To The Moon

$Meta Platforms, Inc.(META)$ has become one of the biggest spenders in the artificial intelligence race. But a new warning from S&P Global Ratings raises an important question: how much investment can a company make before its AI ambitions begin to put pressure on its financial strength?

On October 30, S&P Global revised its outlook on Meta from stable to negative, citing uncertainty around its rapidly increasing capital expenditure and future free operating cash flow.

This is particularly significant because Meta has historically been a cash-generating advertising business. Its Facebook, Instagram and WhatsApp platforms reach billions of people, creating a substantial revenue base to fund new investments.

However, the economics of the business are changing as Meta commits enormous resources to AI infrastructure.

1. The scale of Meta’s AI spending is becoming difficult to ignore

Meta expects capital expenditure of $135 billion to $145 billion in 2026.

That is an extraordinary investment budget, particularly when compared with the company’s previous spending levels.

The money is going towards data centres, advanced chips, computing infrastructure and the technology required to develop and operate increasingly sophisticated AI models.

Mark Zuckerberg clearly believes AI will be central to Meta’s future competitiveness.

The strategic argument makes sense. AI can improve advertising recommendations, increase user engagement, make content discovery more effective and create new products and services.

But the financial question is whether these benefits will eventually generate enough additional revenue to justify the investment.

Building AI infrastructure is expensive. Maintaining it is expensive too. The returns need to be substantial and sustainable.

2. Free cash flow is becoming the biggest concern

The most important figure in this story is arguably not revenue or earnings. It is free cash flow.

Meta reported negative free cash flow of $2.12 billion in Q3 2026, compared with positive free cash flow a year earlier.

The company generated $32.79 billion in operating cash flow, but capital expenditure, including finance lease principal payments, reached $34.91 billion.

In other words, the business generated substantial cash from its operations, but its investment spending exceeded that amount.

S&P’s projections are even more concerning.

The ratings agency forecasts free operating cash flow deficits of:

• $39 billion in 2026.

• $71 billion in 2027.

It also believes negative cash flow could continue beyond 2028 if spending remains elevated.

This does not mean Meta is running out of money. The company reported $82.45 billion in cash, cash equivalents and marketable securities at the end of September.

However, the direction of cash flow matters. A business that historically generated substantial surplus cash may need to rely more heavily on borrowing if investment spending continues to rise faster than operating cash generation.

3. Why S&P is concerned about Meta’s credit outlook

S&P’s decision is not an immediate downgrade of Meta’s credit rating. It is a revision of the outlook from stable to negative.

The distinction matters.

A negative outlook indicates that the agency sees increased risks that could lead to a future rating downgrade if financial conditions deteriorate.

S&P believes Meta’s adjusted leverage could rise above 1.0x as early as 2027, reaching the agency’s threshold for its AA- issuer credit rating.

Meta reported long-term debt of $80.92 billion at September 30.

The concern is not simply the amount of debt today. It is how much additional financing may be required if the company continues spending heavily while free cash flow remains negative.

S&P also expects Meta may need to fund its projected 2028 cash shortfall entirely through debt.

That would represent a meaningful change in the company’s financial profile.

4. Meta’s biggest challenge may be monetising AI

There is an important difference between Meta and some of its Big Tech competitors.

$Microsoft(MSFT)$ ,$Amazon.com(AMZN)$ and $Alphabet(GOOG)$  have substantial cloud businesses that can directly sell AI computing capacity, infrastructure and services to enterprise customers.

Meta’s business model is different.

Its main revenue engine remains digital advertising. AI can improve the effectiveness of its advertising platform, but the company needs to demonstrate that these improvements can generate enough incremental revenue to offset the enormous cost of developing and operating AI infrastructure.

There are already positive signs.

Meta’s Q3 revenue increased 26% year over year to $64.6 billion. Advertising impressions increased 10%, while the average price per advertisement rose 14%.

This suggests that its core advertising business remains strong and that AI-driven improvements may already be helping monetisation.

However, S&P questions whether Meta’s AI investments will generate material revenue contributions that exceed their rising costs over the next few years.

That is the central issue investors need to monitor.

Meta disagrees with S&P’s assessment, saying it sees significant product and business opportunities ahead and remains confident in its credit profile.

Both sides have a reasonable argument: Meta is investing for future growth, while S&P is highlighting the financial risks if those returns take longer than expected.

5. Meta is not the only company facing pressure

This development is part of a broader reassessment of the financial risks associated with the AI investment cycle.

S&P also revised Broadcom’s outlook from positive to stable, citing increasing exposure to a relatively small number of large AI customers.

Oracle has faced credit-rating pressure because of its heavily leveraged investment strategy.

These developments highlight a wider issue across the technology sector.

The AI opportunity may be enormous, but the companies building the infrastructure are taking on significant financial commitments before the full economic returns are known.

Investors need to look beyond revenue growth and examine how companies are financing their expansion.

6. What I would watch next

For Meta, I would focus on four indicators:

Free cash flow: Can Meta return to positive free cash flow as its AI infrastructure comes online, or will deficits continue to widen?

Advertising monetisation: Can AI continue improving ad impressions, pricing and conversion rates enough to support the investment programme?

Capital expenditure: Will management eventually moderate spending, or will the AI race require even larger budgets?

Debt and leverage: How much additional borrowing will be needed if internal cash generation cannot cover investment requirements?

These measures will help determine whether Meta’s AI strategy is creating long-term value or putting too much pressure on its balance sheet.

My takeaway

I don’t think Meta’s investment case has suddenly fallen apart.

Its advertising business remains powerful, revenue is growing strongly, and AI has the potential to improve its products and monetisation over time.

However, I think investors need to recognise that the financial profile of the company is changing.

Meta is moving from a business that historically generated substantial excess cash into one that is committing an extraordinary amount of capital to an uncertain future return.

The risk is not necessarily that AI fails. It is that the cost of competing in AI becomes so high that even successful products take years to generate an attractive return on investment.

For me, the key question is no longer how much Meta is spending on AI. It is how quickly that spending can translate into incremental revenue, sustainable free cash flow and stronger returns on invested capital.

The AI race may be about technological leadership, but the investment race will ultimately be decided by financial returns.

For discussion purposes only, not financial advice.