ICP Intelligence February 2026: Academic & Research

People Segment

What are the most significant technological and data shifts impacting Academic & Research leaders? Academic & Research professionals are rapidly accelerating their focus on Technology and Data, with Technology seeing a substantial +0.89 factor shift and Data a +0.36 shift over the last six months. This surge in data and technology interest aligns with new priorities around 'teaching organizations to be successful with data and AI' and 'leveraging data and AI for good business results'. Concurrently, engagement with 'Narrative' (-0.15) and 'Operations' (-0.26) has declined. This population notably divides into four behavioral clusters, with nearly half (47.6%) falling into a 'High-Technology / High-Risk' group, suggesting a significant portion of this segment is embracing innovation despite potential challenges.

AI-generated summary · February 11, 2026

Behavioral Factor Profile

Narrative
4.04
▼ -0.10
Operations
3.65
▼ -0.26
Data
3.68
▲ +0.31
Technology
2.97
▲ +0.99
Risk
3.21
▼ -0.23
Growth
4.48
—
Stakeholder
4.54
▲ +0.16

Scale: 1 (conservative) to 5 (innovative) · Arrows show 6-month shift

Factor Radar

Top Power Words

importantimpactamazingpowerfuleffective+ 10 morePRO

Thematic Intelligence

Priorities

sample
extracting information and insights from data.
using insights to make decisions effectively.
understanding structure and patterns in data.
+ 12 more PRO

Pain Points

sample
the noise surrounding ai makes it hard to get grounded.
lack of understanding of common ai terminology.
human learning capacity decreases with age.
+ 12 more PRO

Success Metrics

sample
gdp for q1 (economic output)
conference board consumer outlook (consumer sentiment)
customer lifetime value (cltv)
+ 12 more PRO

Decision Frameworks

sample
identify will and opportunity: choose ai applications where there's clear desire and potential for value.
educate internal champions: empower internal teams on how to use ai, not just build it.
quick proof of value: focus on demonstrating tangible value quickly, not just theoretical concepts.
+ 12 more PRO

Red Flags

sample
bringing ai because 'it's cool' without clear value.
ai projects failing and setting back an organization.
not accounting for causal inference in data analysis.
+ 12 more PRO

Behavioral Archetypes

50.0%
26.0%
24.0%
High-Technology / High-Growth(50.0%)
Low-Risk / Low-Growth(26.0%)
Low-Technology / Low-Data(24.0%)

Cluster quality: weak · Full archetype profiles with factor comparison PRO

Roles in Academic & Research

Professor/Academic

Other People Segments

Sales & RevenueMarketing & GrowthIT & SecurityEngineering & ProductFinance & LegalOperations & HRCustomer Success & SupportExecutive LeadershipAdvisory & ConsultingMedia & Content

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