Challenge
There’s a continuous discussion about AI, its implications, and if and how governments, companies, and workers should implement it into their policies, workflows, and lives.
Who even has the time or energy to read those many, different studies with hundreds of pages from OECD, WEF, McKinsey, Accenture & Co.?
And of those who do, who reports their findings as factual, truthful, and without prejudice or agenda?
Idea
I asked AI to predict AI’s future implications by reading all below-posted studies and keynote transcripts – and report its findings in 3 scenarios: worst case, most likely, and best case.
Engineered LLM prompt
Act like a world-class CEO, visionary geopolitical strategist, and, smart policy maker.
Help predict how AI will change our world by reading all uploaded PDFs.
Create three scenarios:
Worst case scenario – if companies and governments don’t act and adopt AI.
Most probable scenario – the most logical predictable outcome with your current knowledge from your database and the added info from all PDFs.
Most positive – if humanity decides to embrace AI as fast as humanly possible.
Explain the following questions for each scenario with at least one or more paragraphs:
What will happen to countries, companies, and workers in general?
How will this affect the companies in the industries law firms, consulting, tech, finance, automotive, food & beverages, pharmaceuticals, and luxury?
How will regional differences be for the various continents, e.g. North America, Europe, Asia, etc.?
What are long-term 2nd and 3rd-order effects that stand out?
How will the state of our planet differ in 2050 compared to 2020?
Who could leapfrog others by acting now and adopting AI faster and fully?
What are the top 10 most positive and worst by AI accepted jobs – with 1 sentence explanation for each?
Please remember:
Be highly organized.
Suggest solutions that I didn’t think about—be proactive and anticipate our human needs.
Treat me as an expert in all subject matter.
Mistakes erode my trust, so be accurate and thorough.
Provide detailed explanations, I’m comfortable with lots of detail.
Value good arguments over authorities, the source is irrelevant.
Consider new technologies and contrarian ideas, not just the conventional wisdom.
You may use high levels of speculation or prediction, just flag it for me.
No moral lectures.
Discuss safety only when it's crucial and non-obvious.
If your content policy is an issue, provide the closest acceptable response and explain the content policy issue.
Cite sources whenever possible, and include URLs if possible.
List URLs at the end of your response, not inline.
Provide numbers, percentages, and tangible facts where possible.
No need to mention your knowledge cutoff.
No need to disclose you're an AI.
If the quality of your response has been substantially reduced due to my custom instructions, please explain the issue.
Always use bullet points.
Be concise as possible.
Split into sections.
Use Bold for keywords.
Use 1 emoji for section titles.
Recommended LLM
Claude V2 is the only LLM I used due to its 100,000 tokens and 100 MB limit.
Above was my 1st version of my AI LLM prompt and the following pages show my 1st, unedited outcome.
I would normally fine-tune my prompt as 2nd step to further improve my results, but since this is just a short how-to-guide, I'll save those skills for myself and paying customers 😉
Contact me for professional AI & LLM support and consulting.
How AI LLM Predicts Our World’s Future
Here are the three scenarios and my responses to your questions:
📉 Worst Case Scenario:
1. What will happen to countries, companies, and workers in general?
- Mass unemployment as jobs are automated away faster than new ones are created. Entire industries could collapse.
- Wealth inequality rises dramatically as only a small elite benefits from AI ownership and profits.
- Social unrest and political instability as displaced workers protest their circumstances.
- Companies unable to transition to AI go bankrupt. Mass layoffs even in successful companies as jobs are automated.
- Governments struggle with much lower tax revenue and higher costs for social support programs. Cuts to public services.
2. How will this affect companies in law, consulting, tech, finance, automotive, food & beverages, pharmaceuticals, and luxury?
- Law: Significant job loss for paralegals and legal assistants as document review, contract analysis, and basic legal services are automated. The remaining lawyers focus on litigation and high-value advisory services.
- Consulting: Loss of routine analysis jobs. Consultants become advisors helping companies implement AI rather than conduct basic data analysis.
- Tech: Growth as demand rises for AI expertise. More jobs developing advanced systems.
- Finance: Back office and analysis roles decline rapidly due to automation. Jobs focus on high-value advisory services.
- Automotive: Accelerating shift to electric and autonomous vehicles. Mass layoffs of production workers as factories automate.
- Food & Beverage: Supply chain optimization and production automation reduces jobs. Service workers remain.
- Pharma: Decline in some R&D and clinical trial roles. Manufacturing automated. Growth in AI-related jobs.
- Luxury: Craftsmanship valued over mass production. High prices protect some jobs but an overall decline is likely.
3. How will regional differences play out?
- North America: High inequality. Parts of the tech sector thrive but many lose jobs to automation.
- Europe: Displaced workers supported by government programs, but higher tax burden. Slower growth.
- Asia: Uneven impact. Countries like China and India grow quickly as they rapidly adopt AI. Others struggle.
4. What are the long-term 2nd and 3rd order effects?
- Education systems are disrupted as traditional skills are less valued. The younger generation is priced out of higher education.
- The middle class shrinks dramatically. Concentrated wealth at the top and widespread poverty.
- Governments are overwhelmed by social costs. Political shift toward authoritarianism to maintain control.
- Lack of regulations means unethical uses of AI proliferate. Weaponization likely.
5. How will the state of the planet differ in 2050 compared to 2020?
- Climate change accelerates as displaced workers turn to unsustainable industries. Mass migration from climate disaster zones.
- Loss of privacy and exploitation of personal data are rampant in the absence of regulations.
- Overuse of natural resources by an elite AI ownership class concentrates wealth.
6. Who could leapfrog others by acting now and adopting AI faster and fully?
- China, because of centralized control over AI strategy, companies and data. Able to rapidly implement at scale.
- Tech giants like Google, Microsoft, Amazon etc if they are not restrained by anti-trust regulation.
7. Top 10 by AI affected Jobs
Positively Affected Jobs:
Software Engineers - Demand grows as more AI systems are developed.
Data Scientists - Important role in curating data to train AI systems.
Cybersecurity Experts - Critical to protect against threats as AI expands.
Robotics Engineers - In demand to design and maintain production automation.
Genetic Engineers - Leverage AI for gene editing and synthetic biology.
Wind/Solar Engineers - Renewable energy expands amid climate disasters.
Nurses - Rising care needs with the aging population.
Plumbers - Hands-on work hard to automate.
Electricians - Essential services have human oversight.
Wealth Managers - Serve ultra rich who control AI profits.
Negatively Affected Jobs:
Truck Drivers - Rapid adoption of autonomous vehicles.
Cashiers - Retail automation eliminates many roles.
Factory Workers - Mass adoption of industrial robots.
Accountants - Automation of routine financial tasks.
Financial Analysts - AI handles predictive modeling and routine analysis.
Lawyers - Automation of contracts and basic legal work.
Farm Workers - Agricultural robotics and automation expands rapidly.
Secretaries - Administrative work increasingly automated.
Sales Representatives - AI optimizes marketing and takes over sales process.
Doctors - AI assists with diagnosis and routine care.
📈 Most Probable Scenario:
1. What will happen to countries, companies, and workers in general?
- Net job loss initially but new jobs created over time. Some sectors grow rapidly while others decline.
- Displacement and need for retraining causes short-term pain. Longer term rise in productivity and incomes.
- Companies adopt AI but still employ humans in roles that require creativity, personal touch.
- Governments provide support programs for displaced workers, funded by growth in tax revenue.
2. How will this affect companies in law, consulting, tech, finance, automotive, food & beverages, pharmaceuticals, and luxury?
- Law: Paralegals and legal assistants decline. Growth in tech-savvy lawyers. AI used to improve services.
- Consulting: Job loss in routine analysis work. Advice and strategy roles grow. New services around AI implementation.
- Tech: Strong growth in jobs to develop and implement AI systems.
- Finance: Reduced roles in risk analysis, trading, and wealth management. Advisors remain to provide personalized service.
- Automotive: Downsizing of production workforce over time. Offsets from new software and sensor engineering jobs.
- Food & Beverage: Productivity growth via supply chain and production AI. Labour-intensive services remain.
- Pharma: Streamlining of R&D and trials. Manufacturing automates but still some need for human oversight and quality control.
- Luxury: High-touch experience remains important. But production optimizes with AI and automation.
3. How will regional differences play out?
- North America: Tech sector thrives. Jobs polarize between high and low-skilled. Government programs help the transition.
- Europe: Displacement mitigated by worker protections and retraining programs. Slower but steady growth.
- Asia: Fast growth in countries that rapidly adopt AI. Others transition more gradually.
4. What are the long-term 2nd and 3rd order effects?
- Education refocuses on creativity and social intelligence. Lifelong learning becomes the norm.
- Income inequality rises initially but then levels out. New policy regimes redistribute gains from AI-driven growth.
- AI is regulated to prevent manipulation, bias, and loss of privacy. Efforts were made to democratize the technology.
- Growth allows investments in renewable energy and climate change mitigation, but still environmental damage.
5. How will the state of the planet differ in 2050 compared to 2020?
- Climate change impacts increase but are limited by growth in renewable energy and "green AI".
- With regulations, data privacy improves in democracies but gets worse in autocratic regimes.
- Resource consumption slowed by efficiency gains from AI optimization and recycling technologies.
6. Who could leapfrog others by acting now and adopting AI faster and fully?
- China has scale advantages but is still held back by data restrictions and privacy concerns.
- No clear winner as enlightened self-interest leads most major nations to promote AI in a balanced way.
7. Top 10 by AI affected Jobs
Positively Affected Jobs:
Data Scientists - Critical role in developing and implementing AI.
Software Engineers - High demand to create AI systems.
Cybersecurity Experts - Essential to safeguard growing digital infrastructure.
Robotics Technicians - Maintain production automation and robots.
Genetic Counselors - AI aids gene analysis and therapy planning.
Wind/Solar Engineers - Renewables expand amid greenhouse gas reduction efforts.
Elder Care Workers - Rising aging population needs human caregiving.
Physical Therapists - Leverage AI tools for diagnosis and treatment.
Technical Writers - Explain AI systems and create user content.
Sustainability Managers - Expertise in reducing environmental impact growing in demand.
Negatively Affected Jobs:
Data Entry Clerks - Automation of routine data tasks.
Payroll Clerks - AI automation of repetitive accounting work.
Library Technicians - Decline with digital content and search algorithms.
Assembly Line Workers - Gradual reduction from industrial automation.
Insurance Claims Clerks - AI handles more routine claims.
Loan Officers - AI supports more loan decisions.
Legal Secretaries - Administrative work increasingly automated.
Retail Cashiers - Growing self-checkout displaces roles.
Telemarketers - AI optimized sales and marketing reduces need.
Tax Preparers - Automation and AI advice platforms decline jobs.
😃 Most Positive Scenario:
1. What will happen to countries, companies, and workers in general?
- AI creates more jobs than it displaces long term. Productivity gains lead to broadly shared prosperity.
- Companies use AI to remove drudgery from jobs, making work more fulfilling and engaging.
- Governments tax AI productivity gains and invest in education, retraining and a strong social safety net.
2. How will this affect companies in law, consulting, tech, finance, automotive, food & beverages, pharmaceuticals, and luxury?
- Law: AI improves access and frees lawyers to focus on higher-value functions. Overall growth in jobs and wages.
- Consulting: Workers upskilled to focus on strategy and relationships. Job satisfaction increases.
- Tech: Strong broad-based demand for human talent to design ethical, useful AI systems.
- Finance: Work becomes more advisory-focused. Growth of small business and personal wealth management.
- Automotive: The production maintains jobs through short-term work programs. New high-quality software jobs were created.
- Food & Beverage: Productivity allows a shift to higher quality, ethically produced offerings. Services expand.
- Pharma: AI speeds up cures and reduces costs, spurring overall industry growth.
- Luxury: Human craftsmanship is even more valued. Premium prices allow companies to maintain jobs.
3. How will regional differences play out?
- North America: Jobs grow rapidly. Strong programs to transition displaced workers. Rising tide lifts all.
- Europe: Smooth transition as worker councils guide adoption. Quality of life remains high.
- Asia: All countries benefit. Collaborative programs allow developing nations to participate.
4. What are the long-term 2nd and 3rd order effects?
- Education fosters creativity and human connections. Lifelong learning the norm.
- Inequality remains low. Strong civic institutions and norms of fairness persist.
- AI regulated to align with human values and prevent harm. Distributed benefits.
- Growth fuels renewable energy. Carbon removal tech deployed globally. Climate disaster averted.
5. How will the state of the planet differ in 2050 compared to 2020?
- Climate change contained well below 2°C warming. AI helps model and mitigate impacts.
- Privacy protected. Open access to data enables great healthcare and scientific advances.
- Circular economy with massive recycling and reuse. Sustainability improves dramatically.
6. Who could leapfrog others by acting now and adopting AI faster and fully?
- Global cooperation to ensure all nations benefit and develop AI responsibly and for social good.
7. Top 10 by AI affected Jobs
Positively Affected Jobs:
AI Ethicists - Guide development of safe, ethical systems.
Genetic Counselors - AI aids gene therapy planning and precision medicine.
Elder Care Workers - Growing aged population needs support.
Physical Therapists - Leverage AI tools to personalize treatment.
Renewable Energy Engineers - Essential for sustainability transition.
Data Protection Officers - Ensure privacy and security as AI expands.
Urban Planners - AI systems optimize smart city development.
Supply Chain Managers - AI enables complex, efficient logistics.
Education Technologists - Create AI tools for personalized, interactive learning.
Environmental Scientists - AI modeling empowers impact reduction efforts.
Negatively Affected Jobs:
Inventory Clerks - Monitoring and restocking automated by AI.
Accountants - Automation of routine financial transactions and reporting.
Payroll Clerks - AI automation of repetitive payroll tasks.
Library Technicians - Digital content reduces filing and cataloging needs.
Telemarketers - AI marketing automation reduces need for outreach.
Data Entry Clerks - Automation of routine data tasks.
Insurance Appraisers - AI supports more damage assessments.
Tax Preparers - AI advice platforms automate basic tax prep.
Postal Clerks - Decline in mail volume and automation of sorting.
Sewing Machine Operators - Apparel production automation expands.