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

MIT rejects Trump administration’s higher education funding agreement

Reinforcing Diffusion Models by Direct Group Preference Optimization – Takara TLDR

it takes more than chips to win the AI race

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
Customer Service AI

How AI is changing expectations for customer support on social media

By Advanced AI EditorJuly 1, 2007No Comments2 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


This story was originally published on CX Dive. To receive daily news and insights, subscribe to our free daily CX Dive newsletter.

AI is transforming how consumers expect brands to interact on social media, an Emplifi report released Wednesday found. Emplifi, a social media and customer engagement platform, surveyed nearly 900 frequent social media users.

Over half of surveyed consumers still prefer human support, and one-quarter say they prefer AI-powered support.

However, when asked about their experiences with AI-powered support, 71% of consumers surveyed said they were somewhat or very satisfied with their experiences.

More and more consumers are interacting with AI when they reach out to brands on social media. As the technology becomes more mainstream, people are more comfortable using it for customer support.

“If they are a person who’s played around with ChatGPT and various AI platforms, they’re more likely to trust that consumer affairs, customer care data,” Susan Ganeshan, CMO of Emplifi, told CX Dive. “If they aren’t someone who’s done that, they’re a lot less likely to trust it.”

Nearly three-quarters of AI users are comfortable with AI answering basic product questions. Only 2 in 5 consumers who don’t use AI are comfortable with the technology answering basic product questions.

They also have different expectations for AI. The top benefit of AI is 24/7 availability followed by fast responses. Two-thirds of respondents said they expect an immediate response from AI. Only one-quarter are willing to wait up to an hour for a response from AI.

Among those who prefer human support, 3 in 5 cite the value of personalized interactions.

Clearer disclosure also builds trust, Ganeshan said. More than 4 in 5 social media users want brands to disclose AI usage in customer care.

It’s also important to balance AI use and human support. Ganeshan urges brands on three steps. First, “always telling people that this is powered by AI, two, giving them the option to opt out, to talk to somebody, and then, three, suggesting to them other avenues they might take. So for example, you could say, ‘Here’s a number to call us, here’s an email, here’s a way to chat with us.’”

Recommended Reading



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleIBM (IBM) Forms ‘Hammer Chart Pattern’: Time for Bottom Fishing?
Next Article Asian shares fall after a quiet day on Wall St, but Nvidia hit by US ban on exporting AI chip
Advanced AI Editor
  • Website

Related Posts

10 Best AI Tools to Automate Customer Support

October 10, 2025

Six African Startups Using AI for Customer Support

October 10, 2025

Dealing with ‘AI fatigue’ | Managers at Work

October 10, 2025

Comments are closed.

Latest Posts

The Rubin Names 2025 Art Prize, Research and Art Projects Grants

Kochi-Muziris Biennial Announces 66 Artists for December Exhibition

Frieze to Launch Abu Dhabi Fair in November 2026

Jeff Koons Returns to Gagosian with First New York Show in Seven Years

Latest Posts

MIT rejects Trump administration’s higher education funding agreement

October 11, 2025

Reinforcing Diffusion Models by Direct Group Preference Optimization – Takara TLDR

October 11, 2025

it takes more than chips to win the AI race

October 11, 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

  • MIT rejects Trump administration’s higher education funding agreement
  • Reinforcing Diffusion Models by Direct Group Preference Optimization – Takara TLDR
  • it takes more than chips to win the AI race
  • Alibaba’s Artificial Intelligence (AI) Push: Could This Be China’s Best Answer to Nvidia?
  • Hollywood-AI battle heats up, as OpenAI and studios clash over copyrights and consent

Recent Comments

  1. QuantumLeapB8Nalay on Marc Raibert: Boston Dynamics and the Future of Robotics | Lex Fridman Podcast #412
  2. Beste Wettanbieter Ohne Steuer on Trump’s Tech Sanctions To Empower China, Betray America
  3. Remygin4Nalay on AI code suggestions sabotage software supply chain • The Register
  4. Remygin4Nalay on Mistral AI signs $110m deal with shipping giant CMA CGM
  5. VictoryEchoM5Nalay on Nvidia takes $4.5bn hit due to export restrictions

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.