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

3 No-Brainer Artificial Intelligence (AI) Stocks to Buy Right Now

Paper page – Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning

Jensen Huang, NVIDIA, on AI factories, DeepSeek, and robots

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
AI for Recruitment

Job Search Struggles Fixed Today

By Advanced AI EditorJuly 22, 2025No Comments3 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Job seekers are navigating a minefield of ghosting, misleading job postings, and rising AI-driven pressure, not to mention a highly competitive market, according to Greenhouse’s 2025 Workforce and Hiring Report. The hiring experience is broken — and staffing agencies have a critical opportunity to step in, rebuild trust, and lead with solutions. But doing so requires bold action and a deep understanding of what candidates are truly facing.

1. It’s a brutally competitive market

Nearly 70% of job seekers in Greenhouse’s survey of 6,000 workers in the US, UK, and Ireland describe the job market as “extremely” or “very” competitive. Only 7% believe the market favors candidates.

What this means for staffing agencies:

Now more than ever, job seekers want guidance. They’re overwhelmed and unsure how to stand out. Agencies that provide hands-on coaching, resume refinement, and strategic targeting can become invaluable allies.

Consider:

Offering workshops or 1:1 sessions on standing out in a competitive applicant pool.Positioning recruiters as “career coaches,” not just job matchers.

2. Friction is killing applications

In the US, 46% of candidates abandon applications when forced to re-enter resume data. Complex portals, multi-page forms, and broken autofill features are common dealbreakers. The job search process is already taxing — they don’t want to swim upstream if they don’t have to.

‍

What this means for staffing agencies:
Your application process can be a differentiator or a deterrent. If your intake tech creates hurdles, you’re losing top talent before you ever meet them.

‍

Consider:

Streamlining candidate applications — autofill, mobile-optimized, and user-friendly.Auditing client-side application processes and advocating for candidate-friendly changes.

3. Communication gaps are eroding trust

More than six in 10 US candidates (63%) say they’ve been ghosted after interviews. This jumps to 78% among Gen Z. And the ghosting goes both ways — 50% of candidates in the US have ghosted employers, largely due to poor communication or delays.

What this means for staffing agencies:
Timely, transparent communication is non-negotiable. Agencies must bridge the gap between candidates and clients, ensuring neither side feels left in the dark.

Consider:

Setting expectations with clients on response times and follow-ups.Using automation thoughtfully to keep candidates updated, especially if a decision is delayed.

4. AI is reshaping candidate behavior

Nearly a quarter of US candidates (22%) are using AI agents to apply for jobs. Many also use it to prep for interviews, write cover letters, or even generate fake portfolios.

What it means for staffing agencies:
The line between ethical AI use and “gaming the system” is blurring. Recruiters must adapt to AI-savvy candidates while upholding quality standards.

Consider:

Educating candidates on appropriate AI use and helping them avoid ethical missteps.Using AI tools internally to screen submissions for authenticity and skill relevance.

5. Misaligned compensation and “bait-and-switch” tactics are common

The majority of US candidates (72%) report bait-and-switch experiences — misleading salary ranges, changed job duties, or downgraded roles. Meanwhile, Boomers are frequently lowballed, while Gen Z sees better offers.

What this means for staffing agencies:
Candidate trust is fragile. Agencies can restore it by advocating for transparency in job postings and compensation.

Consider:

Insisting on accurate, detailed job descriptions from clients — no vague titles or unrealistic promises.Helping candidates understand market-based salary expectations to reduce mismatches.

Read the full article here:

‍

Job seekers are navigating a minefield of ghosting, misleading job postings, and rising AI-driven pressure



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleTesla Robotaxi wins over firm that said it was ‘likely to disappoint’
Next Article Georgia Tech graduate students develop AI-powered tool to help people with disabilities find jobs – WSB-TV Channel 2
Advanced AI Editor
  • Website

Related Posts

Talent Acquisition’s Playbook | Recruiting News Network

July 22, 2025

Boost Recruitment Conversion Rates | Recruiting News Network

July 22, 2025

Layoffs Affect the Labor Market

July 21, 2025

Comments are closed.

Latest Posts

Archaeologists Identify 5,500-Year-Old Megalithic Tombs in Poland

Phillips to Debut ‘First-of-its Kind’ Priority Bidding Structure

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

Removed Romanesque Murals Must Be Returned to Sijena Monastery

Latest Posts

3 No-Brainer Artificial Intelligence (AI) Stocks to Buy Right Now

July 23, 2025

Paper page – Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning

July 23, 2025

Jensen Huang, NVIDIA, on AI factories, DeepSeek, and robots

July 23, 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

  • 3 No-Brainer Artificial Intelligence (AI) Stocks to Buy Right Now
  • Paper page – Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
  • Jensen Huang, NVIDIA, on AI factories, DeepSeek, and robots
  • Alibaba Unveils Cutting-Edge AI Coding Model Qwen3-Coder
  • Google Empowers Gemini Users With Imagen 4 That Produces Precise Words On AI-Generated Comics And Memes

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.