GenAI Daily - April 23, 2026: Google's AI Code Milestone, Vodafone-Google Partnership, Enterprise Scaling Accelerates
Top Stories
Google Hits 75% AI-Generated Code Milestone - Major Internal Shift
Google has revealed that AI now generates 75% of all new code at the company, up from 50% last fall. CEO Sundar Pichai said agent-assisted workflows completed a complex code migration six times faster than a year ago.
The company is pushing engineers to adopt coding assistants, factoring some AI adoption goals into performance reviews, and allowing select teams to use third-party tools such as Claude Code.
The combination of models plus agents marks a shift from single-shot generation toward automated pipelines that chain generation, testing, and deployment tasks. Google is now shifting to truly agentic workflows.
Hitting 75% means Google has exited the experimental phase and entered operational dependency. That is a meaningfully different posture, and it carries real risk alongside the productivity gains.
Why it matters: This sets a new industry benchmark for AI code generation at scale, showing what's possible when organizations fully commit to AI-assisted development.
Vodafone Business Launches Enterprise AI Solutions with Google Cloud
Vodafone Business and Google Cloud announce an expansion of their strategic partnership with two new solutions to equip small-and medium-sized businesses (SMBs) with advanced cybersecurity and agentic AI. Next-generation managed detection and response (MDR) Vodafone Business is launching a new managed detection and response (MDR) service enabled by Google Security Operations. It will enhance protection for customers from increasingly frequent and sophisticated cyber threats.
The solution brings together Google's global security analytics and AI-driven threat intelligence, alongside Vodafone's expertise in serving the SMB market across Europe, allowing businesses to identify and mitigate threats in real-time. The service is scheduled for an inaugural launch in Germany - adhering to the region's stringent data protection standards - before rolling out across additional European markets later this year.
Vodafone Business Press Release
Why it matters: This partnership makes enterprise-grade AI security accessible to SMBs, addressing a critical gap in the market and showing how major cloud providers are expanding AI deployment through telco partnerships.
NeoCognition Emerges with $40M to Build Self-Learning AI Agents
NeoCognition, a startup developing self-learning AI agents, has just emerged from stealth with $40 million in seed funding. The round was co-led by Cambium Capital and Walden Catalyst Ventures, with participation from Vista Equity Partners and angels, including Intel CEO Lip-Bu Tan and Databricks co-founder Ion Stoica.
NeoCognition views this capacity for rapid specialization as the critical missing link to getting AI to work reliably on its own. While it is possible to train agents for autonomous tasks, they must be custom-engineered for a specific vertical. NeoCognition is different because it's building agents that are generalists capable of self-learning and specializing in any domain.
NeoCognition intends to sell its agent systems primarily to enterprises, including established SaaS companies, which can use them to build agent workers or to enhance existing product offerings. Su highlighted that an investment from Vista Equity Partners is especially valuable for this reason. As one of the largest private equity firms in the software space, Vista can provide NeoCognition with direct access to a vast portfolio of companies looking to modernize their products with AI.
Why it matters: This represents a significant bet on adaptive AI agents that can learn across domains, potentially solving the customization bottleneck that limits current agent deployments.
Key Developments
EY Launches Enterprise-Scale Agentic AI for Auditing
EY is directly embedding a new multi-agent framework, integrated with Microsoft Azure, Microsoft Foundry and Microsoft Fabric, into EY Canvas - the single, global Assurance technology platform that processes more than 1.4 trillion lines of journal entry data per year. Encompassing the daily workflows of 130,000 Assurance professionals across 160,000 audit engagements and more than 150 countries and territories, these capabilities will help audit teams orchestrate complex tasks, processes and technologies, and address risks more dynamically.
EY is part of the inaugural class of the Frontier Firm AI Initiative, a collaboration between Microsoft and The Harvard Digital Data Design Institute, and one of only 14 participating organizations recognized for deploying advanced AI at scale. Judson Althoff, CEO of Microsoft commercial business, says: "EY's pioneering use of Microsoft's cloud and AI solutions shows what is possible when advanced technology is deployed at enterprise scale."
Impact: This deployment shows how professional services firms are embedding AI agents into core business processes at unprecedented scale.
Databricks Announces Agent Bricks Platform for Enterprise Governance
Today, Databricks announced the general availability of Document Intelligence and Custom Agents, along with new capabilities across the platform, including AI Gateway, to help you build, govern, and secure enterprise agents grounded in rich context from your data. "With Agent Bricks, we're not building one-off AI projects, we're building an enterprise AI fabric. Interoperability, identity-first security and governance were designed from day one, so our agents behave like any other mission-critical system, not a science experiment."
Thousands of organizations across financial services, retail, healthcare, and technology have deployed production agents at scale on Agent Bricks, including Workday, Virgin Atlantic, Zapier, EchoStar, and AstraZeneca. Teams are building agents that deliver continuous market analysis to hundreds of analysts, orchestrate workflows across supply chain, procurement, and R&D systems, solve employee requests for complex service tasks automatically, and detect and resolve anomalies in marketing campaigns before advertising dollars are wasted.
Impact: This platform addresses the governance and security challenges that have been holding back enterprise agent adoption.
Equinix Launches Fabric Intelligence for AI Infrastructure
Equinix announced the availability of Equinix Fabric Intelligence™, an AI-native operational layer to manage network infrastructure. Fabric Intelligence enables enterprises to deploy AI-powered networking across their operations, a shift from legacy software-defined networking design to simplify the complexities of today's AI workflows. Powering the Equinix Distributed AI™ Hub, Fabric Intelligence introduces smart automation for deploying, optimizing and maintaining global infrastructure.
A private, dedicated connectivity marketplace that allows enterprises to access AI service providers that offer inference, training, storage, security and other foundational AI components without exposing sensitive data to the public internet. This enables secure development and deployment of next-generation AI applications and agentic workflows.
Impact: This infrastructure-as-a-service approach for AI workloads addresses the networking complexity that enterprises face when scaling distributed AI applications.
Product Launches
Loop Raises $95M for Supply Chain AI Prediction Platform
Loop closed a Series C funding round led by Antonio Gracias' firm Valor, which is a major backer of xAI. The round was led by Valor Equity Partners and the Valor Atreides AI Fund, and includes investments from 8VC, Founders Fund, Index Ventures, and J.P. Morgan's late-stage fund, Growth Equity Partners.
Loop founder Antonio Gracias said: "Loop went deep into one of the hardest parts of the supply chain and turned it into an advantage for their customers. Through the AI systems they've built, they're taking data that was previously fragmented and inaccessible and are turning it into intelligence that improves cost, processes, and working capital."
Why it matters: This funding demonstrates growing investor confidence in AI applications that solve complex logistics challenges, particularly in supply chain prediction and optimization.
Funding & Deals
AMI Labs Raises $1.03B Seed for World Models - UPDATE
AMI Labs, the new venture co-founded by Turing Award winner Yann LeCun after he left Meta, has raised $1.03 billion at a $3.5 billion pre-money valuation. AMI is working on world models, or AI that learns from reality, not just from language. "My prediction is that 'world models' will be the next buzzword," AMI Labs CEO Alexandre LeBrun told TechCrunch. "In six months, every company will call itself a world model to raise funding." LeBrun said this with a smile because he thinks AMI Labs is fundamentally different: Its goal is to understand the real world.
The round was co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions, with participation from several other funds and industry-tied backers, as well as individuals, including Tim and Rosemary Berners-Lee, Jim Breyer, Mark Cuban, Mark Leslie, Xavier Niel, and Eric Schmidt.
Why it matters: This massive seed round signals a potential paradigm shift toward AI that understands physical reality, moving beyond language-only models.
Gizmo Secures $22M Series A for AI Learning Platform
Gizmo, an AI-powered learning platform, has attracted more than 13 million users and just secured $22 million in Series A funding. The Series A round was led by Shine Capital, with participation from Ada Ventures, Seek Investments, GSV, and NFX, which previously led Gizmo's $3.5 million seed round.
The funding will go toward expanding Gizmo's engineering and AI teams, as well as expanding its presence in the U.S. college market.
Why it matters: Strong user adoption and funding growth in AI-powered education platforms indicates growing market acceptance of AI tutoring and personalized learning solutions.
*Related reading: Check out this week's [Deep Insights analysis] for strategic context on these developments.
