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
38%
Realistic risk
15%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context.

Distribution across 10 profiles. Middle half of Startups score between 12% and 16%.

0% 50% 100%
p10 · 10%
22% · p90
On-screen work 15%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 17%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 51%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 17%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Startup, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Fundraising and investor relations (pitching, due diligence, financial modeling, cap table management)
deep expertise
25% DA 2%
Strategic partnerships and business development (identifying partners, negotiating terms, relationship building)
some context needed
20% DA 14%
Sales and customer development (outreach, demos, closing deals, customer problem discovery)
deep expertise
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
1% DA 8%

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