Training Radar
What the market needs. What we're building.
Purna Medha tracks AI training demand signals from global news to identify where upskilling is accelerating — and matches it to what we deliver.
Based on 20 signals from 2 sources
17 Feb 2026, 21:57
Purna Medha Upskilling Timeline
We study every innovation ourselves before we teach it. Ajinkya and Shreya each invest an average of 7 hours every day upskilling — 4 years of consistency built our current expertise.
avg. per person
Ajinkya and Shreya each spend 7 hours daily on upskilling — project building, deep research across SIRA layers, and hands-on practice.
Current Expertise
READY- AI Literacy & Foundations
- Model Fine-Tuning
- Vibe Coding
- Application Building
- Workflow & Productivity Management
- AI Risk & Safety
Upskilling
IN DEV- AI Workflows for Industrial Processes
- Medical AI
Studying the domain before we teach it.
Where We Practice Across SIRA
5 of 7 SIRA layers are practiced hands-on daily. Infrastructure and Energy are monitored via external data.
How We Train Differently
- Build before we teach
Every course is built from projects we completed ourselves, not vendor slide decks.
- Practice across all layers
We don’t just teach tools — we study the full risk stack from energy to human cognition.
- Track our learning publicly
YouTube, Notion, and open learning logs so participants can verify the depth.
- Measure against the benchmark
The TQRB scores on the right are the same framework we use to design our curriculum.
Why Training Quality Matters
Every score below represents real jobs. Not understanding AI doesn't just slow people down — it directly increases their risk of being replaced by it. Bad training is worse than no training: it creates false confidence in teams that are already falling behind.
This is why we spend 7 hours a day upskilling ourselves before we teach anyone else. The stakes are too high for surface-level courses.
How to read this
Each row is an industry sector. The score (0–100) measures how much inadequate AI training amplifies the risk of people in that sector being displaced. A higher score means the gap between “trained” and “untrained” has bigger consequences.
In plain terms: if your sector scores 90, it means people who don't properly understand AI in that field face a very high chance of their roles being automated away. The consequence line below each bar explains how it happens in that specific industry.
First to be replaced — untrained teams cannot demonstrate value over AI agents
Safety-critical failures = immediate replacement by AI-native operators
Untrained clinical AI use risks misdiagnosis at scale — lives depend on practitioners who understand the tools
Safety certification gaps mean untrained workers are barred from AI-augmented lines
Regulatory violations from untrained AI use lead to compliance sanctions
Cross-sector average: every untrained organisation accelerates its own obsolescence
Wasted spend + shadow AI proliferation as employees bypass ungoverned tools
Hallucinated citations already causing court sanctions — untrained use is malpractice
AI-native studios ship faster and cheaper — traditional teams lose competitive edge
Vibe coding without understanding = compounding tech debt and fragile systems
This is why Purna Medha exists. Every sector above has people whose livelihoods depend on whether their organisation invests in real AI training or ignores the gap until it's too late. We don't teach AI from slide decks — we teach it from 4 years of daily practice, because the cost of getting training wrong is measured in careers, not just budgets.
Scores combine a proprietary static baseline per sector with a live signal boost from current training demand headlines. Max amplification: 40%.
Demand by Category
Signal intensity across 7 training categories. Higher bars indicate stronger market demand.
“Could Government AI Training Upskill 10 Million Workers? - AI Magazine”
“Exclusive: House lawmakers push tax credit for AI skills - Axios”
What We Deliver
Each demand category maps to trainings Purna Medha already offers or is actively developing.
Signal Feed
The demand is real. The training gap is growing.
Whether you need enterprise tool training, leadership upskilling, or hands-on AI building — we deliver what the market actually needs.