The Accenture crash data is stranger than the headlines.

42,000+ IT jobs gone across TCS/Infosys/Wipro/HCL since 2023. But the firms that went hardest on AI didn't save money — they burned it. Token prices fell 60–80%. Total bills went vertical.

MIT: 95% of enterprise AI pilots, no measurable P&L return.

There's a practice for this: AI Reliability Engineering. 11-min breakdown, every number sourced: https://youtu.be/x1l7uWKsN_E

Don't trust. Verify.

#AIReliabilityEngineering #TechLayoffs

Two days ago the world's biggest consulting firm had its worst stock day ever — and dragged Indian IT down with it.

Everyone said "AI took the jobs." The truth is stranger: unmanaged, AI bankrupts the budget when it works.

New breakdown 👇
https://youtu.be/x1l7uWKsN_E

#AI #AIReliabilityEngineering #TechLayoffs #IndianIT

When the next phase of the EU AI Act applies, if your agent's memory runs through a cloud service you own a new question. A local-first, architecture-first take.

https://dev.to/varun_pratapbhardwaj_b13/eu-ai-act-august-2-where-does-your-ai-agents-memory-actually-go-3jf7 #AIReliabilityEngineering

Nine major agent announcements in three weeks. When agents can refactor codebases, touch ERPs, and control robots, verification at the skill level is no longer optional. Here's exactly what developers need to do.

https://qualixar.com/research/blog/agent-skills-are-now-production-code #AIReliabilityEngineering

o3-Pro launched at $800/M tokens. My AI bill this month: $24.

7 products. 4 websites. One routing architecture:
→ Claude Code: orchestrates only
→ Gemini CLI: research + free images
→ CommandCode: $1/mo (DeepSeek 4×, MiMo 10×)
→ Hermes Agent: free image/video via X/SuperGrok

SuperLocalMemory + SLM Hub (50+ tools) + SkillFortify underneath.

Full breakdown: https://qualixar.com/research/blog/heavy-ai-coding-dollar-a-day

#AIReliabilityEngineering #OpenSource #ClaudeCode

60 seconds on Musk × Anthropic — "evil" three months ago, landlord last Tuesday.

$4B/yr · 300 MW · 220K GPUs through SpaceX Colossus 1.

Compute is the moat. Models are tenants.

https://qualixar.com/research/blog/musk-anthropic-evil-to-landlord
@varunPbhardwaj
#AIReliabilityEngineering

Three months ago Elon Musk called Anthropic "evil" and "doomed."

Last Tuesday he became their landlord.

$4B a year. SpaceX's Colossus 1. 300MW. 220,000 NVIDIA GPUs flowing into Anthropic.

His quote on the team: "No one set off my evil detector."

The story isn't his hypocrisy. It's the public confession that compute is the moat — models are tenants.

https://qualixar.com/research/blog/musk-anthropic-evil-to-landlord
@varunPbhardwaj
#AIReliabilityEngineering

60 seconds. 5 scenes. The math nobody is naming.

\$725B on AI. \$27B on humans. The seats were machine-shaped to begin with.

Stop trying to keep them. Build with YOUR name on it.

https://qualixar.com/research/blog/725b-ai-capex-rounding-error
@varunPbhardwaj
#AIReliabilityEngineering

Meta: 8,000 layoffs. Amazon: 30,000. Microsoft: 125,000 buyouts.

$725 billion combined AI capex this year. Up 77% YoY.

Meta's math: $145B on chips, $27B on humans. Firing every employee saves $27B against $145B.

You are the rounding error.

The seat you trained for was machine-shaped to begin with. Build with YOUR name on it.

https://qualixar.com/research/blog/725b-ai-capex-rounding-error
@varunPbhardwaj
#AIReliabilityEngineering