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Google Cloud Platform (GCP) & Microsoft Azure had strong quarters with about 28% annual revenue growth each. But the story in this quarter’s reports is AI. Just last week, Epic Systems shared that it was using Azure OpenAI Service to integrate this next generation of AI with its industry-leading EHR software.
Q1 earnings season for cloud businesses is now behind us. My hope is that this analysis can provide startup entrepreneurs with a framework for how to manage their businesses around SaaS metrics (e.g., GCP data is a bit more noisy as they don’t disclose GCP itself, but rather Google Cloud which includes GSuite.
Ron explains: “Wehire mostly technical backgrounds, but as our customers get larger and larger, you start to get global account managers, and they’re going to have much more business strategic account management experience. Because thats how their customerswho were used to AWS, Azure, and GCP pricingexpected to buy.
Both Google & Microsoft announced growth rates in GCP & Azure that held steady from one quarter to the next. There are two forces in tension : overall cost reduction efforts by companies & the desire to invest in AI. The desire for AI is broad.
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Subscribe now Foundation Models Are to AI what S3 was to the Public Cloud Many people look at 2006 as the birth of the public cloud - the year Amazon launched AWS. Microsoft launched Azure in 2010, and Google launched GCP to the public in 2011 (they launched a preview of Google App Engine in 2008, but made it publicly available in 2011).
When I think about the monetization of AI (and which “layers” monetize first) I’ve always thought it would follow the below order, with each layer lagging the one that comes before it. Model providers (OpenAI, Anthropic, etc as companies start building out AI). 2024 will be the year of AI applications!
And the promise of the software business model is as companies mature and go out of growth mode the profits will show up. AI Investment Cycle Picking Up - Companies are (rightfully) investing in building out their capabilities around AI. Coming in to Q1 there was broader optimism. Q4’s were generally good!
So far - you’re either tied to AI tailwinds, or it’s rough out there. And in the public universe, it’s really only been the hyperscalers who’ve benefited from AI. It shows the number of months it takes for a SaaS business to payback their fully burdened CAC on a gross profit basis.
Today, the market seems a lot more worried about business fundamentals / growth. Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! It shows the number of months it takes for a SaaS business to payback their fully burdened CAC on a gross profit basis. However, rates are just one variable.
This conversation is part of our AI Revolution series, which features some of the most impactful builders in the field of AI discussing and debating where we are, where we’re going, and the big open questions in AI. Find more content from our AI Revolution series on www.a16z.com/AIRevolution. Is it the business line?
The weakness they called out was from larger cloud-native businesses. However, they called out strength when looking at new business (ie net new customer signups). ” It’s really important that new business is still healthy, and a sign of overall market health. However, it’s not showing up in the data yet.
He joined me for a chat that ranged from the role of AI to how they choose startups to incubate. Customer nurturing now starts from the first touch, and AI can help with that. How to know when to become a platform. Mike: I may not be able to provide anything new here, in terms of the platform debate and statements.
Subscribe now Busy week! AI = Data + Compute I’ll continue beating this drum, but we got two great quotes from Azure and AWS this week. Satya at Microsoft said “Every AI app starts with data and having a comprehensive data and analytics platform is more important than ever.” AWS reports next week.
The rise of foundation models and generative AI only furthers this trend. But this isn’t another post about AI, it’s about the future of data infrastructure. As Frank Slootman (Snowflake CEO) said, “Enterprises are also realizing that they cannot have an AI strategy without a data strategy to base it on.”
They are basically detectives who uncover hidden patterns and trends in data, which businesses can then use to make better decisions. They are basically detectives who uncover hidden patterns and trends in data, which businesses can then use to make better decisions. Bonus points : Experience with cloud platforms (AWS, Azure, GCP).
API vulnerability scanner API security testing ensures business data packets that move between two software applications and ip addresses are secure. They also help to keep out unauthorized devices from a business network. Password Vulnerabilities using weak passwords compromises critical business assets.
“AWS’ AIbusiness is a multibillion-dollar revenue run rate business that continues to grow at a triple-digit year-over-year percentage and is growing more than 3x faster at this stage of its evolution as AWS itself grew, and we felt like AWS grew pretty quickly.” GCP 23 35 52.2% GCP 23 35 52.2%
If youre on a mission to keep your business protected, ensure your cloud-based data is secure, stay on top of compliance requirements, and reduce those sleepless nights, youve come to the right place. Join us as we dive into the top cloud compliance tools for 2025 and see how they can help your business soar with confidence.
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