^NDX Today, March 27: Meta Layoffs Spotlight $135B AI Capex Pivot

Meta layoffs are back in focus as reports point to several hundred roles cut across sales, recruiting, and Reality Labs while 2026 AI capex could reach US$135 billion. For Nasdaq 100 tech, that scale signals tougher spending choices and potential margin trade-offs. Singapore investors watching ^NDX should consider how AI infrastructure outlays, cost controls, and ad-cycle trends can move index leadership. We explain what the news means, how the index looks on key technicals, and what to watch next.

Meta’s AI capex pivot and what the cuts signal

Meta’s 2026 AI capex could climb to as high as US$135 billion, underscoring the AI data center and GPU buildout race. That scale may pressure near-term margins while aiming to widen long-term moats. For Nasdaq 100 tech, heavy AI infrastructure spend can shift cash flows and valuation multiples. We think investors should watch how peers update capex, power needs, and model deployment timelines.

Several-hundred job cuts are confirmed, with reports placing the figure around 700 and flagging potential for larger reductions. Roles span sales, recruiting, and Reality Labs, highlighting tighter cost control alongside AI investments. See coverage in The Straits Times source and The New York Times source. Times of India noted risks of deeper trims per earlier timelines, which were not independently confirmed here.

Why this matters for Singapore portfolios

Nasdaq 100 tech is sensitive to megacap spending and margin guidance. Meta layoffs paired with rising AI capex can sway growth expectations across ad-driven and cloud-linked names. For Singapore investors with U.S. exposure, this may affect sector weights, factor tilts, and near-term volatility. We suggest reviewing how AI infrastructure cycles influence earnings quality and cash conversion across core holdings.

Singapore investors typically access the Nasdaq 100 through U.S.-listed ETFs, UCITS ETFs, or single stocks via global brokers. Check trading hours, expense ratios, and USD to SGD currency effects on returns. Consider position sizing, stop-loss rules, and rebalancing dates. News-driven moves can be sharp, so align tactics with your risk budget, time horizon, and diversification goals.

^NDX levels and technical context to watch

On our latest read, ^NDX was at 23,586.99, down 2.38% on the day, with a 1-year change of 18.43% and YTD at -6.42%. It trades below the 50-day average of 25,106.26 and the 200-day of 24,359.16. RSI stands at 41.56, while MACD remains negative, suggesting a weak momentum regime. ADX at 32.20 implies a strong trend that merits respect.

Average True Range is 411.58, reflecting meaningful daily swings. Bollinger Bands show a middle band near 24,636.85 and lower band at 23,906.87. Keltner lower channel sits around 23,720.28. These gauges frame risk and potential mean-reversion. Consider predefining entries, trims, and hedges rather than reacting mid-swing. Always reconcile signals with earnings and guidance updates.

Key catalysts and how to monitor them

Watch for updated capex guidance, data center build timelines, and GPU supply. Power availability and AI model rollout cadence can shift spend curves. Policy developments on data, privacy, and AI safety may alter cost structures. Track company filings and press releases for definitive changes, and validate media reports with subsequent statements.

Forward-looking statements carry uncertainty. Investors should monitor quarterly results for revenue growth, margin trends, and free cash flow after capex. For the index, breadth and leadership matter as much as any single name. Compare reactions across ad platforms, semiconductors, cloud, and software to gauge whether AI spending is a headwind or a long-term moat builder.

Final Thoughts

Meta layoffs, paired with a possible 2026 AI capex peak near US$135 billion, reinforce two cross-currents for Nasdaq 100 tech. First, the AI infrastructure race will demand larger, steadier outlays that can compress near-term margins. Second, disciplined cost actions can support cash flow and extend investment runways. For Singapore investors, the practical takeaway is to review exposure to AI beneficiaries and input suppliers, check USD to SGD effects on returns, and set clear rules for adds, trims, and hedges. Use technical context to time entries around volatility bands, but let earnings quality, capex productivity, and guidance drive conviction. Validate headlines with official disclosures, and scale positions to your risk budget and time horizon.

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The content shared by Meyka AI PTY LTD is solely for research and informational purposes.  Meyka is not a financial advisory service, and the information provided should not be considered investment or trading advice.