[White Paper] AI Readiness Skills - A Common Minimum Framework for Upskilling Humans

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White Paper (Published: 30 April 2025)
AI Readiness Skills - A Common Minimum
Framework for Upskilling Humans
Abstract:
This paper proposes a framework of a skill-set called "AI Readiness Skills" that every human
needs to survive & succeed in the rapidly evolving AI world. The framework addresses four key
goals which are common to all humans: staying safe from AI-related threats, rebuilding careers
after AI replaces jobs, keeping current jobs as AI becomes more common, and qualifying for
new jobs in an AI economy. The framework is built as a three-level pyramid with Digital
Citizenship & Internet Maturity (DCIM) skills at the bottom, the Four C's (Critical Thinking,
Creativity,Collaboration, and Communication) in the middle, and AI Tools skills at the top. We
provide evidence showing why this approach helps develop human abilities that remain valuable
alongside advancing AI technologies.
Table of Contents:
1. Introduction: AI Will Dominate Industries and Humans Must Adapt Fast. 2
2. The Objectives Achieved Through AI Readiness Skills 2
3. The AI Readiness Skills Framework: The Minimum Set of Skills Needed for
Humans to Have a career in the Post-AI World
2
4. Understanding the Base Level of Pyramid in Detail: The Foundation of AI
Readiness - DCIM Skills
3
5. Understanding the Middle Level of Pyramid in Detail: The Core Competencies -
Four C's
6
6. Understanding the Top Level of Pyramid in Detail: Effective Use of AI Tools for
Productivity
8
7. Mapping AI Readiness Skills to the Four Objectives 10
8. Conclusion: AI Readiness Skills are critical for Every Human 11

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1. Introduction: AI Will Dominate Industries and Humans
Must Adapt Fast.
AI is transforming society and the workforce. From automating complex industrial processes to
the growth of personal digital assistants, AI's influence is becoming widespread.¹ The rise of
generative AI has gained global attention, with many seeing it as a transformative industrial
revolution.¹³ This major technology shift requires people to adapt to navigate the changing
landscape. To ensure personal safety, maintain career strength, and support professional growth
in this new era, people need new skills and abilities.
In response, this paper proposes a structuredskill-set called “AI Readiness Skills”.This skill-set
is the minimum a human would need to effectively engage with an AI-driven world, reducing
potential threats and taking advantage of new opportunities. In other words, this skill-set defines
the bottomline of skills needed by humans, not the topline. Therefore it excludes all domain
specific skills. The skill-set is organized as a three-level pyramid, with foundational Digital
Citizenship & Internet Maturity (DCIM) Skills at the bottom, essential 21st-century
competencies known as the Four C's (Critical Thinking, Creativity, Collaboration, and
Communication) in the middle, and skills for effective use of AI Tools at the top.
2. The Objectives Achieved Through AI Readiness Skills
The paper argues that the proposed “AI Readiness Skills” are critical for every human to achieve
four key objectives:
1. Stay safe from online safety threats, worsened due to malicious use of generative AI.
2. Restart a career after losing a job due to AI.
3. Avoid losing an existing job amidst lay-offs driven by AI-adoption by companies.
4. Be eligible for new types of jobs that emerge in the post-AI world.
3. The AI Readiness Skills Framework: The Minimum Set of
Skills Needed for Humans to Have a career in the Post-AI
World
The "AI Readiness Skills" framework is structured as a three-level pyramid, as shown below,
visually representing the connected nature of the required skills.

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The base level of the pyramid is formed by DCIM Skills (Digital Citizenship & Internet
Maturity).These skills provide the essential foundation for safe and effective engagement in the
digital world and are crucial for adaptability as technology changes.
The middle level includes the Four C's (Critical Thinking, Creativity, Collaboration, and
Communication). These widely accepted skills are vital for success in the 21st century and are
particularly important for people to effectively use AI and remain relevant in the changing job
market.
The top level of the pyramid focuses on AI Tools, representingthe practical skills needed to use
artificial intelligence to improve productivityand achieve specific goals. Each level builds on the
one below, creating a robust and adaptable skill-set for navigating the age of AI.
4. Understanding the Base Level of Pyramid in Detail: The
Foundation of AI Readiness - DCIM Skills
Digital Citizenship & Internet Maturity (DCIM) skills form the foundation of AI readiness.
These skills help people navigate the digital world safely and effectively.¹⁴ As AI becomes

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increasingly embedded in online interactions, strong DCIM skills are essential. This skill-set
provides the groundwork for higher-level AI readiness skills.
DCIM skills are a collection of ten digital skills which combine to give three major digital
competencies - Online Safety, Online Learning, and Online Reputation.
4.1 Online Safety Skill:
AI makes online safety more complex. Generative AI enables sophisticated threats like
convincing phishing attacks, realistic deepfakes, misinformation, and deceptive content.¹³
Cybercriminals can mimic trusted voices and images, making social engineering attacks more
persuasive.²¹AI can generate malicious code and bypass securitymeasures,creating new dangers
to personal digital security.²² AI-powered phishing attacks target specific individuals, making
detection difficult.¹⁹ Malicious actors can use adversarial prompts to generate harmful content
through AI platforms.¹³
The online safety best-practices are well known, including being careful when sharing personal
information online, particularly with AI chatbots,²¹ using multi-factor authentication, creating
strong passwords, and keeping software updated,²¹ staying alert to phishing attempts and
understanding AI security risks,¹⁹ maintaining healthy skepticism towards online content, and
verifying information through reliable sources,¹⁵ etc.
However, the big challenge with humans is that the online safety skills cannot be developed just
by reading a list of Do’s and Don’ts. They require structured learning about threats and serious
practice to avoid them.

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4.2 Online Learning Skill:
AI is changing job requirements across industries and creating new roles, requiring ongoing skill
updates to remainrelevant.⁷In the AI landscape,continuous learning is necessary. In the post-AI
world, the curricula of schools and colleges,and the books based on them, might never be able to
stay updated with the new knowledge and perpetually remain out-dated. The only place anyone
can learn relevant knowledge & skills would be the Internet. Professionals must commit to
lifelong learning and develop high adaptability.⁸ The rapid pace of AI development is enforcing
everyone to become an expert self-learner.
Online learning skills include identifying trustworthy information, recognizing credible sources
and avoiding misinformation.¹⁴ Digital & media literacy are a subset of online learning skills
which enable critical evaluation of online information, assessing underlying biases and
understanding content purpose.¹⁶ Developing skepticism towards online claims and using fact-
checking resources are crucial for navigating the complex information landscape.¹⁷
AI is transforming education by offering personalized learning opportunities. Using resources
like Open Courseware, MOOCs, and AI-powered learning platforms effectively helps acquire
new skills.²⁵ These platforms often tailor learning experiences to individual needs.²⁵ Many offer
specialized courses in AI-related skills.⁸ AI-powered platforms can identify skills gaps and
recommend specific learning paths.²⁵ Developing strategies to manage information overload,
filter relevant content, and minimize distractions is essential for successful continuous learning.
4.3 Online Reputation Skill:
As the value of a college degree goes to zero in the AI-driven job market, a positive online
reputation becomes a significant asset. It represents professional standing and influences
perception by potential employers and partners.⁴⁰ A strong online reputation builds trust and
credibility, making people more attractive to potential employers or clients.⁴¹ A negative online
footprint creates career challenges.
Building a professional online presence requires strategic effort.⁴³ This includes optimizing
social media profiles, especially including Linkedin.⁴⁶ Sharing thought leadership content,
engaging professionally in discussions, and contributing to online communities are crucial.⁴⁶
Maintaining consistency across platforms helps create a cohesive digital image.⁴⁹ Regularly
monitoring online presence helps identify and address negative information.⁴⁶ Creating a
personal website or portfolio can effectively showcase skills and achievements.⁴⁶
A strong online reputation increases visibility and networking opportunities.⁴¹ By showcasing
expertise online, individuals can position themselves as leaders fit to work in an AI-dominated
workforce.⁴⁶ Employers frequently use online presence to assess candidates.⁴⁶ A well-managed

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online reputationis most likely the only way to attract career and business opportunities in the AI
age. The qualityof the online reputationof a person depends upon the quality of the DCIM skills
no.1 to no.9 as listed in the graphic shown under section 4 above.
4.4 The "Career Insurance" Skills: Combination of Online Learning &
Online Reputation Skills
Online learning and reputationmanagement skills together serve as "career insurance" in the AI
era. If someone loses their job due to automation, strong online learning skills enable quick
acquisition of in-demand skills.⁸ Well-developed reputation management skills help showcase
these new skills to attract opportunities.⁴⁰ This combination acts as a safety net, allowing for
quick career transitions when facing AI-driven job market changes.⁹ The ability to continuously
learn and effectively communicate those skills forms a robust mechanism for career resilience.
5. Understanding the Middle Level of Pyramid in Detail:
The Core Competencies - Four C's
This paper advocates a simple rule of thumb to analyze how safe a job is from being taken over
by AI. It’s as follows:
If a job requires regular application of all of the four C’s, it will most likely remain AI-safe.
Conversely, if any job can be performed without frequent application of all of the four C’s,
it will most likely be done by AI.
Therefore, on top of the foundational DCIM skills, the middle level of the AI readiness skills
pyramid comprises the Four C's: Critical Thinking, Creativity, Collaboration, and
Communication. These competencies are essential for success in the 21st century and
particularly important in an AI-driven world. Mastering these skills helps people become
effective orchestrators rather than mere users of AI tools.
5.1 Critical Thinking:
Critical thinking is the ability to analyze information objectively, question assumptions, and
evaluate evidence to form sound judgments.¹⁶ In an age where AI generates vast information
quickly, critical thinking is essential for evaluating accuracy, reliability, and biases of AI-
generated content.²⁹ Research suggests over-reliance on AI might inhibit critical thinking skills³⁰,
making it crucial to actively cultivate this competency.

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Evaluating AI outputs effectivelyinvolves questioning data sources, comparing AI insights with
human expertise, and identifying patterns or anomalies.²⁹ Understanding AI's limitations is
essential,as it operates by identifying patterns in data and can inherit biases.²⁹ Human judgment
remains indispensable. AI should assist, not replace, human decision-making, especially in
situations requiring contextual understanding and ethical considerations.²⁹ Humans provide the
crucial ethical reasoning and contextual awareness that AI often lacks.³¹
5.2 Creativity:
In the AI context, creativitymainlyincludes creative thinking, innovative thinking and problem-
solving.⁵¹ While AI can generate content, human creativity remains important for providing
vision, imagining solutions, and contextual understanding.⁵¹ AI can assist a creative thinker or
catalyze the process of creativity, helping overcome creative blocks and opening new avenues
for exploration.⁵¹
The synergy between human creativity and AI tools offers tremendous innovation potential.² AI
enhances human creative capabilities by providing fresh perspectives, speeding up idea
generation,and handling technical details.² This collaborationcan lead to previously unattainable
innovation levels.⁵⁴ By automating routine tasks, AI frees and forces human creators to focus on
higher-level conceptual aspects.⁵⁴
5.3 Communication:
In AI-integratedenvironments,effective communication takes on greater importance.¹ It bridges
humans and AI systems,enabling individuals to convey intentions and objectives to AI models.¹
AI-driven communication tools are transforming how we interact with technology and each
other.² In workplaces, clear communicationfosters problem-solving,reduces misunderstandings,
and enhances team productivity.⁶⁰ The ability to communicate clearly is critical as humans
increasingly interact with AI systems and AI-augmented teams.
This includes communicatingeffectively with AI tools through precise prompts and with human
colleagues in AI-augmented teams.⁶¹ Effective prompting, using natural language with clear
instructions and examples, is key to eliciting desired outputs from AI.⁶⁴ In AI-augmented teams,
communication requires understanding AI capabilities and limitations, coupled with strong
interpersonal skills.¹² AI can assist human-to-human communication by clarifying intent,
summarizing information, and providing real-time translation.⁶¹
5.4 Collaboration:
In AI-driven workplaces, effective teamwork is paramount.¹² Collaboration is a fundamental
human strength that current AI cannot fully replicate.⁵⁰ Effective collaboration increases

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productivity, improves problem-solving, and creates a cohesive workforce.⁶⁰ While AI can
perform many tasks autonomously, complex challenges require collaboration between many
people and even AI agents.
Successful collaboration involves harnessing complementary strengths.⁵⁶ AI contributes by
analyzing data, identifying patterns, and automating processes, while humans provide intuition,
critical thinking, and emotional intelligence.⁵⁴ Building strong working relationships remains
crucial.While AI facilitates communication,maintaininggenuine connections requires empathy,
emotional intelligence, and rapport-building.⁴³ Transparency and authenticity in all interactions
foster a collaborative environment.⁴³
5.5 Mastering the Four C's: Becoming the "Boss" of AI:
People who master the Four C's are positioned to become the "boss" of AI, using it as an
assistant rather than being replaced by it. Critical thinking helps evaluate AI-generated
information and direct AI toward meaningful outcomes. Creativity identifies novel applications
for AI tools and guides them toward complex challenges.Effective communication ensures clear
instructions through well-crafted prompts and seamless collaboration with colleagues. Strong
collaboration facilitates productive partnerships between humans, organizations and AI. By
integrating these 4C skills, a human can play the role of the leader, dreamer, decision maker,
planner, entrepreneur, risk-taker, pioneer, problem solver, troubleshooter, solution designer, or
simply, the “boss”.
6. Understanding the Top Level of Pyramid in Detail:
Effective Use of AI Tools for Productivity
At the top of the AI Readiness Skills pyramid lies the practical ability to use AI tools for
enhanced productivity. AI tools are becoming increasingly accessible for tasks from content
creation to data analysis and administrative automation. Proficiency with these tools can
significantly boost productivity. In today's job market, AI tool familiarity is rapidly becoming a
requirement for many roles.⁸ This skill is transitioning from specialized to fundamental for the
modern workplace.
Tool accessibilityalone doesn't guarantee productivity. Real competency requires specific skills
beyond basic literacy.Using AI effectivelyrequires a mindset shift—from simply having access
to mastering skills that unlock its potential.

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6.1 Output Clarity – The Prerequisite for Effective AI Interaction
Success with AI begins with "output clarity"—knowingexactly what you want before prompting
the tool. Vague prompts yield generic results; ambiguity leads to inaccuracy. Output clarity
involves tailoringprompts to tasks—defining tone, audience, or coding language—so AI's effort
aligns with your goal.
6.2 Choosing the Right AI Tool
The AI landscape includes tools for summarization, task automation, and generative tasks.
Selecting the right tool based on task type, speed, cost, or output quality is essential. Like a
craftsman selecting tools, users must understand each AI option's strengths to optimize results.
6.3 The Art and Science of Prompting
Effective prompting blends articulation with output clarity. Prompts should include context,
format, tone, and examples. Techniques like chain-of-thought prompting, defining AI personas,
or limiting output scope refine responses. Iterating prompts enhances collaboration and unlocks
AI's potential.
6.4 Creating Workflows and SOPs
Complex tasks often require multi-step workflows involving multiple AI tools or human input.
SOPs and visual workflows ensure consistency, highlight bottlenecks, and improve efficiency.
For instance, content creation may involve separate tools for research, drafting, editing, and
SEO.
6.5 Designing Chains of AI Tools and Agents
Advanced users create chains of AI tools working together. Based on SOPs, each tool performs a
specific step. For example, a market research agent may gather data, analyze sentiment, and
compile reports using different tools. This strategic linking creates automated systems that
handle complex tasks effectively.
These five interlinkedskills—clarity,tool selection, prompting, workflows, and toolchains—are
essential for AI readiness. As AI evolves, continuous learning will be key to staying productive
in an AI-driven world.

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7. Mapping AI Readiness Skills to the Four Objectives
The "AI Readiness Skills" framework is designed to address four key objectives for navigating
the AI age. Here's how each level contributes to achieving these goals.
7.1 How AI Readiness skills help achieve the first objective:
Stay safe from the personal safety threats arising due to the inherent problems or the malicious
use of generative AI.
This objective is addressed through Online Safety Skills within the DCIM Skills level. These
skills equip people with knowledge of digital threats amplified by AI.¹³ Understanding how AI
creates sophisticated phishing, deepfakes, and malicious content helps people recognize and
avoid these threats. These skills include adopting securitymeasures like strong passwords, multi-
factor authentication,and information sharing caution, essential for mitigating AI-related safety
risks.
7.2 How AI Readiness skills help achieve the second objective:
Restart one's career after a job loss caused due to AI.
Career restart capability comes through Online Learning and Online Reputation Management
skills within the DCIM Skills level. Online learning skills enable self-directed acquisition of in-
demand skills relevant to the evolving job market.¹¹ Online reputation management skills help
build positive digital presence, showcasing new skills to potential employers.⁴⁰ This combination
acts as "career insurance,"enabling adaptation to job market shifts through learningand effective
self-presentation.
7.3 How AI Readiness skills help achieve the third objective:
Avoid losing one's existing job when companies increase their adoption of AI for automation.
Job retention is achieved through the Four C's and effective AI Tools use. Mastering Critical
Thinking, Creativity, Communication, and Collaboration enables performance of tasks less
susceptible to automation. These skills involve higher-order cognition, innovation, complex
interpersonal interactions, and nuanced understanding—areas where humans excel. Effective AI
tool use enhances productivity and allows employees to augment their roles.³ By leveraging AI
to improve efficiency and take on new responsibilities, individuals become more valuable to
organizations, reducing job loss risk.

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7.4 How AI Readiness skills help achieve the fourth objective:
Become eligible for the new kind of Jobs which arise in the post-AI world.
Eligibility for emerging jobs also comes through the Four C's and AI Tools skills. The Four C's
are essential for future workforce roles, particularly those involving working alongside AI
systems.⁷ These skills provide adaptability for evolving job requirements. Proficiency with AI
tools is increasingly a prerequisite for new jobs.⁷ Understanding how to choose appropriate AI
tools and effectively prompt them is crucial for success in the post-AI job market.
Objective Relevant Skill
Level(s)
Key Skills Within the Level(s)
1. Stay safe from personal
safety threats
Base Level: DCIM
Skills
Online Safety
2. Restart one's career after a
job loss caused due to AI
Base Level: DCIM
Skills
Online Learning, Online Reputation
Management
3. Avoid losing one's
existing job when companies
increase AI adoption
Middle Level: The
Four C's, Top Level:
AI Tools
Critical Thinking, Creativity,
Communication, Collaboration,
Choosing AI Tools, Effective Prompting
4. Become eligible for the
new kind of Jobs which arise
in the post-AI world
Middle Level: The
Four C's, Top Level:
AI Tools
Critical Thinking, Creativity,
Communication, Collaboration,
Choosing AI Tools, Effective Prompting
8. Conclusion: AI Readiness Skills are critical for Every
Human
The "AI Readiness Skills" framework—encompassing DCIM skills, the Four C's, and AI tool
proficiency—represents the minimum skill set required to thrive in the AI age. These skills are
essential for ensuring personal safety against AI-enhanced threats, enabling career restarts after
job displacement, preventing job loss from increasing AI adoption, and qualifying for emerging
job roles.

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AI's transformative impact will continue reshaping our personal and professional lives.
Individuals, organizations,and educational institutions must prioritize these AI Readiness Skills.
By developing these competencies,we can harness AI's potential while mitigatingrisks,ensuring
a future where humans and AI work together effectively.These skills are not domain-specific but
universally necessary for navigating the AI-shaped world.
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Authors
Mr. Raghu Pandey, Founder, iMature.in, raghu@imature.in
Ms. Saloni Rathore, COO, iMature.in, saloni@imature.in
Ms. Shubhi Dubey, Founder, Humans Winning AI, shubhi@imature.in
About iMature.in
iMature.in is India's pioneer in 'Digital Citizenship & Internet Maturity' education, with 12
years of thought leadership. Been through incubation at IIM Bangalore, ISB Hyderabad &
TISS Mumbai, the team is working to design the post-AGI education system.
About Humans Winning AI
Humans Winning AI is a growing community around AI readiness, and aspires to become the
world’s largest.
Official Website of ‘AI Readiness Skills Mission’
To access all the resources (toolkits etc) we are creating for schools and colleges on ‘AI
Readiness Skills’, please visit https://aireadinessskills.com

[White Paper] AI Readiness Skills - A Common Minimum Framework for Upskilling Humans

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