Welcome executives and professionals. A hallmark of early technological adoption is that it is concentrated, in both a small number of geographic regions and a small number of tasks in firms.

Since the previous edition, we have reviewed hundreds of the latest insights in agentic and generative AI, spanning best practices, case studies, market dynamics, and innovations.

This briefing outlines what is driving material value — and why it’s important.

Note: Previously published as Generative AI Enterprise, this briefing is now titled Enterprise AI Executive.

In today’s briefing:

• Anthropic analyzes 1M API interactions.

• BCG explores AI workforce strategies.

• Google publishes AI agent guide.

• The State of Vibe Coding.

• Transformation and technology in the news.

• Career opportunities & events.

Read time: 4 minutes.

MARKET INSIGHT

Anthropic analyzes 1M API interactions

Brief: Anthropic’s latest Economic Index includes analysis of 1M first-party API interactions from Aug 2025, providing first-of-its-kind data-driven insight into how enterprises leverage Claude to complete tasks.

Breakdown:

• First-party API interactions capture direct Claude API calls, excluding use via platforms like AWS Bedrock or the ‘Claude for Work’ UI app.

• The top four enterprise use cases concentrate on software development, followed by content generation and data analysis (see graph above).

• 77% of API use is automation, delegating tasks with minimal iteration. As noted, Claude for Work, more augmentation-inclined, isn't included.

• Enterprises value model performance over cost; high-fee tasks such as coding dominate current traffic, signaling limited price sensitivity.

• Findings show that curating the right context for models is important for high-impact deployments of AI in complex domains.

Why it’s important: Anthropic’s analysis underscores the pervasiveness of enterprise AI software development and limited price sensitivity, as firms prioritize feasibility. Critically, they emphasize context, orchestrating tools and tasks around models to enable differentiated AI deployment.

BEST PRACTICE INSIGHT

BCG explores AI workforce strategies

Brief: BCG examined how AI is reshaping tasks, required skills, and team collaboration. Enterprises have the opportunity to shape this transformation, and position themselves for long-term competitive advantage.

Breakdown:

• Enterprises are onboarding AI, from general-purpose tools like ChatGPT to ERP integrations and specialized solutions.

• Tech workers, closest to AI-driven change, are first impacted. Their evolving roles offer a model for changes across enterprise functions.

• Most firms remain in tool-based AI adoption; fewer advancing to workflow transformation or agent-led orchestration.

• AI’s taking on more tasks, roles are converging, skills are shifting, and hierarchies flattening, indicators of a radically different workplace.

• Four distinct talent archetypes are emerging, each tied to a unique combination of strategic ambition and talent philosophy (image above).

Why it’s important: What seems advanced today will be standard by 2030, if not before. Recognizing your organization’s talent archetype helps leaders prioritize redesign of roles, teams, and workforce strategies. Advantage will stem from how decisively leaders rethink teams, not just technology.

BEST PRACTICE INSIGHT & CASE STUDIES

Google publishes AI agent guide

Brief: Google published a 64-page guide on AI agents, covering core concepts, architecture, and operational principles for production, while highlighting case studies and accelerators to help accelerate adoption.

Breakdown:

• Moving agents from prototype to production requires addressing non-determinism, validating reasoning paths, and more.

• The guide presents a systematic approach for developers building agentic systems, including a Agent Start Pack (image above).

• Section 1 introduces AI agent concepts, core components, Google Cloud’s agent ecosystem, and explains the role of grounding.

• Section 2 covers architectural choices for building production agents, governance and agent workforce scaling strategies.

• Section 3 addresses AgentOps principles to ensure correctness, reliability, performance, safety, and operational scalability.

Why it’s important: The journey from prototype to production requires disciplined engineering. By leveraging operational principles in this guide, you can move beyond informal “vibe-testing” to a rigorous, reliable process for building and managing your agent’s entire lifecycle.

MARKET INSIGHT

The State of Vibe Coding

Brief: Vercel, creators of Next.js in 2016 and more recently the vibe coding platform v0, released a 15-page State of Vibe Coding report. It examines adoption trends, challenges, and enterprise scenarios.

Breakdown:

• Over the past six months, vibe coding has been reinventing the “rules” about who can code and how fast they can do it.

• Insights cover which teams are vibe coding, how platforms are evolving, vulnerabilities, guardrails, and future enterprise scenarios.

• Optimistic scenario: Vibe coding goes mainstream, enabling rapid custom builds. Enterprise coders become system architects/AI orchestrators.

• Conservative scenario: Vibe coding suits prototyping and low-stakes apps, while traditional coding handles complex, enterprise software.

• Likely middle path: By the late 2020s, AI-generated code becomes routine, integrated into standard development like syntax highlighting.

Why it’s important: The vibe coding transformation is unfolding in real time, with English as the fastest growing programming language. The question is no longer whether this shift will reshape businesses, but whether organizations can establish the guardrails needed to harness it safely and effectively.

Vista Equity Partners, a $100B+ AUM enterprise software PE firm, published its perspective on agentic AI and where it is likely to create value.

BCG, with OpenAI, examined how gen AI is poised to transform the car-buying experience, and shared its comms function AI transformation approach.

ISG’s 34-slide State of Enterprise AI Adoption surveyed 400 senior AI decision makers, finding 1 in 3 of the most funded uses cases are in production today.

Allianz released a 20-page report on the rise of agentic AI, covering economic opportunity, social costs, and policy levers for supporting industry evolution.

Deloitte outlined AI trends across agentic, physical, and sovereign AI, and how scaling AI agents may be risky without an enterprise marketplace.

HFS Research highlighted how many vendors brand copilots and automation flows as “agentic AI,” urging enterprises to stop falling for ‘agentic-washing.’

SVPG explored the Forward Deployed Engineer (FDE) role, embedding technical staff with customers to deeply understand problems and deliver outcomes.

OpenAI shared ChatGPT consumer product data since its launch in November 2022, with adoption by roughly 10% of the world’s adult population.

Google introduced the Agent Payments Protocol with backing from 60+ financial/tech firms, and added Gemini-Chrome integration in the U.S.

Microsoft added Copilot Chat and agents across its 365 apps, integrating AI into a sidebar for fast, seamless access in Word, Excel, and others.

OpenAI introduced GPT-5 Codex, is hiring robotics researchers, and cut Microsoft's revenue share from ~20% to 8% by 2030, saving $50B+.

Workday announced a $1.1B acquisition of AI startup Sana, aiming to transform the platform into the “new front door for work”.

The U.S. and UK signed the Technology Prosperity Deal on AI, nuclear, and quantum. Separately, the U.S. added a $100,000 fee on H-1B visas.

China banned firms like ByteDance and Alibaba from buying Nvidia AI chips, while research on SpikingBrain 1.0 shows substantial hardware speed gains.

DeepSeek released a paper detailing the tech details behind its R1 model that shook up the AI space in January, detailing that it cost “$294,000” to train.

Google DeepMind CEO Demis Hassabis said the top skill for the next generation is “learning how to learn”, crucial as AI reshapes work.

CAREER OPPORTUNITIES

Palo Alto Networks - AI Transformation Lead

BlackRock - Head of AI Transformation

The University of Chicago - Applied AI Director

EVENTS

Microsoft - Copilot & AI Agents Summit - September 23, 2025

INSEAD - AI Forum Americas - September 25, 2025

Institute for AI Transformation - Leaders in AI Summit, October 28-29, 2025

Originally conceived as a practical communication for executives the editor, Lewis Walker, has worked with, this briefing now serves as a trusted resource for thousands of senior decision-makers shaping the future of enterprise AI.

If your AI product or service adds value to this audience, contact us for information on a limited number of sponsorship opportunities.

We also welcome feedback as we continue to refine the briefing.