WAR(WAR) Regular Invest

The commercialization of generative AI is facing a critical inflection point as a potential price war looms. According to The Wall Street Journal, OpenAI is considering a significant cut to its token fees to compete with rival Anthropic, signaling a shift from a growth-at-all-costs model focused on token consumption. This move comes as both companies, reportedly losing billions on compute, prepare for IPOs, and as enterprise customers face "bill shock" from switching to usage-based token billing. Reports indicate poor ROI, with one analysis finding only 18 cents of every dollar spent on AI tokens generates user-facing value. The industry's initial phases—from flat-rate subscriptions to aggressive subsidies—have given way to a reckoning with real costs. Analysts debate the future: some predict a bifurcation between premium, high-cost models for complex tasks and cheaper alternatives for routine work, while others believe overall spending will still rise as agentic AI increases tokens per task. Notably, Chinese model DeepSeek's low-cost API is gaining traction with U.S. enterprises, adding competitive pressure. The core challenge is redefining value beyond token volume ("tokenmaxxing") toward measurable productivity ("valuemaxxing"), as the entire AI value chain, from cloud providers to chipmakers, feels the ripple effects of unsustainable pricing.

"Gold Buying Guide: Focus on Interest Rates, Not Just War" Four months ago, gold buyers likely didn't anticipate buying at a peak that even a war couldn't sustain. After hitting a record high of $5,596 on January 29, gold entered a bear market just 91 days later, its fastest decline since 2008. A key trigger was the Fed's hawkish shift, highlighting that monetary policy, not geopolitics, is the primary driver. The article argues that the traditional "buy gold in turmoil" script has changed. While the US-Iran conflict initially boosted prices, the sustained rally in oil prices heightened inflation fears, forcing central banks to maintain or consider tighter policy. Since gold yields no interest, higher rates increase its opportunity cost, eroding its appeal. This dynamic was evident when gold fell sharply on May 18 despite positive peace talks, as lower oil prices eased inflation and thus rate hike pressures. The recent sell-off is also part of a broader market deleveraging. Correlations between gold, Nasdaq, and Bitcoin spiked as leveraged investors sold liquid assets to cover losses, creating a synchronized downturn. Historically, gold bottoms align with policy shifts, not conflict resolutions. The 2008 and 2022 bear markets ended with shifts to extreme easing and peak inflation expectations, respectively. For potential buyers, the author suggests monitoring three signals: 1) Peak interest rate hike expectations, 2) Reopening of the Strait of Hormuz (to ease oil/inflation pressure), and 3) A return to net inflows for Gold ETFs, indicating the end of forced selling. While predicting the exact bottom is impossible, the author's personal strategy involves scaling into a position across price levels like $4000, $3700, and $3500, committing no more than 30% of the intended total allocation initially, and adding the remainder only if key signals emerge. The core conclusion: In turbulent times, watching interest rates is more crucial than watching wars.

Weekend markets saw a clear return of risk appetite. Major indices rose broadly, with significant gains in tech and precious metals, while energy sectors fell sharply on the "end of war" narrative. On June 14, oil prices initially rose on reports Iran had not yet finalized a memorandum of understanding. Later, YNET reported Trump might immediately lift the maritime blockade on Iran and the Strait of Hormuz. At 21:30, Trump confirmed on Truth Terminal that a deal with Iran was done, authorizing an immediate end to the US blockade and toll-free opening of the Strait. Iran's deputy foreign minister simultaneously announced an immediate and permanent halt to military actions on multiple fronts. Oil prices had already fallen to weekend boundaries, pre-pricing the news. The S&P 500 subsequently touched 7530. Markets will likely remain in a waiting period until the formal peace deal signing on June 19. At the moment of the deal announcement, gold jumped from ~4,221 to a high of 4,337, and silver from ~67.85 to 70.83, before stabilizing at higher levels. Individual stocks and ETFs like NBIS, RKLB, and LITE performed strongly. NBIS, added to the Nasdaq index, saw a target price increase due to strong AI cloud growth. RKLB, also added to the index, benefited from positive SpaceX valuation sentiment. LITE received a $1,130 target from JPMorgan. SPCX rose quickly after Musk tweeted SpaceX could potentially reach ~$1 trillion in revenue by 2030. In summary, the market shock from the multi-month war is beginning to dissipate. Israel's actions remain the key variable before the June 19 signing. Upcoming events like Fed Chair Warsh's debut and BoJ rate hike expectations will also significantly impact markets this week.

**Wintermute Market Weekly: BTC Rebounds to $60K Lows, But Caution Advised** This week saw a broad market rebound, primarily driven by two converging factors: a US CPI inflation reading that met expectations (4.2% YoY) and former President Trump's announcement of a deal to end the Iran conflict. The latter triggered a sharp drop in oil prices, reducing geopolitical risk premiums and easing inflation fears. Consequently, risk assets like equities and cryptocurrencies rallied, with Bitcoin recovering from lows around $60,000 to close the week up 1.9%, while altcoins gained 3.1%. Despite the price bounce, the underlying liquidity picture for crypto remains weak. Key funding channels—stablecoin flows, ETF inflows, and Digital Asset Treasury (DAT) activity—show no signs of structural improvement. ETF outflows recently hit a record streak, and DAT assets have declined significantly. The rally from $60K to $83K earlier is now viewed as a bear-market rally that has failed. The current environment is characterized by low directional conviction and choppy, range-bound trading, likely persisting into summer. The report advises caution against aggressively buying the dip. While the $60K area offers attractive long-term risk/reward, a sustained bull run requires a visible turnaround in capital inflows, which hasn't materialized. The upcoming FOMC meeting and Powell's commentary, alongside the formal Iran deal signing, are noted as near-term catalysts. The core takeaway is to watch fund flows rather than price action and avoid being whipsawed by volatility before clear signs of institutional or retail capital returning emerge.

The article discusses the ongoing "token subsidy war" among AI giants like OpenAI and Anthropic, questioning whether it's nearing its end. It reveals that current AI subscription prices are heavily subsidized, with some plans offering tokens at up to 70 times the actual cost to attract and retain heavy users, especially developers and enterprises. This strategy mirrors past internet-era subsidy battles, but with a key difference: AI tokens lack "lock-in" effects. Unlike ride-hailing or food delivery apps, users can easily switch between AI providers as APIs become standardized, making it difficult for companies to raise prices post-subsidy. The piece highlights a structural asymmetry in the competition. Giants like Google, with massive advertising revenue, can afford to subsidize tokens indefinitely, akin to using "tokens as a weapon." In contrast, venture-backed companies like OpenAI and Anthropic face pressure to become profitable, especially as they approach IPO. The article cites Google Ventures founder Bill Maris, who suggests Google could slash token prices by 80%, putting immense pressure on competitors. Two potential endgames are presented: the "internet service" model (subsidize, monopolize, then raise prices) and the "utility" model (tokens become a standardized, low-margin commodity like electricity). Given the low switching costs, the latter seems more likely. The competition may not have a single winner but could instead accelerate AI's evolution into a foundational, infrastructure-level technology, akin to a public utility. For now, users continue to benefit from heavily subsidized token costs.