Technology stocks are trying to recover from a bruising week, but investors increasingly want evidence that massive AI investments can produce sustainable profits.

Wall Street is beginning Monday with renewed optimism toward artificial intelligence stocks, but the rebound faces a critical test: whether the industry's enormous investment commitments can eventually deliver enough revenue and cash flow to justify their cost.

U.S. stock futures pointed higher before the opening bell, with Nasdaq futures advancing approximately 1.1% to 1.2% in early reports. S&P 500 futures were up roughly 0.6% to 0.7%, while Nvidia gained more than 2% in premarket trading in one reported snapshot. The recovery follows a difficult week for technology investors, when the Nasdaq Composite fell 4.5% and the Philadelphia Semiconductor Index plunged 11.4%.

The latest weakness goes beyond concerns about expensive stock valuations. Investors are questioning the financing behind the AI buildout and the time required to earn a return on data centers, computing equipment and related infrastructure.

The bond market is providing an important warning. CoreWeave's debt came under significant pressure last week, with yields on some bonds climbing toward 15%. That suggests creditors are demanding greater compensation for the risks associated with debt-funded infrastructure expansion. The concern is not proof that demand for AI computing has disappeared; it is that construction costs, borrowing expenses and the timing of future revenues may leave less room for error.

Investors will focus on a series of corporate earnings announcements. Netflix is scheduled to report Tuesday, while Meta Platforms and Tesla are among the major companies expected to report Wednesday. Results from chip-equipment and industrial technology companies will provide additional clues about spending across the sector.

Meta deserves particular attention. The company has indicated 2026 capital expenditure of approximately $130 billion to $145 billion. Reuters reported that revenue of about $62.5 billion would be needed to reach the midpoint of its own quarterly revenue guidance. Investors will therefore be looking not only at advertising growth but also at management's willingness to increase infrastructure spending further.

A strong earnings report could support chipmakers, cloud providers and other AI-linked companies. However, strong revenue accompanied by escalating capital expenditure may produce a more complicated market reaction.

What investors should watch: Revenue growth, operating margins, free cash flow, capital expenditure guidance and evidence that customers are paying for AI products at scale. The market's key question is shifting from how much companies can spend on AI to how efficiently they can turn that spending into profits.

The early rebound is encouraging for technology bulls, but the next durable advance will require more than optimistic guidance and another round of investment announcements.