For decades, procurement has been the back office that enterprise software forgot. Billions of dollars flow through vendor negotiations, purchase orders, and supplier communications every year at the largest manufacturers and construction companies in the country — and the vast majority of that work still runs on email threads, spreadsheets, and phone calls.

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The age of agentic AI is upon us — whether we like it or not. What started with an innocent question-answer banter with ChatGPT back in 2022 has become an existential debate on job security and the rise of the machines.

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The funding marks a significant escalation in the race to apply AI not just to software and content generation, but to the physical infrastructure that powers modern life. While most AI investment headlines have centered on large language models and generative tools, ThinkLabs is pursuing a different and arguably more consequential application: using physics-informed AI to model the behavior of electrical grids in real time, compressing engineering studies that once took weeks or months into minutes.

The announcements, which also include a new Color Mode for Premiere Pro, the addition of Kling 3.0 video models to Firefly's growing roster of third-party AI engines, and Frame.io Drive — a virtual filesystem that lets distributed teams work with cloud-stored media as though it lived on their local machines — represent Adobe's clearest signal yet that it views agentic AI not as a feature upgrade but as a fundamental reshaping of how creative work gets done.

The new model is priced at $5 per million text input tokens and $19.50 per million image output tokens, a roughly 41% reduction from MAI-Image-2's pricing of $5 and $33, respectively, for those same tiers. Microsoft says the model runs 22% faster than its flagship sibling and achieves 4x greater throughput efficiency per GPU, as measured on NVIDIA H100 hardware at 1024×1024 resolution. The company also claims it outpaces competing hyperscaler models — specifically naming Google's Gemini 3.1 Flash, Gemini 3.1 Flash Image, and Gemini 3 Pro Image — by an average of 40% on p50 latency benchmarks.

In an exclusive interview with VentureBeat, Willem Avé, Block's head of product at Square, described Managerbot as a decisive break from the company's earlier Square AI assistant, which functioned as a reactive chatbot that answered seller questions about sales, employees, and business performance.

The announcements, which also include a new Color Mode for Premiere Pro, the addition of Kling 3.0 video models to Firefly's growing roster of third-party AI engines, and Frame.io Drive — a virtual filesystem that lets distributed teams work with cloud-stored media as though it lived on their local machines — represent Adobe's clearest signal yet that it views agentic AI not as a feature upgrade but as a fundamental reshaping of how creative work gets done.

For decades, procurement has been the back office that enterprise software forgot. Billions of dollars flow through vendor negotiations, purchase orders, and supplier communications every year at the largest manufacturers and construction companies in the country — and the vast majority of that work still runs on email threads, spreadsheets, and phone calls.

The new model is priced at $5 per million text input tokens and $19.50 per million image output tokens, a roughly 41% reduction from MAI-Image-2's pricing of $5 and $33, respectively, for those same tiers. Microsoft says the model runs 22% faster than its flagship sibling and achieves 4x greater throughput efficiency per GPU, as measured on NVIDIA H100 hardware at 1024×1024 resolution. The company also claims it outpaces competing hyperscaler models — specifically naming Google's Gemini 3.1 Flash, Gemini 3.1 Flash Image, and Gemini 3 Pro Image — by an average of 40% on p50 latency benchmarks.

The software industry is racing to write code with artificial intelligence. It is struggling, badly, to make sure that code holds up once it ships.