For centuries, the global labor economy has functioned on a pyramid:
-70–80% in repetitive or semi-skilled jobs
– 15–20% in specialized or knowledge roles
– <5% in complex, innovation-driven functions
This distribution wasn’t accidental. It kept economies stable, consumer demand alive, and political systems manageable
And “Its NOT a rocket science” phrase had an acceptance
Just then, AI has started skewing this balance
a. Goldman Sachs (2023) predicted: “AI could replace up to 300 million full-time jobs globally.”
b. World Bank data shows 60%+ of jobs in emerging economies are task-based and vulnerable to automation
c. Major IT firms have cut fresher hiring by up to 78% post-GenAI emergence
d. Amazon’s warehouses deploy intelligent robotics for logistics and their AWS division now builds AI agents that can configure cloud services without engineers
On this background, let’s Look at today’s world :
– Aging population (More dependencies)
– High indebtedness (Global debt to GDP to 330%)
– Climate crisis (2023 was the hottest year ever)
– Protectionist trade policies (1 Trillion USD wiped out in Mid-April’25)
So when we talk about the “future of work” or “AI transformation,” we must anchor it in today’s broken balance
We’re not automating tasks
We’re automating “Decision-making”
That changes the entire socio-economic fabric
– Yes, it may not happen in 5 or 7 yrs but may be in 10-15 years?
▪️ Can AI Create Enough New Jobs?
Yes—but with caveats
AI has opened demand in:
– Prompt engineering, AI model trainers (e.g., ScaleAI)
– Data pipeline management, ethical governance, simulation design
– Human-AI hybrid roles (e.g., JPMorgan’s )
But these jobs are:
– Niche, high-skill & Tech-centric
▪️ A World of ‘Generalist+Tech’ but What If You Don’t Want That?
– If 97.5% of future jobs require tech fluency, do we still preserve human choice?
– We risk building a civilization where “non-tech humans” are marginalized—economically and existentially
– And ironically, even AI developers aren’t safe. As AI writes its own code and tests its own logic – The loop eats itself
▪️ What Should Governments, Firms, and Humans Do?
a. Policy-Level: Better get it right now instead of reacting later
– Universal Reskilling Funds
– Job Redesign Incentives
– AI-labor balance regulations
b. Corporate-Level:
– Use AI to augment, not replace. Human-in-loop by design
– Internal marketplaces for employees
– Ethics councils with real power
c. Individual-Level:
– Build industry knowledge + AI fluency
– Re-frame your skill—from task to value
The Human Question
What if someone just wants to be a gardener, a painter, or a teacher?
To close: AI Is Not the Problem. Unbalanced Implementation Is
– We need AI that uplifts. Not replacement
– That leaves space for the human to still matter
Let’s Stay Relevant – On Purpose, Not By Luck
#EthicalAI #CIOInsights #CDOVision #GCCVision2030 #Saudi2030 #UAE2031 #IndiaAI #PublicPolicy #GeopoliticsOfAI
