How AI Reshapes Enterprise Workflows

Oct 26, 2026

20VC 20VC: Satya Nadella on Open vs Closed Models and AI Ownership

• Satya Nadella Enterprise AI implementation creates work that combines business consulting with technical delivery. Unilever illustrates the path: after starting with a frontier model, it substituted an MAI model for all trade claims at lower cost, with …

Latent Space Supabase’s Plan for a Billion AI-Built Apps

• Ant Wilson Internal AI spending is substantial, but the operating goal is completing entire processes. Ant reports approximately $300,000 monthly for 450 people, with teams largely choosing their own tools. Its async documentation supports …

Oct 25, 2026

David Senra Competition, Intensity & Building a $115 Billion Global Bank | Nik Storonsky, Revolut

• Nik Storonsky AI is already changing operating costs, while smaller product teams remain an organizational redesign in progress. Storonsky says 90% of customer support is automated, following a support organization of more than 5,000 people, and reports a 30% increase …

Oct 23, 2026

The a16z Show Amazon CEO: $220 Billion Still Can’t Meet AI Demand

• Andy Jassy AI changes both staffing requirements and the speed at which software must defend itself. The hosts cite Bedrock rebuilding its inference engine with six engineers in 76 days versus an estimated 40 people for a year, an experience …

No Priors Democratizing Security for the Agentic Web with CloudFlare CTO Dane Knecht

• Dane Knecht Cloudflare OS is used more by go-to-market and administrative teams than by engineering. Marketing has built hundreds of internal tools. One customer-email workflow replaced handoffs across three teams with a product manager …
• AI-native interns are part of Cloudflare’s approach to organizational change. After roughly 200 interns helped their managers adopt AI faster, the approximately 5,000-person company decided to hire 1,000 interns …

Oct 22, 2026

The a16z Show The Frontier Ideas a16z Wants to Fund Now | Marc Andreessen, Ben Horowitz & Chris Dixon

• Marc Andreessen Marc Andreessen’s central claim is that the gap between what AI early adopters know is possible and what incumbents understand “is as wide as I’ve ever seen in my career” — and it’s widening as AI capabilities race ahead week by week. His corollary: employees are adopting AI while their companies aren’t, those employees will leave to start companies, and “startup formation …

No Priors The New Apex Predator: CrowdStrike CEO George Kurtz on Adversaries Armed With AI Agents

• George Kurtz CrowdStrike’s incumbent advantage depends on pairing fresh telemetry with startup operating speed. Kurtz cites approximately 7 trillion events generated daily, but says large teams and year-long schedules cannot keep up. His prescription …

Latent Space Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal

• Erik Bernhardsson Modal grew headcount about 4× annualized, a pace Bernhardsson calls unsustainable, and may reach about 700 people next year. FDEs grew from about four to about 24; he says Modal hasn’t aggressively built a product-management team. Code reviews are optional, backed …

Oct 21, 2026

Latent Space AI in NYC: How Tenex Builds an AI-Native Engineering Team — Alex Lieberman & CJ Hess

• Alex Lieberman 10X’s output-based compensation thesis has largely held up, but the model has needed nuance: Alex says the feared gaming of story points and shipping of bad code have not been concerns, with AI strategists instead incentivized for customer retention and growth. The biggest compensation challenge is accounting for engineers’ non-coding work, such as architecture and client meetings. The …

张小珺Jùn｜商业访谈录 David Qian / ECOVACS: Father & Son, Inside Business Succession, Robotics, and My Search for Meaning

• 钱程 The central lesson from ECOVACS’s succession is that even the right strategy can lose momentum if the organization cannot execute it. Qian Cheng says the direction—exiting OEM manufacturing, moving upmarket and accelerating international expansion—has not changed. The …

Oct 19, 2026

硅谷坐标 Silicon Valley Vector Fireworks CEO乔琳：有PMF也可能破产，AI不是SaaS

• 乔琳 The challenge over the next 18 months is keeping pace with superlinear demand without losing speed. 曹卿云 is focused on preserving efficiency and velocity as the company grows, through a lean, cross-functional structure with end-to-end …

Oct 13, 2026

Invest Like the Best David Vélez - Building Nubank and the Future of Global Banking - [Invest Like the Best, EP.495]

• David Vélez Nubank missed the Opus 4.6 moment in December '25 by 60 days — earlier models were "really awful" at its Clojure code — then went "code red," mapping and reinventing 120 workflows across the company with eval infrastructure at every step. Vélez went from one direct report to 20 and the org from 10 layers to five; he calls it "a bolt of adrenaline" and says much of the …

Oct 8, 2026

The a16z Show Building the Cloud for AI Agents | AWS CEO Matt Garman

• Matt Garman Inside Amazon, agents are already compressing software, product and business workflows—and beginning to reshape team design. Garman says agent-first “frontier teams” manage agents that write all the code, while HR and finance employees build their own agents for …

Oct 7, 2026

硅谷坐标 Silicon Valley Vector AI’s Next Leg: 11 Silicon Valley Practitioners

• 硅谷坐标 Silicon Valley Vector AI use carries a hidden cost that does not appear on the token bill: teams may outsource the thinking process itself. Guests warned that engineers who take only the answer and skip the process of arriving at it lose the opportunity to learn. Companies …

Sep 30, 2026

David Senra From HOA Management to $4B in Revenue & $6.3B Deal for Amex GBT | Alexander Taubman, Long Lake

• Alexander Taubman Long Lake’s thesis is productivity-led growth, not the familiar private-equity playbook of replacing employees and cutting costs. If AI makes a worker 50% more productive, improves customer retention, and creates capacity for 50% more clients, Taubman’s response is to …
• Ownership supplies the alignment needed to change workflows, but Long Lake still refuses to mandate adoption. Taubman describes roughly 30,000 global team members as Nexus’s customers and design partners: “If we have to force someone to use our Nexus …

Sep 28, 2026

20VC Higgsfield's Mashrabov: $1B ARR in 18 months; AI moats are BS

• Alex Mashrabov Internal model spend exceeds $4M/month across close to 400 people — over $10K per head — including a creative who spent “over $30K in a week on Astra” vibe-coding a workflow the product lacked. Mashrabov expects 10X engineers and creatives to reach $50K–$100K/month with salaries correlating upward, but pushes back on team shrinkage: …

Sep 23, 2026

The a16z Show Replit CEO Amjad Masad on What Young People Should Learn in the AI Era

• Amjad Masad Masad predicts the nature of the firm changes next: Holacracy and GitHub's no-managers experiments “blew up in spectacular ways” because of a technology problem AI may now solve. Agents become the invisible bureaucratic glue, “AI can sort of judge your impact,” and he's already running Replit toward a “self-driving …

卫诗婕｜漫谈 Light the Star 89. NetEase’s 阮良 on AI-Native Organizations and Enterprise Agents

• 阮良 The real AI divide is not whether you use it, but how well you use it. Individual productivity gains still have to pass through processes and convert into organizational throughput. At NetEase, top engineers …
• Enterprise AI has to clear three successive hurdles—awareness, individual adoption, and process redesign—with the third being the hardest. Lengthening one plank does not increase the barrel’s capacity. A true AI-native transformation removes unnecessary steps and may even …
• 阮良 expects the ranks of middle managers carrying out execution and coordination duties to shrink, while frontline elites equipped with AI armies become more common. Teams of 2–3 or 3–4 people will be able to direct large numbers of Agents and draw on company platforms and resources. Frontend, backend and …

Sep 21, 2026

20VC UiPath's Dines: AI Needs Workflows, Not Just Models

• Daniel Dines Workforces will shrink in many functions, but blunt AI layoffs risk removing precisely the initiative, trust, and institutional memory needed to deploy AI successfully. Dines expects fewer credentialed specialists yet greater value for employees who manage exceptions, mentor others, maintain customer …

Latent Space From InstructGPT to Jev: What Comes After ChatGPT — Diogo Almeida, TypeSafe Co-founder & CEO

• Latent Space The macro thesis is explicit: "TFP growth rate: 3% in 5 years." He argues that models are currently tied at roughly zero percent of economically valuable work despite solving hard math problems, predicts …

Sep 20, 2026

David Senra Building One of the Fastest Growing CPG Companies in History | Peter Rahal of David Protein & RXBAR

• Peter Rahal Org design is explicitly speed-over-efficiency: semi-autonomous units with their own P&Ls, duplicated staff where necessary, and a Medici layer for shared services. Rahal says he runs about 25 direct reports, cites Jensen's roughly 60, and defines his job as five permanent duties plus "reactive …