Reports on 8 October put OpenAI’s annualised revenue near $50bn, roughly $20bn below an earlier $70bn figure, but the estimates used different methodologies: some included more cloud-partner sales, while the later figure excluded partners’ share on certain transactions. Bloomberg later said OpenAI expects annualised revenue to reach at least $70bn by end-2026, driven by enterprise customers, though that remains a target. The headline nevertheless rattled AI-linked equities on the day, with the Nasdaq down 1.3% as Nvidia fell 2.9%, AMD slid 3.9% and Oracle dropped 5.5%, and the episode refocused attention on whether profits can match heavy AI outlays.
Capital intensity remains high. Barclays estimates Microsoft, Alphabet, Amazon and Meta spent a combined $165bn on capex in Q2 2026 versus $88bn a year earlier; after that, the group generated about $6.7bn in combined free cash flow. Higher US Treasury yields raise financing costs, while market breadth looks weaker: the equal-weighted S&P 500 ETF rose 0.6% on 8 October but is still below its 20D-EMA band (1 standard deviation), with reference points at 214–216 on the upside and 207 on the downside. By contrast, the S&P 500 is described as still aiming towards 7,950–8,000.
Trading Strategies in an Uncertain Environment
As we navigate the market reaction to the recent OpenAI revenue confusion, derivative traders should prepare for short-term volatility while respecting the dominant upward trend. The S&P 500 remains technically strong and is targeting the historic 8,000 level, backed by a clear bull flag pattern. For short-term trading, we favor utilizing call options or bullish vertical spreads on major stock index contracts to capture this continuing momentum.
However, we must manage a sharp divergence as the equal-weighted S&P 500 index continues to trade weakly below its 20-day exponential moving average. This lagging performance suggests that the broader market is failing to keep pace with the AI giants, which sets up a compelling pair-trading opportunity. We can exploit this by purchasing call options on tech-heavy indices while buying put options on the equal-weighted index, targeting a move down toward the 207 level.
Macroeconomic Pressures and Risk Management
Macroeconomic factors also demand our attention, especially with the U.S. 10-year Treasury yield rising past 4.0% in early October, which increases borrowing costs for average corporations. Furthermore, the Q3 earnings season beginning in mid-October will force mega-cap tech firms to justify their massive $165 billion capital expenditures from earlier this year. To trade these upcoming binary events, we suggest using option straddles to capitalize on the inevitable swings in implied volatility.
Should the major indices face a deeper correction, we will look to historical support levels like the 100-week moving average to position long-term protection. Conversely, we expect any short-term rebounds in the equal-weighted index to hit a wall of selling pressure between 214 and 216. Until the broader market proves otherwise, we should continue to buy the dips on major indices while keeping a highly defensive stance on the rest of the market.
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