AI in Finance & Trading

AI in Finance 2025: From Risk Models to Autonomous Trading

Discover how artificial intelligence is transforming financial services in 2025, moving beyond traditional models to power autonomous systems that optimize trading, enhance security, and navigate complex regulatory demands.

T

TrendFlash

October 4, 2025
2 min read
401 views
AI in Finance 2025: From Risk Models to Autonomous Trading

Introduction: The Irreplaceable Roles

AI will automate most jobs. But some jobs will remain purely human. What are they? And will they be enough?


Jobs That Require Human Touch

1. Leadership and Decision-Making

Why human: Requires judgment, values, vision

Risk: AI advisors might become de facto decision-makers

Reality: Humans will lead, AI advises

2. Creative Direction

Why human: Requires authentic vision and emotion

Examples: Art direction, creative strategy, design

Risk: AI-generated content might become acceptable (dumbing down)

3. Deep Relationships

Why human: Requires genuine care and connection

Examples: Therapy, coaching, mentoring, family

Risk: People might accept AI substitutes (lonely)

4. Care Professions

Why human: Elderly/children prefer humans

Examples: Nursing, elder care, childcare, hospice

Reality: Growing demand (aging populations)

5. Skilled Trades

Why human: Physical dexterity in unpredictable environments

Examples: Plumber, electrician, carpenter, mechanic

Reality: Still needed (unpredictable environments)

6. Community Building

Why human: Creating culture, belonging, social bonds

Examples: Community organizers, spiritual leaders, social workers

Reality: Critical for society, underpaid

7. Artistic Expression

Why human: Requires authentic experience and emotion

Examples: Musicians, actors, writers, artists

Reality: Will survive but transform

8. Education and Mentoring

Why human: Deep understanding of individual, relationship matters

Reality: AI will augment, but relationship core


The Scale Problem

How Many Jobs?

Purely human jobs: 10-20% of current workforce (estimate)

Current US workforce: 160 million

Purely human jobs: 16-32 million

Jobs to displace: 50-100 million

The Gap

We can't create 50-100 million new purely human jobs

Insufficient demand for care work, arts, community

Problem unsolvable through job creation alone


Partial Human Jobs

AI-Augmented Work

Jobs where humans do judgment, AI does execution

Examples: Doctor + diagnostic AI, lawyer + legal AI, accountant + analysis AI

Reality: Fewer humans needed (AI handles routine)

The Scale

Maybe 30-40% of workers transition to AI-augmented roles

Still leaves 30-40% displaced

Problem persists


The Uncomfortable Truth

There aren't enough "last human jobs" for everyone

Can't solve AI displacement through job creation alone

Requires bigger solutions (UBI, redistribution, etc.)


Conclusion: The Last Jobs Will Survive, But Not Enough

Some jobs will remain purely human. But not enough for everyone. Society must answer: What do people do if no jobs available? This is the core economic question of AI age.

Explore more on AI and employment at TrendFlash.

Related Posts

Continue reading more about AI and machine learning

Stay Updated with AI Insights

Get the latest articles, tutorials, and insights delivered directly to your inbox. No spam, just valuable content.

No spam, unsubscribe at any time. Unsubscribe here

Join 10,000+ AI enthusiasts and professionals

Subscribe to our RSS feeds: All Posts or browse by Category