AI Resilience Report

A multidimensional diagnostic tool evaluating your preparedness and adaptability for AI-driven workplace transformations. Get evidence-based insights across six core dimensions to build career sustainability in the age of automation.

This report encourages professionals to anticipate AI-related changes, proactively develop skills, and navigate the evolving job market. It aims to deliver an evidence-based snapshot of AI adaptability, enabling users to build long-term career sustainability in the age of automation.

Download sample report
Create Your Report

Primary Objectives

Assess Individual AI Resilience

Measures how well the individual understands, anticipates, and adapts to AI impacts on their role, industry, and career trajectory

Identify Strengths and Vulnerabilities

Breaks resilience into interconnected dimensions, highlighting strengths (e.g., technical skills) and gaps (e.g., ethical awareness), backed by user responses.

Personalized Growth Strategies

Offers actionable insights with justifications, strengths, gaps, and recommendations to guide targeted learning, upskilling, and strategic planning

Career Foresight and Planning

Promotes proactive preparation for emerging AI-driven roles, collaboration models, and market shifts, fostering a balanced growth mindset.

Organizational & Educational Apps.

Goes beyond individuals to enable organizations, and educators to identify collective skill gaps, design reskilling programs, and measure progress over time.

The Six Dimensions of AI Resilience

This report evaluates six critical and interconnected dimensions that reflect key aspects of AI readiness. The scores are derived from the analysis of your specific characteristics in dimension-related assessments. 

Self-Assessment and Skills

Focuses on identifying personal strengths, gaps, and complementary skills; forms the foundation for Human-Centric Capabilities and AI Literacy. Assesses recognition of AI-resistant qualities and honest gap identification. Concentrates on disruption-resistant skills, progress-limiting gaps, complementary resilience skills, valuable AI-era soft skills, and unique human qualities like creativity or emotional insight.

Automation Risks and Tasks

Evaluates automatable elements and augmentation strategies; supports Adaptability, Learning Velocity, and Strategic Thinking/Innovation. Examines automatable tasks (e.g., data processing), risk estimates, routine vs. complex tasks, and AI augmentation over replacement. Focuses on vulnerable tasks, automation risks, augmentation strategies, role-specific impacts, and task redesign.

Industry and Market Insights

Assesses external context and trends; supports Professional Positioning and Market Awareness. Measures knowledge of AI trends, adoption rates, market dynamics, cross-industry comparisons, geographic differences, and functional impacts, contextualizing the individual's role in broader economic changes. Covers AI industry changes, functional impacts, comparative displacement rates, and trend monitoring.

Ethical and Regulatory Considerations

Addresses ethics, biases, and safety issues; directly informs Ethical and Regulatory Awareness. It evaluates ethical awareness (e.g., bias, fairness, privacy), safety risks (e.g., hallucinations, security), regulatory landscapes, and proactive mitigation strategies tailored to the user's field. This dimension includes ethical risks, bias mitigation, regulatory compliance, integration of ethics into workflows, and reliability concerns.

Adaptability and Learning

Emphasizes skill development, measurement, and balance; links to Adaptability, Learning Velocity, and AI Literacy. Captures learning agility, recent efforts (e.g., courses, certifications), growth mindset, progress tracking, timed plans, and technical/well-being balance. Encompasses recent learning, skill plans, progress measurement, work-life balance, and agile mindset evidence.

Future Opportunities and Vision

Examines opportunities, innovations, long-term sustainability; supports Strategic Thinking/Innovation and resilience. Assesses AI-created roles, human-AI collaboration, 5-10 year planning, balanced risk-opportunity view. Includes career path design, collaboration changes, new roles/opportunities, emerging metrics, employability strategies, AI impact on longevity/retirement.

Scoring System (0-10 scale)

Low (0-3)

High risk
(Low awareness)

Moderate (4-6)

Moderate Risk
(Open to development)

High (7-10)

Low Risk
(Strong foundation)

Get Your Report Now!