Happy Thursday. The big model story today is Mira Murati's Thinking Machines releasing Inkling, its first fully open-weights multimodal model trained from scratch — a direct shot across the bow at closed incumbents. Meanwhile, Anthropic is actively lining up investor meetings for a potential October IPO, racing OpenAI to the public markets, and the enterprise AI deployment gap remains stark: 85% of companies are piloting agents but only 5% have shipped to production.
Thinking Machines Lab — founded by former OpenAI CTO Mira Murati — made its public debut with Inkling, an open-weights multimodal model that prioritizes low cost and censorship resistance, while OpenAI detailed GPT-Red, an automated self-play red-teaming system designed to harden its own models against prompt injection.
AI chip supply-chain signals are unambiguously bullish — ASML raised its sales forecast a second time this year on surging AI chip demand, TSMC's Q2 profit is on track for a record, and the US eased export controls on UAE — while data center build-out continues at scale with a 1.4GW campus announced in Texas and ongoing political friction over local moratoriums.
Anthropic is the headline deal story, actively scheduling investor roadshows ahead of a potential October IPO that would beat OpenAI to the public markets, while neocloud QumulusAI went live on Nasdaq today via direct listing — a signal that AI infrastructure plays are finding public-market appetite.
The gap between AI agent ambition and reality was the defining theme at VB Transform 2026: Amazon's AGI director warned that reliability — not capability — is the bottleneck blocking production deployments, while Cohere and a broader industry survey confirmed that enterprises are still largely calling chatbots 'agents' and consolidating on model-provider platforms like Claude.
Enterprise AI deployment stories today ranged from Meta's infrastructure VP warning organizations have '20 months' to rebuild for agentic AI, to xAI taking the rare step of suing a user who weaponized Grok to generate CSAM — illustrating both the urgency of the transformation and the real-world harms already materializing.
Legal pressure on AI companies is mounting on two fronts: Google faces a new copyright lawsuit over allegedly scraping millions of books to train Gemini, and xAI sued a user for weaponizing Grok to generate CSAM — while OpenAI proactively published a 'reverse federalism' AI governance framework and MeitY flagged AI-driven cyber threats to India's financial sector.
India's AI story today spans governance and ground-level deployment: MeitY's threat report flags AI cyber-risk to the financial sector, Karnataka announced a green data centre and AI university at Google I/O Connect India, and Bolna AI is actively deploying voice agents for enterprises — while Wipro's chairman frames complex AI adoption as the strategic lifeline for Indian IT services.
Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents — Based on real data from 101 enterprises, this piece punctures the agent hype with uncomfortable precision: the industry is mislabeling chatbots as agents, consolidating on Claude not by design but by model gravity, and has almost no one in actual production. For any strategist making buy-versus-build decisions on enterprise AI, this is the sanity check that reframes the whole stack. Read →