AI News Roundup: Anthropic Overtakes OpenAI in Enterprise Spending, OpenAI Launches $4B Consulting Arm, Google I/O Preview

Anthropic Overtakes OpenAI in US Enterprise AI Spending

For the first time, Anthropic has surpassed OpenAI in business AI adoption. According to the May 2026 release of the Ramp AI Index — which tracks spending patterns across more than 50,000 US businesses — Anthropic’s share rose 3.8% in April to 34.4% of businesses, while OpenAI’s fell 2.9% to 32.3%.

The crossover represents a dramatic reversal. Anthropic has quadrupled its business adoption over the past year, climbing from under 8% in April 2025 to its current position. The primary driver: Claude Code, the company’s agentic coding tool, which has become the fastest-growing product in Anthropic’s history. However, analysts warn that Anthropic’s position may be fragile — threatened by escalating compute costs, infrastructure constraints, and the token-based pricing model that fueled this growth.

OpenAI Launches $4 Billion Deployment Company

In what looks like a direct response to its enterprise market share erosion, OpenAI launched the OpenAI Deployment Company on May 11 — a standalone consulting entity backed by more than $4 billion from 19 private equity firms. TPG leads the investment, with Advent, Bain Capital, and Brookfield as co-lead founding partners. OpenAI holds majority ownership and control.

The new unit will embed AI deployment engineers directly inside client organizations. To jumpstart operations, OpenAI simultaneously acquired Tomoro, an applied AI consulting firm, gaining roughly 150 engineers and deployment specialists on day one. The move signals that OpenAI sees enterprise implementation — not just model capability — as the next competitive frontier.

Google I/O 2026: Android XR Glasses and Gemini Intelligence Arrive May 19

Google’s developer conference kicks off next Monday with what may be its most ambitious AI showcase yet. The company will officially unveil Android XR smart glasses built in partnership with Samsung, Gentle Monster, and Warby Parker — available in two configurations: a display-free pair with camera, speakers, and microphones for hands-free Gemini interaction, and a second version with an in-lens display for navigation and real-time translation.

The bigger story may be Gemini Intelligence, Google’s rebrand of its agentic AI push. The system will move across apps, understand screen context, and complete multi-step tasks autonomously. CEO Sundar Pichai has framed the shift as moving Android from an operating system to an “intelligence system.” Also expected: Googlebooks, a new category of premium Android-powered laptops from Acer, ASUS, and Lenovo shipping this fall.

SAP Unveils “Autonomous Enterprise” Powered by Anthropic’s Claude

At SAP Sapphire, the enterprise software giant launched its Autonomous Enterprise vision, with Claude embedded across its entire AI-enabled product portfolio. The SAP Business AI Platform now deploys more than 200 AI agents via its Joule assistant across finance, HR, procurement, and supply chain — all powered by Anthropic’s reasoning model.

The partnership represents a major enterprise validation for Anthropic. SAP demonstrated a use case where a Treasury Manager asks Joule to prepare a CFO briefing, receiving a completed presentation with live data, analysis, and flagged risks in minutes rather than hours. SAP also introduced Joule Spaces, an app-less environment where agents collaborate without requiring traditional software interfaces.

Google Unveils 8th-Gen TPUs: Two Chips for the Agentic Era

Google is splitting its AI silicon strategy in two. The TPU 8t (training) scales to 9,600 chips in a single superpod with two petabytes of high-bandwidth memory and 121 exaflops of FP4 compute — nearly triple the per-pod performance of the previous Ironwood generation. The TPU 8i (inference) targets AI agents and long-context reasoning with 288 GB of HBM3e memory, 10.1 FP4 PFLOPs peak performance, and a new Collectives Acceleration Engine that cuts synchronization latency by 5x.

The dual-chip approach reflects the industry’s diverging compute needs: training requires massive throughput for increasingly large models, while inference demands low-latency responsiveness for real-time agentic workloads. Both chips arrive later this year as part of Google’s AI Hypercomputer stack.

Novo Nordisk Taps OpenAI for End-to-End Drug Discovery Pipeline

The world’s largest obesity-drug maker announced a sweeping partnership with OpenAI to integrate AI across its entire operation — from drug discovery and clinical trials to manufacturing, supply chains, and commercial functions. Pilot programs are underway with full deployment targeted by end of 2026, aiming to accelerate identification of new obesity and diabetes treatments.

Novo joins Sanofi, Moderna, Thermo Fisher, and Eli Lilly in signing enterprise AI agreements with OpenAI. The partnership includes workforce upskilling and strict data governance frameworks — a sign that pharma is moving past experimentation into production-scale AI deployment.