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
What if policy uncertainty was no longer part of your GCC or cloud strategy?
Budget 2026 quietly removes three friction points:
- Classification ambiguity
- Approval unpredictability
- Long-term tax risk
The result? India positioning itself as a globally competitive, policy-stable hub for GCCs and cloud services.
We’re break down what leaders need to know.
AI has officially moved into its own pricing tier and HEX Index® data makes it clear why.
Our analysis shows AI skills are no longer bundled with traditional or niche IT capabilities. From NLP to MLOps, AI now commands a distinct premium due to its direct linkage to revenue, efficiency, and decision automation.
HEX Index® continues to track how skill economics are reshaping modern pricing models—and AI sits firmly at the top.
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?
Blind RFPs were built for a different era when IT, BPO, and captive models were new, terminology was fuzzy, and target baselines didn’t exist.
For mature sourcing decisions, forcing every need through a blind RFP produces predictable tripe:
✔ Comparable responses
✖ Differentiated thinking
✖ Context-aware solutions
True sourcing maturity is knowing WHEN NOT TO to default to traditional RFP motions.
