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The U.S. Department of Labor (“DOL”), collaborating with the Partnership on Employment & Accessible Technology (“PEAT”), announced the publication of the “AI & Inclusive Hiring Framework,”.
"Impressed by your... work, profile,..." 👀
You or LinkedIn AI?
"I found your profile impressive."
I get 5-7 of these every day.
It's not because my profile is that impressive (though my mom thinks so). 🙂
It's because 97% of these messages are AI-generated preludes to:
→ "I saw you're hiring"
→ "I'm looking for a job"
→ "I'd love to schedule a quick 15-minute chat" (aka a 45-minute sales pitch)
→ "Let me tell you about my revolutionary startup..."
What if LinkedIn evolved beyond the "impressed by your profile" era?
Instead of generic templates that scream "I'm using AI but pretending I'm not," what if they offered purpose-based message generators for job seekers?
Imagine getting messages like:
🟢 "Hi, I'm actively job hunting and your company looks amazing because..."
🟢 "I'm exploring new opportunities and your industry expertise caught my eye..."
🟢 I'm genuinely interested in your work o because..."
🟢 "Your recent post about [actual topic] resonated with me. I'm transitioning into this field and would appreciate any insights..."
The formula is simple: Authenticity → Trust → Real Connections
(Wild concept: being honest about what we want might actually work better!)
I'll start: "Hi, I'm someone who believes we're wasting massive networking potential by hiding behind AI-generated pleasantries. Let's change that!"
Yes, use AI to HELP craft your message - just don't let it BECOME your message!
SHOULD YOUR RECRUITERS BE WORRIED ABOUT AI?
Just this week, I spoke with a recruitment leader who admitted their team was asking the big question: ‘Is AI going to replace us?’ But here’s the thing: the future of recruiting isn’t about AI replacing us; it’s about AI helping us work smarter, not harder. This leader made a great point—AI can actually make our roles more meaningful IF we adopt it in the right way.
Here are a few ways to approach AI so that it works for us, not against us:
CONTROL
Choose tools like GoodTime that empower you to control the AI. The best tech doesn’t take over; it supports you by handling repetitive tasks like scheduling and follow-ups, freeing you to focus on what only humans can do—building relationships and strategizing.
ACTIONABLE INSIGHTS
Look for AI that delivers actionable insights, not just data. The right tools will help you identify patterns, bottlenecks, and candidate needs without drowning you in data. This way, you can make quicker, more informed decisions.
COLLABORATION MINDSET
Adopt an AI mindset that’s about collaboration, not competition. This leader reminded me that AI should be a partner in our work. It’s here to streamline and simplify, not replace the recruiter’s intuition and judgment. If we approach AI with the mindset of using it as a support system, we’ll see that it’s not something to fear - its here to give us more time to do what we’re best at—engaging with other human beings!
What do you think? Are you ready to bring AI on board as part of your team?
In this engaging conversation with Andy Headworth, I was struck by how the public sector is not just catching up but actually setting the pace for AI adoption in recruitment. Andy's experiences at HMRC demonstrate how organizations can harness technology to enhance efficiency and candidate experience. His practical approach to integrating AI—from sourcing to onboarding—highlights the potential for transformative change in hiring practices. If you're navigating the complexities of AI in recruitment, Andy's insights will offer valuable guidance and inspiration.
Artificial intelligence (AI) is rapidly changing the way businesses operate, and talent acquisition is no exception. AI-powered tools are now available to help recruiters source candidates more efficiently and effectively.
One of the most powerful ways to use AI in talent sourcing is to leverage URL data. URL data can provide valuable insights into a candidate's skills, experience, and interests. For example, an AI-powered tool can analyze a candidate's LinkedIn profile to identify their skills and experience. The tool can also scan the candidate's social media profiles to learn about their interests and hobbies.
By leveraging URL data, AI-powered tools can help recruiters to quickly and easily identify qualified candidates. This can save recruiters a significant amount of time and effort, and it can help them to find the best candidates for the job.
Here are some examples of how AI tools can be used to leverage URL data in talent sourcing:
Think of AI as a recruiting assistant in the sourcing process while humans make the final decisions. In turn, AI can serve as a recruiting "superpower" that boosts productivity and results.
AI has progressed significantly in recent years, creating the potential for a great deal of exciting and innovative applications in recruitment.
About half of Americans say AI would do a better job than humans at treating all job applicants in the same way
During screener interviews where people usually fall into three buckets: yes, no and maybe, Orsuga says AI can be helpful in eliminating the candidates who are clearly unqualified.
“You hear people on social media saying, ‘Oh, I applied to 150 jobs.’ And so you feel pressure that if you’re not applying to tons of jobs, you’re falling behind.”
As AI is increasingly used to source, screen, and manage employees, technical experts must develop systematic frameworks to evaluate a range of impacts on individuals, groups, and society.
A global survey by Remote has revealed that 75% of employers have received job applications written by artificial intelligence that contain false information.
AI provides the tools to enable managers to make the tough decisions over the firing of workers. While many of the use cases are helpful and positive, there are concerns over biases, fairness and transparency.
The future of HR technology lies in intelligent AI agents that can compress complex workflows, create more intuitive interactions, and ultimately empower employees and HR leaders with seamless, data-driven support that feels natural and transformative.
Background checks are getting easier and faster to carry out, even as a continuous process. Is that a good thing? Checkr CEO & co-founder Daniel Yanisse on constructive, responsible screening and the case for second-chance employment.
Real-World Benefits of RAG in LLMs for SaaS & Product Teams
Real-World Benefits of RAG in LLMs for SaaS & Product Teams
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Generate job descriptions and interview questions to speed up your hiring process with this AI tool
Simply copy and paste the job ad text and ResumeKit will create a resume appropriate for ATS.
Save hours each month by letting the power of AI format your CVs for you before you send them to your clients.
Tool compares resumes to job descriptions and generates a score to show how well candidates match
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