In April 2026, Anthropic released Mythos — an AI model that read a 30-year-old system and found what humans missed for 27 years. Autonomously.

This is not a security story. It is a contracts story.

Every managed-services SLA running right now was written for a world where human diligence was the best available standard. Mythos just changed what best available means overnight.

In this episode I share what I see in this — and how I am thinking about what it means for legacy IT contracts, Indian IT services, and the standard of care embedded in managed services agreements.

What you will hear:

— The three things Mythos demonstrably did: OpenBSD, FFmpeg, binary reconstruction

— Why this is not a security story — it is a contracts story

— The three opportunities Mythos just made viable that did not exist 60 days ago

— The legal standard of care shift and what Gilbert + Tobin said about board liability

— Why Berkshire Hathaway, Chubb, and Travelers excluded AI damages from general liability

— The fog premium question — how much of your margin was genuine expertise?

— What AI deflation means and why HCL and TCS are already naming it

— The Trust Premium framework — where value moves when production gets cheap

Host: Subrata Kar

The Spark & The Forge — patterns from practitioners.

Newsletter: https://substack.com/@subratakar

YouTube: https://youtube.com/@thesparkandtheforge

LinkedIn: https://www.linkedin.com/in/subroto

SOURCES

Anthropic Project Glasswing: https://www.anthropic.com/glasswing

Anthropic Red Team Blog: https://red.anthropic.com/2026/mythos-preview/

Gilbert + Tobin Legal Analysis: https://www.gtlaw.com.au/insights/how-mythos-class-ai-is-changing-the-cyber-security-risk

Mozilla Firefox 271 Vulnerabilities: https://thenextweb.com/news/mozilla-firefox-claude-mythos-271-vulnerabilities

Insurance Exclusions: https://www.pymnts.com/artificial-intelligence-2/2026/big-insurance-backs-away-from-ai-risk

APRA CPS 234: https://www.apra.gov.au/information-security

NASSCOM Letter: https://www.medianama.com/2026/04/223-india-anthropic-claude-mythos-project-glasswing-access/

OpenAI Daybreak: https://www.techbuzz.ai/articles/openai-just-released-its-answer-to-claude-mythos

AI Deflation: https://www.theregister.com/2026/04/28/tcs_infosys_wipro_hcl_fy26/

Coalition CEO Quote: https://www.coalitioninc.com/blog/cyber-insurance/after-mythos-what-actually-changes-for-cyber-risk

DISCLAIMER

This podcast is for informational and educational purposes only. It does not constitute professional financial, investment, or legal advice. Always conduct your own research and consult with qualified professionals before making business, legal, or financial decisions.

FAIR USE NOTICE

Referenced materials in this episode are used for purposes of commentary, analysis, criticism, and education under Section 107 of the Copyright Act (Fair Use).

Software is getting 60-80% cheaper to build. That's changing everything about buying versus building enterprise software.

Last September, Chamath Palihapitiya made a bold claim: one company is replacing a $15 million-per-year SaaS vendor using what he calls a Software Factory. Not switching to a competitor. Replacing it entirely.

Here's what's happening beneath the hype:

SaaS valuations crashed from 20x revenue to 3.5x. India's IT services revenue grew 6.1% while headcount grew only 2.3%—the widest gap in a decade. Big Four consulting firms are racing to deploy Software Factory services.

When production gets industrialized, economics shift. The question is: where does the value move?

In this episode, I break down:

- Why Software Factories work NOW (the GenAI breakthrough that changed everything)

- How AI maps 30-year-old legacy systems we thought were unmappable

- The 4-step factory process (map → knowledge graph → assembly → validation)

- Why India IT firms face pricing pressure first (offshore model disruption)

- Why engineering jobs grow 17% while routine coding declines (BLS data)

- The Trust Premium: why validators win, not the fastest builders

This isn't about coding faster. It's about reducing the cost of understanding, changing, and validating enterprise software. That's the real breakthrough.

TIMESTAMPS:

0:00 Hook: Software Getting 60-80% Cheaper

0:30 Chamath's $15M SaaS Replacement Claim

1:15 Three Signals: SaaS Crash, India IT Gap, Big Four

2:30 Category Formation (EY Partnership)

3:25 Why DevOps, Offshore, Low-Code Didn't Change Economics

5:15 India IT: NASSCOM 6.1% vs 2.3% Data

6:25 Why FY26 Is Different (AI Pilots → Production)

8:20 SaaS Valuation Collapse (20x → 3.5x)

9:45 Legacy Fog: 80% Investigated AI, 5% in Production

11:30 Why Traditional Approaches Fail

12:45 Software Factory 4-Step Process

14:15 Why Couldn't We Do This Before? (GenAI Breakthrough)

15:50 JPMorgan COiN Example (360K Hours Saved)

16:45 BCG 70% Rule: People, Process, Change Management

18:05 Engineering Jobs: Growing 17%, Not Declining

18:50 The Rebuttal: Global Growth vs India Decline

19:50 Trust Premium: Validators Win, Not Builders

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FULL ANALYSIS:

Read the detailed breakdown on my Substack covering who loses margin first, three pricing models emerging, and the complete reconciliation of why global jobs grow while India headcount declines.

Link: https://substack.com/@subratakar

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Host: Subrata Kar

The Spark & The Forge

I study patterns from builders who scale—enterprise systems, AI platforms, and startups—and extract actionable insights leaders can apply immediately.

LinkedIn: https://www.linkedin.com/in/subroto

Newsletter: https://substack.com/@subratakar

YouTube: https://youtu.be/8pWI3W-M4xM

Insurers have stopped covering AI failures. Claudionor Coelho Jr. — ex-Chief AI Officer at Zscaler & Avantest, Stanford PhD — breaks down why.

95% of AI pilots never make it to production. Not because the AI fails. Because the security breaks. The reliability breaks. The governance breaks. Something else breaks first.

Claudionor has spent 30 years building mission-critical systems — from chip-level verification at Stanford to 500 billion daily transactions at Zscaler to CERN's Large Hadron Collider. He's now Senior AI Fellow at Majestic Labs, advising Daxa on reasoning layers and Ridge Security on agentic pentesting.

In this conversation we cover:

— Why AI risk has become revenue risk— The Swiss Cheese problem with traditional security in agentic systems— Why zero trust protects the connection but not the behavior— The Autonomy Paradox — why "just have humans check the output" fails— True Zero Trust explained — from semiconductor manufacturing to enterprise AI— The math of multi-agent reliability: 90% accurate agents produce a system that works 35% of the time— Why triple redundancy fails when errors are correlated (the Air France lesson)— The auditability gap in multi-agent systems— Reasoning layers (Daxa) and agentic pentesting (Ridge Security)— The trillion-agent future and Project NANDA at MIT— Why AI-powered social engineering is now nearly impossible to detect

00:00 — Introduction02:48 — Building agents is a software engineering problem, not an LLM problem05:02 — APIs, trillions of agents, MCP, and flood gates to hell08:17 — The Swiss Cheese problem11:34 — Probabilistic vs discrete systems — why LLMs hit hard limits14:50 — Origin of True Zero Trust18:33 — The Autonomy Paradox — Tesla & MIT studies21:35 — Vibe coding danger — the lab deleted by "Yes to All"23:26 — Data leakage reality — the red and blue customer26:34 — Business rules that must be 100% guaranteed28:14 — Multi-agent failure math: 90% → 35% + Air France32:03 — The auditability gap35:16 — Reasoning layers — Daxa / Pebblo neuro-symbolic approach38:51 — Ridge agentic pentesting — attacks humans can't conceive42:23 — Project NANDA — the internet of agents47:01 — Personal attacks using world understanding47:11 — Key takeaways

"I call this flood gates to hell. You open the gate and you start sending confidential information to that MCP connection. And that MCP connection is people on the other side." — Claudionor Coelho Jr.

GUESTClaudionor Coelho Jr.Senior AI Fellow — Majestic Labsex-Chief AI Officer at Zscaler & Avantest | ex-Google | Stanford PhDAdvisor to Daxa & Ridge SecurityLinkedIn: https://www.linkedin.com/in/claudionor-coelho-jr-b156b01

HOSTSubrata Kar — The Spark & The ForgeI study patterns from builders who scale — enterprise systems, AI platforms, and startups — and extract actionable insights leaders can apply immediately.LinkedIn: https://www.linkedin.com/in/subrotoNewsletter: https://substack.com/@subratakar

Full episode also on YouTube: https://youtu.be/eE7lYEtXHIQ

Most companies didn't choose AI dependency. They drifted into it — one tool at a time, one workflow at a time.In this episode, I speak with Tamsin Deasey-Weinstein, who leads AI strategy for the Cayman Islands — a financial hub thinking seriously about AI sovereignty, governance, and capability.We explore:- Why AI adoption fails even in well-funded organizations- Why the real bottleneck is talent, not compute- The near-zero-cost training model that scales- Why governance enables speed (not slows it)- How companies lose leverage when workflows depend on "rented intelligence"- The real risk of AI: not job loss, but loss of judgmentThis isn't a tools episode. It's about drift, dependency, and deciding before it's too late.🔗 CONNECTGuest: Tamsin Deasey-WeinsteinLinkedIn: https://www.linkedin.com/in/tamsindeaseyweinstein/Host: Subrata KarNewsletter: https://www.linkedin.com/newsletters/7240332159192875008LinkedIn: https://www.linkedin.com/in/subroto/The Spark & The Forge — Patterns That Actually WorkExtracting scaling patterns from leaders building enterprise, AI, and future-of-work systems.

Air Canada's chatbot gave a passenger wrong information about bereavement fares. The customer followed it, booked the flight, and applied for a refund. Air Canada rejected it.

In court, Air Canada's defense: "The chatbot is a separate legal entity."

The tribunal rejected it. Air Canada lost.

You are liable for what your AI says — even if you can't explain how it arrived at that answer.

In this episode, I sit down with Malcolm Hawker (Chief Data Officer at Profisee, former Gartner analyst, 1,500+ CDO conversations) to unpack what actually breaks when companies deploy AI on ungoverned data.

What we cover:

• Why 95% of AI pilots fail (governance breaks first, not technology)
• The Rule of 10: Fix data after = 10× cost, use bad data in decisions = 100× cost
• How Lexmark generated $2M in additional revenue from answering one question: "How many copiers do we have?"
• The "Turn It Off" moment: Why a CEO rejected accurate data (it broke sales compensation)
• Jevons Paradox: Why good governance creates MORE demand, not less
• The 15% vs 85% divide: What separates companies who ship customized AI from those stuck on "best effort"
• IBM's guardrail paradox: Using AI to police AI's bias
• Why legacy frameworks (DAMA wheel) consume 2-3 years with zero ROI
• What Malcolm's seeing in production: Explainability becomes the only defense

Guest Background:

Malcolm Hawker is Chief Data Officer at Profisee and author of The Chief Data Officer's Playbook and The Data Hero Playbook. As a former Gartner analyst, he's had over 1,500 conversations with Chief Data Officers and seen what works — and what fails — in production AI deployments.

For Leaders Who Need to Decide:

If you're a CDO, CTO, or AI product leader deploying AI this quarter, Malcolm offers field-tested frameworks you can test immediately:

• Don't start with frameworks — start with outcomes
• Hire a value engineer (quantify governance in CFO language)
• Go outcome by outcome (not "fix it all" strategies)
• Recognize that good governance unleashes demand (Jevons Paradox)
• Ask: Can you explain your model's output to a judge?

This isn't theory. These are patterns from 1,500+ CDO conversations and real production deployments.

Connect with Malcolm:LinkedIn: https://www.linkedin.com/in/malcolmhawker

Host:Subrata Kar studies patterns from builders who scale — enterprise systems, AI platforms, and startups — and extracts actionable insights leaders can apply immediately.

LinkedIn: https://www.linkedin.com/in/subroto
Newsletter: https://substack.com/@subratakar

Only 5% of enterprise AI projects ship. Not because the model failed — because the system wasn't designed.

Noelle Russell — CEO of the AI Leadership Institute and 5x Microsoft Trustworthy AI MVP — has built enterprise AI systems at Amazon Alexa, Microsoft, IBM, and Accenture. She has watched hundreds of pilots fail. And studied the ones that didn't.

In this episode we cover:

Why AI failure is a leadership problem, not a technical one.The ARC framework — how the 5% build competitive advantage.Overprivileged AI — why most teams can't see it until it's too late.Constitutional AI — using agents to monitor other agents.Agent isolation, RBAC, and kill switches.The AI governance card — documenting every AI system you deploy.Why policy is the floor, not the ceiling.The minimum remarkable product — what viability can't do that remarkableness can.The grandmother jailbreak — how a journalist broke GPT 3.5 with a story.Model drift, prompt injection, and data poisoning — the silent killers of production AI.

"Baby tigers are running wild. And nobody even has an inventory."— Noelle Russell

Noelle RussellCEO, AI Leadership Institute5x Microsoft Trustworthy AI MVPLinkedIn: linkedin.com/in/noelleai

Subrata KarHost, The Spark & The ForgeLinkedIn: linkedin.com/in/subrotoNewsletter: substack.com/@subratakar

Watch the full episode with visuals on YouTube:https://youtu.be/_dQb417CXaY

Black Space explores the unexplored idea regions humans are not equipped to search — and what happens when machines can.

In Episode 70 of The Spark & The Forge, Subrata Kar speaks with Jepson Taylor (Founder & CEO of VEOX) about the limits of human-led innovation and the rise of autonomous algorithm discovery.

TOPICS WE DISCUSS:

- Why humans may have already missed profound mathematical breakthroughs

- Why thousands tried — and failed — to invent the next Transformer

- How AI systems explore idea space differently from humans

- Algorithm decomposition, genetic soup, and autonomous invention

- Why validation — not idea generation — is the real bottleneck

- The coming shift in talent, adaptability, and productivity

- Why leaders like Eric Schmidt point to 2027 as an inflection point

This is not a hype episode. It's a boundary-setting conversation about limits, leverage, and the future of innovation.

GUEST:

Jepson Taylor — Founder & CEO of VEOX, building autonomous AI systems that invent algorithms beyond human search limits. He holds 14 US patents in AI, has led data science teams at Sequoia Capital-backed companies, and previously founded Zeff.ai (acquired by DataRobot).

LinkedIn: https://www.linkedin.com/in/jepsontaylor/

HOST:

Subrata Kar — Host of The Spark & The Forge, Strategic Advisor to Growth-Stage Startups, Mentor at T-Hub & NASSCOM DeepTech Club.

LinkedIn: https://www.linkedin.com/in/subroto/

Newsletter: https://substack.com/@subratakar

CHAPTERS:

00:00 — Introduction: Why this conversation matters

04:38 — "Unfound algorithms surround us"

07:02 — Why the human approach is clumsy

08:49 — The PhD paradox & idea scarcity

10:14 — Four constraints that limit human innovation

12:40 — Inspiration seeds & engineered luck

14:54 — AlphaGo Move 37 and alien ideas

17:55 — Why we haven't invented the next transformer

20:25 — Adaptability vs human algorithms

26:00 — Algorithm decomposition & genetic soup

29:06 — Why AI-invented algorithms are statistically novel

31:45 — Hallucinations as a feature, not a bug

35:27 — Stillborn rate & autonomous validation

38:48 — Black Space: searching the void

40:45 — Where autonomous invention fails today

42:35 — Why validation is the real bottleneck

50:40 — Real-world results in production systems

55:17 — From creators to validators: future of talent

59:20 — 10x → 100x → 1000x engineers

01:01:22 — Data as the only durable moat

01:15:34 — Why 2027 keeps coming up

01:19:43 — Final thoughts: obsession vs curiosity

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Subscribe to The Spark & The Forge for more conversations with builders shaping the future.

Newsletter: https://substack.com/@subratakar

YouTube: https://youtube.com/@TheSparkAndTheForge

LinkedIn: https://www.linkedin.com/in/subroto/

#BlackSpace #AI #Innovation #AutonomousAI #MachineLearning #FutureOfWork

8,000 rural women achieve 94% health behavior change while India's digital platform struggles with 20% useful outcomes. How is this possible?

Mukti Bosco built a healthcare revolution from the ground up. Starting with one woman's story - a child pulled from school to pay medical debt - she discovered that rural communities don't need saving, they need partnership.

In this deep conversation, we explore how community trust scales better than technology, why embedded relationships outperform digital efficiency, and what happens when you treat people as partners, not beneficiaries.

Key topics: rural healthcare transformation, women's economic empowerment, community health entrepreneurs, scaling social impact, emerging market innovation, healthcare equity, sustainable development.

Perfect for: Social entrepreneurs, healthcare leaders, impact investors, development professionals, startup founders working in emerging markets.

Guest: Mukti Bosco - 2022 Roux Prize Winner, Ashoka Fellow, Founder of Healing Fields Foundation Host: Subrata Kar

🚨 We've scaled telehealth to hundreds of millions of consultations worldwide. But are we actually improving patient care?Dr. Aditi Joshi - practicing ER physician, global telehealth consultant, and co-creator of the Telehealth Success Framework used by health systems worldwide - reveals why volume metrics are masking systematic dysfunction across different countries and healthcare models. Discover:Why measuring "success" wrong is harming patients globallyThe 3 diagnostic questions that expose hidden program failuresReal case study: How a "successful" ER program actually made things worseWhy 21% of seniors can't access video telehealth (and what works instead)Dr. Joshi's 5-pillar framework for programs that actually improve careHer urgent warning: Why AI in healthcare is heading for the same mistakes⚡ Key Insights: "We are building the healthcare systems we already have" - exposing how digital transformation often amplifies existing inequities rather than solving them.Philadelphia ER Case Study: How meeting efficiency metrics can completely miss the actual constraint that matters for patients.Global Learning: What South Korea, the EU, and innovative US programs teach us about building telehealth that works for everyone.📚 Dr. Joshi's Complete Framework: https://amzn.in/d/b0LTNfd - Telehealth Success: How to Thrive in the New Age of Remote CareTimestamps:00:00 - The Scale vs. Outcomes Paradox: Why 344M consultations hide systematic failure06:34 - Beyond Video Calls: What telehealth actually encompasses in 202511:16 - Implementation Reality Check: Why market-driven approaches struggle14:10 - The 5-Pillar Success Framework: Dr. Joshi's proven methodology20:01 - Quality Crisis Exposed: When volume metrics mask care failures23:53 - AI Warning: Don't repeat telehealth's reimbursement-first mistakes27:35 - System Integration Strategy: Making telehealth work within existing infrastructure32:24 - The Global Equity Gap: How digital health amplifies healthcare disparities37:41 - Inclusion Solutions: Phone-first accessibility and demographic design43:40 - Building for Everyone: Design principles for inclusive healthcare systems45:41 - Global Learning Laboratory: What different countries teach us about success50:19 - Founder Mistakes Revealed: Building without clinician input54:03 - Interoperability Imperative: Why data silos make AI dangerous59:14 - Redefining Success: What telehealth victory actually looks like01:04:08 - Future Vision: Patient empowerment and clinician support🎯 Perfect for: Healthcare executives, digital health founders, policy makers, and anyone building or implementing virtual care programs.🔗 Connect with Dr. Joshi: https://www.linkedin.com/in/dr-aditi-joshi/🔔 Subscribe to The Spark & The Forge for analytical healthcare insights that go beyond technology hype to focus on what actually improves patient outcomes.📧 For detailed deep-dive analysis: Email [email protected] for exclusive Substack content with extended research and implementation frameworks.The data is clear. The framework is proven. The choice is yours.DISCLAIMERThis podcast provides educational content about technology, innovation, business strategy, and industry trends for informational purposes only. Nothing discussed constitutes business, financial, technical, or professional advice.Guest opinions are their own and do not represent endorsements by The Spark & The Forge or its host. Business and investment decisions should always be made in consultation with qualified professionals.Data and insights presented are sourced from published research, industry reports, and guest expertise, and reflect information available at time of recording. Statistics and market data may change over time. While we strive for accuracy, listeners should conduct independent research and verify current information before making decisions.Individual results may vary. Past performance does not guarantee future results.

From dreaming of cricket in small-town Andhra pradesh to helping steer India’s global startup ambitions—Murali Bukkapatnam’s journey is full of pivots, purpose, and persistence.In this episode of The Spark & The Forge, Murali shares:Why he nearly became a cricketer in Sydney—and what changed last minuteHow Silicon Valley shaped his mindset as a founder and mentorHis return to India to run operations—and how that evolved into supporting India’s startup ecosystemWhat sets TiE apart: it’s not transactional, it’s transformationalThe overlooked opportunity in Tier 2/3 citiesWhy startup success isn’t just about capital—but lasting value and public goodWhy India’s AI and chip strategy must focus on resilience, not headlines🎙 Founders, tech leaders, investors—this one’s rich with insights.👉 Subscribe for more bold conversations: https://www.youtube.com/@subratakar5510📢 Share this with someone building in or for India.📍 Chapters – E60: Murali Bukkapatnam on India’s Startup Grit & Global Vision00:00 – India’s Startup Revolution: An Overview02:50 – The Role of Mentorship in Entrepreneurship04:17 – Introduction & Background08:18 – Early Life and Education12:09 – Moving to the U.S. and Discovering Entrepreneurship18:06 – Returning to India & Entering TiE22:10 – What TiE Is Really About: Mission & Impact26:23 – Accelerating Startups & Community Building31:11 – Global Perspective & Connecting Ecosystems35:00 – What Is Volksy Technology? Future Vision38:52 – Why Founders Matter More Than Ideas40:17 – Becoming Chair of TiE Global: A Personal Milestone42:15 – India’s Innovation Ecosystem: What’s Changing46:45 – Discovering Entrepreneurial Talent Beyond Metros49:01 – From Services to Product-Driven Innovation50:07 – Fear, Failure & Founder Mindset52:22 – India’s Services Sovereignty: Real Opportunity?56:30 – Building a Services Innovation Ecosystem1:00:32 – Innovation in Tier 2 & Tier 3 Cities1:05:02 – The Future of AI in India1:05:39 – India’s Entrepreneurial Spirit: A Cultural Edge1:07:13 – What Makes an AI Startup Truly Defensible?1:11:16 – Mentorship, Vulnerability & Real Support1:14:51 – The Spark Round 🔥🔒 DisclaimerThe views and opinions expressed in this episode of The Spark & The Forge are those of the guest and host in their personal capacities, and do not reflect the official policy or position of any affiliated organization.This conversation is intended for informational and educational purposes only and should not be interpreted as financial, business, or investment advice.This episode is not sponsored, and there are no paid promotions or endorsements associated with this content.