making me believe it may soon automate much of my work, and perhaps yours too.

Table of Contents

AI Goes Beyond Chat and Into the Real World

More than two years after ChatGPT’s release, generative AI’s core use case is extending beyond chat. There are now early iterations of software that operates your computer on your behalf. There are AIs that will do serious, if imperfect, research for you. And perhaps most unnerving, there are AIs that simulate human voices and personalities, going out into the world to seek and share information, and even entertain. It may not be time to panic, but I’m starting to rethink some of my calmer assumptions about where this all leads.

An AI Journalist Clone Outperforms its Creator

A few weeks ago, I met with Evan Ratliff, a journalist who cloned his voice with AI, attached it to an AI model, and had it talk to friends, family and even a therapist. Ratliff captured the experience in a podcast series called Shell Game. And as he relayed the finer details to me in person — I wasn’t risking meeting his AI bot on Zoom — he shocked me with one anecdote.

Ratliff says his voice bot conducted an interview with a tech CEO, and the bot was able to obtain better information than he, the human journalist, could. Before the call, Ratliff prompted his AI clone with questions and instructed it to ask anything else potentially relevant. The tech CEO played along with the interview — he works in AI voice tech, for what it’s worth — and gamely responded to the bot’s questions. When Ratliff listened to the recording, he was surprised to find the CEO really opened up.

“He was a little more forthcoming with the AI than he was with me,” Ratliff told me. “There’s a quality of, you don’t necessarily feel like there’s someone there and you might be a little more intimate than you would have otherwise. And that can be very valuable in an interview for a reporting project.”

As a fellow reporter, I’d long assumed that our work — obtaining new information and disseminating it — would insulate us from AI automation. It’s a job that requires building relationships, eliciting information from sources and communicating it effectively. That was supposed to be as human as it gets. But Ratliff’s bot showed otherwise.

The typical rebuttal here is that AI still can’t fake personality, but I am sorry to report that it can. Last year, Google released NotebookLM, a product that generates lively podcasts hosted by AI voice bots from just a few links or documents. The podcasts aren’t perfect. But as AI practitioners say, they’re worse now than they’ll ever be. And they’re really not bad today. Already, multiple members of my podcast audience have asked me if I rented my voice to Google for the project. I did not. But the insinuation is unnerving.

Related Article: Navigating AI Hallucinations: A Personal Lesson in Digital Accuracy

Customer Service: AI’s Next Big Frontier

I doubt this stops with our profession. Sales and customer service are directly within AI’s reach, with more fields to follow. Sometimes loudly and sometimes in a hush, tech executives tell me that AIs in these fields can be more patient, more knowledgeable and better listeners than humans. And as the technology advances, it’s getting easier to build and integrate the applications.

Sebastian Siemiatkowski, the CEO of Klarna, a financial services provider, tells me that his company was able to reduce outsourced human customer service after deploying AI agents, without a noticeable quality dropoff.

“When we started exposing this chat AI agent to customers and they had the opportunity to interact with it as an alternative to a human agent, the customer satisfaction on that was equal to a human agent in many cases,” Siemiatkowski says.

Related Article: AI’s Transformative Role in Customer Support and Service

View all

The Uncertain Road Ahead for AI and Jobs

This might sound scary, but I still believe it’s unlikely that AI will fully take over your job, or mine, anytime soon. The technology is showing signs that it can take on more advanced work, but it still struggles to multitask and it often requires a human guiding it, as in the case of Ratliff.

Some say these shortcomings, too, will be overcome in a matter of time. AI optimists say human-level artificial intelligence, or AGI, is just two or three years away. But generative AI pioneers like ex-OpenAI chief scientist Ilya Sutskever have suggested that the proven methods for improving these models are about to be exhausted. So an imminent robot takeover is far from certain.

Still, as AI extends beyond the chatbot — and toward something that can research, take calls and even pontificate — it’ll likely become a force multiplier, used to scale up individuals’ effort and help them cover more ground. That might lead to less hiring, smaller companies, or potentially fewer overall jobs.

And now I’m less confident in our broader ability to weather this change without pain.

fa-solid fa-hand-paper Learn how you can join our contributor community.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleProgress Software pleases investors as it beats expectations and raises its full-year guidance
Next Article GE Vernova, MIT launch alliance to build ‘grid of the future’
Advanced AI Editor
  • Website

Related Posts

How Financial Services Companies Use Agentic AI to Enhance Productivity, Efficiency and Security

July 22, 2025

When AI makes customer experience feel personal

July 22, 2025

AI in customer communication: the opportunities and risks SMBs can’t ignore

July 22, 2025
Leave A Reply

Latest Posts

3,800-Year-Old Warrior’s Tomb Unearthed in Azerbaijan

Removed Romanesque Murals Must Be Returned to Sijena Monastery

President Trump Withdraws US from UNESCO

Morning Links for July 22, 2025

Latest Posts

Nvidia and Snowflake Power Reka AI to Billion-Dollar Heights

July 23, 2025

OpenAI talks Oracle into another 2M GPUs worth of datacenter • The Register

July 23, 2025

Anthropic researchers discover the weird AI problem: Why thinking longer makes models dumber

July 22, 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

  • Nvidia and Snowflake Power Reka AI to Billion-Dollar Heights
  • OpenAI talks Oracle into another 2M GPUs worth of datacenter • The Register
  • Anthropic researchers discover the weird AI problem: Why thinking longer makes models dumber
  • OpenAI agreed to pay Oracle $30B a year for data center services
  • Inside the Conference Shaping Frontier AI for Science

Recent Comments

  1. binance on OpenAI DALL-E: Fighter Jet For The Mind! ✈️
  2. JeffreyCoalo on Local gov’t reps say they look forward to working with Thomas
  3. Duanepiems on Orange County Museum of Art Discusses Merger with UC Irvine
  4. fpmarkGoods on How Cursor and Claude Are Developing AI Coding Tools Together
  5. avenue17 on Local gov’t reps say they look forward to working with Thomas

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.