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Hyperscalers Are Quietly Taking Over Enterprise Tech Spend
Not Representing a Hyperscaler? This Could Be Your Survival Strategy.

:Hey High Stakers,:
Good morning and welcome to the 1st issue of High Stakes!

Hyperscalers are silently rewriting the rules of enterprise tech. Your business model is the battleground, and AI is the weapon of choice. Read on…
The New Power Play in Enterprise IT
Not long ago, IT services firms, B2B SaaS providers, and AI companies controlled their own sales cycles, customer relationships, and technology choices.
Today, those dynamics are shifting—quietly, but fundamentally. AWS, Microsoft, and Google aren't just infrastructure providers anymore. They're shaping the entire enterprise tech ecosystem, including how IT services firms operate, scale, and win deals.
The shift isn't just about cloud dominance. It's about AI-driven automation, marketplace consolidation, and procurement decisions increasingly happening inside hyperscaler ecosystems.
If you're an IT services leader, SaaS founder, or AI firm executive, this isn't just a technology trend—it's a fundamental change in how you acquire customers, maintain margins, and differentiate against hyperscaler-native competitors.

The New Playbook: What's Changing?
✔ Enterprise IT Consolidation into Hyperscaler-Native Ecosystems Companies don't just choose a cloud provider; they get locked into its AI tools, security stack, and marketplace. AI-powered automation accelerates this shift.
✔ SaaS and IT Services Firms Are Becoming Hyperscaler-Dependent by Default If you sell through cloud marketplaces, you're paying 10–30% in commissions and losing direct customer relationships. The AI layer is further embedding enterprises into these ecosystems.
✔ AI-Enhanced Services from Hyperscalers Are Undercutting Mid-Market Providers Features like automated data pipelines, LLM-based support, and cloud-native cybersecurity mean that mid-sized services firms are forced to either build on top of hyperscaler AI—or compete against it.
✔ AI Is Becoming a Procurement Filter Enterprise buyers increasingly evaluate vendors based on their AI capabilities. The problem? If you're using a hyperscaler's AI, what stops customers from bypassing you and going directly to AWS, Microsoft, or Google?

Real-World Examples: Winners & Losers in This New Era
-✔ Winner: Snowflake vs. All Hyperscalers-
Snowflake scaled on AWS but maintained flexibility across Azure and Google Cloud, avoiding deep lock-in while leveraging cloud scale. Its AI-enhanced analytics provided differentiation that hyperscalers didn't fully own.
-❌ Loser: Elastic vs. AWS Only-
Elastic, the company behind Elasticsearch, learned the hard way what happens when a hyperscaler copies your product and gives it away as part of its ecosystem. Today, hyperscalers' AI-driven search and analytics further erode differentiation for companies that don't own unique value beyond infrastructure.

What This Means for You—And How to Stay in Control
Hyperscalers aren't just hosting your workloads—they're rewiring enterprise tech's buying and selling dynamics.
The real question: Where do you stand in this ecosystem—and how do you play to win?
🔴 Enterprise Buyers (CIOs, Digital Transformation, Procurement Leaders)
• AI-first vendors aren’t always the best bet. Every vendor now touts AI—dig deeper. Are they building real differentiation, or just reselling AWS, Microsoft, or Google AI with a new UI?
• Watch for silent lock-in via ‘enterprise credits.’ Hyperscaler incentives look great—until renewals hit. If 70% of your spend is tied to one cloud’s AI and security stack, negotiating leverage evaporates.
• Multi-cloud isn’t just a buzzword—it’s bargaining power. Even if you standardize on one hyperscaler, having secondary workloads elsewhere forces better pricing and prevents over-reliance on a single ecosystem.
• Scrutinize ‘marketplace efficiency’ claims. Buying through cloud marketplaces seems faster—but does it cut vendor competition?
🟢 IT Services Leaders (SIs, MSPs, Consultancies)
• Partnering with hyperscalers isn't optional—but risky. Can you build AI services that add value beyond what AWS, Azure, and GCP already provide?
• Cloud marketplaces reduce friction—but at what cost? If AWS owns billing, renewals, and procurement, are you just a vendor in their ecosystem?
• AI-driven vendor selection is making differentiation harder. If your AI is just a hyperscaler add-on, what stops customers from cutting you out?
🟠 SaaS & AI Product Founders
• Your AI can't be a hyperscaler hand-me-down. If your product is AWS Bedrock + a UI, you're a feature, not a company. Build proprietary data moats or unique workflows.
• Marketplaces are lead-gen, not a GTM strategy. Yes, they speed up sales, but if AWS owns your customer, what's your long-term play? Bake in direct onboarding paths.
• Multi-cloud is survival, not a luxury. Snowflake played across AWS, Azure, and GCP—and thrived. If your architecture is locked to one ecosystem, your valuation is tied to a partner that might replicate you tomorrow.
🔵 GTM & Revenue Leaders (CROs, Sales & Alliances Heads)
• Stop selling 'AI'—sell outcomes. Enterprise buyers tune out AI buzzwords. Instead of "AI for finance," pitch:
"We automate 80% of your CFO's compliance workload."
"Our model reduces semiconductor forecasting errors by 30%."
• Audit your hyperscaler dependencies. If 80% of your pipeline depends on AWS credits, what happens when Microsoft undercuts them? Have contingency plans.
• Bypass procurement's AI obsession. Engineers care about benchmarks; CFOs care about cost. Frame your pitch as both:
"30% faster than in-house LLMs."
"20% cheaper than hiring five more data engineers."
⚫ Thought Leaders & Industry Voices (Analysts, Influencers, Consultants)
• Warn about silent lock-in. When hyperscalers push the "open ecosystem" story, counter with: "60% of AWS Marketplace buyers never visit the vendor's site post-purchase." (Hypothetical, but directionally true.)
• Turn hyperscaler updates into thought leadership. Did Google Cloud just launch an AI tool? Publish '5 Hidden Risks' or 'How to Extend This for Healthcare.' Ride their marketing while differentiating your take.
• Host ecosystem-agnostic roundtables. Get AWS, Snowflake, and CIOs in a room to debate data governance. It builds credibility—and gives you content gold.

📌 One Actionable Nudge Today
✅ Quietly audit your last 10 deals. How many depended on hyperscaler credits or marketplaces?
➡️ If over 50%, block time next week to brainstorm alternate GTM paths.

The Takeaway: Adapt or Get Locked Out
Enterprise IT is evolving quietly—favoring those who control infrastructure, AI, and distribution.
💡 The firms that win in the next decade will use the rules of this new game to their advantage.
📩 What's your strategy for navigating the hyperscaler-driven future? Reply and share your take.
(Podcast recco for the commute: "Acquired"—their AWS and Microsoft deep dives reveal how hyperscalers think about ecosystem capture.)-
Best,
Srini
P.S. If this sparked ideas about navigating the hyperscaler ecosystem, share it with your team. The insights could reshape your 2025 go-to-market strategy.
Coming up next week: How Indian SIs are being left behind in the $1.3T enterprise AI revolution.