← All market recaps

Big Tech and AI

Big Tech and AI: The Last Week's Market Moves ($AVGO, $ORCL, $META, $NVDA)

The essential market context from September 14 through September 20, 2026.

Big Tech and AI: The Last Week's Market Moves ($AVGO, $ORCL, $META, $NVDA)

The last seven days have been defined by a relentless march toward AI infrastructure dominance. From record-breaking revenue beats to massive capital expenditures, the mega-cap tech sector is consolidating its position as the primary beneficiary of the artificial intelligence buildout. While profitability remains under pressure for some due to heavy spending, the consensus view points to sustained growth driven by compute demand and memory scarcity.

The Chip Giants Lead the Charge

Broadcom ($AVGO) and Nvidia ($NVDA) set the tone with exceptional financial performance. Broadcom reported record revenue of $29.6 billion, with its AI semiconductor division contributing $16.7 billion—a staggering 221% year-over-year increase. Despite workforce reductions and legal challenges regarding VMware services, the company maintained a robust 54% operating margin.

Nvidia reinforced the memory sector's tight supply conditions, confirming that extreme pricing power is extending into next year. With SK Hynix predicting a supply-demand balance not until 2030, Nvidia expects its own margins to recover as it offsets input costs with repriced products in fiscal 2028. Meanwhile, AMD ($AMD) delivered record second-quarter revenue of $11.5 billion, driven by a doubling of data-center sales to $6.7 billion.

Cloud and Compute Backlogs Explode

Oracle ($ORCL) and Alphabet ($GOOGL) highlighted the sheer scale of their AI commitments. Oracle's cloud infrastructure revenue jumped 121% to $7.4 billion, fueled by a reported $300 billion, five-year compute agreement with OpenAI. This massive contract contributes to a total backlog reaching $664 billion—more than seven times the expected full-year revenue.

Alphabet ($GOOGL) showed similar strength, with Google Cloud revenue surging 82% and Gemini Enterprise deployed at nearly 90% of Fortune 100 companies. The company holds a contracted backlog of $514 billion, with management guiding to recognize over half as revenue within the next 24 months. Both companies are navigating heavy capital expenditures; Oracle spent $28.5 billion in a single quarter, while Alphabet's capex hit $44.92 billion, resulting in negative free cash flow for the period.

AI Models and Infrastructure Investments

Meta ($META) launched 'Muse,' an autonomous AI assistant powered by the Muse Spark 1.3 model, which ranks third in the U.S. App Store. Despite a significant drop in operating margins to 31% due to legal charges and severance costs, the company raised its full-year expense outlook to support a massive $130 billion to $145 billion capital expenditure bill for AI infrastructure.

Alphabet ($GOOGL) also expanded its hardware footprint, finalizing the acquisition of AI startup Mechanize for over $1.5 billion and preparing TPU system sales largely for realization in 2027. Amazon ($AMZN) further diversified its supply chain by signing an $8 billion agreement with Generac Holdings for backup power generators, issuing warrants to purchase shares as part of the deal.

Market Sentiment and Analyst Views

Wall Street remains bullish on the sector's trajectory. Bank of America raised its global semiconductor sales forecast to $3.2 trillion by 2030, increasing the compound annual growth rate expectation from 14% to 18%. JPMorgan upgraded Meta ($META) stock from 'Neutral' to 'Overweight' following the success of Muse Spark 1.3, which uses fewer tool calls and tokens than previous models.

Taiwan Semiconductor Manufacturing ($TSM) shares surged approximately 41%, reflecting confidence in its dominant 73% global foundry market share and raised guidance for Q3 2026. However, risks remain regarding high capital intensity and geopolitical tensions involving Taiwanese headquarters.

What to Watch

The focus now shifts to how these companies manage their massive capex loads while delivering on AI promises. With memory scarcity expected to persist until 2030 and data center energy consumption rising sharply, the ability to maintain margins will be critical. Analysts continue to raise price targets across the board, citing firm customer orders and long-term agreements through 2027 as key drivers for sustained growth.