The intelligent tech enterprise
A blueprint for creating value through AI-driven transformation
AI brings challenges and opportunities for tech. Our report details key elements of an AI-powered, customer-centric technology enterprise and recommends actions to accelerate AI adoption, balancing immediate returns with long-term goals.
Navigating the future: Harness AI to revolutionize tech and drive innovation
Tech companies face the biggest AI opportunities and threats. As both users and providers, they lead the race toward intelligent enterprises but risk obsolescence. Tech executives navigate a fast-moving market with AI, facing disruption and uncertainty. Some build transformative AI, others integrate it into current products, and few deploy AI fully in their operations.
Despite leading AI innovation, many tech companies have yet to unlock its full value internally. While they create AI solutions for clients, their own operations often rely on legacy systems, manual workflows, and fragmented data. This disconnect is a missed opportunity. Showcasing AI-driven excellence in their own organizations enhances credibility, proving that AI is a fundamental driver of business transformation and value. By embedding AI into core operations, tech companies can demonstrate the measurable impact on efficiency, innovation, and profitability. Leading by example not only differentiates them in a competitive market but also accelerates broader AI adoption across industries.
Value is going to look different across different tech companies. Defining what’s valuable to an organization and establishing clear metrics to demonstrate that value to its people, boards, and shareholders is critical.
Chad Seiler
TMT Sector lead for Consulting, KPMG in the US
Bridge the AI gap: Transform your internal operations for maximum impact
KPMG's comprehensive survey reveals that tech executives face significant AI challenges. They must master AI tools to boost productivity, embed AI into products and services faster than competitors, and adapt their business models to a fully AI-integrated world. Over an extensive research period, KPMG analyzed numerous AI client engagements, surveyed global decision-makers, and quantified the potential value of generative AI for tech companies worldwide.
Our research shows a sector in rapid transition with untapped opportunities, accelerated innovation, and fluid competitive dynamics. Many companies still lack a clear AI strategy, adoption program, tech infrastructure, and trust framework. KPMG's blueprint for an intelligent enterprise aims to help you navigate this journey, unlocking AI's true value and transforming your business operations.
Unrealistic pressure to deliver ROI on AI investments won’t yield immediate results. In fact, it could hinder long-term progress
Mark Gibson
KPMG Global & U.S. Technology, Media & Telecommunications Leader
Key findings at a glance
Key findings are highlighted below. Detailed findings are available in the full report.
High stakes and high expectations:
US tech executives on AI's competitive edge and ROI
Using AI to drive overall productivity remains the key focus
Percentage who say their organization has faced the following challenges when integrating AI
AI spending for US tech organizations will likely increase significantly
Top 10 areas of opportunity: Tech enterprise
AI-Powered Tech: Mastering the Details for Success
Enable, Embed, and Evolve.
Download the full report
Discover the pivotal insights from our latest survey, revealing how AI can empower your workforce, streamline operations, and drive. Stay competitive and lead the next generation of retail by integrating AI deeply into your business. Download the full report and start your transformation journey today.
Unlocking AI potential: GenAI sector value reports
The intelligent enterprise: A blueprint for creating value through AI-driven transformation" reports provide a detailed guide for organizations to implement AI, optimize operations, and enhance market impact. Released in a series, the reports will cover eight critical industry sectors and outline a three-phase AI transformation process: Enable, Embed, and Evolve. Insights stem from in-depth interviews with AI experts, sector-specific KPMG professionals, and a survey of 1,390 decision-makers across eight global markets, including Australia, China, Germany, the UK, Canada, France, Japan, and the US. This research offers actionable strategies tailored to each industry sector.
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