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In Q2 2026, AI captured over 70% of venture capital, with H1 2026 reaching $510 billion, surpassing the total for all of 2025.
Goldman Sachs released a report stating that China's AI data center investment will reach 2 trillion RMB in the next five years, but domestic chips are actually more expensive in terms of computing power cost than imported ones, with a significant gap between Huawei and Nvidia, and the China-US AI computing power battle is just beginning.
Mark Zuckerberg told Meta staff that AI agents have not progressed as quickly as executives hoped, acknowledging that the company's AI restructuring and layoffs have not yet yielded the expected improvements. He expressed optimism that results would materialize within the next three to six months.
This op-ed argues that AI investments, specifically Dario Amodei's Anthropic, risk repeating the dotcom bubble by betting on a rent-extracting monopoly while facing LLM limitations and loss of moat to open source.
South Korea's government and top tech companies commit $1 trillion to boost memory chip production, build AI data centers, and accelerate commercial humanoid robots by 2028.
This essay applies the Moneyball philosophy to Physical AI, arguing that the industry overvalues raw data volume and teleoperation hours while undervaluing data novelty and marginal utility. It provides a framework for pricing data and recommends strategies for capital efficiency in robotics.
Apoorv Agrawal from Altimeter Capital explains why they are doubling down on their investment in Baseten, arguing that inference will become the largest market and that post-trained open source models offer the best combination of capability, cost, and control.
The article discusses the complexity of US manufacturing recovery in a thread format, pointing out that the weak spot is capital stock rather than demand, and mentions that AI is driving investment, but what is truly lacking are the machines that make machines.
Cory Doctorow discusses John Quiggin's argument that financial markets have failed at accurate asset valuation, using Elon Musk's post-2020 flops and the persistence of crypto and AI investments as examples of an economy driven by speculation rather than utility.
NEA partner Tiffany Luck discusses AI IPO prospects, personal agents, and the industry's shift from tokenmaxxing to measuring ROI on AI spending.
a16z podcast invites former partner Benedict Evans to explore the analogy between AI and the internet in 1997, pointing out that current AI infrastructure investment is massive but ROI is unclear. Historical experience suggests value will shift upward, and models themselves will find it difficult to achieve differentiated profits.
The article analyzes the rapid decline of Meta's engineering culture, from a high-performance profit center to a demoralized cost center, driven by aggressive AI mandates, layoffs, and poor leadership decisions.
Nvidia plans to raise over $25B in its first bond deal since 2021, reflecting market fatigue and the company's deep involvement in AI ecosystem financing, which has raised concerns about circular risks among investors.
DAPPOS has launched a buy-side equity research SOP through xBubble, allowing users to generate professional reports comparable to institutional buy-side analysts' internal research memos simply by entering a stock ticker, eliminating the need for tedious prompt engineering.
An opinion piece argues that pouring billions into proprietary AI research is irrational because open-source models like Qwen and GLM are now highly competitive, and any well-funded startup could replicate top models quickly.
A WIRED analysis reveals that about 90 venture capital firms have invested in both OpenAI and Anthropic, indicating that investors are hedging their bets on which AI lab will dominate rather than picking a single winner.
Teradata pauses annual salary raises for employees to reallocate budget toward AI investments, highlighting a broader corporate trend of funding AI transformations by reducing employee compensation.
Serenity.skill is an open-source AI tool that converts Twitter user Serenity's investment research methodology into an Agent Skill, helping users perform industry chain analysis and stock screening through AI.
Anthropic is moving toward a public IPO filing after raising $65 billion at a $965 billion valuation, with co-founder Daniela Amodei citing the need for capital to train frontier models and serve inference at scale. The company reported $47 billion in annualized revenue as of May 2026, and has partnered with xAI for $1.25 billion per month in compute capacity rather than building its own data centers.
Andreessen Horowitz announces new global initiatives including driving tech partnerships with allied nations on AI, robotics, and cybersecurity, led by former government official Anne Neuberger as General Partner, and expanding international support for portfolio companies.