Name: Future-Opportunities-and-Risks-of-Generative-AI-in-Jobs
Uploaded: 2025-09-24
Duration: 3 min 8 s
Description: Future Opportunities and Risks of Generative AI in Jobs.

Future Opportunities and Risks of Generative AI in Jobs. 

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Future Opportunities and Risks of Generative AI in Jobs

Exploring how artificial intelligence is reshaping the modern workplace and what it means for workers worldwide

What is Generative AI?. Content Creation. AI that generates text, images, code, music, and other creative outputs from simple prompts. 

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AI that generates text, images, code, music, and other creative outputs from simple prompts

Revolutionising how we approach both creative and cognitive tasks across industries

Opportunities: How Generative AI Can Help Jobs. Enhanced Productivity. 

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Opportunities: How Generative AI Can Help Jobs

Automates routine tasks whilst accelerating complex problem-solving, allowing workers to focus on strategic thinking and innovation

Provides personalised assistance with CV writing, interview preparation, skill development recommendations, and career pathway guidance

Creates entirely new job categories including AI trainers, prompt engineers, ethics officers, and human-AI collaboration specialists

McKinsey estimates generative AI could contribute up to £3.5 trillion in annual economic value globally through productivity gains

Risks: Challenges and Threats to Jobs. Scale of Disruption. 

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The International Labour Organisation projects that approximately 25% of jobs worldwide will face significant transformation or potential displacement by 2025

Middle-skilled cognitive jobs face particular risk, as AI excels at pattern recognition and data processing tasks previously requiring human expertise

AI "hallucinations" and factual errors necessitate ongoing human oversight to prevent costly mistakes and maintain accuracy

Security and Ethical Risks. Data Privacy Threats. 

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Risk of confidential information leakage when sensitive company or personal data is inadvertently shared with AI platforms

AI-generated outputs may contain bias, misinformation, or copyright violations, potentially exposing organisations to legal and reputational risks

Sophisticated deepfakes, voice cloning, and adversarial attacks create new vectors for fraud and social engineering

Urgent need for comprehensive AI governance frameworks, transparency standards, and responsible use policies across organisations

Balancing AI and Human Work: The 30% Rule. 70%. AI Tasks. 

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Balancing AI and Human Work: The 30% Rule

Routine processing, data analysis, and pattern recognition

Critical thinking, creativity, and ethical judgement

This balanced approach ensures AI complements rather than replaces human expertise, maintaining trust whilst reducing over-reliance on technology. It promotes sustainable, ethical AI adoption that preserves human agency in decision-making.

Real-World Examples of AI Impact on Jobs. Manufacturing Revolution. 

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Tesla's robotic automation enhances production efficiency whilst creating new roles in robot maintenance and human-machine coordination

Jobs for the Future reports AI tools help candidates find employment 40% faster through personalised matching and skill development

Investment firms deploy AI for continuous market analysis and risk assessment, enabling 24/7 trading whilst requiring human oversight

Advertising agencies use AI for rapid ideation and content creation, freeing creatives to focus on strategy and client relationships

Preparing for the Future: What Can We Do?. 01. Invest in Skills Development. 

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Preparing for the Future: What Can We Do?

Launch comprehensive AI literacy programmes and reskilling initiatives to help workers adapt to new technologies and evolving job requirements

Create robust frameworks that safeguard worker rights whilst promoting fair, transparent AI implementation across industries

Involve employees directly in AI system design and deployment decisions to ensure technology serves human needs effectively

Build partnerships between governments, employers, educational institutions, and worker organisations to coordinate transition support

TEAM MEMBERS. 1)Aditya Santosh Gore. 2)Rusheel AG Bhagatkar. 

Future-Opportunities-and-Risks-of-Generative-AI-in-Jobs

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