AI Agents Could Surpass Humans as Primary App Users by 2030, Accenture Predicts

Share post:

AI agents are poised to transform the way we interact with digital systems, potentially becoming the primary users of enterprise and consumer applications within the next decade. According to a new report from Accenture, this transition, called the “Binary Big Bang”, marks a significant shift in technology design, use, and operation. The full report is available here.

The report predicts that by 2030, AI agents will be the main users of most enterprises’ internal digital systems. By 2032, interactions with agents will surpass time spent on traditional apps for consumers. Karthik Narain, Accenture CTO and the report’s primary author, explained, “When foundation models cracked the natural language barrier, they kickstarted a shift in our technology systems: how we design them, use them, and how they operate.”

Agentic Systems: A New Era of Software Development

Agentic systems, capable of autonomously solving problems and generating APIs, are a driving force behind this change. According to the report, one such system, Anthropic’s Claude 3.5 Sonnet, achieved a 49% resolution rate on SWE-Bench Verified, a benchmark of real-world software issues from GitHub. This is a significant leap from 2023, when agents resolved less than 5% of similar issues.

Accenture highlights that agentic systems can accelerate engineering velocity by creating and reusing functions and APIs with high accuracy. Companies are increasingly integrating these capabilities to enhance development efficiency and scale digital operations.

Digital Core: The Backbone of AI Enterprises

AI agents will depend on a robust digital core, which connects data sources to analytical platforms that drive decision-making. While today’s agents can’t yet build or maintain the entire digital core, they are increasingly able to upgrade functions, modernize integrations, and ensure quality assurance.

The report notes that:

  • 48% of executives expect agents to soon handle system upgrades and modernization.
  • 46% anticipate agents will assure the quality of digital functions.
  • 45% believe agents will access internal systems functions.

However, only 29% foresee agents accessing third-party systems soon, and 38% see them capable of accessing organization-wide data.

Generative UI: Personalizing User Experiences

The report also highlights the rise of generative user interfaces (UI), which use AI to create personalized, dynamic interfaces. Traditionally, software developers created generic UIs to minimize costs. Now, language-first interfaces and cheaper coding are making customized UI components more feasible.

Accenture sees generative UIs as a key component of the future digital landscape, enabling agents to deliver highly tailored experiences for users.

Governance and Challenges

The report stresses the need for monitoring and governance as autonomous agents proliferate. Organizations must track what data agents access, who directs them, and the quality of their outputs. This will be crucial to building trust and transparency around AI systems.

Despite their promise, the report cautions that AI agents are computationally expensive, non-deterministic, and sometimes lack explainability. It suggests using tools like retrieval augmented generation (RAG) to ground agents and improve their reliability.

Preparing for the Future

To prepare for this transformation, Accenture advises organizations to start small by deploying task-specific internal agents. From there, companies can expand agents’ capabilities incrementally, eventually enabling them to handle external-facing tasks.

“Companies will need to closely surveil agents and ensure guardrails are in place,” the report states. Transparency and governance will be essential to ensure agents operate effectively and ethically in the evolving digital landscape.

This shift is laying the groundwork for cognitive digital systems that will redefine enterprise and consumer technology in the coming years. For more details, you can access the full Accenture report here.

SUBSCRIBE NOW

Related articles

North Korean Hackers Trick Employees With New Social Engineering

North Korean Hackers Trick Employees With New Social Engineering, New Prompt Injection Attack Compromises Gemini's Long-Term Memorym Canada's...

Canada’s Tech Sector Faces Continuing Talent Crunch: Hashtag Trending

Report Says Canada's Tech Sector Faces Continuing Talent Crunch Amid Rapid AI Advancements, Study Reveals reCAPTCHA's Lousy At...

Larry Ellison Proposes Centralized National Data Repository for AI Analysis

Oracle founder Larry Ellison has proposed that governments consolidate all national data—including genomic information—into a unified database to...

homson Reuters Wins Landmark AI Copyright Case: Hashtag Trending for Thursday, February 13, 2025

Thomson Reuters Wins Landmark AI Copyright Case, Tumblr joins the fediverse and converts to WordPress, The US and...

Become a member

New, Relevant Tech Stories. Our article selection is done by industry professionals. Our writers summarize them to give you the key takeaways