GitHub Sponsors Passes $100 Million as Sony Music Sues Udio Over 30,000 Songs
Two stories about compensating the people whose work underlies modern software and AI surfaced the same day, and they represent almost opposite mechanisms for solving the same problem. GitHub says individuals and organizations have invested more than $100 million in open source maintainers and projects through GitHub Sponsors since 2019, with $10 million of that total arriving in just the past five months. Separately, Sony Music has filed a second copyright suit against Udio, alleging the AI music company copied 30,117 recordings without permission to train its models.
Meta's $12 Billion Debt Deal and TSMC's Price Hikes Reveal What AI Infrastructure Really Costs
Three stories landed within hours of each other this week, and together they say more about the AI buildout than any single earnings call. BlackRock is leading a debt sale exceeding $12 billion to finance Meta’s new data center in El Paso, Texas. In a related move, Meta has signed a lease for a separate BlackRock-backed data center project in Pennsylvania. Meanwhile, on the supply side, TSMC is preparing to raise prices on both advanced and mature process nodes by as much as 10% in 2027, with an additional 10-15% premium layered on top for customers who exceed their original order forecasts. And Microsoft has signed a multibillion-dollar agreement with Mistral to build European data centers while folding Mistral’s models into Foundry, Copilot Studio, and Azure Local.
The UK Gives AI a Cabinet Seat While the US Army Rations It
Two stories about governments and AI, published hours apart, point in opposite directions. In the UK, Prime Minister Andy Burnham has abolished the Department for Science, Innovation, and Technology outright, and elevated AI Minister Kanishka Narayan — who also oversees the AI Safety Institute — to a full seat at cabinet. In the US, an Army CIO memo reinstates limits on how many AI tokens Army personnel can use, even as internal documents show the Department of Defense’s own Ask Sage tool has access to 100 million tokens through an annual “enterprise pack.”
IBM Falls 25% on a 3.7% Revenue Miss: The Market Repriced the Story, Not the Quarter
IBM closed down 25.2% at $217.07 on July 14, the steepest single-day decline in the company’s history and the worst drop in records that run back to 1968 — worse than the 23.7% collapse of October 1987. Roughly $67 billion in market value evaporated on a preliminary second-quarter print that missed revenue by 3.7%. That gap between the size of the miss and the size of the reaction is the entire story. The market did not sell a quarter. It repriced the forward earnings stream.
Valarian Raises $50 Million Series A Led by NEA to Build a Sovereign Control Layer for AI Workloads
Valarian has raised $50 million in Series A funding led by New Enterprise Associates, bringing the London-based company’s total raised to $70 million. The round is NEA’s first defence and dual-use investment in Europe. Lightbank, XTX Markets, Sequel and LitVC participated, along with angel investors Gokul Rajaram and Nikesh Arora.
The product is a control layer. Valarian enforces workload-level governance across the environments where critical applications, AI systems and operational workloads run — dictating how those systems communicate, access data and operate. The governance lives at the infrastructure layer rather than in each application, and every deployed capability inherits it automatically.
IQM Quantum Computers Lists On Nasdaq As IQMX: Europe's First Public Quantum Company
IQM Quantum Computers began trading on the Nasdaq Global Select Market this week under the ticker IQMX, closing a business combination with Real Asset Acquisition Corp. and becoming the first European quantum computing company listed on a major U.S. exchange. The listing is less about a funding milestone and more about a bet on a specific architecture: full-stack, on-premises superconducting quantum systems that customers own and operate themselves, rather than access purely through the cloud.
B2B Forum EMEA 2026, 28–29 September 2026, London
Forrester has released the full conference agenda for its B2B Forum EMEA 2026, set for 28–29 September 2026 in London. The event’s theme, “Hello, GTM Singularity,” centers on a claim that’s hard to dismiss: Forrester puts the share of business buyers now using generative AI or conversational search during the buying process at roughly nine in ten. That shift is reshaping how B2B organizations approach discovery, evaluation, and purchase across marketing, sales, product, and customer success functions.
Salesforce, ServiceNow, Atlassian, and Monday.com: How CRM, NOW, TEAM, and MNDY Survive the Agentic AI Era
Four enterprise software franchises that defined the last software decade entered the summer of 2026 carrying the same wound. Salesforce trades near $152, down roughly a third on the year and off 38% from where it stood twelve months ago. ServiceNow, having executed a five-for-one split in December, changes hands around $95 after surrendering more than half its value from the 2025 peak. Atlassian sits in the low $80s, down some 45% year to date and roughly 74% off its one-year high. Monday.com, the smallest of the group, has lost about 73% over a year and trades in the mid-$60s against a 52-week high near $317.
AI, Semiconductors, and Enterprise Technology: Selected Conference Calendar, 2026–2027
The May–June 2026 technology conference window is unusually dense, reflecting the sector’s attempt to process several simultaneous inflection points: the industrial deployment of AI beyond the pilot phase, the semiconductor supply chain’s geographic rebalancing, and the maturing of open hardware architectures from academic interest into commercial infrastructure. For investors and operators tracking these transitions, the conference calendar functions less as a social calendar and more as a forward indicator — announcement timing, speaker cancellations, and floor traffic are often more informative than the formal presentations.
11% Is Not a Bug. It's the Starting Gun.
xAI is running its 550,000-GPU Colossus fleet at roughly 11% model FLOPs utilization. An internal memo from infrastructure lead Michael Nicolls confirmed the figure and set a target of 50% — a number that sits at the high end of an industry range where even the best operators, Meta and Google, are only achieving 43–46%. For a company that built the world’s largest AI supercomputer in 122 days, the software stack is still catching up to the hardware.