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r/stocksr/stocks· u/theunknown996· 5d agoCompany Analysis 0

The next AI Trade - Enterprise AI Cost Control (Massive Potential for Re-Rating)

Investor summaryBullish

Bullish on ESTC and NTNX as undervalued plays on enterprise AI cost control via RAG optimization and on-prem hybrid infrastructure.

Bull points
  • Elastic (ESTC) offers a valuation discount (~3.5x EV/Sales) compared to peers like Datadog, with strong FCF margins and a critical role in optimizing AI token costs via RAG.
  • Nutanix (NTNX) benefits from the trend of companies shifting to on-premise/hybrid AI infrastructure to reduce public cloud computing expenses, boasting high profit margins.
  • The market has not yet fully priced in the 'AI cost control' narrative, presenting an asymmetric risk-reward opportunity for these secondary AI trades.
Bear points
  • The thesis relies heavily on anecdotal evidence rather than concrete data showing widespread adoption of these specific cost-saving measures.
  • Competition in observability and hybrid cloud management is intense, with larger players potentially overshadowing ESTC and NTNX.
  • Valuation multiples could remain compressed if the broader market continues to favor large-cap AI leaders over niche infrastructure providers.
ESTCNTNXDDOGAI 资本开支
Post body

Do you ever wish you got into some of the seemingly boring/dying companies before their massive rerating? Well I got two names for you.

These are two asymmetric risk reward plays on the rising AI cost issue. I have a feeling this will be the next biggest AI talking point and it's just starting now. Anecdotally people are already saying this but it hasnt been fully reflected in the market yet, at least not for secondary trades.

There are many names in this space but the big and obvious names have already seen a huge run. These have not.

  1. Elastic(ESTC): Right now, companies are paying an absolute fortune to access AI models, but they can slash those bills by using a smart filter with Elastic. Instead of sending an entire mountain of disorganized data and paying a massive fee for every single token, Elastic uses a process called RAG (Retrieval-Augmented Generation) to pinpoint and send only the exact information needed. Even though it's a critical tool for making AI affordable, The street still mistakenly prices Elastic like an old, boring search software, making its stock incredibly cheap compared to its potential value. It trades at a discounted \~3.5x EV/Sales with near 20% FCF margins, offering massive multiple expansion upside. Don't pay nosebleed prices for Cloudfare or Datadog for model routing and observability to save AI costs. Go with the Elastic angle instead for cheap.
  1. Nutanix(NTNX): Because paying for public AI computing is getting so expensive, many businesses are just starting to build their own on-premise/hybrid AI with open weight models so they eliminate their AI bills, and Nutanix provides the essential software to run them. Nutanix is the underlying operating system that allows a company to easily manage its own physical servers just like they would a cloud service, generating 88% profit margins in the process. By investing in Nutanix, you get to profit from the massive wave of companies buying new hardware without getting stuck owning the low-profit companies that actually manufacture the metal parts. It trades at \~4.5x EV/Sales and roughly 16x FCF, so it has a lot of room to rerate. Don't pay for Dell/HPE after their huge run. Nutanix is the natural next leg without the risk of becoming a bagholder.

Y'all agree?

Discussion · top comments11 selected
u/pyktrauma 28· 5d ago

What you wrote about Elastic makes no sense. I work in software

u/NoobHostRemakePls 14· 5d ago

Thats because OP is slopping with AI

u/Ok-Recommendation925 2· 5d ago

Any alternatives?

u/medoban 3· 5d ago

open search by aws

u/Constant_Tomorrow_69 1· 5d ago

Onyx is a free open source RAG that you can plug any model into

u/theunknown996 -7· 5d ago

Feel free to elaborate. The retrieval layer could help improve accuracy and lower token costs. What’s the issue?

u/Ill-Panic-4533 13· 5d ago

As someone intimately knowledgeable on both of these companies I am convinced that you have no clue what either of them do…..that being said they are both solid picks.

u/theunknown996 -3· 5d ago

Please educate me then. Where’s the thesis lacking. It’s possible I’m reaching too far to connect them to an AI play but I don’t see how they’re not relevant. At minimum a tailwind for them. Low risk high reward.

u/YourChildhood5762 5· 5d ago

10 days ago...

Elastic Earnings release: Q4 2026

9 days ago...

  • Elastic price target raised to $70 from $60 at BofA
  • Elastic price target raised to $55 from $50 at Goldman Sachs
  • Elastic price target raised to $104 from $95 at Citi
  • Elastic price target lowered to $58 from $61 at Scotiabank
  • Elastic price target lowered to $55 from $60 at TD Cowen
  • Elastic price target lowered to $68 from $76 at Barclays
  • Elastic price target lowered to $65 from $74 at Wedbush
  • Elastic price target lowered to $85 from $95 at UBS
  • Elastic price target lowered to $75 from $85 at Oppenheimer
  • Elastic price target lowered to $65 from $75 at Stifel
  • Elastic price target lowered to $80 from $90 at Canaccord
  • Elastic price target lowered to $72 from $92 at Baird
  • Elastic price target lowered to $75 from $95 at Jefferies
u/Select-Leading-4542 5· 5d ago

Absolutely. After the initial hype around pure play hardware producers, the second wave technological "pick and shovel" plays often offer the best opportunities

u/ChangeNOW_Community 1· 5d ago

AI cost control will definitely be a theme

the only debate is timing vs positioning vs valuation entry point