The growth equation is being redefined.
AI is enabling revenue expansion without proportional headcount growth.
The real shift? Operating models built for productivity at scale.
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- Advisory Market Lens
- AI
- Benchmarking
- BOT
- COLA
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AI moved forward. Again.
Here’s Part 2 so you don’t get left mid-conversation.
AI has a language now. And it moves fast. If you’re still calling it “the AI thing” in board meetings, this post is your intervention. Here’s the cheat sheet you didn’t know you needed.
The largest agentic AI code leak in history. And the proof that in AI, the only moat is speed.
For years enterprise AI meant one thing.
Use the biggest model available.
That thinking is already outdated.
The next wave of enterprise AI will be built on right-sized models for the right tasks, not GPT-level firepower for everything.
The real shift is not bigger AI.
It is smarter deployment.
Swipe to see what CXOs should actually care about.
#EnterpriseAI #AILeadership #DigitalTransformation #FutureOfWork
Analysts will sell you a trend report on AI regulation. Consultants will bill you for a “readiness assessment.”
We built you a ONE-PAGE cheat-sheet ranked High to Low. because CXOs don’t have time for 80-slide decks on things that matter NOW.
The US and India, the world’s two largest democracies sit at the BOTTOM of global AI regulation readiness. That’s not a prediction, it’s a fact.
Brought to you by HEX’s Str[AI]ght Talk. Because we don’t research trends. We manage ’em.
Source: LinkedIn
If you can’t control the Tiger you’re riding, then you are NOT a leader. You’re simply a casualty in motion.
Without AI Regulation and AI Audit, AI risks becoming a military-grade intervention issue within a decade. US’ intervention penchant notwithstanding, America cannot claim AI Leadership while lacking a unified federal statute, coherent framework, or even baseline audit standards esp. relative to EU, China, South Korea, and Singapore.
Source: LinkedIn
January 12, 2026 was an extinction-level event for Enterprise Software. Software is being disintermediated by the very AI tools it helped create.
The launch of Claude Cowork, built 80%+ (some say 100%, but that’s eyewash) using Anthropic’s Claude Code in a 10-day sprint, didn’t just shock the market, it confirmed what investors had begun pricing in. (My own legacy software stock portfolio is down ~30% in just two trading cycles since.)
When AI agents can build software autonomously, run workflows, and execute processes end-to-end, the VALUE EQUATION FLIPS IMMEDIATELY. If the marginal corporate dollar flows directly to AI instead of software licenses or labor, capital markets follow the same logic.
That’s why we’re seeing the unprecedented inversion: Investors are paying premium multiples for chips, traditionally considered asset-heavy, cyclical, supply-chain-exposed businesses, OVER software once prized for sticky, high-margin recurring revenue. That’s NOT noise, it’s a signal of the end to come for legacy software and software development service providers will see a significant runoff too. This 10-day sprint also signals roughly 70–90% REDUCTION in traditional human coding man-hours. If that’s not a Tsunami of revenue depletion for global software providers and Indian legacy providers, then nothing is.
In an Agentic AI world, enterprise software moats are thinner, UI/UX is redundant, switching costs weaker, and differentiation harder to defend. The winners won’t be the loudest SaaS brands of the past. They’ll be the ones embedded in AI-native workflows, outcomes, and economics. Remaining outfits? Well, they won’t remain as they’re about to learn what “recurring” really means when the stack gets rewritten.
“Behind your tunnel vision, reality fades like shadows into the night.” Ring a (division) bell?
Hype fades. Reality delivers. Stay tuned to HEX Perspectives that keep enterprises grounded in results, not buzzwords.
Source: LinkedIn
Gen AI is the buzz. Agentic AI is the business. One writes, the other acts. Which one is powering your enterprise?
HEX simplifies this difference through this CXO Cheat sheet.4
Source: LinkedIn
Cognitive automation isn’t the future, It’s the now (thanks to AI)
If your workflows still wait for instructions, they’re already obsolete.
Source: LinkedIn
-
Categories
- Advisory Market Lens
- AI
- Benchmarking
- BOT
- COLA
- Contract HealthCheck
- Cost & Run Optimization
- Digital Workplace Services
- F&A
- Field Services
- GCC
- GenAI
- Governance
- Healthcare
- HEX Index
- HRO
- L&D Advisory
- Managed Services
- Network
- Outcome based Pricing
- Outsourcing
- Perspectives
- Pricing Models
- Procurement
- RFP
- Security
- Service Desk
- Service Levels
- Str[AI]ghtTalk
- WAN
The growth equation is being redefined.
AI is enabling revenue expansion without proportional headcount growth.
The real shift? Operating models built for productivity at scale.
AI moved forward. Again.
Here’s Part 2 so you don’t get left mid-conversation.
AI has a language now. And it moves fast. If you’re still calling it “the AI thing” in board meetings, this post is your intervention. Here’s the cheat sheet you didn’t know you needed.
AI is no longer just about innovation. It is about sovereignty.
Nations have recognised this and the shift is already underway.
The real risk is not just falling behind.
It is building on systems shaped by external worldview.
#AISovereignty #ArtificialIntelligence #DataSovereignty #FutureOfAI
Nations have recognised this and the shift is already underway.
The real risk is not just falling behind.
It is building on systems shaped by external worldview.
#AISovereignty #ArtificialIntelligence #DataSovereignty #FutureOfAI
The largest agentic AI code leak in history. And the proof that in AI, the only moat is speed.
For years enterprise AI meant one thing.
Use the biggest model available.
That thinking is already outdated.
The next wave of enterprise AI will be built on right-sized models for the right tasks, not GPT-level firepower for everything.
The real shift is not bigger AI.
It is smarter deployment.
Swipe to see what CXOs should actually care about.
#EnterpriseAI #AILeadership #DigitalTransformation #FutureOfWork
Analysts will sell you a trend report on AI regulation. Consultants will bill you for a “readiness assessment.”
We built you a ONE-PAGE cheat-sheet ranked High to Low. because CXOs don’t have time for 80-slide decks on things that matter NOW.
The US and India, the world’s two largest democracies sit at the BOTTOM of global AI regulation readiness. That’s not a prediction, it’s a fact.
Brought to you by HEX’s Str[AI]ght Talk. Because we don’t research trends. We manage ’em.
Source: LinkedIn
If you can’t control the Tiger you’re riding, then you are NOT a leader. You’re simply a casualty in motion.
Without AI Regulation and AI Audit, AI risks becoming a military-grade intervention issue within a decade. US’ intervention penchant notwithstanding, America cannot claim AI Leadership while lacking a unified federal statute, coherent framework, or even baseline audit standards esp. relative to EU, China, South Korea, and Singapore.
Source: LinkedIn
January 12, 2026 was an extinction-level event for Enterprise Software. Software is being disintermediated by the very AI tools it helped create.
The launch of Claude Cowork, built 80%+ (some say 100%, but that’s eyewash) using Anthropic’s Claude Code in a 10-day sprint, didn’t just shock the market, it confirmed what investors had begun pricing in. (My own legacy software stock portfolio is down ~30% in just two trading cycles since.)
When AI agents can build software autonomously, run workflows, and execute processes end-to-end, the VALUE EQUATION FLIPS IMMEDIATELY. If the marginal corporate dollar flows directly to AI instead of software licenses or labor, capital markets follow the same logic.
That’s why we’re seeing the unprecedented inversion: Investors are paying premium multiples for chips, traditionally considered asset-heavy, cyclical, supply-chain-exposed businesses, OVER software once prized for sticky, high-margin recurring revenue. That’s NOT noise, it’s a signal of the end to come for legacy software and software development service providers will see a significant runoff too. This 10-day sprint also signals roughly 70–90% REDUCTION in traditional human coding man-hours. If that’s not a Tsunami of revenue depletion for global software providers and Indian legacy providers, then nothing is.
In an Agentic AI world, enterprise software moats are thinner, UI/UX is redundant, switching costs weaker, and differentiation harder to defend. The winners won’t be the loudest SaaS brands of the past. They’ll be the ones embedded in AI-native workflows, outcomes, and economics. Remaining outfits? Well, they won’t remain as they’re about to learn what “recurring” really means when the stack gets rewritten.
“Behind your tunnel vision, reality fades like shadows into the night.” Ring a (division) bell?
1 2
Nations have recognised this and the shift is already underway.
The real risk is not just falling behind.
It is building on systems shaped by external worldview.
#AISovereignty #ArtificialIntelligence #DataSovereignty #FutureOfAI