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Market

Chips, capital, and infrastructure economics: the layer under everything. GPU supply, hyperscaler spending, and AI cost structures flow directly into what cloud AI costs to resell and run. When this beat moves, every AI invoice eventually moves with it.

Market · 2 stories this edition Ed. 001
Market

Forbes · Jul 2

AI costs more than the people it replaced

Uber burned its entire 2026 AI coding budget in four months after 84 percent of its engineers adopted AI tools, and Microsoft ordered a division off an AI coding assistant over untenable bills. An MIT study cited in the piece finds AI automation is cheaper than the humans it replaces in only about 23 percent of roles.

▸ The MSP Angle

Why are AI costs blowing past budgets, and how do you stop it?

Runaway AI spend just became a documented enterprise problem, and SMBs will repeat it at smaller scale with far less cushion. Usage budgets, spend caps, and per-tool visibility are a sellable managed service right now. The MSPs who meter AI before the first blowout invoice will look prescient; the ones who don't will be explaining the bill.

Read at Forbes ↗
Market

Reuters via Yahoo Finance · Jul 7

Nvidia dips on report DeepSeek is building its own AI chip

Nvidia shares slipped after Reuters reported DeepSeek is designing an in-house AI chip to reduce reliance on Nvidia and Huawei hardware, the same week Nvidia denied that its next-generation platform had slipped to 2028.

▸ The MSP Angle

What does more AI chip competition mean for infrastructure costs?

GPU supply and pricing flow straight into the cost of the cloud AI infrastructure you resell. More chip competition generally means cheaper inference over time, which is good news for anyone building AI services on top of someone else's silicon.

Read at Reuters via Yahoo Finance ↗
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