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Benchmark Raises $2B Growth Fund, Breaks 20-Year Tradition
The legendary abandons its more than 20 year tradition of keeping its funds to about $425 million.
Ex-Meta CTO Launches $250M Climate Fund with Gigascale Capital
Mike Schroepfer's Gigascale Capital has raised a large fund to back founders building climate-friendly solutions for the world's energy and material shortages.
OpenRouter Valuation Soars to $1.3B with $113M Series B Funding
OpenRouter has raised a $113 million Series B led by CapitalG. Its 5x growth in usage over six months indicates the multi-AI-model future is here.
WeRoad Secures $58M for US Expansion, Led by Airbnb
WeRoad, the Milan-based group travel startup, has raised a $58 million Series C round led by Airbnb as it prepares for its first major expansion outside Europe. The funding brings the company’s total capital raised to roughly $100 million and will finance WeRoad’s push into the U.S., beginning with Austin. The new investment reflects a […]
Convective Capital Raises $85M for Disaster Resilience
After launching to invest in fire tech, Convective is broadening its mandate to disaster resilience.
Imperagen Secures £5M for AI-Driven Enzyme Engineering
Biotech company Imperagen announced on Thursday a £5 million ($6.7 million) seed round led by PXN Ventures, with participation from IQ Capital and Northern Gritstone.
Meridian Ventures Launches $35M Fund for MBA-Deferred Founders
This new fund will back founders building enterprise technology in the United States. Meridian is agnostic, co-founder Devon Gethers said, noting that the firm has already invested in companies in fintech, logistics, healthcare, and of course, AI.
Kevin Hartz’s A* Raises $450M for AI, Fintech, and Healthcare
The firm takes a generalist approach, backing companies across categories such as AI applications, fintech, healthcare, and security. The average check size for this fund will be between $3 million and $5 million, with the aim to back at least 30 startups.
Anthropic Warns Against Unauthorized Share Platforms
The company named Open Doors Partners, Unicorns Exchange, Pachamama Capital, Lionheart Ventures, Hiive, Forge Global, Sydecar and Upmarket as companies that are not authorized to provide access to buy or sell its shares.
Coatue's New Venture: AI Data Centers Near Power Sources
Coatue, one of the biggest names in venture capital, has a new venture that is reportedly buying land near large power sources.
Musely Raises $360M in Non-Dilutive Funding for AI Marketing
The DTC skin, hair, and menopause care brand will use the non-dilutive capital to super-charge customer acquisition.
Amazon's AWS Surges, Drives Massive Cloud Spending
The e-commerce giant is making more money than expected from AWS but it's also spending a lot, and will continue to do so in the near term, its chief executive said.
Kompas VC: Investing in Physical World Startups Amid Geopolitical Turm
Geopolitical turmoil has made venture investing challenging, leading Kompas VC to carve out a niche in startups focused on the physical world.
Nvidia Exec: AI Currently More Expensive Than Human Workers
Nvidia’s vice president of applied deep learning, Bryan Catanzaro, recently stated that for his team, “the cost of compute is far beyond the costs of the employees,” highlighting that AI is currently more expensive than human workers. This challenges the narrative that widespread tech layoffs (including Meta’s planned cut of \~8,000 jobs and Microsoft’s voluntary buyouts) signal an imminent replacement of humans by AI. An MIT study from 2024 supports this, finding that AI automation is economically viable in only 23% of roles where vision is central, and cheaper for humans in the remaining 77%. Despite heavy AI investment—Big Tech has announced $740 billion in capital expenditures so far this year, a 69% increase from 2025—there is still no clear evidence of broad productivity gains or job displacement from AI. AI spending is driving up costs, with some executives like Uber’s CTO saying their budgets have already been “blown away.” Experts describe the situation as a short-term mismatch: high hardware, energy, and inference costs make AI less efficient than humans right now, though future improvements in infrastructure, model efficiency, and pricing models could tip the balance toward greater economic viability in the coming years.