"AI in Recruitment: Insights from micro1 and Stanford"

🚀 How You Can Find Top Talent in Minutes (Not Weeks) Using AI Struggling to map out key players and top talent in a complex industry like pharmaceuticals? I was, until I tasked an AI agent with the job. Traditional headhunting is slow. Manus AI automated the entire process: ✅ Deep-Dive Research: It autonomously scoured professional networks and data sources. ✅ Executive Mapping: Identified and profiled top C-suite leaders from Myriad Genetics to 10X Genomics. ✅ Research Powerhouses: Found leading scientists like Samir Mitragotri, their awards, and precise research focus. ✅ Consultant Shortlist: Compiled a list of influential advisors from Accenture, McKinsey, and Deloitte. ✅ Market Intel: Included a breakdown of top companies by revenue and market cap (Eli Lilly, Novo Nordisk, etc.). The result? A comprehensive 10-page report on the best people to work with in pharma—delivered in minutes, not days. This isn't a search tool. It's an intelligence partner. It handles the grueling research so you can focus on strategic outreach and building relationships. 👉 See the full AI-generated report here: https://lnkd.in/dtTS8TBr Ready to transform your talent acquisition and market research? Try Manus AI for free using my referral link: Click: https://lnkd.in/d3Ami8eK Question for my network: What's the most time-consuming part of your recruitment or market research process? #AI #Recruitment #Pharma #TalentAcquisition #ExecutiveSearch #HRTech #Innovation #ManusAI #FutureOfWork #LinkedInTips

📋 New hiring research just dropped, and it’s full of lessons beyond just AI. A recent study from The University of Chicago Booth School of Business and Erasmus University Rotterdam looked at 67,000 job seekers and compared outcomes between those interviewed by an AI voice agent, a human recruiter, or given the choice. The headlines?   ✅ AI-led interviews led to more job offers and higher retention   ✅ Nearly 80% of candidates given the choice opted for the AI agent   ✅ The majority rated the experience positively But what really stood out was this: even with automation in the mix, recruiters spent twice as long reviewing results. It’s a reminder that not every efficiency is immediate, and transformation often takes more coordination than we think. What this study really highlights is the importance of smart process design. Whether you're introducing new tech, testing a new workflow, or simply evolving how your team works, it’s not about novelty, it’s about outcomes. Let’s keep asking: are we solving the right problems, in the right way? 

Analytical vs. Emotional.🐝 AI has already surpassed humans in analysis. CereHive, Inc. can read, qualify, and surface resumes before you even click on them. But emotionally, hiring will always be human. That’s why we focus on helping teams spend less time screening and more time connecting with people. As 2026 approaches, it will be hard for teams to ignore AI in talent acquisition. Let’s talk!🐝

Recruiting in 2025 isn’t about choosing AI or humans—it’s about mastering the blend. Here’s the winning formula: ⚡ AI = speed + data → sourcing at scale, CV parsing, skills mapping. ❤️ Recruiter = intuition + empathy → trust, motivation, cultural fit. The danger? Lean too far on AI, and you become a system operator. Lean too far on “gut feeling,” and you risk bias + inefficiency. The sweet spot is Human x Machine Collaboration. That’s where the best recruiters will dominate. 🚀 Future recruiters will be: 1. AI-augmented, not AI-replaced 2. Data-driven, but human-centered 3. Tech-savvy, but empathy-first 👉 What’s one recruiter skill you believe AI will never replace? Drop it below. Follow #BushraKhanam for insights on the future of hiring, HR, and leadership. #AIRecruiting #FutureOfWork #TalentAcquisition #Tech #HRInnovation #Leadership

Workforce as a Living Neural Network We often think of the workforce as a list of employees, consultants, and job titles. Static. Transactional. But what if we looked at it differently? At Quantum Technologies, we see every placement as more than filling a role. It’s like adding a neuron to a growing network. Each consultant brings knowledge. Each client environment adds context. Each interaction sparks a new connection. When these connections grow, something powerful happens: ⚡ Ideas flow faster. ⚡ Problems are solved creatively. ⚡ Innovation feels organic, not forced. Just like a neural network learns by strengthening its pathways, the workforce evolves by deepening its relationships and knowledge exchanges. This is why staffing is not just about supply and demand — it’s about building a living, learning system where every placement fuels the network. The future of work isn’t static. It’s dynamic, connected, and alive. #FutureOfWork #NeuralNetwork #Workforce #Connectivity #Innovation #AIandHuman #QuantumTechnologies #SkillsAdvancement #TalentTransformation #StaffingSolutions #leadership

Tuesday Thoughts: The Human Touch in an AI-Driven World 🤖➡️👥 As AI transforms our industry, I'm reminded daily that recruitment isn't just about matching keywords—it's about understanding dreams, aspirations, and career journeys. ✨ While AI helps me source faster and screen more efficiently 🔍⚡, the magic still happens in those genuine conversations where I learn what truly motivates a candidate. That moment when someone lights up talking about their passion for patient care? 💡❤️ That's irreplaceable. The sweet spot: Using AI as my research assistant 🤝 while keeping human connection at the heart of every placement. 💪 To my fellow recruiters: How are you balancing technology with the human element in your practice? 🤔💭 #TuesdayThoughts #HealthcareRecruitment #AIinRecruitment #HumanConnection #TalentAcquisition #RecruitmentLife #CareerGrowth #HealthcareCareers #ProfessionalDevelopment #RecruitingWithPurpose

Will recruiters be replaced by AI? There's a new study that, I think, sheds some positive light. I'm not a podcast listener, but my long-time employee Andrew Rothman, is. He was telling me about a recent episode of Planet Money where they interviewed MIT Sloan researcher Isabella Loaiza. She and her research partner Roberto Rigobon introduced "the EPOCH framework," which identifies the human capabilities that AI struggles with: E - Empathy & Emotional Intelligence P - Presence & Networking O - Opinion & Judgment C - Creativity H - Hope & Vision These five things are like a job description for recruiters. Understanding what really motivates a candidate, reading between the lines with a hiring manager, meetings and conferences that build real relationships, knowing when a "perfect on paper" candidate isn't the right cultural fit, finding talent in unexpected places or crafting the perfect presentation, inspiring someone to take that career leap or helping a client see the bigger picture. The study shows that jobs heavy on these skills are likely to remain steady. AI may take on more grunt work like basic screening and data entry, but the recruiter's ability to build relationships, make judgment calls, and connect the dots between people and opportunities will retain value even as other things get automated. #recruiting #ai #recruitmentautomation #recruiter #epoch #mitresearch

Are you familiar with EPOCH? This is a great way to think about AI's limitations and how to improve your own skill set. Relationships and people-connecting skills have never been more important.

✨ Proud to Share Our IEEE Publication! ✨ 📢 Thrilled to announce that our paper titled "𝐑𝐞𝐬𝐮𝐦𝐞 𝐒𝐜𝐫𝐞𝐞𝐧𝐢𝐧𝐠 𝐔𝐬𝐢𝐧𝐠 𝐄𝐧𝐬𝐞𝐦𝐛𝐥𝐞 𝐌𝐨𝐝𝐞𝐥𝐬" has been successfully published in IEEE and presented at the International Conference on Computing Technologies (ICOCT) 2025, Bengaluru 🎉. 💡 The paper addresses one of the most critical challenges in modern recruitment — manual resume screening that is often slow, inconsistent, and prone to bias. Our research demonstrates how machine learning and ensemble techniques can transform this process by ensuring greater accuracy, fairness, and efficiency in evaluating candidates. 🚀 One of the key contributions of our work is showing that an ensemble-driven framework can significantly outperform traditional approaches, reducing classification errors and improving candidate ranking. With our model achieving 98.13% accuracy, the study highlights how AI can play a pivotal role in building transparent, unbiased, and scalable hiring systems. ✨ Highlights & Impact: 🔹 Strengthens the case for AI-driven recruitment in reducing human bias. 🔹 Demonstrates how ensemble learning can improve trust and transparency in hiring. 🔹 Opens pathways for future research into scalable, fair, and real-world HR applications of AI. 🤝 I’m grateful to my co-authors Mr. Dontha Madhusudhan and Shaik Thaslim for their collaboration and support throughout this journey. Looking forward to exploring further research in the intersection of AI, recruitment automation, and fairness in decision-making systems. #ICOCT2025 #IEEE #Research #MachineLearning #AI #ResumeScreening #EnsembleModels #FairHiring

If AI reduces the need for junior workers… who will become the seniors of tomorrow? A new Harvard study shows companies are hiring fewer juniors, while senior roles remain largely unaffected. The research analyzed data from 62 million U.S. workers across 285,000 firms (2015–2025). The short-term efficiency is clear. But what about the long-term pipeline of talent?