Research from Water Tower Research, Water Tower Research

Water Tower Research

Research from Water Tower Research

Water Tower Research is a leading equity research firm that provides research on micro, small and mid cap companies.

Water Tower Research was founded by Wall Street veterans after witnessing a fundamental shift in the investment research industry with the result being a declining knowledge base among investors, a lack of awareness and a shrinking pool of fundamental research being conducted on companies across the small-cap and micro-cap spectrum. The same issues are now increasingly occurring in the mid-cap space. This sea change within the investment community is impacting not only the companies themselves but also current shareholders and potential investors. With significantly less active sell-side sponsorship by Wall Street, a substantial information gap has developed between companies and various constituents in the financial community. The net result is fewer channels for insight and information to flow between companies and investors.

Equity Research Firm

Thematic (Sector/Industry)

<div><ul><li>Our industry cash flow forecasts improved modestly, driven by revenue, but the buildout still burns cash through the end of the decade.</li><li>Adjusted 2030 free cash flow is -$59B, against -$106B in the version we published on September 21.</li><li>Revenue covers 0.94x of 2030 capex, up from 0.89x, and 0.77x on a cumulative basis, up from 0.71x.</li></ul></div>

Our industry cash flow forecasts improved modestly, driven by revenue, but the buildout still burns cash through the end of the decade.Adjusted 2030 free cash flow is -$59B, against -$106B in the version we published on September 21.Revenue covers 0.94x of 2030 capex, up from 0.89x, and 0.77x on a cumulative basis, up from 0.71x.

AI Flow Industry Model : Tracking the Capex Flood and Revenue Streams - 6 October 2026

<div><ul><li>The model tests the economics of the AI buildout. It maps spending from power and capex through clouds to end-market revenue, anchored on FactSet consensus for hyperscaler capex and cloud revenue while our assumptions for AI allocation, utilization, pricing and demand, and modeled intercompany transfers are eliminated.</li><li>Over time, we expect to use this model as a framework for evaluating new data points on capex, AI services revenue, and token pricing/consumption.</li><li>The buildout stays cash flow negative through 2030. AI capex rises from $824B in 2026 to $1.76T in 2030 ($6.7T cumulative) versus revenue of $306B and $1.56T. Cloud FCF is negative $530B and $588B, including assumed internal use benefits; infrastructure vendors generate $258B and $628B.</li></ul></div>

The model tests the economics of the AI buildout. It maps spending from power and capex through clouds to end-market revenue, anchored on FactSet consensus for hyperscaler capex and cloud revenue while our assumptions for AI allocation, utilization, pricing and demand, and modeled intercompany transfers are eliminated.Over time, we expect to use this model as a framework for evaluating new data points on capex, AI services revenue, and token pricing/consumption.The buildout stays cash flow negative through 2030. AI capex rises from $824B in 2026 to $1.76T in 2030 ($6.7T cumulative) versus revenue of $306B and $1.56T. Cloud FCF is negative $530B and $588B, including assumed internal use benefits; infrastructure vendors generate $258B and $628B.

AI Flow Industry Model : Tracking the Capex Flood and Revenue Streams

<div><ul><li>The WTR AI Flow Newsletter highlights recent developments in AI and quantum.</li><li>In the AI Flood Watch (Top 10 Format), we curate the period’s top AI and quantum news items, classify them as Rising, Neutral, or Falling, and provide takeaways.</li><li>This issue features nine Rising, zero Neutral, and one Falling stories.</li></ul></div>

The WTR AI Flow Newsletter highlights recent developments in AI and quantum.In the AI Flood Watch (Top 10 Format), we curate the period’s top AI and quantum news items, classify them as Rising, Neutral, or Falling, and provide takeaways.This issue features nine Rising, zero Neutral, and one Falling stories.

AI Flow Newsletter : Monitoring The "Currents" Of AI - July 7, 2026

<ul><li>This month’s AI landscape reveals a market at an inflection point, with record infrastructure commitments colliding with growing bubble anxiety. </li><li>Meta’s staggering $600-billion US buildout plan and Anthropic’s $50-billion data center announcements underscore that the compute arms race is accelerating, not cooling.</li><li>Yet caution signals are flashing, as CoreWeave trimmed its full-year guidance despite strong 3Q results, while Nvidia, CoreWeave, and Nebius Group all saw pressure on their stocks. </li></ul>

This month’s AI landscape reveals a market at an inflection point, with record infrastructure commitments colliding with growing bubble anxiety. Meta’s staggering $600-billion US buildout plan and Anthropic’s $50-billion data center announcements underscore that the compute arms race is accelerating, not cooling.Yet caution signals are flashing, as CoreWeave trimmed its full-year guidance despite strong 3Q results, while Nvidia, CoreWeave, and Nebius Group all saw pressure on their stocks. 

AI Flow Newsletter : Monitoring The "Currents" Of AI

<ul><li>Setting up to be a crucial quarter for the major cloud infrastructure providers and broader tech as investors focus on the cost/benefits of AI.</li><li>Over the last decade, AMZN, MSFT, and GOOGL have garnered outsized investor attention, in part due to their size, but equally due to each of their rapidly growing tech infrastructure businesses (AWS, Azure, and GCP, respectively).</li><li>Based on the capex commentary from all three exiting the December quarter, investors are hoping for early signs of business AI traction, but also bracing for greater clarity around the costs.</li></ul>

Setting up to be a crucial quarter for the major cloud infrastructure providers and broader tech as investors focus on the cost/benefits of AI.Over the last decade, AMZN, MSFT, and GOOGL have garnered outsized investor attention, in part due to their size, but equally due to each of their rapidly growing tech infrastructure businesses (AWS, Azure, and GCP, respectively).Based on the capex commentary from all three exiting the December quarter, investors are hoping for early signs of business AI traction, but also bracing for greater clarity around the costs.

Cloud Infrastructure Monitor - Upcoming Earnings Season Marks a Crucial Point for Sector and AI

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AI Flow Industry Model : Tracking the Capex Flood and Revenue Streams - 6 October 2026

Our industry cash flow forecasts improved modestly, driven by revenue, but the buildout still burns cash through the end of the decade.

Water Tower Research

AI Flow Industry Model : Tracking the Capex Flood and Revenue Streams

Over time, we expect to use this model as a framework for evaluating new data points on capex, AI services revenue, and token pricing/consumption.

Water Tower Research

AI Flow Newsletter : Monitoring The "Currents" Of AI - July 7, 2026

In the AI Flood Watch (Top 10 Format), we curate the period’s top AI and quantum news items, classify them as Rising, Neutral, or Falling, and...

Water Tower Research

AI Flow Newsletter : Monitoring The "Currents" Of AI

This month’s AI landscape reveals a market at an inflection point, with record infrastructure commitments colliding with growing bubble anxiety.

Water Tower Research

Cloud Infrastructure Monitor - Upcoming Earnings Season Marks a Crucial Point for Sector and AI

Setting up to be a crucial quarter for the major cloud infrastructure providers and broader tech as investors focus on the cost/benefits of AI.

Water Tower Research