Technology

Chief Technology Officer

Based on 41 assessments · 3 from real users

21% Low risk

Average realistic automation risk across all Chief Technology Officer profiles in the dataset.

Raw potential
59%
Realistic risk
21%
Research benchmark ?
38%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 41 profiles. Middle half of Chief Technology Officers score between 18% and 24%.

0% 50% 100%
p10 · 17%
25% · p90
On-screen work 47%

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

In-person + screen 10%

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

Computer + action 35%

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

Fully in-person 8%

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

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

Task Time Type Exposure
Strategic technology planning and roadmap development (defining multi-year tech direction, evaluating emerging technologies, aligning tech strategy with business goals)
deep expertise
31% DD 16%
Budget planning, vendor management, and procurement decisions (negotiating contracts, managing tech spend, evaluating SaaS/infrastructure costs)
20% DD 38%
Leading and managing engineering teams (hiring, performance reviews, mentoring senior engineers, resolving team conflicts, setting technical standards)
deep expertise social element
19% DA 7%
Technical architecture decisions and code review oversight (reviewing critical system designs, making trade-off decisions, ensuring code quality standards)
deep expertise social element
15% DD 22%
Communicating with executive leadership and board (presenting tech updates to C-suite/board, translating technical risks into business language, justifying tech investments)
some context needed
8% DA 9%
Cross-functional stakeholder meetings (product, operations, finance teams - coordinating dependencies, resolving disputes, aligning priorities)
deep expertise
3% AA 0%
Security, compliance, and risk management (managing security incidents, managing regulatory compliance, conducting risk assessments, working with legal/audit)
1% AD 19%

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