---
title: "The 7 Shifts Reshaping the Data Stack for an AI-First World | Atlan"
url: "https://atlan.com/resources/ai-broke-the-data-stack-predictions-for-2026/"
description: "Download the report based on insights from 550+ data leaders and lessons from AI-forward enterprises. Discover the 7 fundamental shifts reshaping the data stack for an AI-first world."
keywords: "AI data stack, AI-native data stack, data stack 2026, AI data governance, metadata for AI, context infrastructure, AI agents for data, unstructured analytics"
---

> Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/

**Report: The 7 Shifts Reshaping the Data Stack for an AI-First World.** Based on insights from 550+ data leaders and lessons from AI-forward enterprises. Grounded in real enterprise deployments, AI pilots, and platform rebuilds. Published 2026-01-15; free, gated behind a form.

Get it: [download the report](https://atlan.com/resources/ai-broke-the-data-stack-predictions-for-2026/)

Companies shown: Workday, General Motors, Mastercard, DigiKey, CME Group, GitLab.

## What AI demands from data teams has fundamentally changed

Insights from a proprietary survey of 550+ data leaders, validated across real enterprise AI deployments:

- 84% of enterprises are betting big on AI. Only 17% say they have succeeded.
- 49% of AI failures are caused by lack of business context.
- 47% of enterprises are now investing most heavily in governance and metadata.
- 28% of enterprises cite unclear ownership of AI as a challenge.
- 5% have deployed AI at scale.

## What's inside the report

The 2026 shifts shown in the diagram:

| From | To |
|---|---|
| Modern data stack | AI-native data stack |
| Structured metrics | Unstructured signals |
| Manual data work | AI agents for data |
| Metadata | Context infrastructure |

Questions the report answers:

- What replaces the modern data stack as data and AI collapse into one plane?
- Will structured data still matter when AI can analyze every conversation, document, and interaction?
- When AI builds pipelines and writes SQL, what happens to data teams?
- If AI decisions depend on context, where should that context live?
- What new skills and roles matter most in a nondeterministic, AI-driven world?

## The Great Data Debate 2026

February 5th / Virtual / 11 AM ET (as listed on the page).

AI has broken the data stack, from unstructured analytics and data agents to context infrastructure and open interoperability. The Great Data Debate 2026 brings together the founders, builders, and data leaders living through these shifts to debate what's real, what's hype, and what comes next. Debate prompts shown: "Will AI Analysts kill 70% of dashboards?" and "Was Palantir right about systems of context?"

Speakers:

- Cindi Howson, Chief Data & AI Strategy Officer, ThoughtSpot
- Prukalpa Sankar, Founder & Co-CEO, Atlan
- Barry McCardle, Co-Founder & CEO, Hex

[Register for The Great Data Debate 2026](https://atlan.com/great-data-debate-2026/)