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Reading: Google Cloud research reveals that generative AI is driving significant ROI for early adopters
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OpenAI folds Codex into GPT 5.5

By Leo Martins
April 26, 2026
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Companies / Google / Google Cloud research reveals that generative AI is driving significant ROI for early adopters
CompaniesGoogleNewsResearch

Google Cloud research reveals that generative AI is driving significant ROI for early adopters

New research reveals that 74% of organizations are seeing a return on their generative AI investments within a year.

Daniel Reed
ByDaniel Reed
AI Research, Safety & Ethics Analyst
Daniel Reed currently works as an AI Research, Safety & Ethics Analyst at Aiholics, writing about how changes in artificial intelligence are affecting and will affect...
- AI Research, Safety & Ethics Analyst
Published: August 8, 2024
4 Min Read
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Generative AI, the powerful technology that can create human-like text, images, and more, is already delivering impressive results for businesses that have adopted it. According to a new survey from Google Cloud and the National Research Group, 74% of organizations are currently seeing a return on their investments in generative AI.

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Key points

  • 74% of organizations are currently seeing a return on their generative AI investments within a year
  • 86% of organizations with generative AI in production have seen a 6% or more increase in annual revenue
  • 84% of organizations can transform a generative AI use case idea into a production-ready solution within 6 months
  • Generative AI is driving significant improvements in productivity, security, business growth, and customer experience
  • Companies are reinvesting their generative AI gains into technology, talent, and data to further drive innovation and growth

The survey, which polled 2,508 senior leaders at global enterprises, found that among those companies that have generative AI in production, a remarkable 86% have seen their annual revenue increase by 6% or more. That’s a significant boost to the bottom line, and it’s happening in a relatively short timeframe – the survey found that 84% of organizations are able to transform a generative AI use case idea into a production-ready solution within just six months.

“Generative AI is not just a technological innovation; it’s a strategic differentiator,” said Oliver Parker, vice president of Google Cloud’s global generative AI go-to-market efforts.

Our research shows that early adopters of gen AI are reaping significant rewards, from increased revenue, to better customer service, to improved productivity. Organizations investing in gen AI today are the ones that will be best positioned to succeed in the coming decade.

Oliver Parker, vice president of Google Cloud‘s global generative AI go-to-market efforts.

The benefits of generative AI go beyond just revenue growth. The survey found that 45% of executives who have implemented the technology reported that employee productivity has at least doubled as a result. Generative AI is also helping to boost security, with 56% of executives saying it has improved their organization’s security posture.

Source: Google cloud

When it comes to driving business growth, 77% of executives said generative AI has helped them improve leads and customer acquisition. And on the customer experience front, 85% reported an increase in user engagement, while 80% saw improved user satisfaction.

These impressive results are driving a reinvestment cycle in generative AI, with nearly half of respondents (49%) planning to reinvest their gains to further improve operating profit margins. The top three areas for investment are aligning business and technology to support user adoption (47%), upskilling the workforce and attracting new AI talent (46%), and investing in data quality and knowledge management (43%).

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“The most successful organizations aren’t just implementing gen AI. They’re fostering a culture of innovation through experimentation,” Parker added. “By reinvesting early gains in technology, talent, and data, these companies are building a sustainable AI ecosystem, creating a flywheel of innovation that will continue to drive growth and competitive advantage in the years to come.”

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ByDaniel Reed
AI Research, Safety & Ethics Analyst
Daniel Reed currently works as an AI Research, Safety & Ethics Analyst at Aiholics, writing about how changes in artificial intelligence are affecting and will affect scholarship, society, and human civilization. He reports on breakthroughs in AI research, the development of safety frameworks, discussion of long-term risks, and ethical challenges; he also reports on global shifts in policy and governance. Daniel aims to make complex research papers and long-term thinking accessible to the everyday reader without sacrificing nuance. With his thoughtful and analytical style of writing, Daniel translates advanced topics into clear language. He targets questions that really matter: how safe are today's AI systems, what kind of ethical boundaries do we need, and how could exponential progress affect the way education, jobs, governance, and human values are shaped? His articles are often not just expert opinions but also balanced views and insight into emerging debates that define AI's place in the world. Daniel believes responsible AI development begins with awareness, transparency, and informed public conversation. In terms of his work with Aiholics, he encourages readers to look beyond headlines to understand the promise of artificial intelligence but also some of its consequences.
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