Training Radar
What the market needs. What your team should learn.
Live signals show what AI skills are in demand. Pick a training that matches your team's gap. After training, your Medha Grade on Pulse tells you whether the new skills actually reduced dependency risk and improved productivity.
Based on 30 signals from 8 sources
19 May 2026, 21:43
Why Training Quality Matters
Each score represents real jobs at stake. Poor AI understanding doesn't just slow teams down — it accelerates their replacement. Bad training creates false confidence in people who are already falling behind.
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.
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
Cross-sector average: every untrained organisation accelerates its own obsolescence
Safety certification gaps mean untrained workers are barred from AI-augmented lines
First to be replaced — untrained teams cannot demonstrate value over AI agents
Regulatory violations from untrained AI use lead to compliance sanctions
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 train from real projects and measure the outcome — because the cost of bad training 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.
“Google just declared itself a contender in AI design at IO 2026”
“Agentic app coding gets an upgrade with Google’s release of Android CLI”
“OpenAI co-founder Andrej Karpathy joins Anthropic’s pre-training team”
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 the training and measure what changed.