---
title: The 2026 Enterprise AI Strategy Pulse Survey | Plug and Play
description: Discover the crucial step most top companies miss in enterprise AI adoption. New research shows 74% use AI, but half fail to measure its value.
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---

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## The 2026 Enterprise AI Strategy Pulse Survey

Traverse the shift from AI experimentation to execution, discovering how top Fortune 500 leaders are overcoming data bottlenecks, navigating hybrid build-versus-buy model selection, and driving measurable ROI in production environments.

### Download now

# Breaking Down the Enterprise Value of AI Pilots

 

### AI is transforming business operations across every industry. Yet, many companies struggle to scale beyond the pilot phase due to challenges in data management, governance, and security.

Drawing on insights from 41 executives across Fortune 500 and Forbes Global 2000 companies, this report provides an unflinching glimpse into deployment benchmarks, trust criteria, and the systemic foundations that shape AI adoption globally.

## Key Insights From the Ebook

- Learn how modern enterprise leaders decide **hybrid build-versus-buy strategies**, and how nearly two-thirds combine proprietary internal IP with external software to retain a competitive advantage.
- Understand why **92%** **of enterprise buyers prioritize data privacy, compliance, and explainability** over raw model performance when evaluating new vendors and AI tools.
- Explore how corporate priorities are shifting away from back office automation toward value-measurable knowledge, strategy, and engineering use cases, and why **34% of organizations are actively adopting autonomous agents**.

## Amit Patel

### *Partner, Ventures, Plug and Play*

### “Enterprise AI has crossed the deployment threshold, but not the value threshold. Nearly three-quarters of the enterprises we surveyed have AI in production, yet half still cannot consistently measure ROI.

### The next chapter is less about the models themselves and more about the operating foundations around them: better data, governance, integration, ownership, and measurement. Enterprises that pull ahead will be those that consistently translate production deployments into tangible business outcomes.”

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