India is grappling with a critical shortage of agentic AI professionals as demand surges, driven by the shift towards sophisticated AI agents capable of autonomous decision-making.
- The current talent pool of under 100,000 is struggling to meet the projected need of 200,000 by 2026, leading to soaring salaries and intense competition among GCCs, IT firms and startups.
What is Agentic AI?
It refers to artificial intelligence systems capable of autonomous decision-making, action-taking, and adaptive learning in dynamic environments.
- It can enable tech companies to deliver a higher value through a ‘service as a software’ shift from ‘software as a service’,”
How It Works
- Data Ingestion: Collects vast amounts of data from multiple data sources and third-party applications.
- Independent Analysis: Analyzes challenges, develops strategies, and executes tasks without constant manual guidance.
- 4-Step Process of Agentic AI Problem-Solving:
Step |
Description |
Perceive |
Extracts meaningful features, recognizes patterns, objects, and environmental factors. |
Reason |
Understands tasks, analyses situations, and generates possible solutions. |
Act |
Executes tasks or actions based on the formulated plans. |
Learn |
Continuously improves through feedback loops and environmental inputs (adaptive learning). |
Sectors Adopting Agentic AI
- Autonomous vehicles.
- Smart manufacturing.
- Healthcare innovation.
- Financial services and retail.
PW OnlyIAS Extra Edge:
Software as a Service (SaaS)
A software delivery model where applications are hosted by a provider and accessed by users over the internet.
- Users subscribe to the software instead of buying and installing it.
- Key Features
- Cloud-based access.
- Subscription model (monthly/yearly).
- Updates and maintenance are handled by the provider.
- Accessible from anywhere with an internet connection.
- Examples: Google Workspace (Gmail, Docs, Drive).
- Use Case: Businesses or individuals use SaaS to reduce IT infrastructure costs and focus on core work without worrying about software management.
Service as a Software
Emerging model where intelligent AI agents autonomously deliver services directly through software platforms, without manual intervention.
- The service itself is encoded as autonomous software agents that act independently.
- Key Features
- AI-driven autonomous operations.
- Minimal to no human supervision required.
- Focus on decision-making, problem-solving, task execution without manual control.
- Enables higher personalization and dynamic adaptability.
- Examples: AI agents autonomously managing customer support without scripted responses.
- Smart bots performing legal document drafting independently.
- AI-powered healthcare diagnosis assistants that analyze, suggest, and act.
- Use Case: Businesses deploying AI agents to replace traditional SaaS solutions with self-operating systems — saving time, cost, and increasing efficiency.
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