A new article argues that AI application startups are being squeezed from above by model companies that absorb popular features, and from below by system integrators with direct model vendor backing. It highlights revenue data: OpenAI ARR reportedly hit $25B, Anthropic over $47B, while Cursor reached $500M and Glean $300M—only a few apps cross $100M. Early tools like Jasper were quickly replicated by ChatGPT, and AI search faces direct competition from model-native search. The author sees the biggest threat in the Anthropic-DXC alliance, which bypasses app developers for enterprise delivery. The future, it contends, lies in AI-powered physical services (robotaxi, AI hospitals) where value extends beyond software.
MetaX is advancing a 10,000-GPU cluster project at Shanghai Lingang, with the final choice between the existing C550 and the newer C600 GPU. The company has already delivered a full-scale domestic AI cluster and reported ¥743M in 2024 revenue, with over 25,000 C500 chips sold to major clients like China Telecom, Alibaba, and Tencent. A separate Wuxi-based 10,000-GPU cluster using C550 cards is now operational. The industry is shifting from training-centric deployments to inference, as China's inference demand is roughly 8× training demand. MetaX is also preparing for an H-share listing in Hong Kong, while supply chain and 7nm production capacity remain key constraints.
Leaked audited financials reveal OpenAI generated $13.07 billion in revenue but posted a net loss of $38.53 billion in 2025, driven by $41.55 billion in equity revaluation losses and $20.92 billion in operating losses. Payments to Microsoft for R&D and services totaled $17.2 billion. Concurrent Sensor Tower data shows ChatGPT's share of the AI assistant market slipped to 46.4% by May 2026, down from over 50% earlier in the year, as Google Gemini (27.7%) and Anthropic Claude (10.3%) gained ground. Anthropic now leads in enterprise API spending share and engineer poaching. Chinese open-source models from DeepSeek, Alibaba Qwen, and others are capturing developer usage via dramatically lower pricing and competitive performance, further eroding OpenAI's pricing power. While OpenAI has confidentially filed for an IPO, the financials force a critical narrative shift: whether its multi-hundred-billion-dollar losses represent infrastructure for a monopolistic AI entry point or an increasingly expensive arms race against diversified competitors.
While the IGV software ETF fell 12.3% and WCLD 11.9% by June 15, 2026, cybersecurity ETFs CIBR and HACK rose over 20%, driven by three new AI-specific demand areas. First, AI agents require identity and permission management akin to human employees, spurring Palo Alto Networks' $25B acquisition of CyberArk for machine credential control. Second, runtime monitoring of AI behavior—such as prompt injection and unauthorized data exposure—has become critical, with Palo Alto's Prisma AIRS reaching over 300 customers and CrowdStrike's AIDR seeing 250%+ ARR growth. Third, AI data centers need high-throughput, low-latency security, benefiting Fortinet's dedicated FortiASIC chips, which fueled a 41% quarterly product revenue rise. The payment model is shifting to usage-based pricing, making security spending scale with AI adoption, insulating cybersecurity from the broader SaaS downturn.
On June 15, 2025, DeepSeek completed a ¥51 billion Series A round at a post-money valuation of ~¥400 billion, with CATL and its investment platform Puquan Capital contributing approximately ¥5 billion, the second-largest external investment after Tencent. This follows CATL’s recent acquisitions of a controlling stake in HVDC leader Zhongheng Electric and IDC operator Century Internet. The three deals form a ‘green electricity → energy storage → HVDC distribution → computing power’ vertical chain, enabling CATL to supply energy storage, peak-valley arbitrage for lower electricity costs, green direct power, and backup power to AI data centers. Experts view the investment as a strategic pivot: CATL is transitioning from a battery manufacturer to an AI computing energy infrastructure platform, leveraging its government relationships and energy network to secure electricity quotas and negotiate tariffs, thereby unlocking higher valuation multiples beyond manufacturing PE ratios.
Panthalassa, a startup backed by Peter Thiel and other Silicon Valley VCs, is developing floating data centers that generate power from ocean waves and use cold seawater for cooling. The company has been testing a 70-meter prototype off Washington State that produces up to 1 MW of electricity. It plans to deploy commercial units with pre-installed chips for AI training in the Southern Ocean by 2027, a year ahead of SpaceX’s 2028 orbital data center target. Panthalassa claims a levelized cost of electricity around 2 cents per kWh and a capacity factor above 90%, aiming to avoid land-use conflicts and grid constraints. The firm completed a $140 million Series B round from investors including Peter Thiel, John Doerr, Marc Benioff’s TIME Ventures, and Gigascale Capital founded by former Meta CTO Mike Schroepfer. In the longer term, the platform could produce carbon-free fuels like green hydrogen from desalinated seawater.