AI investment surpasses cybersecurity spending
AI has become the number one investment line item in company priorities, overtaking cybersecurity.
Snapshot · The MongoDB Podcast
Don't Build Your Own AI (Unless You Have To)
Explore episode
Mar 6, 2026
Where this was said
Build vs Buy: The 4-Factor Framework for Enterprise AI
At 20:05 · chapter starts 16:40
The build-vs-buy debate, Akshaya notes, is not new — he watched the same argument play out with SAP and Oracle ERP systems two decades ago, and enterprises eventually concluded that keeping up with the resulting tech debt was untenable. The same calculus is now playing out with AI, but under enormous time pressure as CFOs chase ROI proof for their investors. Akshaya structures the decision around four factors. Time to market and speed to impact: can you afford the months or years it takes to build from scratch when an off-the-shelf system can be online in one to two weeks? Total cost of ownership: the CapEx of a custom build almost always makes integration look attractive in the near term. Talent scarcity: the pool of AI engineers who can build systems at scale is tiny, and Stanford or Berkeley graduates in this space command $500K or more per year. [1] — Akshaya Murthy "AI experts: ~500K/year minimum salary: Hiring a single AI expert capable of building systems at scale costs at least $500K per year and is …" 17:11 Security and compliance: not every company has the expertise to build enterprise-grade security into a new product, and every AI vendor now ships with enterprise-grade privacy and GDPR compliance as table stakes. For most enterprises, integration wins on all four counts — and it frees up scarce development bandwidth to focus on building only what truly needs to be custom.
AI experts: ~500K/year minimum salary
Hiring a single AI expert capable of building systems at scale costs at least $500K per year and is rising as the talent wars heat up.
Model refresh cadence now weekly or daily
AI model updates are happening on a weekly basis from commercial providers and on a daily basis on platforms like Hugging Face for open-source models.
The Commoditisation of AI Is Already Happening
The gap between commercial LLMs and open-source alternatives is closing fast. OpenAI charges ~$2 per million tokens; Llama gets you there for fractions of a cent. The endgame looks like internet pricing — you'll pay for a utility, not per megabyte.
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