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Tuning into the future of collaboration 

In partnership withShure When work went remote, the sound of business changed. What began as a scramble to make home offices functional has evolved into a revolution in how people hear and are heard. From education to enterprises, companies across industries have reimagined what clear, reliable communication can mean in a hybrid world. For major audio and communications enterprises like Shure and Zoom, that transformation has been powered by artificial intelligence, new acoustic technologies, and a shared mission: making connection effortless.  Necessity during the pandemic accelerated years of innovation in months.   “Audio and video just working is a baseline for collaboration,” says chief ecosystem officer at Zoom, Brendan Ittelson. “That expectation has shifted from connecting people to enhancing productivity and creativity across the entire ecosystem.”   Audio is a foundation for trust, understanding, and collaboration. Poor sound quality can distort meaning and fatigue listeners, while crisp audio and intelligent processing can make digital interactions feel nearly as natural as in-person exchanges.  “If you think about the fundamental need here,” adds chief technology officer at Shure, Sam Sabet, “It’s the ability to amplify the audio and the information that’s really needed, and diminish the unwanted sounds and audio so that we can enhance that experience and make it seamless for people to communicate.”   For both Ittelson and Sabet, AI now sits at the center of this progress. For Shure, machine learning powers real-time noise suppression, adaptive beamforming, and spatial audio that tunes itself to a room’s acoustics. For Zoom, AI underpins every layer of its platform, from dynamic noise reduction to automated meeting summaries and intelligent assistants that anticipate user needs. These tools are transforming communication from reactive to proactive, enabling systems that understand intent, context, and emotion.  “Even if you’re not working from home and coming into the office, the types of spaces and environments you try to collaborate in today are constantly changing because our needs are constantly changing,” says Sabet. “Having software and algorithms that adapt seamlessly and self-optimize based on the acoustics of the room, based on the different layouts of the spaces where people collaborate in is instrumental.”  The future, they suggest, is one where technology fades into the background. As audio devices and AI companions learn to self-optimize, users won’t think about microphones or meeting links. Instead, they’ll simply connect. Both companies are now exploring agentic AI systems and advanced wireless solutions that promise to make collaboration seamless across spaces, whether in classrooms, conference rooms, or virtual environments yet to come.  “It’s about helping people focus on strategy and creativity instead of administrative busy work,” says Ittelson.  This episode of Business Lab is produced in partnership with Shure.  Full Transcript  Megan Tatum: From MIT Technology Review, I’m Megan Tatum and this is Business Lab, the show that helps business leaders make sense of new technologies coming out of the lab and into the marketplace.   This episode is produced in partnership with Shure.   Now as the pandemic ushered in the cultural shift that led to our increasingly virtual world, it also sparked a flurry of innovation in the audio and video industries to keep employees and customers connected and businesses running. Today we’re going to talk about the AI technologies behind those innovations, the impact on audio innovation, and the continuing emerging opportunities for further advances in audio capabilities.   Two words for you: elevated audio.   My guests today are Sam Sabet, chief technology officer at Shure, and Brendan Ittelson, chief ecosystem officer at Zoom.   Welcome Sam, welcome Brendan.  Sam Sabet: Thank you, Megan. It’s a pleasure to be here and I’m looking forward to this conversation with both you and Brendan. It should be a very exciting conversation.  Brendan Ittelson: Thank you so much for having me today. I’m looking forward to the conversation and all the topics we have to dive into on this area.  Megan: Fantastic. Lovely to have you both here. And Sam, just to set some context, I wonder if we could start with the pandemic and the innovation that really was born out of necessity. I mean, when it became clear that we were all going to be virtual for the foreseeable future, I wonder what was the first technological mission for Shure?  Sam: Yeah, very good question. The pandemic really accelerated a lot of innovation around virtual communications and fundamentally how we perform our everyday jobs remotely. One of our first technological mission when the pandemic happened and everybody ended up going home and performing their functions remotely was to make sure that people could continue to communicate effectively, whether that’s for business meetings, virtual events, or educational purposes. We focused on collaboration and enhancing collaboration tools. And ideally what we were aiming to do, or we focused on, was to basically improve the ease of use and configuration of audio tool sets.  Because unlike the office environment where it might be a lot more controlled, people are working from non-traditional areas like home offices or other makeshift solutions, we needed to make sure that people could still get pristine audio and that studio level audio even in uncontrolled environments that are not really made for that. We expedited development in our software solutions. We created tool sets that allowed for ease of deployment and remote configuration and management so we could enable people to continue doing the things they needed to do without having to worry about the underlying technology.  Megan: And Brendan, during that time, it seemed everyone became a Zoom user of some sort. I mean, what was the first mission at Zoom when virtual connection became this necessity for everyone?  Brendan: Well, our mission fundamentally didn’t change. It’s always been about delivering frictionless communications. What shifted was the urgency and the magnitude of what we were doing. Our focus shifted on how we do this reliably, securely, and to scale to ensure these millions of new users could connect instantly without friction. We really shifted our thinking of being just a business continuity tool to becoming a lifeline for so many individuals and industries. The stories that we heard across education, healthcare, and just general human connection, the number of those moments that matter to people that we were able to help facilitate just became so important. We really focused on how can we be there and make it frictionless so folks can focus on that human connection. And that accelerated our thinking in terms of innovation and reinforced the thought that we need to focus on the simplicity, accessibility, and trust in communication technology so that people could focus on that connection and not the technology that makes it possible.  Megan: That’s so true. It did really just become an absolute lifeline for people, didn’t it? And before we dive into the technologies beyond these emerging capabilities, I wonder if we could first talk about just the importance of clear audio. I mean, Sam, as much as we all worry over how we look on Zoom, is how we sound perhaps as or even more impactful?  Sam: Yeah, you’re absolutely correct. I mean, clear audio is absolutely critical for effective communications. Video quality is very important absolutely, but poor audio can really hinder understanding and engagement. As a matter of fact, there’s studies and research from areas such as Yale University that say that poor audio can make understanding somewhat more challenged and even affect retention of information. Especially in an educational type environment where there’s a lot of background noise and very differing types of spaces like auditoriums and lecture halls, it really becomes a high priority that you have great audio quality. And during the pandemic, as you said, and as Brendan rightly said, it became one of our highest priorities to focus on technologies like beamforming mics and ways to focus on the speaker’s voice and minimize that unwanted background noise so that we could ensure that the communication was efficient, was well understood, and that it removed the distraction so people could be able to actually communicate and retain the information that was being shared.  Megan: It is incredible just how impactful audio can be, can’t it? Brendan, I mean as you said, remote and hybrid collaboration is part of Zoom’s DNA. What observations can you share about how users have grown along with the technological advancements and maybe how their expectations have grown as well?  Brendan: Definitely. I mean, users now expect seamless and intelligent experiences. Audio and video just working is a baseline for collaboration. That expectation has shifted from connecting people to enhancing productivity and creativity across the entire ecosystem. When we look at it, we’re really looking at these trends in terms of how people want to be better when they’re at home. For example, AI-powered tools like Smart Summaries, translation and noise suppression to help people stay productive and connected no matter where they’re working. But then this also comes into play at the office. We’re starting to see folks that dive into our technology like Intelligent Director and Smart Name Tags that create that meeting equity even when they’re in a conference room.  So, the remote experience and the room experience all are similar and create that same ability to be seen, heard, and contribute. And we’re now diving further into this that it’s beyond just meetings. Zoom is really transforming into an AI-first work platform that’s focused on human connection. And so that goes beyond the meetings into things like Chat, Zoom Docs, Zoom Events and Webinars, the Zoom Contact Center and more. And all of this being brought together using our AI Companion at its core to help connect all of those different points of connection for individuals.  Megan: I mean, so Brendan, we know it wasn’t only workplaces that were affected by the pandemic, it was also the education sector that had to undergo a huge change. I wondered if you could talk a little bit about how Zoom has operated in that higher education sphere as well.  Brendan: Definitely. Education has always been a focus for Zoom and an area that we’ve believed in. Because education and learning is something as a company we value and so we have invested in that sector. And personally being the son of academics, it is always an area that I find fascinating. We continue to invest in terms of how do we make the classroom a stronger space? And especially now that the classroom has changed, where it can be in person, it can be virtual, it can be a mix. And using Zoom and its tools, we’re able to help bridge all those different scenarios to make learning accessible to students no matter their means.  That’s what truly excites us, is being able to have that technology that allows people to pursue their desires, their interests, and really up-level their pursuits and inspire more. We’re constantly investing in how to allow those messages to get out and to integrate in the flow of communication and collaboration that higher education uses, whether that’s being integrated into the classroom, into learning management systems, to make that a seamless flow so that students and their educators can just collaborate seamlessly. And also that we can support all the infrastructure and administration that helps make that possible.  Megan: Absolutely. Such an important thing. And Sam, Shure as well, could you talk to us a bit about how you worked in that kind of education space as well from an audio point of view?  Sam: Absolutely. Actually, this is a topic that’s near and dear to my heart because I’m actually an adjunct professor in my free time.  Megan: Oh, wow. Very impressive.  Sam: And the challenges of trying to do this sort of a hybrid lecture, if you will. And Shure has been particularly well suited for this environment and we’ve been focused on it and investing in technologies there for decades. If you think about how a lecture hall is structured, it’s a little different than just having a meeting around the conference table. And Shure has focused on creating products that allow this combination of a presenter scenario along with a meeting space plus the far end where users or students are remote, they can hear intelligibly what’s happening in the lecture hall, but they can also participate.  Between our products like the Ceiling Mic Arrays and our wireless microphones that are purpose built for presenters and educators like our MXW neXt product line, we’ve created technologies that allow those two previously separate worlds to integrate together. And then add that onto integrating with Zoom and other products that allow for that collaboration has been very instrumental. And again, being a user and providing those lectures, I can see a night and day difference and just how much more effective my lectures are today from where they were five to six years ago. And that’s all just made possible by all the technologies that are purpose built for these scenarios and integrating more with these powerful tools that just make the job so much more seamless.  Megan: Absolutely fascinating that you got to put the technology to use yourself as well to check that it was all working well. And you mentioned AI there, of course. I mean, Sam, what AI technologies have had the most significant impact on recent audio advancements too?  Sam: Yeah. Absolutely. If you think about the fundamental need here, it’s the ability to amplify the audio and the information that’s really needed and diminish the unwanted sounds and audio so that we can enhance that experience and make it seamless for people to communicate. With our innovations at Shure, we’ve leveraged the cutting-edge technologies to both enhance communication effectiveness and to align seamlessly with evolving features in unified communications like the ones that Brandon just mentioned in the Zoom platforms.   We partner with industry leaders like Zoom to ensure that we’re providing the ability to be able to focus on that needed audio and eliminate all the background distractions. AI has transformed that audio technology with things like machine learning algorithms that enable us to do more real-time audio processing and significantly enhancing things like noise reduction and speech isolation. Just to give you a simple example, our IntelliMix Room audio processing software that we’ve released as well as part of a complete room solution uses AI to optimize sound in different environments.  And really that’s one of the fundamental changes in this period, whether that’s pandemic or post-pandemic, is that the key is really flexibility and being able to adapt to changing work environments. Even if you’re not working from home and coming into the office, the types of spaces and environments you try to collaborate in today are constantly changing because our needs are constantly changing. And so having software and algorithms that adapt seamlessly and are able to self-optimize based on the acoustics of the room, based on the different layouts of the spaces where people collaborate in is instrumental.   And then last but not least, AI has transformed the way audio and video integrate. For example, we utilize voice recognition systems that integrate with intelligent cameras so that we enable voice tracking technology so that cameras can not only identify who’s speaking, but you have the ability to hear and see people clearly. And that in general just enhances the overall communication experience.  Megan: Wow. It’s just so much innovation in quite a short space of time really. I mean, Brendan, you mentioned AI a little bit there beforehand, but I wonder what other AI technologies have had the biggest impact as Zoom builds out its own emerging capabilities?  Brendan: Definitely. And I couldn’t agree more with Sam that, I mean, AI has made such a big shift and it’s really across the spectrum. And when I think about it, there’s almost three tiers when you look at the stack. You start off at the raw audio where AI is doing those things like noise suppression, echo cancellation, voice enhancements. All of that just makes this amazing audio signal that can then go into the next layer, which is the speech AI and natural language processing. Which starts to open up those items such as the real-time transcription, translation, searchable content to make the communication not just what’s heard, but making it more accessible to more individuals and inclusive by providing that content in a format that is best for them.  And then you take those two layers and put the generative and agentic AI on top of that, that can start surfacing insights, summarize the conversation, and even take actions on someone’s behalf. It really starts to change the way that people work and how they have access and allows them to connect. I think it is a huge shift and I’m very excited by how those three levels start to interact to really enable people to do more and to connect thanks to AI.  Megan: Yeah. Absolutely. So much rich information that can come out from a single call now because of those sorts of tools. And following on from that, Brendan, I mean, you mentioned before the Zoom AI Companion. I wondered if you could talk a bit about what were your top priorities when building that product to ensure it was truly useful for your customers?  Brendan: Definitely. When we developed AI Companion, we had two priority focus areas from day one, trust and security, and then accuracy and relevance. On the trust side, it was a non-negotiable that customer data wouldn’t be used to train our models. People need to know that their conversations and content are private and secure.  Megan: Of course.  Brendan: And then with accuracy, we needed to ensure AI outputs weren’t generic but grounded in the actual context of a meeting, a chat or a product. But the real story here when I think about AI Companion is the customer value that it delivers. AI Companion helps people save time with meeting recaps, task generation, and proactive prep for the next session. It reduces that friction in hybrid work, whether you’re in a meeting room, a Zoom room, or collaborating across different collaboration tools like Microsoft or Google. And it enables more equitable participation by surfacing the right context for everyone no matter where and how they’re working.   All this leads to a result where it’s practical, trustworthy, and embedded where work happens. And it’s just not another tool to manage, it’s there in someone’s flow of work to help them along the way.  Megan: Yeah. That trust piece is just so important, isn’t it, today? And Sam, as much as AI has impacted audio innovation, audio has also had an impact on AI capabilities. I wondered if you could talk a little bit about audio as a data input and the advancements technologies like large language models, LLMs, are enabling.  Sam: Absolutely. Audio is really a rich data source that’s added a new dimension to AI capabilities. If you think about speech recognition or natural language processing, they’ve had significant advances due to audio data that’s provided for them. And to Brendan’s point about trust and accuracy, I like to think of the products that Shure enables customers with as essentially the eyes and ears in the room for leading AI companions just like the Zoom AI Companion. You really need that pristine audio input to be able to trust the accuracy of what the AI generates. These AI Companions have been very instrumental in the way we do business every day. I mean, between transcription, speaker attributions, the ability to add action items within a meeting and be able to track what’s happening in our interactions, all of that really has to rely on that accurate and pristine input from audio into the AI. I feel that further improves the trust that our end users have to the results of AI and be able to leverage it more.   If you think about it, if you look at how AI audio inputs enhance that interactive AI system, it enables more natural and intuitive interactions with AI. And it really allows for that seamless integration and the ability for users to use it without having to worry about, is the room set up correctly? Is the audio level proper? And when we talk even about agentic AI, we’re working on future developments where systems can self-heal or detect that there are issues in the environment so that they can autocorrect and adapt in all these different environments and further enable the AI to be able to do a much more effective job, if you will.  Megan: Sam, you touched on future developments there. I wonder if we could close our conversation today with a bit of a future forward look, if we could. Brendan, can you share innovations that Zoom is working on now and what are you most excited to see come to fruition?  Brendan: Well, your timing for this question is absolutely perfect because we’ve just wrapped up Zoomtopia 2025.  Megan: Oh, wow.  Brendan: And this is where we discussed a lot of the new AI innovations that we have coming to Zoom. Starting off, there’s AI Companion 3.0. And we’ve launched this next generation of agentic AI capabilities in Zoom Workplace. And with 3.0 when it releases, it isn’t just about transcribing, it’s turned into really a platform that helps you with follow-up task, prep for your next conversation, and even proactively suggest how to free up your time. For example, AI Companion can help you schedule meetings intelligently across time zones, suggest which meetings you can skip, and still stay informed and even prepare you with context and insights before you walk into the conversation. It’s about helping people focus on strategy and creativity instead of administrative busy work. And for hybrid work specifically, we introduced Zoomie Group Assistant, which will be a big leap for hybrid collaboration.  Acting as an assistant for a group chat and meetings, you can simply ask, “@Zoomie, what’s the latest update on the project?” Or “@Zoomie, what are the team’s action items?” And then get instant answers. Or because we’re talking about audio here, you can go into a conference room and say, “Hey, Zoomie,” and get help with things like checking into a room, adjusting lights, temperature, or even sharing your screen. And while all these are built-in features, we’re also expanding the platform to allow custom AI agents through our AI Studio, so organizations can bring their own agents or integrate with third-party ones.   Zoom has always believed in an open platform and philosophy and that is continuing. Folks using AI Companion 3.0 will be able to use agents across platforms to work with the workflows that they have across all the different SaaS vendors that they might have in their environment, whether that’s Google, Microsoft, ServiceNow, Cisco, and so many other tools.  Megan: Fantastic. It certainly sounds like a tool I could use in my work, so I look forward to hearing more about that. And Sam, we’ve touched on there are so many exciting things happening in audio too. What are you working on at Shure? And what are you most excited to see come to fruition?  Sam: At Shure, our engineering teams are really working on a range of exciting projects, but particularly we’re working on developing new collaboration solutions that are integral for IT end users. And these integrate obviously with the leading UC platforms.   We’re integrating audio and video technologies that are scalable, reliable solutions. And we want to be able to seamlessly connect these to cloud services so that we can leverage both AI technologies and the tool sets available to optimize every type of workspace essentially. Not just meeting rooms, but lecture halls, work from home scenarios, et cetera.   The other area that we really focus on in terms of our reliability and quality really comes from our DNA in the pro audio world. And that’s really all-around wireless audio technologies. We’re developing our next-generation wireless systems and these are going to offer even greater reliability and range. And they really become ideal for everything from a large-scale event to personal home use and the gamut across that whole spectrum. And I think all of that in partnership with our partners like Zoom will help just facilitate the modern workspace.  Megan: Absolutely. So much exciting innovation clearly going on behind the scenes. Thank you both so much.   That was Sam Sabet, chief technology officer at Shure, and Brendan Ittelson, chief ecosystem officer at Zoom, whom I spoke with from Brighton in England.   That’s it for this episode of Business Lab. I’m your host, Megan Tatum. I’m a contributing editor at Insights, the custom publishing division of MIT Technology Review. We were founded in 1899 at the Massachusetts Institute of Technology and you can find us in print on the web and at events each year around the world. For more information about us and the show, please check out our website at technologyreview.com.   This show is available wherever you get your podcasts. And if you enjoyed this episode, we hope you’ll take a moment to rate and review us. Business Lab is a production of MIT Technology Review and this episode was produced by Giro Studios. Thanks for listening. 

In partnership withShure

When work went remote, the sound of business changed. What began as a scramble to make home offices functional has evolved into a revolution in how people hear and are heard. From education to enterprises, companies across industries have reimagined what clear, reliable communication can mean in a hybrid world. For major audio and communications enterprises like Shure and Zoom, that transformation has been powered by artificial intelligence, new acoustic technologies, and a shared mission: making connection effortless. 

Necessity during the pandemic accelerated years of innovation in months.  

“Audio and video just working is a baseline for collaboration,” says chief ecosystem officer at Zoom, Brendan Ittelson. “That expectation has shifted from connecting people to enhancing productivity and creativity across the entire ecosystem.”  

Audio is a foundation for trust, understanding, and collaboration. Poor sound quality can distort meaning and fatigue listeners, while crisp audio and intelligent processing can make digital interactions feel nearly as natural as in-person exchanges. 

“If you think about the fundamental need here,” adds chief technology officer at Shure, Sam Sabet, “It’s the ability to amplify the audio and the information that’s really needed, and diminish the unwanted sounds and audio so that we can enhance that experience and make it seamless for people to communicate.”  

For both Ittelson and Sabet, AI now sits at the center of this progress. For Shure, machine learning powers real-time noise suppression, adaptive beamforming, and spatial audio that tunes itself to a room’s acoustics. For Zoom, AI underpins every layer of its platform, from dynamic noise reduction to automated meeting summaries and intelligent assistants that anticipate user needs. These tools are transforming communication from reactive to proactive, enabling systems that understand intent, context, and emotion. 

“Even if you’re not working from home and coming into the office, the types of spaces and environments you try to collaborate in today are constantly changing because our needs are constantly changing,” says Sabet. “Having software and algorithms that adapt seamlessly and self-optimize based on the acoustics of the room, based on the different layouts of the spaces where people collaborate in is instrumental.” 

The future, they suggest, is one where technology fades into the background. As audio devices and AI companions learn to self-optimize, users won’t think about microphones or meeting links. Instead, they’ll simply connect. Both companies are now exploring agentic AI systems and advanced wireless solutions that promise to make collaboration seamless across spaces, whether in classrooms, conference rooms, or virtual environments yet to come. 

“It’s about helping people focus on strategy and creativity instead of administrative busy work,” says Ittelson. 

This episode of Business Lab is produced in partnership with Shure. 

Full Transcript 

Megan Tatum: From MIT Technology Review, I’m Megan Tatum and this is Business Lab, the show that helps business leaders make sense of new technologies coming out of the lab and into the marketplace.  

This episode is produced in partnership with Shure.  

Now as the pandemic ushered in the cultural shift that led to our increasingly virtual world, it also sparked a flurry of innovation in the audio and video industries to keep employees and customers connected and businesses running. Today we’re going to talk about the AI technologies behind those innovations, the impact on audio innovation, and the continuing emerging opportunities for further advances in audio capabilities.  

Two words for you: elevated audio.  

My guests today are Sam Sabet, chief technology officer at Shure, and Brendan Ittelson, chief ecosystem officer at Zoom.  

Welcome Sam, welcome Brendan. 

Sam Sabet: Thank you, Megan. It’s a pleasure to be here and I’m looking forward to this conversation with both you and Brendan. It should be a very exciting conversation. 

Brendan Ittelson: Thank you so much for having me today. I’m looking forward to the conversation and all the topics we have to dive into on this area. 

Megan: Fantastic. Lovely to have you both here. And Sam, just to set some context, I wonder if we could start with the pandemic and the innovation that really was born out of necessity. I mean, when it became clear that we were all going to be virtual for the foreseeable future, I wonder what was the first technological mission for Shure? 

Sam: Yeah, very good question. The pandemic really accelerated a lot of innovation around virtual communications and fundamentally how we perform our everyday jobs remotely. One of our first technological mission when the pandemic happened and everybody ended up going home and performing their functions remotely was to make sure that people could continue to communicate effectively, whether that’s for business meetings, virtual events, or educational purposes. We focused on collaboration and enhancing collaboration tools. And ideally what we were aiming to do, or we focused on, was to basically improve the ease of use and configuration of audio tool sets. 

Because unlike the office environment where it might be a lot more controlled, people are working from non-traditional areas like home offices or other makeshift solutions, we needed to make sure that people could still get pristine audio and that studio level audio even in uncontrolled environments that are not really made for that. We expedited development in our software solutions. We created tool sets that allowed for ease of deployment and remote configuration and management so we could enable people to continue doing the things they needed to do without having to worry about the underlying technology. 

Megan: And Brendan, during that time, it seemed everyone became a Zoom user of some sort. I mean, what was the first mission at Zoom when virtual connection became this necessity for everyone? 

Brendan: Well, our mission fundamentally didn’t change. It’s always been about delivering frictionless communications. What shifted was the urgency and the magnitude of what we were doing. Our focus shifted on how we do this reliably, securely, and to scale to ensure these millions of new users could connect instantly without friction. We really shifted our thinking of being just a business continuity tool to becoming a lifeline for so many individuals and industries. The stories that we heard across education, healthcare, and just general human connection, the number of those moments that matter to people that we were able to help facilitate just became so important. We really focused on how can we be there and make it frictionless so folks can focus on that human connection. And that accelerated our thinking in terms of innovation and reinforced the thought that we need to focus on the simplicity, accessibility, and trust in communication technology so that people could focus on that connection and not the technology that makes it possible. 

Megan: That’s so true. It did really just become an absolute lifeline for people, didn’t it? And before we dive into the technologies beyond these emerging capabilities, I wonder if we could first talk about just the importance of clear audio. I mean, Sam, as much as we all worry over how we look on Zoom, is how we sound perhaps as or even more impactful? 

Sam: Yeah, you’re absolutely correct. I mean, clear audio is absolutely critical for effective communications. Video quality is very important absolutely, but poor audio can really hinder understanding and engagement. As a matter of fact, there’s studies and research from areas such as Yale University that say that poor audio can make understanding somewhat more challenged and even affect retention of information. Especially in an educational type environment where there’s a lot of background noise and very differing types of spaces like auditoriums and lecture halls, it really becomes a high priority that you have great audio quality. And during the pandemic, as you said, and as Brendan rightly said, it became one of our highest priorities to focus on technologies like beamforming mics and ways to focus on the speaker’s voice and minimize that unwanted background noise so that we could ensure that the communication was efficient, was well understood, and that it removed the distraction so people could be able to actually communicate and retain the information that was being shared. 

Megan: It is incredible just how impactful audio can be, can’t it? Brendan, I mean as you said, remote and hybrid collaboration is part of Zoom’s DNA. What observations can you share about how users have grown along with the technological advancements and maybe how their expectations have grown as well? 

Brendan: Definitely. I mean, users now expect seamless and intelligent experiences. Audio and video just working is a baseline for collaboration. That expectation has shifted from connecting people to enhancing productivity and creativity across the entire ecosystem. When we look at it, we’re really looking at these trends in terms of how people want to be better when they’re at home. For example, AI-powered tools like Smart Summaries, translation and noise suppression to help people stay productive and connected no matter where they’re working. But then this also comes into play at the office. We’re starting to see folks that dive into our technology like Intelligent Director and Smart Name Tags that create that meeting equity even when they’re in a conference room. 

So, the remote experience and the room experience all are similar and create that same ability to be seen, heard, and contribute. And we’re now diving further into this that it’s beyond just meetings. Zoom is really transforming into an AI-first work platform that’s focused on human connection. And so that goes beyond the meetings into things like Chat, Zoom Docs, Zoom Events and Webinars, the Zoom Contact Center and more. And all of this being brought together using our AI Companion at its core to help connect all of those different points of connection for individuals. 

Megan: I mean, so Brendan, we know it wasn’t only workplaces that were affected by the pandemic, it was also the education sector that had to undergo a huge change. I wondered if you could talk a little bit about how Zoom has operated in that higher education sphere as well. 

Brendan: Definitely. Education has always been a focus for Zoom and an area that we’ve believed in. Because education and learning is something as a company we value and so we have invested in that sector. And personally being the son of academics, it is always an area that I find fascinating. We continue to invest in terms of how do we make the classroom a stronger space? And especially now that the classroom has changed, where it can be in person, it can be virtual, it can be a mix. And using Zoom and its tools, we’re able to help bridge all those different scenarios to make learning accessible to students no matter their means. 

That’s what truly excites us, is being able to have that technology that allows people to pursue their desires, their interests, and really up-level their pursuits and inspire more. We’re constantly investing in how to allow those messages to get out and to integrate in the flow of communication and collaboration that higher education uses, whether that’s being integrated into the classroom, into learning management systems, to make that a seamless flow so that students and their educators can just collaborate seamlessly. And also that we can support all the infrastructure and administration that helps make that possible. 

Megan: Absolutely. Such an important thing. And Sam, Shure as well, could you talk to us a bit about how you worked in that kind of education space as well from an audio point of view? 

Sam: Absolutely. Actually, this is a topic that’s near and dear to my heart because I’m actually an adjunct professor in my free time. 

Megan: Oh, wow. Very impressive. 

Sam: And the challenges of trying to do this sort of a hybrid lecture, if you will. And Shure has been particularly well suited for this environment and we’ve been focused on it and investing in technologies there for decades. If you think about how a lecture hall is structured, it’s a little different than just having a meeting around the conference table. And Shure has focused on creating products that allow this combination of a presenter scenario along with a meeting space plus the far end where users or students are remote, they can hear intelligibly what’s happening in the lecture hall, but they can also participate. 

Between our products like the Ceiling Mic Arrays and our wireless microphones that are purpose built for presenters and educators like our MXW neXt product line, we’ve created technologies that allow those two previously separate worlds to integrate together. And then add that onto integrating with Zoom and other products that allow for that collaboration has been very instrumental. And again, being a user and providing those lectures, I can see a night and day difference and just how much more effective my lectures are today from where they were five to six years ago. And that’s all just made possible by all the technologies that are purpose built for these scenarios and integrating more with these powerful tools that just make the job so much more seamless. 

Megan: Absolutely fascinating that you got to put the technology to use yourself as well to check that it was all working well. And you mentioned AI there, of course. I mean, Sam, what AI technologies have had the most significant impact on recent audio advancements too? 

Sam: Yeah. Absolutely. If you think about the fundamental need here, it’s the ability to amplify the audio and the information that’s really needed and diminish the unwanted sounds and audio so that we can enhance that experience and make it seamless for people to communicate. With our innovations at Shure, we’ve leveraged the cutting-edge technologies to both enhance communication effectiveness and to align seamlessly with evolving features in unified communications like the ones that Brandon just mentioned in the Zoom platforms.  

We partner with industry leaders like Zoom to ensure that we’re providing the ability to be able to focus on that needed audio and eliminate all the background distractions. AI has transformed that audio technology with things like machine learning algorithms that enable us to do more real-time audio processing and significantly enhancing things like noise reduction and speech isolation. Just to give you a simple example, our IntelliMix Room audio processing software that we’ve released as well as part of a complete room solution uses AI to optimize sound in different environments. 

And really that’s one of the fundamental changes in this period, whether that’s pandemic or post-pandemic, is that the key is really flexibility and being able to adapt to changing work environments. Even if you’re not working from home and coming into the office, the types of spaces and environments you try to collaborate in today are constantly changing because our needs are constantly changing. And so having software and algorithms that adapt seamlessly and are able to self-optimize based on the acoustics of the room, based on the different layouts of the spaces where people collaborate in is instrumental.  

And then last but not least, AI has transformed the way audio and video integrate. For example, we utilize voice recognition systems that integrate with intelligent cameras so that we enable voice tracking technology so that cameras can not only identify who’s speaking, but you have the ability to hear and see people clearly. And that in general just enhances the overall communication experience. 

Megan: Wow. It’s just so much innovation in quite a short space of time really. I mean, Brendan, you mentioned AI a little bit there beforehand, but I wonder what other AI technologies have had the biggest impact as Zoom builds out its own emerging capabilities? 

Brendan: Definitely. And I couldn’t agree more with Sam that, I mean, AI has made such a big shift and it’s really across the spectrum. And when I think about it, there’s almost three tiers when you look at the stack. You start off at the raw audio where AI is doing those things like noise suppression, echo cancellation, voice enhancements. All of that just makes this amazing audio signal that can then go into the next layer, which is the speech AI and natural language processing. Which starts to open up those items such as the real-time transcription, translation, searchable content to make the communication not just what’s heard, but making it more accessible to more individuals and inclusive by providing that content in a format that is best for them. 

And then you take those two layers and put the generative and agentic AI on top of that, that can start surfacing insights, summarize the conversation, and even take actions on someone’s behalf. It really starts to change the way that people work and how they have access and allows them to connect. I think it is a huge shift and I’m very excited by how those three levels start to interact to really enable people to do more and to connect thanks to AI. 

Megan: Yeah. Absolutely. So much rich information that can come out from a single call now because of those sorts of tools. And following on from that, Brendan, I mean, you mentioned before the Zoom AI Companion. I wondered if you could talk a bit about what were your top priorities when building that product to ensure it was truly useful for your customers? 

Brendan: Definitely. When we developed AI Companion, we had two priority focus areas from day one, trust and security, and then accuracy and relevance. On the trust side, it was a non-negotiable that customer data wouldn’t be used to train our models. People need to know that their conversations and content are private and secure. 

Megan: Of course. 

Brendan: And then with accuracy, we needed to ensure AI outputs weren’t generic but grounded in the actual context of a meeting, a chat or a product. But the real story here when I think about AI Companion is the customer value that it delivers. AI Companion helps people save time with meeting recaps, task generation, and proactive prep for the next session. It reduces that friction in hybrid work, whether you’re in a meeting room, a Zoom room, or collaborating across different collaboration tools like Microsoft or Google. And it enables more equitable participation by surfacing the right context for everyone no matter where and how they’re working.  

All this leads to a result where it’s practical, trustworthy, and embedded where work happens. And it’s just not another tool to manage, it’s there in someone’s flow of work to help them along the way. 

Megan: Yeah. That trust piece is just so important, isn’t it, today? And Sam, as much as AI has impacted audio innovation, audio has also had an impact on AI capabilities. I wondered if you could talk a little bit about audio as a data input and the advancements technologies like large language models, LLMs, are enabling. 

Sam: Absolutely. Audio is really a rich data source that’s added a new dimension to AI capabilities. If you think about speech recognition or natural language processing, they’ve had significant advances due to audio data that’s provided for them. And to Brendan’s point about trust and accuracy, I like to think of the products that Shure enables customers with as essentially the eyes and ears in the room for leading AI companions just like the Zoom AI Companion. You really need that pristine audio input to be able to trust the accuracy of what the AI generates. These AI Companions have been very instrumental in the way we do business every day. I mean, between transcription, speaker attributions, the ability to add action items within a meeting and be able to track what’s happening in our interactions, all of that really has to rely on that accurate and pristine input from audio into the AI. I feel that further improves the trust that our end users have to the results of AI and be able to leverage it more.  

If you think about it, if you look at how AI audio inputs enhance that interactive AI system, it enables more natural and intuitive interactions with AI. And it really allows for that seamless integration and the ability for users to use it without having to worry about, is the room set up correctly? Is the audio level proper? And when we talk even about agentic AI, we’re working on future developments where systems can self-heal or detect that there are issues in the environment so that they can autocorrect and adapt in all these different environments and further enable the AI to be able to do a much more effective job, if you will. 

Megan: Sam, you touched on future developments there. I wonder if we could close our conversation today with a bit of a future forward look, if we could. Brendan, can you share innovations that Zoom is working on now and what are you most excited to see come to fruition? 

Brendan: Well, your timing for this question is absolutely perfect because we’ve just wrapped up Zoomtopia 2025. 

Megan: Oh, wow. 

Brendan: And this is where we discussed a lot of the new AI innovations that we have coming to Zoom. Starting off, there’s AI Companion 3.0. And we’ve launched this next generation of agentic AI capabilities in Zoom Workplace. And with 3.0 when it releases, it isn’t just about transcribing, it’s turned into really a platform that helps you with follow-up task, prep for your next conversation, and even proactively suggest how to free up your time. For example, AI Companion can help you schedule meetings intelligently across time zones, suggest which meetings you can skip, and still stay informed and even prepare you with context and insights before you walk into the conversation. It’s about helping people focus on strategy and creativity instead of administrative busy work. And for hybrid work specifically, we introduced Zoomie Group Assistant, which will be a big leap for hybrid collaboration. 

Acting as an assistant for a group chat and meetings, you can simply ask, “@Zoomie, what’s the latest update on the project?” Or “@Zoomie, what are the team’s action items?” And then get instant answers. Or because we’re talking about audio here, you can go into a conference room and say, “Hey, Zoomie,” and get help with things like checking into a room, adjusting lights, temperature, or even sharing your screen. And while all these are built-in features, we’re also expanding the platform to allow custom AI agents through our AI Studio, so organizations can bring their own agents or integrate with third-party ones.  

Zoom has always believed in an open platform and philosophy and that is continuing. Folks using AI Companion 3.0 will be able to use agents across platforms to work with the workflows that they have across all the different SaaS vendors that they might have in their environment, whether that’s Google, Microsoft, ServiceNow, Cisco, and so many other tools. 

Megan: Fantastic. It certainly sounds like a tool I could use in my work, so I look forward to hearing more about that. And Sam, we’ve touched on there are so many exciting things happening in audio too. What are you working on at Shure? And what are you most excited to see come to fruition? 

Sam: At Shure, our engineering teams are really working on a range of exciting projects, but particularly we’re working on developing new collaboration solutions that are integral for IT end users. And these integrate obviously with the leading UC platforms.  

We’re integrating audio and video technologies that are scalable, reliable solutions. And we want to be able to seamlessly connect these to cloud services so that we can leverage both AI technologies and the tool sets available to optimize every type of workspace essentially. Not just meeting rooms, but lecture halls, work from home scenarios, et cetera.  

The other area that we really focus on in terms of our reliability and quality really comes from our DNA in the pro audio world. And that’s really all-around wireless audio technologies. We’re developing our next-generation wireless systems and these are going to offer even greater reliability and range. And they really become ideal for everything from a large-scale event to personal home use and the gamut across that whole spectrum. And I think all of that in partnership with our partners like Zoom will help just facilitate the modern workspace. 

Megan: Absolutely. So much exciting innovation clearly going on behind the scenes. Thank you both so much.  

That was Sam Sabet, chief technology officer at Shure, and Brendan Ittelson, chief ecosystem officer at Zoom, whom I spoke with from Brighton in England.  

That’s it for this episode of Business Lab. I’m your host, Megan Tatum. I’m a contributing editor at Insights, the custom publishing division of MIT Technology Review. We were founded in 1899 at the Massachusetts Institute of Technology and you can find us in print on the web and at events each year around the world. For more information about us and the show, please check out our website at technologyreview.com.  

This show is available wherever you get your podcasts. And if you enjoyed this episode, we hope you’ll take a moment to rate and review us. Business Lab is a production of MIT Technology Review and this episode was produced by Giro Studios. Thanks for listening. 

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Trump Administration Keeps Coal Plant Open to Ensure Affordable, Reliable and Secure Power in the Northwest

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Brent retreats from highs after Trump signals Iran war nearing end

@import url(‘https://fonts.googleapis.com/css2?family=Inter:[email protected]&display=swap’); a { color: var(–color-primary-main); } .ebm-page__main h1, .ebm-page__main h2, .ebm-page__main h3, .ebm-page__main h4, .ebm-page__main h5, .ebm-page__main h6 { font-family: Inter; } body { line-height: 150%; letter-spacing: 0.025em; font-family: Inter; } button, .ebm-button-wrapper { font-family: Inter; } .label-style { text-transform: uppercase; color: var(–color-grey); font-weight: 600; font-size: 0.75rem; } .caption-style { font-size: 0.75rem; opacity: .6; } #onetrust-pc-sdk [id*=btn-handler], #onetrust-pc-sdk [class*=btn-handler] { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-policy a, #onetrust-pc-sdk a, #ot-pc-content a { color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-pc-sdk .ot-active-menu { border-color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-accept-btn-handler, #onetrust-banner-sdk #onetrust-reject-all-handler, #onetrust-consent-sdk #onetrust-pc-btn-handler.cookie-setting-link { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-consent-sdk .onetrust-pc-btn-handler { color: #c19a06 !important; border-color: #c19a06 !important; } Oil futures eased from recent highs Tuesday as markets reacted to comments from US President Donald Trump suggesting the war with Iran may be nearing its conclusion, easing concerns about prolonged disruptions to Middle East crude supplies. Brent crude had climbed above $100/bbl amid escalating tensions in the region and fears that the war could prolong disruptions to shipments through the Strait of Hormuz—one of the world’s most critical energy chokepoints and a transit route for roughly one-fifth of global oil supply. Prices pulled back after Pres. Trump said the war was “almost done,” prompting traders to reassess the risk premium that had built into crude markets during the latest escalation. The earlier gains were driven by the fact that the war had disrupted tanker traffic in the Strait of Hormuz, raising concerns about wider supply disruptions from major Gulf oil producers. While the latest remarks helped calm markets, analysts note that geopolitical risks remain elevated and price volatility is likely to persist as traders monitor developments in the region. Any renewed escalation could quickly send crude prices higher again.

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Southwest Arkansas lithium project moves toward FID with 10-year offtake deal

Smackover Lithium, a joint venture between Standard Lithium Ltd. and Equinor, through subsidiaries of Equinor ASA, signed the first commercial offtake agreement for the South West Arkansas Project (SWA Project) with commodities group Trafigura Trading LLC. Under the terms of a binding take-or-pay offtake agreement, the JV will supply Trafigura with 8,000 metric tonnes/year (tpy) of battery-quality lithium carbonate (Li2CO3) over a 10-year period, beginning at the start of commercial production. Smackover Lithium is expected to achieve final investment decision (FID) for the project, which aims to use direct lithium extraction technology to produce lithium from brine resources in the Smackover formation in southern Arkansas, in 2026, with first production anticipated in 2028. The project encompasses about 30,000 acres of brine leases in the region, with the initial phase of project development focused on production from the 20,854-acre Reynolds Brine Unit.   Front-end engineering design was completed in support of a definitive feasibility study with a principal recommendation that the project is ready to progress to FID.  While pricing terms of the Trafigura deal were kept confidential, Standard Lithium said they are “structured to support the anticipated financing for the project.” The JV is seeking to finalize customer offtake agreements for roughly 80% of the 22,500 tonnes of annual nameplate lithium carbonate capacity for the initial phase of the project. This agreement represents over 40% of the targeted offtake commitments. Formed in 2024, Smackover Lithium is developing multiple DLE projects in Southwest Arkansas and East Texas. Standard Lithium is operator of the projecs with 55% interest. Equinor holds the remaining 45% interest.

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Equinor makes oil and gas discoveries in the North Sea

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IEA launches record strategic oil release as Middle East war disrupts supply

The International Energy Agency (IEA) on Mar. 11 approved the largest emergency oil stock release in its history, making 400 million bbl available from member-country reserves in response to market disruptions tied to the war in the Middle East. The coordinated action, agreed unanimously by the IEA’s 32 member countries, is intended to ease supply pressure and temper price volatility as crude markets react to disrupted flows through the Strait of Hormuz. “The conflict in the Middle East is having significant impacts on global oil and gas markets, with major implications for energy security, energy affordability and the global economy for oil,” IEA executive director Fatih Birol said. The release more than doubles the previous IEA record set in 2022, when member countries collectively made 182.7 million bbl available following Russia’s invasion of Ukraine. Under the IEA system, member countries are required to maintain emergency oil stocks equal to at least 90 days of net imports, giving the agency a mechanism to respond when severe disruptions threaten global supply. The move comes after crude prices surged amid concerns that the US-Iran war could lead to prolonged disruption of exports from the Gulf. Despite the planned stock release, traders remain uncertain about whether reserve barrels alone will be enough to offset losses if the disruption persists. IEA said the emergency barrels will be supplied to the market from government-controlled and obligated industry stocks held across member countries. The action marks the sixth coordinated stock release in the agency’s history and underscores the seriousness of the current supply shock. Earlier the day, Japanese Prime Minister Sanae Takaichi said that Japan might start using its strategic oil reserves as early as next week, citing Japan’s unusually high dependence on Middle Eastern crude oil.

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Infographic: Strait of Hormuz energy trade 2025

@import url(‘https://fonts.googleapis.com/css2?family=Inter:[email protected]&display=swap’); a { color: var(–color-primary-main); } .ebm-page__main h1, .ebm-page__main h2, .ebm-page__main h3, .ebm-page__main h4, .ebm-page__main h5, .ebm-page__main h6 { font-family: Inter; } body { line-height: 150%; letter-spacing: 0.025em; font-family: Inter; } button, .ebm-button-wrapper { font-family: Inter; } .label-style { text-transform: uppercase; color: var(–color-grey); font-weight: 600; font-size: 0.75rem; } .caption-style { font-size: 0.75rem; opacity: .6; } #onetrust-pc-sdk [id*=btn-handler], #onetrust-pc-sdk [class*=btn-handler] { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-policy a, #onetrust-pc-sdk a, #ot-pc-content a { color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-pc-sdk .ot-active-menu { border-color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-accept-btn-handler, #onetrust-banner-sdk #onetrust-reject-all-handler, #onetrust-consent-sdk #onetrust-pc-btn-handler.cookie-setting-link { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-consent-sdk .onetrust-pc-btn-handler { color: #c19a06 !important; border-color: #c19a06 !important; } Coordinated attacks Feb. 28 by the US and Israel on Iran and the since-escalated conflict have nearly halted shipping traffic through the Strait of Hormuz, which typically carries about 20% of the world’s crude oil and natural gas. OGJ Statistics Editor Laura Bell-Hammer compiled data to showcase 2025 energy trade through the critical transit chokepoint.   <!–> –> <!–> ]–> <!–> ]–>

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Available’s $5B Project Qestrel aims to roll out 1,000 AI-ready edge data centers by year’s end

Available is partnering with wireless infrastructure company Crown Castle, which owns, operates, and leases more than 40,000 cell towers and roughly 90,000 miles of fiber. “Our strategy is to industrialize and modularize deployment by building on telecom co-location and pre-existing physical infrastructure rather than greenfield hyperscale construction,” said Medina. Some initial sites are live (the company declined to say how many, due to “final contractual and commissioning milestones”) and 30 cities are expected to come online by early July. Available is prioritizing dense urban corridors, and early adoption has begun in “major Northeast corridors with a path to nationwide rollout,” Medina explained. The company’s infrastructure will be used by Strata Expanse, which specializes in 60 to 90 day AI data center deployments, and incorporated into Strata’s new full-stack, end-to-end Amphix AI Infrastructure Platform. The neocloud architecture will run up to 48 GPUs per site, bringing AI inferencing to the edge. Many sites will be pre-integrated with IBM’s watsonx; others will be AI-agnostic, allowing enterprises to run their preferred models. According to Available, Project Qestrel will provide:

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Cisco extends its Secure AI Factory with Nvidia

“Customers can now control and manage this environment and operate it like it was a traditional data center fabric,” Wollenweber said. “The ability to bring it under the same Nexus umbrella is actually a huge selling point for AI customers, because their IT infrastructure folks, their operational people that are running the network, already understand how to use these Nexus tools, and so they can now add AI workloads and kind of accelerated computing technologies like GPUs, but in that same Nexus umbrella,” Wollenweber said.  “As Al becomes operational and distributed, complexity becomes the enemy of scale. Fragmented architectures force customers to manage integration, policy enforcement, observability, and security across silos, increasing cost and slowing innovation,” said Wollenweber. “Architecting silicon, networking, compute, security, and Al software into a cohesive system gives organizations a unified operating model, stronger performance guarantees, and embedded trust.” Those are the driving ideas around Cisco Secure AI Factory with Nvidia, Wollenweber said. Introduced a year ago, Secure AI Factory with Nvidia integrates Cisco’s Hypershield and AI Defense packages to help protect the development, deployment, and use of AI models and applications. Hypershield uses AI to dynamically refine security policies based on application identity and behavior. It automates policy creation, optimization, and enforcement across workloads. AI Defense discovers the various models being used in a customer’s AI development and uses four features to help customers enforce AI protection: AI access, AI cloud visibility, AI model and application validation, and AI runtime protection. Cisco integrates Hybrid Mesh Firewall technology On the security side, Cisco said it will embed its Hybrid Mesh Firewall technology to allow for security policy enforcement on Nvidia BlueField data processing units (DPU) that are embedded in Nvidia GPU servers connected to Cisco Nexus One fabrics. Cisco Hybrid Mesh Firewall offers a distributed security fabric

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Middle East war fosters concerns about physical data center security

The most common issue that Guidepost talks about with its clients is insider threats, which can be anyone that is rightfully permitted into your data center. Data centers have very strict rules regarding movement of visitors, but employees pretty much have free rule of the place. “Insider threat could be someone simply putting a USB stick in a server or having access to a data device that they’re not supposed to,” he said. “A threat actor could potentially cause harm within the facility, whether that’s mechanical, electrical, plumbing spaces or the data halls themselves is our number one preventative item that we’re trying to thwart.” When it comes to external threats, Guidepost looks after vehicle-borne IEDs and vehicle ramming, even if it’s accidental. That’s why data centers have high, anti-climb perimeter fences, multi-layered gates. and vehicle barriers that are put in place help to prevent any unwanted vehicles outside of the facility. “It’s a lot of what we call Crime Prevention Through Environmental Design,” said Bekisz. “It’s a theory that we utilize in our industry for ensuring that we are detecting and thwarting individuals before they are willing to commit some type of offensive action or some type of unwanted behavior.” That includes simple things like lighting right or reducing the visibility of the data center through shrubs and trees and berms and using that in consortium with physical preventative devices. Drones are a growing problem, even if they are not being used in kamikaze attacks. Bekisz said the only thing you can do is put in drone detection, so you have some type of device in the air in the area of your facility, and then you call for support from local emergency services.

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Palantir partners with Nvidia to streamline AI data center deployment

This collaboration grants enterprises full control over their data, AI models, and applications while supporting the use of open-source AI models and related data acceleration tools. The Palantir AI OS reference architecture gives enterprises total control over their data, AI models and applications. It is particularly critical for customers with existing GPU infrastructure, latency-sensitive workflows, data sovereignty requirements, and high geographic distribution. “From our first deployment with the United States government and in every deployment since, our software has had to meet the moment in the most complex and sensitive environments where customers must maintain control,” says Akshay Krishnaswamy, Palantir’s chief architect in a statement. “Together with Nvidia — and building on many customers’ existing investments — we are proud to deliver a fully integrated AI operating system that is optimized for Nvidia accelerated compute infrastructure and enables customers to realize the promise of on-premises, edge, and sovereign cloud deployments,” he added. Sovereign AI is an emerging market that represents a country’s efforts to develop and maintain control of its own AI, using its own data, and keeping the data within its borders.

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Who’s in the data-center space race?

But not everyone is that optimistic. According to Gartner, space-based data centers won’t be useful for decades, so companies should focus on expanding capacity down here on Earth. “I honestly think the idea with the current landscape of putting data centers in space is ridiculous,” OpenAI CEO Sam Altman told The Indian Express in February. Current satellite computing can’t easily scale to data centers, agrees Holger Mueller, an analyst at Constellation Research. “Weight is still the restriction,” he says. “It’s the equivalent of you buying a tablet or small laptop to travel across Latin America versus putting in a data center in the Amazon. Different power requirements, investment, totally different setup.” Then there are issues like damaged solar panels from meteorite storms and satellite debris, he adds. “You would have to pay for operational redundancy, which is further investment.” “Data centers will be built where they are affordable,” he says. “I don’t see space happening soon. Remember the Microsoft submerged one? Crickets…” But he agrees that solar power is nice, though the sun is only visible from one side of the planet at any given time. And space is cold, he says. Cooling down in outer space In fact, space is very cold. Close to absolute zero cold. But vacuum is also a great insulator, and there’s no air to move the heat around. “You can’t convect heat away,” says Richard Bonner, CTO at Accelsius, a liquid cooling company. Bonner has worked on NASA research projects about the challenge of cooling in space and is very familiar with the problem. A small proportion of the heat might be turned back into useful electricity, but that’s not really a solution, he says, because computer chips don’t get quite that hot. Instead, heat is radiated. When an object warms up, it generates

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Community Opposition Emerges as New Gatekeeper for AI Data Center Expansion

The rapid global buildout of AI infrastructure is colliding with a new constraint that hyperscalers cannot solve with capital or GPUs: local opposition. In the first months of 2026, community resistance has already begun reshaping the development pipeline. A February analysis by Sightline Climate estimates that 30–50 percent of the data center capacity expected to come online in 2026 may not be delivered on schedule, reflecting a growing set of constraints that now include power availability, permitting challenges, and increasingly organized local opposition. The financial stakes are already substantial. Recent reporting indicates that tens of billions of dollars in planned data center development have been delayed or halted amid community pushback, including an estimated $98 billion worth of projects delayed or blocked in a single quarter of 2025, according to research cited by Data Center Watch. What had been framed throughout 2024 and 2025 as an inevitable expansion of hyperscale campuses, gigawatt-scale power agreements, and AI “factory” clusters is now encountering a different kind of gatekeeper: the communities expected to host the infrastructure. The shift is already visible in project outcomes. Across the United States, multiple projects were canceled, blocked, or fundamentally reshaped in the opening months of 2026 due to organized local opposition. Reporting from The Guardian found that 26 data center projects were canceled in December and January, compared with just one cancellation in October, suggesting that community resistance campaigns are increasingly capable of stopping projects before construction begins. At the same time, local governments are responding to community pressure with moratoriums, zoning restrictions, and permitting delays that can stall projects long enough to jeopardize financing or push developers to seek more favorable jurisdictions. While opposition to data center development is not new, the scale, coordination, and success rate of these efforts suggest a structural shift in how

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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