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Microsoft Prioritizes AI Engagement Over License Volume

🤖 Models & LLM·Tom Levy·

Microsoft Prioritizes AI Engagement Over License Volume

Microsoft Prioritizes AI Engagement Over License Volume
Key Takeaways
1Microsoft generated $82.89 billion in revenue in the third fiscal quarter, with a 40% growth for Azure.
2The company plans to invest $190 billion by 2026 to develop its AI and cloud infrastructure.
3Microsoft 365 Copilot has surpassed 20 million paying users, reaching usage levels similar to Outlook.
💡Why it mattersMicrosoft is shifting its strategy towards intensive use of AI, amid pressure to demonstrate its economic value.
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Full Analysis

Strong Financial Results for Microsoft

Microsoft recently announced impressive financial results for its third fiscal quarter, reaching $82.89 billion in revenue. This performance represents an 18% increase compared to the previous year. Microsoft's cloud sector significantly contributed to these results, generating $54.5 billion, a 29% rise. Azure, Microsoft's cloud platform, particularly excelled with a growth of 40%, or 39% adjusted for currency fluctuations. The company expects to maintain this growth pace in the upcoming quarter.

Massive Investments in AI and Cloud

Microsoft has unveiled its intention to invest $190 billion by 2026 to develop its AI and cloud infrastructure. This financial commitment far exceeds analysts' forecasts and underscores the company's determination to strengthen its capabilities in these areas. However, Satya Nadella, Microsoft's CEO, warned that capacity would remain limited until the end of 2026, despite these investments. This strategy aims to meet the growing demand for AI and cloud solutions while anticipating future market needs.

Microsoft 365 Copilot and User Engagement

The number of paying users of Microsoft 365 Copilot recently surpassed 20 million, marking a significant increase from the 15 million recorded in January. Nadella emphasized that the usage of Copilot has reached a weekly level comparable to that of Outlook, indicating that AI is gradually becoming a habit for users. This rapid adoption is a key indicator of user engagement with Microsoft's AI solutions, which could positively influence the company's future revenues.

Transition to a Usage-Based Model

In light of the possibility that AI may reduce demand for traditional software licenses, Microsoft is adjusting its business strategy. The company is shifting towards usage-based licensing models. GitHub Copilot has already been transitioned to this type of model. Nadella explained that Microsoft's business will now focus on intensive user engagement and heavy usage of its services. This approach could offset a potential decline in traditional license revenues by increasing usage fees.

Challenges and Future Outlook

Despite these advancements, Microsoft, like Google, remains tight-lipped about the details of its generative AI business performance. Revenue and margin forecasts for the next quarter are below expectations, leading to a drop of over 5% in the stock price. Microsoft's ability to demonstrate the monetary value of AI will be crucial, especially if AI costs approach those of full-time employees in mid-sized companies. Nadella emphasized that assessing the value created by AI will be essential to justify these massive investments. So far, few companies have succeeded in measuring the overall impact of AI on their financial results, which poses a significant challenge for Microsoft.

The Importance of User Engagement

Satya Nadella stressed that the success of AI relies more on user engagement than on the sheer number of licenses sold. During the earnings call, he stated, "Any activity per user on our part, whether it's productivity, coding, or security, will become a per-user and per-use activity." This approach emphasizes creating value through intensive use of AI tools rather than through bulk license sales. Nadella also mentioned that evaluating the added value from AI, particularly through agents working alongside users, is crucial for driving engagement and usage.

Measuring the Impact of AI

So far, few companies have managed to measure the actual impact of AI on their financial results. Local effects, such as how quickly individual workers switch from one task to another, are relatively easy to track. However, determining whether these gains translate into improved overall company results remains a complex challenge. By focusing on engagement and usage, Microsoft hopes to overcome this hurdle and prove the tangible value of its AI investments.

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