News linked to both this project and an event.
According to TechFlow Research, JPMorgan's US stock strategy report on August 9 raised the S&P 500 year-end target price from 7,800 points to 8,000 points, the 2026 EPS forecast from $358 to $365 (+35%), and the 2027 EPS forecast to $420 (+15%). Among the 87% of companies that have disclosed earnings, 78% beat earnings expectations, with Q2 earnings growth reaching 53%. The report noted that AI capital expenditure is expected to reach $900 billion in 2026 (+85%), surpassing $1.2 trillion in 2027, with hyperscale vendors accounting for approximately 87%. However, cloud revenue realization is accelerating: AWS up 37%, Azure up 43%, Google Cloud up 82%; AWS backlog orders increased 36% quarter-over-quarter to $496 billion, and Google backlog orders increased by $55 billion to $514 billion. JPMorgan believes the order coverage ratio is improving, and monetization pace is catching up with spending pace. Excluding Google and Amazon's combined $152 billion in unrealized private equity gains (mainly from Anthropic's $65 billion financing), Q2 actual earnings growth was about 31%, and 2026 normalized EPS is about $347 (+28%). JPMorgan maintains the assumption of approximately 20x forward P/E ratio for the S&P 500 index unchanged, stating that the earnings upward revision is sufficient to
According to TechFlow Research, Morgan Stanley's research report on August 6 pointed out that the combined growth rate of the three major cloud vendors in Q2 jumped from 39% to 48%, accelerating for five consecutive quarters. AWS grew 37% (fastest in 18 quarters), Azure increased 43%, and Google Cloud increased 82%. AWS's AI annualized revenue has exceeded $25 billion, with triple-digit growth. Azure's PostgreSQL revenue increased 55% (accelerating for three consecutive quarters), and Fabric paying customers exceeded 40,000, up 60%. Morgan Stanley believes AI consumption is driving core infrastructure demand, creating a positive backdrop for DDOG, SNOW, and MDB. However, expectations are also rising simultaneously. Market expectations for DDOG's Q2 growth rate are 35% to 36%, with valuation corresponding to approximately 69 times 2028 FCF; any signal below expectations could be amplified. Most of SNOW's consumption comes from AWS, and cloud acceleration is a positive signal for product revenue. MDB is unlikely to see an AI inflection point in the short term, but competitive pressure is increasing. Morgan Stanley maintains an Overweight rating on all three companies, with target prices of $300, $300, and $380 respectively. Whether demand exists no longer needs verification; the question the market needs to ask is whether demand is good enough to support current valuations.
Chinese AI startup Moonshot AI will release the model weights of its high-performance model, Kimi K3. Developers can download the model, modify it for various purposes, and run it in their own data centers or cloud environments.Kimi K3 boasts 2.8 trillion parameters and a 1 million token context window, enabling it to process large-scale documents and codebases in a single pass. Moonshot AI plans to later publish a technical report detailing the model's architecture, training methodology, and performance evaluation results.Following the release of Kimi K3, Moonshot AI's daily revenue is reported to have increased by at least 6 times. The company is reportedly advancing a new round of fundraising at a $50 billion valuation and is considering a Hong Kong listing as early as this year.According to Bloomberg Intelligence, following the release of Kimi K3 and Z.AI's GLM-5.2, the share of Chinese open-weight models in overall token usage has risen to 68%. Services like AWS Bedrock, Microsoft Azure Foundry, and Google Vertex AI currently do not offer Chinese open-weight models such as Kimi K3 and GLM-5.2.
According to PR Newswire, post-quantum cryptography (PQC) management platform QIZ Security announced the completion of a $17 million seed funding round, led by Bessemer Venture Partners and Merlin Ventures, with participation from Evolution Equity Partners, Qbeat Ventures, Singtel Innov8, and Qino Cyber Capital. The funding will be used to accelerate product development and market expansion. QIZ's core capabilities lie in providing enterprises with continuous crypto asset discovery, risk modeling, and remediation governance, helping organizations complete the migration to quantum-safe architecture before "Q-Day" (the point in time when quantum computers are expected to possess the capability to break existing encryption systems, anticipated around 2029) arrives. Currently, QIZ has established strategic partnerships with Cisco, AWS, Google, CrowdStrike, Deloitte, EY, and IBM, among others, with services covering the finance, telecommunications, healthcare, and critical infrastructure sectors. The company was co-founded by cybersecurity industry veterans Ben Volkow, Lenny Ridel, and former head of Deloitte's Global Quantum Cybersecurity team, Dr. Itan Barmes.