Welcome, AI Professionals.

Using AI and being transformed by it are two different things. Most enterprises are doing the first while assuming it counts as the second. This week's reports expose that gap, and the engineering teams rebuilding their entire workflow around agents show what closing it actually looks like.

In Today's Briefing:

The value gap: Publicis Sapient finds 73% of enterprises use AI regularly, but only 10% call it core.

Dev speed: Notion cuts development time from two weeks to three hours with OpenAI Codex.

Infrastructure: Broadcom finds private cloud is becoming the home for production AI.

Productivity: Google Cloud reports UK midsize firms gain a full working day per week from AI.

Thought Leadership

Publicis Sapient: 73% of Enterprises Use AI Regularly, but Only 10% Call It Core

Publicis Sapient's 2026 Global Enterprise AI Report, based on 1,550 AI decision-makers across six markets, reveals a gap between adoption and value. While 73% of enterprises use AI regularly, only 10% say it is core to how their business operates, and 42% lack the organizational structure to capture AI's value. The data points to workflow redesign and operating-model change — not just technology — as the path to transformation, with the UK leading at 51% reporting fundamental transformation.

Publicis Sapient

Key Insights

  • 73% of enterprises are using AI regularly, indicating a high level of adoption across industries.
  • Only 10% of organizations consider AI to be core to their operations, highlighting a significant readiness gap in fully integrating AI into business strategies.
  • Success in AI implementation is closely tied to redesigning workflows, suggesting that leaders must prioritize process optimization to leverage AI effectively.
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Enterprise AI Hits a Tipping Point, With Private Cloud Becoming the Home for Production AI

Broadcom's Private Cloud Outlook 2026 report argues enterprise IT has reached the AI tipping point — moving from experimentation to running AI in production at scale. The research finds private cloud emerging as the preferred platform for production AI because it addresses security, cost predictability, data sovereignty and governance. The shift signals a maturing phase where infrastructure decisions, not model hype, increasingly determine enterprise AI success.

The Register

Key Insights

  • Enterprise IT has reached a tipping point in AI adoption, with private cloud becoming the preferred platform for deploying AI in production environments.
  • Private cloud offers advantages such as enhanced security, cost predictability, and improved data sovereignty, making it an attractive option for organizations.
  • Governance considerations are increasingly important in AI deployment, emphasizing the need for leaders to establish robust frameworks to manage AI systems effectively.
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Case Studies

How Preply Uses OpenAI to Personalize Language Learning at Scale

Preply, the world's largest online language-learning marketplace, used OpenAI to strengthen — not replace — the tutor-student relationship by automating repetitive tasks like lesson notes and personalized plans. Its AI-powered Lesson Insights reached 70%+ active tutor adoption with a 4.7/5 satisfaction rating, and 95% of Preply employees use ChatGPT weekly. The result is more time for the human energy, motivation and cultural nuance tutors provide.

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How Nextdoor Engineers Build Faster With OpenAI Codex

Nextdoor, which serves over 110 million users across 11 countries, deployed OpenAI's Codex so product engineers can build without limits. Per Head of Engineering Cory Dolphin, Codex moves teams away from iteratively prompting an agent and toward 'outcome engineering' — letting individual engineers own product experiences end-to-end across multiple platforms instead of staying locked into one system or framework. Codex autonomously investigates issues and accelerates feature development.

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What OpenAI Codex Unlocks for Notion: Dev Time From 2 Weeks to 3 Hours

Notion uses OpenAI's Codex to one-shot specs and multiply its engineering power, reducing development time from two weeks to three hours on targeted work. The company is rethinking the software primitives and abstractions it builds so agents can use them effectively, and even managers who hadn't written production code in years are shipping alongside their teams. It is a case study in re-architecting engineering around agentic coding.

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AI Company Spotlight

Sennu AI logo

Sennu AI

Sennu AI rolls out Claude across the enterprise.

Sennu AI offers a powerful AI solution named Claude, designed to enhance enterprise operations. With a focus on secure cloud deployment, Sennu AI ensures that businesses can leverage advanced AI capabilities while maintaining data security and integrity. The solution is tailored for various departme...

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Latest News

Subquadratic's SubQ Model Promises Major Advances in LLM Efficiency

Subquadratic's SubQ model claims to process up to 12 times more text than current leading LLMs, promising a transformative impact on AI applications, though its real-world testing remains limited.

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pWin.ai Enhances Proposal Management Efficiency Within Microsoft Word

With the pWin.ai Word Add-in, proposal teams can now refine their documents directly within Microsoft Word, leveraging AI-driven insights that streamline the proposal process and enhance collaboration.

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UK Midsize Businesses Achieve Productivity Gains Through AI Adoption

Midsize businesses in the UK are increasingly leveraging AI to optimize operations and drive productivity, uncovering new competitive advantages in the process. With tools like Google Cloud AI, these firms are not only streamlining tasks but also ...

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Google Cloud: UK Midsize Businesses Gain a Full Working Day a Week From AI

Google Cloud detailed how UK midsize businesses are adopting AI to lift productivity. Research shows 71% of UK AI adopters save time on routine tasks and 64% report a direct productivity boost, while tools like Google Workspace with Gemini deliver...

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NVIDIA Blackwell Dominates MLPerf 6.0 with Unmatched AI Training Performance

The NVIDIA Blackwell platform not only delivers the fastest training speeds but also redefines scalability in AI, enabling businesses to accelerate their model development and drive innovation.

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Sensi's $100M Investment Highlights AI's Role in Elder Care Solutions

With the demand for seniors to age in place rising, AI technologies like Sensi.ai are becoming crucial for enhancing safety and independence, offering both peace of mind to families and a competitive edge for home care providers.

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Databricks Launches Genie One, an Agentic Coworker Grounded in Enterprise Data

At its Data + AI Summit, Databricks launched Genie One, an agentic coworker that helps business teams automate work using real enterprise data. Its Genie Ontology context layer continuously learns from Databricks plus 50+ connected apps (Google Dr...

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