- Half of companies think that the benefits of AI overcome their environmental impacts
- Many are still struggling to see tangible or roi results
- Energy consumption continues to increase in the midst of AI adoption
Apparently, many companies are happy to invest in AI without necessarily considering negative implications, including environmental effects, according to new research.
A Capgemini report states that three fifth (61%) of global organizations plan to increase Genai spending in next year, and that occurs after a year when 88% has already increased Genai spending.
For that melody, more than half (51%) believe that the benefits of generative AI will exceed its environmental impact, a feeling that is more pronounced in the United Kingdom (56%).
Are companies invest blindly in AI?
With the use of AI shooting in recent years, the approach has been in companies behind the AI tools we use, and not in the companies that use them.
For example, Google recently discovered a 27% increase in energy consumption of its data center during the last half of 2024 and the first half of 2025. Microsoft saw a 168% increase in total energy consumption between 2020 and 2024.
Companies not only fail in sustainability: one in five (21%) is not satisfied with their results so far, and many notice “invoices clashes”, where the efforts of AI overcome the initial projections.
“Rapid adoption does not necessarily translate into a large -scale deployment with Tangible Roi,” said Cto Franck Greverie.
Looking towards the future, more companies are resorting to small language models to increase profitability, with 12% of IT budgets on average dedicated to generative generative.
However, investing freely in AI is not the most effective solution. Greverie explained that “companies must configure a solid database, in a reliable environment that meets, sure and guarantee the necessary privacy” to see the largest ROI.
Looking towards the future, Capgemini suggests a more specific approach to maintain management of the environmental and economic impacts of AI, and that began with the establishment of government policies (which only 46% have done) and focusing on high -impact areas such as client operations, marketing and risk management.
