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Gartner: $234B in Enterprise Application Software Spend at Risk from Agentic AI

Summarized by AI from reporting by Hacker News AI, published under our editorial policy.

Gartner estimates that $234 billion in enterprise application software spending is at risk of disruption from agentic AI, which can automate complex workflows and reduce the need for traditional software tools.

A digital illustration of an AI agent managing a complex workflow.

Key takeaways

  • Gartner estimates $234 billion in enterprise application software spending is at risk of disruption from agentic AI.
  • AI agents can automate complex workflows such as CRM, ERP, and supply chain management, reducing the need for traditional software tools.
  • The rise of AI agents could lead to more efficient and personalized services for everyday users, such as AI-managed personal finances.

Gartner, a leading research and advisory firm, released a report stating that $234 billion in enterprise application software spending is at risk due to the rise of agentic AI. These AI agents, which automate complex workflows, could reduce the need for traditional software tools by performing tasks autonomously.

## What Are AI Agents and Why They Threaten Enterprise Software AI agents are software programs that can perform tasks autonomously, using AI to make decisions and complete workflows. Unlike traditional software, which requires manual input, AI agents can operate independently, learning and adapting to new situations. For example, an AI agent could manage a company's supply chain, adjusting orders and logistics in real-time based on market conditions, a task that currently requires specialized enterprise software.

## Gartner's $234 Billion Disruption Estimate Gartner's report highlights that AI agents could replace many traditional enterprise software tools. These tools, which companies spend billions on annually, are often used for tasks like customer relationship management (CRM), enterprise resource planning (ERP), and supply chain management. AI agents can perform these tasks more efficiently and at a lower cost, potentially leading to significant savings for businesses and putting a large portion of current software spending at risk.

## Broader Implications for Everyday Users While the report focuses on enterprise software, the implications extend to everyday users. As AI agents become more prevalent, they could lead to more efficient and personalized services. For example, an AI agent could manage your personal finances, adjusting investments and budgets based on your spending habits and market trends. This could make financial management more accessible and less time-consuming for the average person.

## Exploring AI Agents Today If you're interested in exploring AI agents, you can start by looking into tools like Microsoft's Copilot or Google's Duet AI. These tools offer AI-powered assistance for various tasks, from writing emails to managing schedules. You can also experiment with personal finance apps that use AI to help you budget and invest. By trying these tools, you can get a sense of how AI agents might impact your daily life in the future.

Frequently asked

What are AI agents?
AI agents are software programs that perform tasks autonomously using AI to make decisions and complete workflows, operating independently without manual input.
How much enterprise software spending is at risk from AI agents?
Gartner estimates that $234 billion in enterprise application software spending is at risk due to the rise of agentic AI.
What types of enterprise software could AI agents replace?
According to Gartner, AI agents could replace traditional tools for customer relationship management (CRM), enterprise resource planning (ERP), and supply chain management.
What can I do to explore AI agents today?
You can start by looking into tools like Microsoft's Copilot or Google's Duet AI, which offer AI-powered assistance for various tasks.