Best Podcast Episodes About Azure

Everything podcasters are saying about Azure — curated from top podcasts

Updated: Apr 03, 2026 – 5 episodes

Ridealong has curated the best and most interesting podcasts and clips about Azure.

Top Podcast Clips About Azure

“… tied to OpenAI. MAI Transcribe 1 transcribes speech across 25 different languages into text and is two and a half times faster than Microsoft's Azure Fast Offering, according to a company press release. MAI Voice 1 is an audio-generating model. This voice model allows users to generate 60 seconds of audio in one second and allows users to create a custom voice. MAI Image 2 is a video-generating model. MAI Image 2 was originally released on MAI Playground, a new large language model testing software, on March 19th. Now, all three models are being released on Microsoft Foundry, and the …” “… the release of three foundational AI models on Thursday that can generate text, voice, and images. The release signals Microsoft's continued push to build out its own stack of multimodal AI models and compete with rival AI labs, even though it remains tied to OpenAI. MAI Transcribe 1 transcribes speech across 25 different languages into text and is two and a half times faster than Microsoft's Azure Fast Offering, according to a company press release. MAI Voice 1 is an audio-generating model. This voice model allows users to generate 60 seconds of audio in one second and allows users to create a custom voice. MAI Image 2 is a video-generating model. MAI Image 2 was originally released on MAI Playground, a new large language model testing software, on March 19th. Now, all three models are being released on Microsoft Foundry, and the transcription and voice models are available in MAI Playground as well. The models were developed by Microsoft's MAI Superintelligence team, an AI research team led by Mustafa Suleiman, the CEO of Microsoft AI, that was formed and announced all the way back in November 2025. In an increasingly crowded LLM market, MAI hopes a selling point for these models …” View more

Ridealong summary

OpenAI's record-breaking $122 billion funding round highlights the intense competition and unprecedented scale of investment in the AI industry.

OpenAI's record-breaking $122 billion funding round highlights the unprecedented scale of investment in AI, with its valuation now at $852 billion.

OpenAI's massive $122 billion funding round sets a new record, highlighting its dominant position and the intense competition in the AI industry.

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TechCrunch Daily Crunch · Microsoft takes on AI rivals with three new foundational models · Apr 03, 2026

“… crushed. Revenue tripled from $60 billion in fiscal year 2024 to $215.9 billion in fiscal year 2026. Microsoft has been far less dominant. So Azure growth actually is accelerating. It's at 40% year over year, but the stock only returned 4%, as we said. The market punished the $80 billion in AI CapEx that Satya Nadella has been telling to investors because everyone's asking, well, I could be in NVIDIA, and they don't need to really invest that much because they're a fabulous semiconductor design company. Their gross margins are increasing. They're printing cash. And you are saying, okay, …” “… think, oh, it's got to be up, what, 40%? No, it's up 4%. That was Daniel Gross' next question. What happens to NVIDIA and Microsoft? These are the two interesting players at the time, some of the biggest companies, the most AI aligned. NVIDIA absolutely crushed. Revenue tripled from $60 billion in fiscal year 2024 to $215.9 billion in fiscal year 2026. Microsoft has been far less dominant. So Azure growth actually is accelerating. It's at 40% year over year, but the stock only returned 4%, as we said. The market punished the $80 billion in AI CapEx that Satya Nadella has been telling to investors because everyone's asking, well, I could be in NVIDIA, and they don't need to really invest that much because they're a fabulous semiconductor design company. Their gross margins are increasing. They're printing cash. And you are saying, okay, you've got to spend $80 billion, and we don't know when we're going to get the profits from that. So there's an open question there. So when it comes to the picks and shovels trade, you don't want to tie yourself up to an individual startup or a foundation model lab. You just want to own the simplest thing that value will accrue to. NVIDIA all the …” View more

Ridealong summary

AI investment is concentrated in a few major players like NVIDIA and OpenAI, but the returns are uneven, with NVIDIA thriving while Microsoft's AI investments have yet to pay off.

The massive investments in AI startups are reshaping the venture capital landscape, but the returns for major players like Microsoft are not as impressive as expected, contrasting with NVIDIA's explosive growth.

NVIDIA's massive market gains highlight its dominance in AI hardware, while Microsoft's heavy AI investments have yet to yield significant stock returns.

Nvidia's dominance in the AI sector is unmatched, with massive revenue growth and market cap gains, making it the clear winner in the tech industry's 'picks and shovels' trade.

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TBPN · Daniel Gross’ AGI predictions, SpaceX IPO news, Trump takes control of US chip exports | Diet TBPN · Mar 06, 2026

“… crushed. Revenue tripled from $60 billion in fiscal year 2024 to $215.9 billion in fiscal year 2026. Microsoft has been far less dominant. So Azure growth actually is accelerating. It's at 40% year over year, but the stock only returned 4%, as we said. The market punished the $80 billion in AI CapEx that Satya Nadella has been telling to investors because everyone's asking, well, I could be in NVIDIA and they don't need to really invest that much because they a fabulous semiconductor design company Their gross margins are increasing They printing cash And you are saying okay you got to …” “… oh, it's got to be up, what, 40%? No, it's up 4%. And so that was Daniel Gross' next question. What happens to NVIDIA and Microsoft? These are the two interesting players at the time, some of the biggest companies, the most AI aligned. NVIDIA absolutely crushed. Revenue tripled from $60 billion in fiscal year 2024 to $215.9 billion in fiscal year 2026. Microsoft has been far less dominant. So Azure growth actually is accelerating. It's at 40% year over year, but the stock only returned 4%, as we said. The market punished the $80 billion in AI CapEx that Satya Nadella has been telling to investors because everyone's asking, well, I could be in NVIDIA and they don't need to really invest that much because they a fabulous semiconductor design company Their gross margins are increasing They printing cash And you are saying okay you got to spend billion and we don know when we going to get the profits from that So there an open question there” View more

Ridealong summary

AI investment is heavily skewed towards infrastructure giants like NVIDIA, overshadowing the massive funding rounds of companies like OpenAI.

Nvidia's dominance in the AI infrastructure layer has led to unprecedented market cap growth, showcasing its strategic advantage over other tech giants like Microsoft.

The AI boom has disproportionately benefited infrastructure companies like NVIDIA, while other tech giants like Microsoft see minimal stock gains despite massive AI investments.

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TBPN · Daniel Gross’s AGI Trades, SpaceX’s $1.75T IPO, Google Silences Sweeney | Mark Gurman, Dan Primack, Cameron McCord, Max Haot, Christian Howell · Mar 05, 2026

“… of these companies. As part of its alleged funding announcement with Nvidia and Microsoft, Anthropic also agreed to purchase $30 billion of Azure Compute, which is, for those of you who don't know, the Compute cloud platform that compares to Amazon Web Services and Google Cloud that Microsoft runs. It also agreed to, Anthropic agreed to spend tens of billions of dollars with Google Cloud. It ordered $10 billion of chips from Broadcom earlier in 2025 and apparently another $11 billion of them in the last fiscal quarter. How does Anthropic pay for them? How? Anthropic allegedly burned $2.8 …” “… there is more revenue and money in generative AI that actually exists. Furthermore, it is irresponsible and actively harmful for analysts in the media to continually act as if these deals will actually get paid when you consider the financial conditions of these companies. As part of its alleged funding announcement with Nvidia and Microsoft, Anthropic also agreed to purchase $30 billion of Azure Compute, which is, for those of you who don't know, the Compute cloud platform that compares to Amazon Web Services and Google Cloud that Microsoft runs. It also agreed to, Anthropic agreed to spend tens of billions of dollars with Google Cloud. It ordered $10 billion of chips from Broadcom earlier in 2025 and apparently another $11 billion of them in the last fiscal quarter. How does Anthropic pay for them? How? Anthropic allegedly burned $2.8 billion last year, 2025, though I think they burned much more and raised $16.5 billion in funding before Microsoft and Nvidia's imaginary money. How are investors tolerating Broadcom not directly stating the future financial condition of this company is questionable? Has Broadcom created a reserve for this deal? If not, why not? Anthropic will …” View more

Ridealong summary

Anthropic is facing a financial reckoning, unable to meet its $30 billion cloud computing obligations despite raising $25 billion. Analysts warn that the company's inflated valuations and losses could lead to a catastrophic bubble burst, echoing the dotcom era. This situation threatens not only venture capitalists but also everyday investors who trust flawed projections.

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Better Offline · The Enshittifinancial Crisis: Part Two · Jan 21, 2026

“… or will this be streamlined? I think there's very hardworking folks in D.C. in special – well, kind of across the board, but in GSA, in the Azure Arc Office trying to do this. And the primary lever they're using is FedRAMP. Yes. Yeah. And which broadly I would think of, I'm stuck to for the federal government, but basically a very onerous set of both controls and requirements and documentation in order to begin trying to think about selling to federal and often states and sometimes even local governments. How do you realize state and local governments also use FedRAMP as kind of their? …” “… very into streamlining regulation through automation and AI. Yeah, yeah, yeah. But that is the catchphrase that they deeply believe in and are driving. I would have thought that this kind of stuff is just too boring to be caught up in any reform initiative, or will this be streamlined? I think there's very hardworking folks in D.C. in special – well, kind of across the board, but in GSA, in the Azure Arc Office trying to do this. And the primary lever they're using is FedRAMP. Yes. Yeah. And which broadly I would think of, I'm stuck to for the federal government, but basically a very onerous set of both controls and requirements and documentation in order to begin trying to think about selling to federal and often states and sometimes even local governments. How do you realize state and local governments also use FedRAMP as kind of their? The state ramps. Yeah, yeah. It's like literally Texas ramp. But they kind of conform to FedRAMP. Yeah, yeah. And there is a part of GSA and one team in particular led by a guy called Pete Wasserman, who is trying to modernize FedRAMP.” View more

Ridealong summary

FedRAMP is set to modernize government compliance, despite current regulations being at a low point. The current administration is focusing on streamlining this process using automation and AI, with efforts led by teams in Washington D.C. to make compliance less burdensome for federal and state governments alike.

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Cheeky Pint · Compliance at scale and why TAM is a distraction, with Christina Cacioppo of Vanta · Mar 31, 2026