Other
Startup
Based on 10 assessments · 1 from real users
15%
Low risk
Average realistic automation risk across all Startup profiles in the dataset.
Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context.
Score spread
Distribution across 10 profiles.
Middle half of Startups score between 12% and 16%.
0%
50%
100%
Task breakdown by work type
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer input, real-world output — needs someone to act on it, not just software.
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Startup, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
Fundraising and investor relations (pitching, due diligence, financial modeling, cap table management)
deep expertise
social core
25%
DA
2%
Strategic partnerships and business development (identifying partners, negotiating terms, relationship building)
some context needed
social core
20%
DA
14%
Sales and customer development (outreach, demos, closing deals, customer problem discovery)
deep expertise
social core
19%
DA
7%
Hiring, onboarding, and team management (recruiting, interviews, 1-on-1s, performance feedback)
deep expertise
social element
13%
AA
0%
Product strategy and roadmap planning (defining features, prioritizing work, user feedback synthesis)
deep expertise
social element
13%
AD
15%
Financial planning and operational management (budgeting, cash flow tracking, legal/compliance, vendor management)
5%
DD
52%
Public-facing activities (media interviews, conference speaking, brand messaging, content creation)
some context needed
social core
1%
DA
8%
Fundraising and investor relations (pitching, due diligence, financial modeling, cap table management)
deep expertise
social core
28%
DA
3%
Hiring, onboarding, and team management (recruiting, interviews, 1-on-1s, performance feedback)
deep expertise
social core
22%
AA
1%
Financial planning and operational management (budgeting, cash flow tracking, legal/compliance, vendor management)
13%
DD
56%
Strategic partnerships and business development (identifying partners, negotiating terms, relationship building)
deep expertise
social core
11%
DA
5%
Sales and customer development (outreach, demos, closing deals, customer problem discovery)
deep expertise
social core
11%
DA
8%
Product strategy and roadmap planning (defining features, prioritizing work, user feedback synthesis)
deep expertise
social element
11%
AD
23%
Public-facing activities (media interviews, conference speaking, brand messaging, content creation)
deep expertise
social core
0%
DA
6%
Financial planning and operational management (budgeting, cash flow tracking, legal/compliance, vendor management)
30%
DD
65%
Hiring, onboarding, and team management (recruiting, interviews, 1-on-1s, performance feedback)
deep expertise
social core
19%
AA
3%
Fundraising and investor relations (pitching, due diligence, financial modeling, cap table management)
deep expertise
social core
18%
DA
8%
Public-facing activities (media interviews, conference speaking, brand messaging, content creation)
some context needed
social core
18%
DA
7%
Product strategy and roadmap planning (defining features, prioritizing work, user feedback synthesis)
deep expertise
social element
6%
AD
18%
Strategic partnerships and business development (identifying partners, negotiating terms, relationship building)
deep expertise
social core
5%
DA
8%
Sales and customer development (outreach, demos, closing deals, customer problem discovery)
deep expertise
social core
2%
DA
1%
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