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IDC study confirms real ROI of AI in companies

Manu Ramalho
Manu Ramalho

Research commissioned by Microsoft to IDC reveals that artificial generative intelligence already delivers measurable financial returns, with increased revenue, improved experience...

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Yes, investing in artificial intelligence generates concrete financial returns. This proves an unprecedented study of IDC commissioned by Microsoft, released in November 2023. The research quantifies the economic impact of AI on companies, showing how technology not only cuts costs, but creates new revenue sources, increases customer satisfaction and accelerates internal operations.

What does the IDC study reveal about the ROI of AI in companies?

The survey complements Microsoft's Work Trend Index with solid investment return metrics (ROI). Companies that have adopted a generative AI report significant gains in productivity — from sales teams that close more businesses to support teams that solve problems in minutes. The IDC analyzed hundreds of organizations and concluded that each dollar invested in AI generates, on average, multiple returns in efficiency and new revenues.

How does IA ROI improve customer experience and generate revenue?

One of the highlights of the study is the direct impact on the customer experience. With intelligent assistants, personalized recommendations and service automation, companies can understand and anticipate needs with much more precision. This translates into greater loyalty and increase in the average ticket. The research shows that sectors such as retail, finance and health already reap expressive results by integrating AI into their contact channels.

Why does IA ROI matter to Brazilian companies?

In Brazil, where the pressure for efficiency and innovation is constant, concrete ROI data help break down internal barriers. The IDC report acts as a practical guide to justify AI investments in advice and board. It shows that this is not an experiment, but a business strategy with measurable return. For those who still hesitate, the study offers benchmarks that can be adapted to local reality.

How to use study data to justify your ROI AI project

Microsoft structures research into three pillars: new recipes, customer experience and process optimization. Each is accompanied by metrics and cases that facilitate the construction of a solid case business. The report suggests that companies start with low-risk pilot projects, measure short-term results and then scale up. NVIDIA saw its data center revenue triple with generativa IA, showing that the market is heated.

In addition, Microsoft itself has been integrating AI into its ecosystem — Google I/O 2026 presented Gemini 3.5 Flash and Search Agents, showing that platforms are increasingly prepared for business adoption.

Frequently Asked Questions about ROI of the generative AI

How much can a company expect to return when investing in AI?

The IDC study does not disclose a single rate, but points out that ROI is significant — companies that adopt IA generative report increased revenue and reduced operating costs in the order of multiples, depending on the sector and digital maturity.

Will AI replace jobs or create new functions?

The research indicates that AI tends to automate repetitive tasks, releasing professionals for activities of greater strategic value. Most of the companies heard said that technology creates new vacancies, especially in areas such as data analysis and AI governance.

Can small companies also benefit from AI?

Yeah. The study shows that even smaller organizations achieve positive results with low-cost solutions, such as virtual assistants ready for use and marketing automation tools, as long as aligned to clear business objectives.

For more details, access the original study in Microsoft blog.

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Manu Ramalho

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Manu Ramalho

Sou Manu Ramalho, publicitária com 16 anos de estrada conectando marcas e pessoas. Como fundadora da EME Marketing Digital, sempre busquei o marketing estratégico para gerar conexões autênticas. Aqui, mergulho na fronteira da inteligência artificial como analista de tendências. Meu foco é traduzir a complexidade de NLP, novos modelos de linguagem e papers acadêmicos para o mundo real, sempre com um olhar atento à regulamentação, ética e aos impactos sociais que essa tecnologia imprime na nossa sociedade.

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