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How to Succeed in Your Career When Change Is a Constant

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HANNAH BATES: Welcome to HBR On Leadership, case studies and conversations with the world’s top business and management experts—hand-selected to help you unlock the best in those around you.

Bonnie Hammer is the Vice Chairman of NBC Universal, but her role in the media industry wasn’t always that glamorous. In fact, she’s held just about every title there is in the television industry—from production assistant to producer to president. And if you don’t know her name, you definitely know her work. Throughout the 2000s, she led major networks like USA, Syfy, Bravo, and Entertainment Tonight.

Hammer is one of the most influential people in media. She joined host Alison Beard on HBR IdeaCast in 2024 to reflect on her decades-long career, and what it takes to navigate and thrive in one of the most disrupted industries—media.

ALISON BEARD: So at the start of your career, were you looking for a job that would come with a lot of change and dynamism, or was it just something you had to figure out to survive in the industry?

BONNIE HAMMER: Let’s just put it this way, at the start of my career, I was looking for anything to do that gave me a paycheck. I had a passion that I started with, which was photography, and I figured that somehow I’d make a living that way. So my first jobs out of college were working in a dark room at a commercial photography studio, and it led me to a photo editing job, that was kind of boring too. I really worked at finding something with my passion until I tripped into a position that led me to a job, which led me to a career.

So I think the first one was giving up a dream that wasn’t leading me anywhere, and kind of what then became my philosophy in life, following the opportunities, and my first opportunity wasn’t exactly shining. I was the lowest grade production assistant on a kid’s math TV show, on public broadcasting in Boston, literally following a dog around the set and cleaning up his poop. I knew it was an opportunity. I was in a television studio and who knew what it could lead to, and I cleaned up the poop with a smile and realized from then on it was about attitude and following opportunities.

ALISON BEARD: So how did you identify those opportunities that you knew were going to lead you in the direction that the industry was also going?

BONNIE HAMMER: I didn’t look at it towards leaning me to the opportunities that would help me grow, and I think that is one of the obstacles in the way with I think a lot of young people trying to navigate the workplace. What I did was follow opportunities where I would learn, learn almost anything, new skills, how to do something I haven’t done before, meeting new people that I hadn’t met before, with the hope that one of those opportunities would lead me to the next step, as opposed to seeing it as a ladder where you climb rung by rung by rung to get up to the top.

I think if you do that, especially these days when industries are changing so quickly, that the likelihood that, that job, that position or even that industry would still be there in 10 or 20 years, is not realistic. So for me, it was taking on different things that at least sounded interesting or had a new skillset that I could learn, so I could broaden myself. And part of it was sometimes it was the only thing available. So do I not take it and do nothing and complain, or do I take it and just see where it leads me?

ALISON BEARD: And when you could see changes looming, whether it was the rise of cable or the digitization of the industry, I think you went through seven mergers to become what is now NBCUniversal. What did you do to figure out those learning opportunities but also places where you would be safe? How did you try to stay ahead of the change?

BONNIE HAMMER: Well, I think first and foremost, what people have to do is not fear change. Change is going to come. Whether you want it or not, whether you try to control it or not, your boat is going to be rocked, whether you do it or the waves do it, you’re going to get wet.

In our world, change is inevitable. So rather than waste time fearing it and complaining about it and being a naysayer, my gut has always been embrace change. Because you have no control doing anything else. Yes, there’s always a moment of “I can’t believe this is happening again.” And as you said, I’ve gone through seven corporate changes, eight different bosses, and somehow still navigated my way through.

So the first thing was embrace it, meaning, “It’s here, what I have to do is figure out a way that I can fit into this new world.” Which means figuring out what their culture is, doing your homework, talking to people, are they more creative than financial-based? Are they more interested in the bottom line than a great hit? Do they give good feedback and criticism or are they quiet and just watch you? So understand what the culture is and try to accept that.

Then basically try to figure out where the door’s going to be open, meaning, what are your skill sets? What have you done before? What do they need, and how can you fit into their world? And then try to talk to people, get advice on where and how you can fit into this new culture. The minute you become negative, the naysayer, they’re not going to want you around. The minute you seem positive, optimistic, “I want to learn. This is what I’ve done before. I’d love to fit into your world. Show me how.” It empowers the new powers that be to take you under their wing and want to help you grow you, and have you be part of their new regime. That was my way. It was finding a door rather than walls and obstacles.

ALISON BEARD: Yeah, and I think what’s so impressive is that you’ve done that, not just when you were a lowly production assistant, but you’ve done that when you were a really senior executive, trying to figure out what a new regime would feel like and work like.

BONNIE HAMMER: Yes, it happens at every level, and in some ways it’s easier when you’re younger because you can fit in a lot of new areas, but once you have a style of management and you are in a much more senior position, embracing it can be more difficult because you’ve developed your own style. And will that style fit the new regime? Nine out of 10 times, it can, and it will. And I kind of joke that the reason I can be in a room is because I’ve been in so many rooms that I’ve figured out a way where the door is, where a window is, where a crack is, to figure out a way to fit in and join that new culture.

It doesn’t mean I’m not going to have a voice or I’m going to give up my voice, or not be authentic to me or my style of management. It’s just being open to figure out how my style can integrate with the new style, the new tone. I’ve still always remained Bonnie. I’ve still led my team, my people in the same way, but I had to figure out how to translate their values, their bottom line, their definition of success to all of my people so we could still have fun and do what we do, but have it translate in a way that they understand and get it.

ALISON BEARD: Was there ever a time, during the industry ups and downs and the mergers, when you were really worried about the future? And if so, how did you stay focused?

BONNIE HAMMER: You always worry about the future. People keep saying what’s happening now in the business is the biggest change that’s ever happened. AI is going to come in, companies are restructuring, getting smaller and smaller. The truth is that’s happened from the get go. What happened with cable over the decades, that I was lucky enough to be in it, we basically out did broadcast in terms of revenue because we had two sources of revenue coming in, so we were making a lot more money than broadcast was making.

Then everybody said, Peacock or streamers at large, were going to completely blow away linear TV. Guess what? We’re all going to still survive it, but differently. And because I’ve been around so long, each decade, something else was surely going to kill something else. There’ll always be something new, always be something threatening it. See what it is, learn about it, understand it, and then try to figure out how the two can co survive while you’re navigating your way to see where it really ends up.

ALISON BEARD: Yeah. So I do want to talk about NBC’s entrance to streaming with Peacock. It’s always difficult with new technology. You don’t want to enter if it’s not going to pan out. You don’t want to be too early, but then you also don’t want to be too late. NBCUniversal did start a bit behind. So how did you approach that challenge as the person who was tasked with creating Peacock?

BONNIE HAMMER: Well, in hindsight, Steve Burke, Brian Roberts were right to wait. However, for the five years leading up to when we started, I and several other senior people, within the NBC family, were pushing them to jump into streaming. “We’re late, we’re late, we have to do it. Look what’s going on in the world.” And they kind of listened, but not really, until one day Steve said, “Okay, we’re going to do this, and I want you to lead the charges to at least launch it.” And my reaction to him, other than me being one of several who were pushing it was, “Why me?” I am so not a technological buff. I’m a content creator and yes, I’m a leader, but I was very honest saying, “This isn’t my world.” But I think the honesty was what led him to put me in the position.

Because he knew I knew how to lead, he knew I knew content, and he also knew that I didn’t need to be the smartest one in the room, that I will surround myself with people who knew a lot more than I did, and let them teach me and help me grow a team that can launch it.

ALISON BEARD: Talk me through your process for making important decisions, whether it goes back to green lighting a show or hiring a key producer or making your own career move, like saying, “Sure, I will take on launching the streaming channel.” How do you weigh the pros and cons or consider information versus instinct?

BONNIE HAMMER: This has grown over time, and the easiest way for me to describe it is the ABCs all the way to G, of gut. I’ll start with A. Analyze. What are you trying to do, where are you trying to get to, whether it’s a show or a career decision or anything else. And really take the time to figure out what it is you want and why. B is brainstorming, which is my favorite thing because it’s collaborative. Get a bunch of people together and talk about it. What we always did with every single show before we greenlit it, I had every one of my senior people, even people who had nothing to do with creative, sit in a room, read the script before they came in, and we would brainstorm the good, the bad, what we liked, what we didn’t like, et cetera, to just see where people are coming out.

Then C, compare. What are you trying to do versus what has happened before, either in your life or other shows that were on other networks or other streamers before? Did it work? Why did it work? If it didn’t work, why did it fail? D, which I love as well, find a devil’s advocate. It is what most people do not do, because most people don’t want to hear negative stuff. Find somebody who is going to pick apart whatever you are choosing to do, just to see where the holes are. It’s not so they can talk you out of it, it’s so at least they’re going to give you a side of whatever you’re deciding that might not be in your language at that point or might not be in your mind. E, it’s just the effort that you put into what it is and finding the experts that are in that world.

So you know what the red lights, green lights are in that decision. Someone who already has a job, someone who’s already produced a show, somebody who is an expert in directing visual effects that you haven’t done.

F, simple, the facts. You actually have to know the facts of what you’re doing, compared to what has come before. And then G is gut. Trust your gut, especially when you’ve been in that world before, done what you’ve done before. So for me it’s using the two brains, the brain in your head and the brain in your stomach. And when together, you may not be guaranteed success, but you’re definitely going to limit failure.

ALISON BEARD: So it sounds like also that gut instinct, even if you’re operating in a completely new environment, there are parts of your experience in different realms that will inform it in a really positive way.

BONNIE HAMMER: Absolutely. I have one – once we were trying to do a show called Political Animals, which everybody on the team was absolutely positive was going to be huge success. It had Sigourney Weaver and Ellen Burstyn. We had a great producer, we had a great director. We did none of the ABCs of gut checking other than check our gut. When we got the ratings, we were absolutely shocked because it did worse than any other show we had ever, ever done before.

And the first thing I had to do, I owned the failure. Wrote a note to my boss, before the ratings were public, said, “We are devastated. We have no idea how or why this happened. We’re going to figure out what went wrong, but I just want to let you know before the ratings come in officially, we blew it, just totally blew it.”

The other instance was a show where we all knew, my entire team, the script did not fit USA Network. It was a little too dark, actor wasn’t really known, but he was interesting and quirky. Nothing about it fit what we wanted to do in USA, but the director, writer, we thought, was exceptional. The character involved was fabulous.

And we made the decision consciously that nothing about this should fit on USA, but it is too good for any other network to get it. And we decided we are willing to take a calculated risk and do this. And what happened was, this is Mr. Robot, which did incredibly well, was a huge success for USA. The conscious calculated risk worked out. And we were willing to fail if we had to because we knew all the ABCs, all the way through gut, of making that decision and we were willing to fail. There were no surprises there.

ALISON BEARD: And so the contrast with Political Animals is that you didn’t do A through F, you just did G.

BONNIE HAMMER: Correct.

ALISON BEARD: You are this person who’s risen to the very top of your industry, and that meant that you went from managing small teams to huge ones, like more than 2000 people. So how did you figure out that transition? You seem like you rely very much on interpersonal connection, collaboration, team culture. How do you maintain all of that as your span of power increases, and make all of those people, who you’re managing, feel as comfortable as you are in managing change in a really difficult dynamic industry?

BONNIE HAMMER: Well, first you have to maintain the values you had when you were leading a smaller group, meaning collaboration, caring, empathy, creating a high bar for success, but having really good communication in that process. So it’s knowing what your brand or your culture is for managing your team, then teaching that to all your direct reports so they can push it down. There has to be consistency and an understanding. Some of the ways I helped do that – once I got into larger teams and multiple channels that I was managing, I would do what I called Breakfast with Bonnie. And those breakfasts would be once a month with probably about 20 in each breakfast, from executive assistants to directors. And we would sit in a room, I would do a very fun, easy open, I would talk about at the moment what was going on, what was succeeding, what was not succeeding within our own world.

And then I would open it up to questions, and I would literally say to people, “This room is Vegas. Whatever happens here stays here. Nothing is going to go up to your direct boss or up to anybody higher in my room. I need to understand what’s working and what’s not working in our division. And I know you guys are truth tellers, so tell me what’s happening, what’s working, what’s not. What messages are you getting? Do you feel comfortable? Do you feel like you’re growing?” I wanted to hear the truth. And eventually somebody would raise their hand and open up and tell me the truth of a problem that existed or an attitude, or something that wasn’t happening that should happen. And I would learn about what’s happening at the more junior levels so I could fix it, or at least I’d be aware of it.

Because it wasn’t bubbling up to my level, I didn’t know about it. And I got to know a whole lot of people on the lower levels. And because I went through every single level getting to where I am, I appreciated everything that other people do on the lower levels that most people don’t get are so important to the product. So I did that for years and it worked incredibly well. So you have to articulate your values, people have to understand your culture, and you have to push those values down, all the way to the entry-level people as well. When you do that, people stay within that culture, and want to stay and grow within your world for a long time.

ALISON BEARD: So it sounds like you’re willing to hire people who have different leadership styles than you. What specifically do you look for to make sure that they’re going to be the people who approach challenges the way you do?

BONNIE HAMMER: Well, I think often people hire people because of skillset, or in the early stages, because of degrees or the school they went to. Yes, skillset is important, basic smarts, intelligence, but for me it’s a quality of a person. When they come in, are they willing to listen or are they just going to babble about themselves? Do they give other people credit in the conversation you have with them or do they take credit for themselves? I look for tone. I look for somebody who has some grace. I look for someone who I think can be trusted as a team member who’s willing to collaborate. So listening rather than talking, asking smart questions that shows they want to learn, all for me go way above any kind of degree or skillset experience.

ALISON BEARD: Yeah. And when you have team members that you don’t see embracing change in the way you want them to, how do you give them critical feedback? What’s the key to doing that well?

BONNIE HAMMER: Well, I think first and foremost, you have to give that feedback. And I think oftentimes, in the workplace, people watch, they judge, but don’t necessarily have real conversations with those that work with and for them. And they may wait for the end of year review, but I don’t think that’s enough. You have to have the tough conversations with people who you think have the possibility to grow. And even those you might not think can grow, but you should give them another try to see, to let them know what’s going on or not going on. Ask them how are they doing? How do you think you’re doing here and why? And then tell them, “Well me tell you how I see it, and I just want to help you learn and help you grow.” I don’t believe people can grow without a little tough love and being told the truth, but it should come in a helpful, useful, positively tonal way.

ALISON BEARD: I feel like one real struggle for managers now is working with people who are very, very good at what they currently do, but need to learn something new. For example, it’s me, I’m an excellent editor, I’m a great podcast host, hopefully, and I need to learn GenAI. I need to learn these new technologies, but it’s easy for me to rest on my laurels. So how do you push those people who are great performers, to do more and challenge themselves?

BONNIE HAMMER: Well, first and foremost, I always look for those people who will raise their hands and say, “I want to learn. I don’t know anything about AI yet, and what’s the best way to do it?” It starts with a conversation that says, “You’re doing amazingly well. Everything I ask you to do, within your skillset, your task, your title, is great, but the world is changing. And I think for you to grow, and I think for you to have a runway within this world, this company, this skillset, you’ve got to start reaching a little out of your comfort zone. And here’s several ways in which you could do it.

It’s basically approaching that individual in a way that, again, doesn’t sound like, “Oh my God, I’m going to lose my job if I don’t learn this skillset,” but in a way that is offering them the possibility. And if they jump at it, fabulous. If they don’t, you can still give them a little nudge, but if they really don’t take you up on it, then as a leader, as a boss, you have to realize what their limitation is.

ALISON BEARD: I just want to say for the record, I attended a large language model lunch and learn this week, and I also went to a conference where I learned about all of these AI tools. So I’m trying. What advice do you give young people who want careers in media or any other really fast-changing industry today?

BONNIE HAMMER: My advice is to understand that you have to work at your worth to get what you want. That in order to stand out, you have to be seen, which means coming in early, raising your hands for opportunities, staying late, not seeing anything beneath you, particularly in the first few years during those learning years –

ALISON BEARD: Yeah. A reminder that Bonnie Hammer picked up dog poo in her first job.

BONNIE HAMMER: Yeah. Yes. Did I complain to my friends and family? Of course I did, but when I showed up on the set, I did it with a smile, and anything they asked me, to run out for three lattes, I did it knowing that if I was optimistic, if I was positive, they would want to have me around. And if you are positive, people are going to want you continue to have you around. Then you have to perform. If you’re asked to do something, do it. Do your homework, do it well. If you’re going to miss a deadline, don’t BS about it. Basically say, “I’m not going to have it in on time. This is the reason. I’ll definitely have it for you by,” give a date.

People have to trust you, and then you have to master the skill set, whatever it is. Then raise your hand to learn as much as you can for opportunities outside of your skill set, even if you’re not going to get extra pay for it, because that too will show people you have the energy, the eagerness, the desire to learn more. Make sure that you don’t go into a situation pretending that you know what you can do if you can’t do it. Ask questions. Learn. Show people what you know and tell them what you don’t. It’s very hard to win back trust, but it’s very easy to empower others to want to help you and teach you. I think it’s important to remain humble, have humility, even along with confidence. You don’t need entitlement and arrogance. That makes a huge difference in the middle part of your career in terms of how you navigate it.

And once you get a little bit more senior, then it really is the ABCs of gut in terms of how you grow, and learning how… Winning is wonderful, but you also have to learn how to lose, learn from losing, so that you can move forward and understand all that is, is a learning experience. It was an obstacle, but it’s not a stop sign. It’s not a dead end. Use it to challenge yourself to find a way to win in a different way. And then ultimately, it’s just embracing change. Because it’s going to come for you no matter what you do. So learn how to run towards it and embrace it.

ALISON BEARD: Well, Bonnie, that’s such great advice. So many pearls of wisdom in this conversation and in the book. I really appreciate you coming on the show.

BONNIE HAMMER: Alison. Thank you for having me. I always enjoy talking with you.

HANNAH BATES: That was NBC Universal Vice Chairman Bonnie Hammer, in conversation with Alison Beard on HBR IdeaCast. Hammer is also the author of the book 15 Lies Women are Told About Work: …and the Truth We Need to Succeed.

We’ll be back next Wednesday with another hand-picked conversation about leadership from Harvard Business Review. If you found wthis episode helpful, share it with your friends and colleagues, and follow our show on Apple Podcasts, Spotify, or wherever you get your podcasts. While you’re there, be sure to leave us a review.

When you’re ready for more podcasts, articles, case studies, books, and videos with the world’s top business and management experts, find it all at HBR.org.

This episode was produced by Mary Dooe and Me, Hannah Bates. Curt Nickisch is our editor. Music by Coma Media. Special thanks to Maureen Hoch, Rob Eckhardt, Erica Truxler, Ramsey Khabbaz, Nicole Smith, Anne Bartholomew, and you – our listener. See you next week.



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Artificial Intelligence and Criminal Exploitation: A New Era of Risk

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WASHINGTON, D.C. – The House Judiciary Subcommittee on Crime and Federal Government Surveillance will hold a hearing on Wednesday, July 16, 2025, at 10:00 a.m. ET. The hearing, “Artificial Intelligence and Criminal Exploitation: A New Era of Risk,” will examine the growing threat of Artificial Intelligence (AI)-enabled crime, including how criminals are leveraging AI to conduct fraud, identity theft, child exploitation, and other illicit activities. It will also explore the capabilities and limitations of law enforcement in addressing these evolving threats, as well as potential legislative and policy responses to ensure public safety in the age of AI.

WITNESSES

  • LTC Andrew Bowne, Former Counsel, Department of the Air Force Artificial Intelligence Accelerator at the Massachusetts Institute of Technology
  • Ari Redbord, Global Head of Policy, TRM Labs;  former Assistant United States Attorney
  • Zara Perumal, Co-Founder, Overwatch Data; former member, Threat Analysis Department, Google



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AI shapes autonomous underwater “gliders” | MIT News

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Marine scientists have long marveled at how animals like fish and seals swim so efficiently despite having different shapes. Their bodies are optimized for efficient, hydrodynamic aquatic navigation so they can exert minimal energy when traveling long distances.

Autonomous vehicles can drift through the ocean in a similar way, collecting data about vast underwater environments. However, the shapes of these gliding machines are less diverse than what we find in marine life — go-to designs often resemble tubes or torpedoes, since they’re fairly hydrodynamic as well. Plus, testing new builds requires lots of real-world trial-and-error.

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the University of Wisconsin at Madison propose that AI could help us explore uncharted glider designs more conveniently. Their method uses machine learning to test different 3D designs in a physics simulator, then molds them into more hydrodynamic shapes. The resulting model can be fabricated via a 3D printer using significantly less energy than hand-made ones.

The MIT scientists say that this design pipeline could create new, more efficient machines that help oceanographers measure water temperature and salt levels, gather more detailed insights about currents, and monitor the impacts of climate change. The team demonstrated this potential by producing two gliders roughly the size of a boogie board: a two-winged machine resembling an airplane, and a unique, four-winged object resembling a flat fish with four fins.

Peter Yichen Chen, MIT CSAIL postdoc and co-lead researcher on the project, notes that these designs are just a few of the novel shapes his team’s approach can generate. “We’ve developed a semi-automated process that can help us test unconventional designs that would be very taxing for humans to design,” he says. “This level of shape diversity hasn’t been explored previously, so most of these designs haven’t been tested in the real world.”

But how did AI come up with these ideas in the first place? First, the researchers found 3D models of over 20 conventional sea exploration shapes, such as submarines, whales, manta rays, and sharks. Then, they enclosed these models in “deformation cages” that map out different articulation points that the researchers pulled around to create new shapes.

The CSAIL-led team built a dataset of conventional and deformed shapes before simulating how they would perform at different “angles-of-attack” — the direction a vessel will tilt as it glides through the water. For example, a swimmer may want to dive at a -30 degree angle to retrieve an item from a pool.

These diverse shapes and angles of attack were then used as inputs for a neural network that essentially anticipates how efficiently a glider shape will perform at particular angles and optimizes it as needed.

Giving gliding robots a lift

The team’s neural network simulates how a particular glider would react to underwater physics, aiming to capture how it moves forward and the force that drags against it. The goal: find the best lift-to-drag ratio, representing how much the glider is being held up compared to how much it’s being held back. The higher the ratio, the more efficiently the vehicle travels; the lower it is, the more the glider will slow down during its voyage.

Lift-to-drag ratios are key for flying planes: At takeoff, you want to maximize lift to ensure it can glide well against wind currents, and when landing, you need sufficient force to drag it to a full stop.

Niklas Hagemann, an MIT graduate student in architecture and CSAIL affiliate, notes that this ratio is just as useful if you want a similar gliding motion in the ocean.

“Our pipeline modifies glider shapes to find the best lift-to-drag ratio, optimizing its performance underwater,” says Hagemann, who is also a co-lead author on a paper that was presented at the International Conference on Robotics and Automation in June. “You can then export the top-performing designs so they can be 3D-printed.”

Going for a quick glide

While their AI pipeline seemed realistic, the researchers needed to ensure its predictions about glider performance were accurate by experimenting in more lifelike environments.

They first fabricated their two-wing design as a scaled-down vehicle resembling a paper airplane. This glider was taken to MIT’s Wright Brothers Wind Tunnel, an indoor space with fans that simulate wind flow. Placed at different angles, the glider’s predicted lift-to-drag ratio was only about 5 percent higher on average than the ones recorded in the wind experiments — a small difference between simulation and reality.

A digital evaluation involving a visual, more complex physics simulator also supported the notion that the AI pipeline made fairly accurate predictions about how the gliders would move. It visualized how these machines would descend in 3D.

To truly evaluate these gliders in the real world, though, the team needed to see how their devices would fare underwater. They printed two designs that performed the best at specific points-of-attack for this test: a jet-like device at 9 degrees and the four-wing vehicle at 30 degrees.

Both shapes were fabricated in a 3D printer as hollow shells with small holes that flood when fully submerged. This lightweight design makes the vehicle easier to handle outside of the water and requires less material to be fabricated. The researchers placed a tube-like device inside these shell coverings, which housed a range of hardware, including a pump to change the glider’s buoyancy, a mass shifter (a device that controls the machine’s angle-of-attack), and electronic components.

Each design outperformed a handmade torpedo-shaped glider by moving more efficiently across a pool. With higher lift-to-drag ratios than their counterpart, both AI-driven machines exerted less energy, similar to the effortless ways marine animals navigate the oceans.

As much as the project is an encouraging step forward for glider design, the researchers are looking to narrow the gap between simulation and real-world performance. They are also hoping to develop machines that can react to sudden changes in currents, making the gliders more adaptable to seas and oceans.

Chen adds that the team is looking to explore new types of shapes, particularly thinner glider designs. They intend to make their framework faster, perhaps bolstering it with new features that enable more customization, maneuverability, or even the creation of miniature vehicles.

Chen and Hagemann co-led research on this project with OpenAI researcher Pingchuan Ma SM ’23, PhD ’25. They authored the paper with Wei Wang, a University of Wisconsin at Madison assistant professor and recent CSAIL postdoc; John Romanishin ’12, SM ’18, PhD ’23; and two MIT professors and CSAIL members: lab director Daniela Rus and senior author Wojciech Matusik. Their work was supported, in part, by a Defense Advanced Research Projects Agency (DARPA) grant and the MIT-GIST Program.



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Global Artificial Intelligence (AI) in Clinical Trials Market

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According to DelveInsight’s analysis, The demand for Artificial Intelligence in clinical trials is experiencing strong growth, primarily driven by the rising global prevalence of chronic conditions like diabetes, cardiovascular diseases, respiratory illnesses, and cancer. This growth is further supported by increased investments and funding dedicated to advancing drug discovery and development efforts. Additionally, the growing number of strategic collaborations and partnerships among pharmaceutical, biotechnology, and medical device companies is significantly boosting the adoption of AI-driven solutions in clinical trials. Together, these factors are anticipated to fuel the expansion of the AI in the clinical trials market during the forecast period from 2025 to 2032.

DelveInsight’s “Artificial Intelligence (AI) in Clinical Trials Market Insights, Competitive Landscape and Market Forecast-2032” report provides the current and forecast market outlook, forthcoming device innovation, challenges, market drivers and barriers. The report also covers the major emerging products and key Artificial Intelligence (AI) in Clinical Trials companies actively working in the market.

To know more about why North America is leading the market growth in the Artificial Intelligence (AI) in Clinical Trials market, get a snapshot of the report Artificial Intelligence (AI) in Clinical Trials Market Trends

https://www.delveinsight.com/sample-request/ai-in-clinical-trials-market?utm_source=openpr&utm_medium=pressrelease&utm_campaign=gpr

Artificial Intelligence (AI) in Clinical Trials Overview

Artificial Intelligence (AI) in clinical trials refers to the use of advanced machine learning algorithms and data analytics to streamline and improve various aspects of clinical research. AI enhances trial design, patient recruitment, site selection, and data analysis by identifying patterns and predicting outcomes. It enables faster patient matching, optimizes protocol design, reduces trial timelines, and improves data quality and monitoring. AI also helps in real-time adverse event detection and adaptive trial management, making clinical trials more efficient, cost-effective, and patient-centric.

DelveInsight Analysis: The global Artificial Intelligence in clinical trials market size was valued at USD 1,350.79 million in 2024 and is projected to expand at a CAGR of 12.04% during 2025-2032, reaching approximately USD 3,334.47 million by 2032.

Artificial Intelligence (AI) in Clinical Trials Market Insights

Geographically, North America is expected to lead the AI in the clinical trial market in 2024, driven by several critical factors. The region’s growing burden of chronic diseases, substantial investments in R&D, and the rising volume of clinical trials contribute significantly to this dominance. Additionally, an increasing number of collaborations and partnerships among pharmaceutical and medical device companies, along with the advancement of sophisticated AI solutions, are accelerating market expansion. These developments are enhancing the ability to manage complex clinical trials efficiently, driving the adoption of AI technologies and supporting the market’s growth in North America throughout the forecast period from 2025 to 2032.

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Recent Developments in the Artificial Intelligence (AI) in Clinical Trials Market Report

• In May 2025, Avant Technologies, Inc. (OTCQB: AVAI) and joint venture partner Ainnova Tech, Inc. announced the initiation of acquisition discussions aimed at enhancing their presence in the rapidly growing AI-powered healthcare sector.

• In March 2025, Suvoda introduced Sofia, an AI-driven assistant created to optimize clinical trial management processes. Sofia aids study teams by providing quick access to essential trial data and real-time, intelligent insights. This tool boosts operational efficiency, minimizes manual tasks, and helps teams make faster, data-informed decisions throughout the clinical trial journey.

• In December 2024, ConcertAI and NeoGenomics unveiled CTO-H, an advanced AI-powered software platform designed to enhance research analytics, clinical trial design, and operational efficiency. CTO-H provides an extensive research data ecosystem, offering comprehensive longitudinal patient data, deep biomarker insights, and scalable analytics to support more precise, efficient, and data-driven clinical development processes.

• In June 2024, Lokavant introduced SpectrumTM, the first AI-powered clinical trial feasibility solution aimed at enhancing trial performance throughout the clinical development process. Spectrum enables study teams to forecast, control, and improve trial timelines and expenses in real-time.

• Thus, owing to such developments in the market, rapid growth will be observed in the Artificial Intelligence (AI) in Clinical Trials market during the forecast period

Key Players in the Artificial Intelligence (AI) in Clinical Trials Market

Some of the key market players operating in the Artificial Intelligence (AI) in Clinical Trials market include- TEMPUS, NetraMark, ConcertAI, AiCure, Medpace, Inc., ICON plc, Charles River Laboratories, Dassault Systèmes, Oracle, Certara, Cytel Inc., Phesi, DeepHealth, Unlearn.ai, Inc., H1, TrialX, Suvoda LLC, Risklick, Lokavant, Research Solutions, and others.

Which MedTech key players in the Artificial Intelligence (AI) in Clinical Trials market are set to emerge as the trendsetter explore @ Key Artificial Intelligence (AI) in Clinical Trials Companies

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Analysis on the Artificial Intelligence (AI) in Clinical Trials Market Landscape

To meet the growing needs of clinical trials, leading companies in the AI in Clinical Trials market are creating advanced AI solutions aimed at improving trial efficiency, optimizing patient recruitment, and enhancing clinical trial design at investigator sites. For example, in April 2023, ConcertAI introduced CTO 2.0, a clinical trial optimization platform that utilizes publicly available data and partner insights to deliver comprehensive site and physician-level trial data. This tool provides key operational metrics and site profiles to evaluate trial performance and site capabilities. Additionally, CTO 2.0 assists sponsors in complying with FDA requirements for inclusive trial outcomes, promoting a shift toward community-based trials with more streamlined and patient-centric designs.

As a result of these advancements, the software segment is projected to experience significant growth throughout the forecast period, contributing to the overall expansion of the AI in the clinical trials market.

Scope of the Artificial Intelligence (AI) in Clinical Trials Market Report

• Coverage: Global

• Study Period: 2022-2032

• Artificial Intelligence (AI) in Clinical Trials Market Segmentation By Product Type: Software and Services

• Artificial Intelligence (AI) in Clinical Trials Market Segmentation By Technology Type: Machine Learning (ML), Natural Language Processing (NLP), and Others

• Artificial Intelligence (AI) in Clinical Trials Market Segmentation By Application Type: Clinical Trial Design & Optimization, Patient Identification & Recruitment, Site Identification & Trial Monitoring, and Others

• Artificial Intelligence (AI) in Clinical Trials Market Segmentation By Therapeutic Area: Oncology, Cardiology, Neurology, Infectious Disease, Immunology, and Others

• Artificial Intelligence (AI) in Clinical Trials Market Segmentation By End-User: Pharmaceutical & Biotechnology Companies and Medical Device Companies

• Artificial Intelligence (AI) in Clinical Trials Market Segmentation By Geography: North America, Europe, Asia-Pacific, and Rest of the World

• Key Artificial Intelligence (AI) in Clinical Trials Companies: TEMPUS, NetraMark, ConcertAI, AiCure, Medpace, Inc., ICON plc, Charles River Laboratories, Dassault Systèmes, Oracle, Certara, Cytel Inc., Phesi, DeepHealth, Unlearn.ai, Inc., H1, TrialX, Suvoda LLC, Risklick, Lokavant, Research Solutions, and others

• Porter’s Five Forces Analysis, Product Profiles, Case Studies, KOL’s Views, Analyst’s View

Interested in knowing how the Artificial Intelligence (AI) in Clinical Trials market will grow by 2032? Click to get a snapshot of the Artificial Intelligence (AI) in Clinical Trials Market Analysis

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Table of Contents

1 Artificial Intelligence (AI) in Clinical Trials Market Report Introduction

2 Artificial Intelligence (AI) in Clinical Trials Market Executive summary

3 Regulatory and Patent Analysis

4 Artificial Intelligence (AI) in Clinical Trials Market Key Factors Analysis

5 Porter’s Five Forces Analysis

6 COVID-19 Impact Analysis on Artificial Intelligence (AI) in Clinical Trials Market

7 Artificial Intelligence (AI) in Clinical Trials Market Layout

8 Global Company Share Analysis – Key Artificial Intelligence (AI) in Clinical Trials Companies

9 Company and Product Profiles

10 Project Approach

11 Artificial Intelligence (AI) in Clinical Trials Market Drivers

12 Artificial Intelligence (AI) in Clinical Trials Market Barriers

13 About DelveInsight

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