ICP Intelligence February 2026: Professor/Academic

Role in Academic & Research

What are the key technology and data trends shaping the Professor/Academic persona? The Professor/Academic persona is rapidly embracing technology and data, with Technology experiencing a significant factor shift of +0.89 and Data increasing by +0.36 in the last six months. This surge is reflected in their top priorities, which now include extracting information and insights from data, and defining how AI will serve people in their organizations. Simultaneously, there's a notable decline in focus on Narrative (-0.15), Operations (-0.26), and Risk (-0.27). This shift suggests a pivot towards leveraging digital tools, despite the acknowledged pain point that 'the noise surrounding AI makes it hard to get grounded,' and new concerns about AI's potential to 'affect performance, retention, creativity, innovation, and increase isolation.' This population segments into four distinct behavioral clusters, with the largest being 'High-Technology / High-Growth' at 41.7%, underscoring a clear drive towards digitally-driven growth and innovation within this group.

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

Unlock Full Analysis

Get the complete intelligence package with Pro:

  • Archetype Deep-Dive (factor comparison radar, per-cluster profiles)
  • Sentiment & Change Clouds (word frequency with shift detection)
  • Variance Analysis (factor score distribution with standard deviations)
  • Trend Detection (rising, fading, and new signals across all categories)
  • Buyer Journey (buying signals, selling approach, evaluation criteria)
  • Red Flags (deal-breakers and walk-away criteria)
  • Leadership Style (management philosophy and decision patterns)
Unlock Full Analysis