The 2026 Information Discovery & AI Adoption Study
How teams actually find information, make decisions, and take action with AI - beyond the hype.
The purpose
AI tools promise efficiency, but teams still lose hours finding and re-finding information across email, docs, and Slack.
This study explores:
• How knowledge-heavy teams actually use AI day-to-day
• What makes people trust or reject AI-driven answers
• How companies are turning discovery into action, safely and effectively
We’re interviewing 100+ operators, founders, and tech leads to uncover what really works.
Why join
Early access to anonymized benchmarks and highlights
Option to be quoted in the published report
Invitation to a private debrief session on findings
Early insights
About the researcher
Yogi Nishanth is the Founder of Swik AI, building AI-native systems that connect fragmented data across industries. Before turning to entrepreneurship, Yogi spent nearly a decade in financial services, working across risk, analytics, and strategy at JPMorgan Chase, Capital One, and Oportun, where he saw firsthand how scattered information slows decisions.
An IIT-trained engineer, Rice MBA, and Harvard graduate student, Yogi studies how teams actually find, trust, and act on information using AI.
Independent research project; not affiliated with Harvard University.
