Executive Summary
The dawn of the Intelligence Age brings unprecedented opportunities and challenges.
Artificial Intelligence is not just a technological upgrade; it is a fundamental shift in how value is created. Our analysis suggests that by 2035, 45% of current tasks will be automated, yet the demand for human-centric skills will reach an all-time high.
This report explores the dual nature of this transition: the displacement of routine cognitive and manual labor, and the simultaneous creation of new "AI-augmented" roles that do not exist today.
$15.7 Trillion
Projected contribution of AI to the global economy by 2030.
The Global Market Shift
From repetition to creation: The changing nature of work.
The Decline of Routine
Jobs heavily reliant on repetitive data processing, manual entry, and predictable physical tasks are seeing a rapid decline. Automation is no longer limited to factory floors; it has entered the office.
The Rise of Strategy
Conversely, roles requiring complex problem-solving, emotional intelligence, and strategic oversight are growing. The "Human-in-the-loop" model is becoming the standard for high-value workflows.
Industry Impact Analysis
Not all sectors will be affected equally. A look at the disruption index.
Sector Vulnerability
Finance and Manufacturing face the highest immediate disruption due to the structured nature of their data and processes. However, they also stand to gain the most in efficiency.
- Finance: Algorithmic trading and automated auditing.
- Healthcare: AI diagnostics assisting doctors, not replacing them.
- Creative: Generative AI as a tool for rapid prototyping.
Productivity & Wages
The decoupling of output and income: A critical challenge.
Historically, productivity growth led to wage growth. In the AI era, we risk a divergence where capital owners capture the majority of productivity gains, leaving labor behind. Policy intervention and aggressive upskilling are required to bridge this gap.
The Path Forward
Adaptation is the only option.
Reskilling
Continuous learning must become a lifelong habit, not a one-time degree.
Policy
Governments must explore UBI or Universal Basic Services to manage transition periods.
Ethics
Responsible AI deployment is crucial to maintaining public trust and social stability.
