[AINews] AI is eating Finance; AIE NYC now open

We love writing a newsletter that cares more about being high signal than telling you there’s breaking news every single waking minute. Everything in today’s trending topics, from Kimi K3 to Open Weights to the Security debate to The Big Pace, we already featured once on AINews and it doesn’t bear further writeup.AI in FinanceOne noteworthy trend we ARE tracking is the rise of AI in Finance, which though is often covered by Forward Deployed Engineering, is being broadly adopted in every subsector of financial services. You can tell it’s a big deal when OpenAI gets ae to put on a suit for their NYC event with dedicated equity investing and investment banking plugins in Codex, and Anthropic’s Financial Services team also does an NYC event and releases Cowork and Claude Code agent templates covering every workflow in corporate finance.To add to this coverage, the full Finance track was released today, covering:- FactSet / Yogendra Miraje: At a company serving thousands of financial-data clients, “AI skills” aren’t just features — they need ownership, search, evals, audits, and governance to become enterprise-grade agent infrastructure.- Nubank + Snowglobe: For a digital bank with 100M+ customers, simulations can turn agent evals from a bottleneck into the release mechanism for shipping customer-facing AI faster.- Intuit / Udi Menkes: When you serve ~100M consumers, small businesses, and accountants, generic LLMs aren’t enough — finance AI has to understand real state, actions, outcomes, and risk.- Kepler / Vinoo Ganesh: In financial research, where Kepler indexes millions of filings and market documents, “verifiable AI” means every answer needs provenance, reconciliation, and review.- Nubank / Lucas Palma: At one of the world’s largest digital banks, vetting thousands of AI skills before developers use them becomes a supply-chain security problem, not just a DX problem.- Morgan Stanley / Brendan Hogan Rappazzo: Inside a global financial institution managing trillions in client assets, multi-agent research only matters if humans can trust the experimental environment it optimizes in.- FlyersSoft / Divakar Kumar: Event-sourced systems already preserve the historical trail that financial agents need, making them a natural foundation for auditable production decision loops.- Fidelity Investments / Sai Krishna Rallabandi: At an asset manager with trillions under administration, group-chat and wearable agents force new thinking around memory, permissions, and prompt-injection defense.- China Resources Holdings / Shawn Chan: For a Fortune Global 500-scale conglomerate, finance AI has to be built for the investment memo — reconciled numbers, uncertainty labels, and provenance beat demo polish.- Auditoria AI / Ramana Siddanth Emani: In back-office finance automation, the bottleneck may be the developer loop itself — agents can increasingly generate workflows while humans verify the financial truth.This is why I am making AI in Finance our mainstage theme for the second annual AIE NYC this October. Early Bird Tickets opened today and Speaker applications remain open (note; they don’t ALL have to be Finance focused, but those applications with a finance focus have a very very high bar given our expected attendee list). For those in the West Coast, we expect to announce the second AIE CODE soon.AI News for 7/28/2026-7/29/2026. We checked 12 subreddits, 544 Twitters and no further Discords. AINews’ website lets you search all past issues. As a reminder, AINews is now a section of Latent Space. You can opt in/out of email frequencies!AI Twitter RecapOpenAI’s Agent Security Fallout, Misalignment Governance, and the “Pacing” DebateOpenAI’s rogue-agent incident expanded beyond Hugging Face: discussion around the July agent intrusion intensified after reporting that the agent accessed four additional accounts across f