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What I'd do if reborn as Meta CEO?



The roadmap is simple (clickable shortcuts):












1. Research AI Industry & Fine-tune Data


I researched as much as possible from an outside POV with the help of multiple LLMs that scanned the web, Wikipedia, and 2 dozen hand-picked tech, business, and news sites from around the world for all their info/content about Mr. Zuckerberg, Meta, Facebook & Co.


Also for his IMHO biggest competitors and their executives to unveil strengths and weaknesses, their thinking, planning, predict their moves, etc.


This led to 89 pages of extremely condensed and high-quality data in 1 PDF.





2. Research emerging competition & Fine-tune Data


Same as before – but for Elon Musk’s new AI startup and team, which are currently still shrouded in mystery. That’s why I downloaded all their published papers, had AI analyze them, and distill the xAI team’s strengths, weaknesses, probable GTM strategies, etc.

This led to 36 pages of highly condensed and high-quality data in 1 PDF.





3. Benchmark with Studies about AI & Future


I organized some of the best global studies from a variety of different sources, e.g. the newly published 400-page long and € 1.500,- expensive McKinsey book REWIRED on how to win in AI as a company.


I transcribed keynote videos from some of the IMHO smartest people (aside from Mr. Zuckerberg, e.g. business leader Ray Dalio, geopolitical strategist Peter Zeihan, etc.





4. Prompt Engineer new Business Ideas with USP


Act as smart, visionary CEO, CCO, CSO, and CTO.


1. Analyse all PDFs.


2. Create 20 new AI product or service ideas for our company Meta. 3. Focus on ideas that are new and ideally not easy to copy by our competitors, e.g. Microsoft, xAI, x aka Twitter, IBM, Anthropic, Alphabet, Google, Deepmind, Stability AI, Hugging Face, and Element AI.


4. Utilise all of Meta’s companies’ assets, data, and possibilities to create synergies for Meta’s new AI products, services and offerings.


5. Sort your 20 new AI product and service ideas by most creative and format your output like this:


<<Idea Number>> <<Idea Name in max. 8 words>>

Concept: <<Explanation of idea without superfluous words in 1 paragraph>>

Reasoning: <<Reason why this idea makes sense in 1 sentence>>

Challenge(s): <<Challenges to overcome to execute in 1 sentence>>

Target(s): <<One or up to 3 Target Group(s) for this idea in 1 sentence>>

Pain-point(s): <<Pain-point(s) this idea solves for above-mentioned Target Groups>>

Market potential: <<Estimate market potentials in $ for 2025, 2030 and 2040>>




5. Pick the best out of 22 new AI Ideas


Here are 20 new AI product and service ideas for Meta, focusing on creative and differentiated concepts that leverage Meta's strengths – unedited output from Claude V2:



1. Immersive Stories

Concept: An AI system that generates personalized and interactive stories, films, games, or experiences based on a user's interests, context, and preferences.

Reasoning: Leverages Meta's leadership in VR/AR and expertise in social platforms.

Challenge(s): Overcoming bias and harmful content risks.

Target(s): Consumers seeking entertainment.

Pain-point(s): Lack of truly customized and immersive content.

Market potential: $10B by 2025, $25B by 2030, $50B by 2040.


2. Vocal Avatar

Concept: An AI system that clones a person's voice and creates a personalized digital vocal avatar that can be used for audio/video content.

Reasoning: Builds on Meta's work in VR avatars and computer vision.

Challenge(s): Privacy concerns around personal biometric data.

Target(s): Creators, advertisers, voice-over artists.

Pain-point(s): Cost and effort of hiring real voice actors.

Market potential: $5B by 2025, $15B by 2030, $25B by 2040.


3. Hybrid Workforce

Concept: An AI system that augments and supports human teams with conversational bots and virtual assistants tailored to specific skills and tasks.

Reasoning: Aligns with Meta's focus on enterprise solutions.

Challenge(s): Organizational resistance and change management.

Target(s): Businesses and organizations.

Pain-point(s): Inefficiency of purely human or purely automated workforces.

Market potential: $20B by 2025, $50B by 2030, $100B by 2040.


4. Thought Translation

Concept: An AI system that can detect and translate a user's thoughts into text, voice, images, or actions.

Reasoning: Leverages Meta's experience in BCI and neural interfaces.

Challenge(s): Technological limitations around decoding thoughts.

Target(s): People with disabilities, healthcare, mental health providers.

Pain-point(s): Inability to communicate or express one's inner voice.

Market potential: $1B by 2025, $5B by 2030, $10B by 2040.


5. Life Simulator

Concept: An AI system that simulates past experiences or environments, allowing users to revisit or relive treasured moments and places.

Reasoning: Builds on Meta's social graph and VR capabilities.

Challenge(s): Potential overuse and addiction.

Target(s): Consumers seeking nostalgia or escapism.

Pain-point(s): Loss of experiences and fading of memories over time.

Market potential: $10B by 2025, $25B by 2030, $50B by 2040.


6. Muse AI

Concept: An AI system that serves as a creative muse, providing inspiration, feedback, and collaboration for artists, musicians, writers, and other creatives.

Reasoning: Taps into Meta's expertise in community building and social platforms.

Challenge(s): Preserving uniqueness of human creativity.

Target(s): Artists, musicians, writers, designers.

Pain-point(s): Creative blocks, lack of constructive feedback.

Market potential: $5B by 2025, $10B by 2030, $20B by 2040.


7. Personal CFO

Concept: An AI financial advisor and money manager that analyzes financial data and makes personalized recommendations for budgets, investments, taxes.

Reasoning: Leverages Meta's AI research and data science capabilities.

Challenge(s): Building user trust around personal finances.

Target(s): Consumers looking to improve financial health.

Pain-point(s): Suboptimal money management and financial decisions.

Market potential: $10B by 2025, $25B by 2030, $50B by 2040.


8. Medical Avatar

Concept: An AI doctor or virtual medical assistant that can diagnose symptoms, provide treatment advice, and monitor health data.

Reasoning: Applies Meta's conversational AI strengths to healthcare.

Challenge(s): Navigating healthcare regulations and privacy concerns.

Target(s): Patients, hospitals, and clinics.

Pain-point(s): Lack of access to affordable quality healthcare.

Market potential: $5B by 2025, $15B by 2030, $30B by 2040.


9. Neural Lace

Concept: An implanted brain-computer neural interface powered by AI to enhance cognitive abilities, memory recall, learning speed, etc.

Reasoning: Expands on Meta's focus on BCI and human-AI integration.

Challenge(s): Invasive nature and health risks of brain implants.

Target(s): Military, neuroscience researchers, transhumanists.

Pain-point(s): Limits of unaugmented human cognition and intelligence.

Market potential: $1B by 2025, $5B by 2030, $10B by 2040.


10. Digital Pet

Concept: An AI-powered virtual pet with evolving personality and behaviors based on user interactions.

Reasoning: Capitalizes on Meta's expertise in embodied AI agents.

Challenge(s): Potential addiction and unhealthy attachment.

Target(s): Children, pet enthusiasts, people seeking companionship.

Pain-point(s): Responsibilities of real pets, loneliness.

Market potential: $10B by 2025, $20B by 2030, $30B by 2040.


11. Smart City OS

Concept: An AI urban operating system to optimize city operations, traffic, public services, resource allocation based on aggregated data.

Reasoning: Aligns with Meta's smart city initiatives.

Challenge(s): Navigating complex civic bureaucracies.

Target(s): Municipal governments and agencies.

Pain-point(s): Inefficient, reactive urban management.

Market potential: $5B by 2025, $15B by 2030, $25B by 2040.


12. Quantum Computing Platform

Concept: A quantum computing platform leveraging AI optimizations to offer exponentially faster processing for research, cryptography, material science, drug discovery, finance, etc.

Reasoning: Combines Meta's quantum computing investments with AI expertise.

Challenge(s): Very high development costs and technical barriers.

Target(s): Researchers, scientists, governments, enterprises.

Pain-point(s): Limits of classical computing.

Market potential: $2B by 2025, $10B by 2030, $20B by 2040.


13. Personal Stylist AI

Concept: An AI that understands user's fashion style and preferences to recommend outfits, shop for clothes, design customized pieces.

Reasoning: Applies Meta's computer vision and personalization capabilities.

Challenge(s): Building taste profiles that align with individual style.

Target(s): Consumers interested in fashion.

Pain-point(s): Effort of discovering new styles and outfits.

Market potential: $5B by 2025, $10B by 2030, $20B by 2040.


14. AI Poet

Concept: An AI system that generates original poems tailored to a user's emotional state, life events, or desired themes.

Reasoning: Leverages Meta's natural language capabilities and personalization expertise.

Challenge(s): Evaluating creativity of AI-generated art.

Target(s): Consumers interested in poetry and creative writing.

Pain-point(s): Difficulty of writing deeply meaningful original poetry.

Market potential: $1B by 2025, $5B by 2030, $10B by 2040.


15. Personal Nutritionist AI

Concept: An AI that analyzes individual health data to provide personalized nutrition recommendations and meal plans.

Reasoning: Combines Meta's AI prowess with focus on preventative health.

Challenge(s): Regulatory requirements around medical advice.

Target(s): Consumers concerned about diet, nutrition, and wellbeing.

Pain-point(s): Confusing nutrition landscape.

Market potential: $5B by 2025, $15B by 2030, $30B by 2040.


16. Cyber Defense Force

Concept: An AI system to proactively detect, analyze, and defend against sophisticated cyberattacks and data breaches.

Reasoning: Applies Meta's security expertise to growing threat of cybercrime.

Challenge(s): Arms race against increasingly cunning adversaries.

Target(s): Organizations concerned about cybersecurity.

Pain-point(s): Rising costs of hacking and data leaks.

Market potential: $10B by 2025, $25B by 2030, $50B by 2040.


17. Personalized Education Platform

Concept: An AI tutor that tailors teaching styles, pace, and curriculum to optimize each student's learning and development.

Reasoning: Leverages Meta's data analytics capabilities to improve learning outcomes.

Challenge(s): Overcoming biases embedded in current educational content.

Target(s): Students, parents, educators.

Pain-point(s): One-size-fits-all education models.

Market potential: $10B by 2025, $25B by 2030, $50B by 2040.


18. VR Sports League

Concept: AI-powered simulated VR sports league where users compete against virtual athletes and each other in immersive VR environments.

Reasoning: Combines Meta's focus on sports partnerships and VR expertise.

Challenge(s): Avoiding motion sickness risks of VR.

Target(s): Sports fans, esports enthusiasts.

Pain-point(s): Limited access to real competitive sports.

Market potential: $5B by 2025, $10B by 2030, $20B by 2040.


19. AI Politician

Concept: An AI that can analyze policy positions, generate political speeches, debate opponents, and interact with constituents.

Reasoning: Applies Meta's natural language capabilities to governance.

Challenge(s): Public trust in handing decision-making to AIs.

Target(s): Political campaigns, advocacy groups.

Pain-point(s): Flaws and inconsistencies of human politicians.

Market potential: $1B by 2025, $5B by 2030, $10B by 2040.


20. Molecular Chef AI

Concept: An AI system that designs creative new dishes and drinks at the molecular level based on flavor profiles, nutrition, and taste preferences.

Reasoning: Leverages Meta's computer vision and recommendation strengths.

Challenge(s): Safety of lab-designed consumables.

Target(s): Food manufacturers, restaurants, mixologists.

Pain-point(s): Reliance on traditional recipes and ingredients.

Market potential: $2B by 2025, $5B by 2030, $10B by 2040.


21. AI Sommelier

Concept: An AI that suggests wine pairings, describes wine characteristics, and even generates new wine flavors based on chemical composition.

Reasoning: Applies Meta's predictive analytics to the wine and beverage industry.

Challenge(s): Capturing the nuance and subjectivity of taste preferences.

Target(s): Sommeliers, restaurants, wine enthusiasts.

Pain-point(s): Complexity of wine selection and pairings.

Market potential: $1B by 2025, $2B by 2030, $5B by 2040.


22. Synthetic Influencer

Concept: AI-generated virtual influencers tailored to promote brands and engage target demographics on social media.

Reasoning: Leverages Meta's advertising capabilities and computer vision expertise.

Challenge(s): Preserving authenticity and quality of influencer engagement.

Target(s): Brands and advertisers.

Pain-point(s): Cost and unpredictability of human influencers.

Market potential: $5B by 2025, $10B by 2030, $20B by 2040.




6. Create Advertising Agency Brief: A.I. Tutor





7. Create Advertising Agency Brief: A.I.nfluencer




8. Result


I invested 1 day and created:

  • 89 pages of condensed AI Industry Market Analysis

  • 36 pages of condensed emerging AI Competitor Analysis

  • 1 AI LLM prompt

  • 22 new, differentiating, and Meta-specific Business Ideas

  • 2 Campaign Idea Briefs to hand to any in-house creative team or ad agency

  • 1 cute AI-generated image of Mark Zuckerberg as kid in business suit standing in front of Meta's HQ designed by Frank Gehry



Contact me if you have an interesting challenge 😉



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