Andrew Kang used RoboStrategy’s August 2026 shareholder letter to make a broader case for robotics investing: capital should pull back from pure software and move toward companies building in the physical world. He argued that private-market pricing still fails to capture fair value in robotics, pointing to Unitree’s market debut as a recent example of the gap between late-stage venture marks and public valuation. Kang also detailed RoboStrategy’s own performance since listing, saying net asset value rose sharply between April 30 and July 31 and that the firm deployed another $124 million across six companies after going public. The letter ran through a long list of portfolio updates, including Standard Bots, Figure AI, Apptronik, Dyna Robotics, Dexmate, Path Robotics, Eccentric Machines, REK, GMI and Nox Metals. Kang said several portfolio companies have moved beyond pilot programs into actual deployments and shipments. He also outlined RoboStrategy’s expansion into media, policy and institutional fundraising, while arguing that robotics venture funding is still small relative to pre-ChatGPT AI venture activity. In his view, the sector is only now entering a financing turning point, with sharper differentiation likely between companies that can scale and those that cannot.

Leopold Aschenbrenner’s hedge fund, Situational Awareness, is drawing new investor interest only days after a sharp trading crisis, according to a Bloomberg report cited by Wall Street CN and republished by ChainCatcher. People familiar with the matter said a large number of Silicon Valley investors contacted the fund after the blowup to express interest in adding capital, even though the firm has told investors it is not accepting new money for now. The fund had to sell most of its stock portfolio to Ken Griffin’s Citadel at a discount of more than 10% after receiving margin calls from financing providers. Aschenbrenner later told investors he had removed all leverage and described the episode as a costly but invaluable lesson. The remaining portfolio, including private investments, is valued at about $10 billion, and the fund is still up roughly 80% this year. The episode has sharpened the contrast between Silicon Valley and Wall Street. Venture investors have continued to back Aschenbrenner and framed the setback as part of a larger AI success story. Wall Street, by contrast, has focused on familiar hedge fund risks: concentrated positions, crowded trades, and heavy leverage. Banks had already shown mixed views on the fund, with Barclays declining the relationship, Morgan Stanley initially passing before later planning to onboard it, and Goldman Sachs, JPMorgan Chase, and Bank of America providing leverage.

China's PBOC and seven agencies issued revised rules on Friday, banning unauthorized offshore yuan-pegged stablecoins, bringing RWA tokenization under regulatory control for the first time, and reaffirming crypto business as illegal while pushing the digital yuan.

On June 9, 2026, the House Ways and Means Committee released six standalone draft bills on digital asset taxation, covering charity deductions, mining/staking gains, simplified reporting, and more. Democrats raised concerns over deferred taxation for miners. Bipartisan gap remains wide; CLARITY Act targets July 4 milestone.

In 2013, Google and Facebook competed to acquire AI startup DeepMind. Zuckerberg offered more money, but CEO Hassabis chose Google after a dinner test. Google paid $650 million, securing conditions like no military use. Hassabis later won the Nobel Prize in Chemistry.

The US House is weighing crypto tax bills covering small transaction exemptions and the timing of taxes on mining and staking rewards, but skepticism in both parties suggests a long road ahead.

Famous investor Michael Burry (the 'Big Short' legend) warns the US faces a 'real recession' lasting multiple years, with no strategy to pull out. NYU's Roubini and Elon Musk share similar concerns about a severe downturn.

Nouriel Roubini, famously known as 'Dr. Doom' for predicting past financial crises, now forecasts 4% annual US growth by 2030, arguing that AI-driven tech advances will outweigh the drag from Trump's tariffs.