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AI is transforming expert networks—but the human element still defines success. Daniel Entrup, expert network veteran and strategist, reveals what technology can't replace and how to build trust-driven marketplaces that blend automation with relationship management.

From fraud prevention to AI coaching for analysts, this episode explores the invisible infrastructure behind professional knowledge sharing. Learn why early automation failed, how data gaps hold back AI adoption, and which use cases will reshape the industry in the next 5 years.

📍 KEY TOPICS & TIMESTAMPS
0:00 Introduction
3:26 Data management service purpose-built for knowledge networks
6:40 Why experts aren't always "expert experts" in traditional networks
10:11 How expert networks identify the right candidates for project requests
14:51 Why recruiting and executive search markets are ripe for AI disruption
20:18 AI applications beyond recruitment in expert networks
22:28 Voice AI conducting expert research at unprecedented scale
30:31 LinkedIn prediction: 40% of entry-level professional services jobs disappearing
36:22 Using AI to help analysts improve interviewing skills
44:04 Building a brand new expert network from scratch today

👤 GUEST
Daniel Entrup is an expert network leader and strategist with extensive experience building technology-driven knowledge marketplaces. He specializes in balancing automation with human-centered client service in two-sided professional networks.

Connect with Daniel on LinkedIn: https://www.linkedin.com/in/danielentrup/

#ExpertNetworks #AIinBusiness #FutureOfWork #ProfessionalServices #KnowledgeWork

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🌐 Website: https://curiositycodepodcast.com/
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