Meta plunges 11% to $666 as AI bond sale rattles investors and tests key technical support
Meta Platforms (NASDAQ: META) tumbled over 11% to $666.47 on Thursday, its steepest single-day drop since 2022, after announcing a $30 billion bond sale to fund its expanding artificial intelligence infrastructure. The move underscored CEO Mark Zuckerberg’s determination to lead the AI race but raised alarms over rising leverage and margin compression.
Highlights
- Meta shares fall 11% to $666 after unveiling $30 billion bond issuance.
- AI infrastructure and data center spending surge 32%, outpacing revenue growth.
- Stock breaks key EMAs as traders brace for further volatility near $680 support.
With expenses jumping 32% against 26% revenue growth, investors are increasingly questioning the balance between Meta’s long-term ambitions and short-term profitability.
Technical breakdown confirms bearish reversal
Meta’s technical chart shows a sharp exit from the ascending parallel channel that had guided its uptrend since April. Thursday’s selloff pushed the stock below the 20-day and 50-day exponential moving averages (EMAs) near $733 and $728, signaling a decisive break in momentum. The 100-day EMA at $719 now acts as overhead resistance, while the 200-day EMA around $680 is being tested as the final line of defense.

Meta stock price dynamics (Source: TradingView)
Volume surged to its highest level in months, confirming heavy institutional selling. The Supertrend indicator flipped negative at $737, reinforcing the bearish tone. A clean daily close below $680 could expose the next key support near $620 — a level last tested during May’s breakout. Conversely, a rebound from the $670–$690 zone could stabilize sentiment, though recovery faces stiff resistance near $720–$740.
Momentum readings underscore the severity of the decline. The RSI plunged below 35, highlighting oversold conditions, while the MACD expanded further into negative territory. Such steep dislocations, however, can sometimes precede short-covering rallies if panic selling subsides. Traders will be watching closely for whether the stock can reclaim $700 or if continued weakness forces another leg lower.
AI spending concerns overshadow strong fundamentals
The selloff reflects broader unease over Meta’s escalating AI-driven capital commitments. The $30 billion bond issuance, its largest on record, follows a $27 billion funding arrangement with Blue Owl Capital for the “Hyperion” data center — a cornerstone of Meta’s AI infrastructure. Together, these financing moves highlight Meta’s aggressive expansion but also its willingness to assume debt at a time of elevated yields.
CFO Susan Li confirmed that total spending could reach $70–$72 billion in 2026, up from $66 billion in 2025, with AI compensation cited as one of the largest contributors. Investors viewed this as a sign that the “AI talent war” is intensifying across Silicon Valley, raising costs faster than revenues. While Meta’s core advertising business remains resilient, margins are now under visible strain, fueling fears of prolonged profitability pressure.
Broader market conditions have amplified the reaction. The selloff coincided with a pullback in the Nasdaq as investors rotated out of high-expenditure tech stocks amid higher Treasury yields. By contrast, Amazon and Apple rose after earnings, highlighting investor preference for firms showing disciplined AI execution rather than unchecked spending growth.
Outlook and key levels
Technically, Meta’s near-term outlook depends on the $660–$680 zone. Sustaining above this support could trigger a relief bounce toward $720–$740, where the 20-day EMA caps recovery attempts. Failure to defend the $660 level could invite further declines toward $620, marking the next structural support.
As previously discussed, Meta remains a cornerstone of the AI infrastructure narrative but faces a short-term identity test. Its long-term fundamentals — a dominant ad ecosystem and global user base — remain intact. Yet its aggressive funding strategy has exposed investors to renewed volatility as capital markets demand higher returns for risk.
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