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Navigation & Guidance in the Age of AI: 5 Trends to Watch

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Title: Navigation & Guidance in the Age of AI: 5 Trends to Watch
Language: English
Authors: Julia Freeland Fisher, Anna Arsenault, Clayton Christensen Institute for Disruptive Innovation
Source: Clayton Christensen Institute for Disruptive Innovation. 2025.
Availability: Clayton Christensen Institute for Disruptive Innovation. 425 Broadway Street, Redwood City, CA 94063. Tel: 650-887-0788; e-mail: info@christenseninstitute.org; Web site: http://www.christenseninstitute.org
Peer Reviewed: N
Page Count: 134
Publication Date: 2025
Sponsoring Agency: Bill and Melinda Gates Foundation
Document Type: Reports - Research
Descriptors: Artificial Intelligence, Career Counseling, Educational Counseling, Access to Information, Counselor Client Relationship, Social Capital, Computer Use, Psychological Patterns
Abstract: Many hope artificial intelligence (AI) can help scale more efficient and personalized approaches to guide students' college and career journeys. There is limited research on the short- and long-term impact that bot-driven advising has on students' social capital, or connections that can provide students with valuable resources like support, advice, and ultimately, job referrals. This study sought to understand how students will access support and information in the age of AI by interviewing leaders and advisors at over 30 tech companies and hybrid advising organizations spanning the education-to-career continuum. Through structured interviews, the authors gathered their insights on the market forces shaping navigation and guidance technologies, the ideal division of labor between humans and bots, and whether AI can and will be built to help or hinder students' access to human connections. The research revealed five key trends: (1) The lines between human- and bot-driven support are getting blurrier; (2) Both logistical and psychological factors are driving student-bot engagement; (3) Leaders are hopeful that with AI, advisors will take on more relational work as both coaches and connectors; (4) Today's navigation and guidance market does not treat relationships as a core outcome; and (5) Despite limited demand for building relationships, innovators are spearheading creative ways to scale human connections. Based on these findings, it is predicted that in the near term, bots will lend breakthrough efficiencies to the lowest tiers of the navigation and guidance market, providing more on-demand information and reminders, and are unlikely to displace already scarce human resources. However, they will not necessarily be built to promote more human connections unless schools and programs specifically prioritize connection alongside other outcomes. Long term, without explicit metrics and goals to offer higher tiers of support, deepen relationships, and expand students' networks, bots will be on a path to disrupting relationships rather than enabling them.
Abstractor: ERIC
Entry Date: 2026
Accession Number: ED678609
Database: ERIC
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  Data: Many hope artificial intelligence (AI) can help scale more efficient and personalized approaches to guide students' college and career journeys. There is limited research on the short- and long-term impact that bot-driven advising has on students' social capital, or connections that can provide students with valuable resources like support, advice, and ultimately, job referrals. This study sought to understand how students will access support and information in the age of AI by interviewing leaders and advisors at over 30 tech companies and hybrid advising organizations spanning the education-to-career continuum. Through structured interviews, the authors gathered their insights on the market forces shaping navigation and guidance technologies, the ideal division of labor between humans and bots, and whether AI can and will be built to help or hinder students' access to human connections. The research revealed five key trends: (1) The lines between human- and bot-driven support are getting blurrier; (2) Both logistical and psychological factors are driving student-bot engagement; (3) Leaders are hopeful that with AI, advisors will take on more relational work as both coaches and connectors; (4) Today's navigation and guidance market does not treat relationships as a core outcome; and (5) Despite limited demand for building relationships, innovators are spearheading creative ways to scale human connections. Based on these findings, it is predicted that in the near term, bots will lend breakthrough efficiencies to the lowest tiers of the navigation and guidance market, providing more on-demand information and reminders, and are unlikely to displace already scarce human resources. However, they will not necessarily be built to promote more human connections unless schools and programs specifically prioritize connection alongside other outcomes. Long term, without explicit metrics and goals to offer higher tiers of support, deepen relationships, and expand students' networks, bots will be on a path to disrupting relationships rather than enabling them.
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