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‘Smart Businesses Are Going to Maintain Flexibility’

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ADI IGNATIUS: I’m Adi Ignatius.

ALISON BEARD: I’m Alison Beard, and this is the HBR IdeaCast.

ADI IGNATIUS: Alison, I know we talk a lot about how difficult it is these days to be a business leader, and I’m interested: in your conversations, what do you think is top of mind for business executives who are trying to manage these very uncertain times?

ALISON BEARD: That is a good question because there are so many different things right now. I would certainly say shifting economic policies, artificial intelligence has to be incredibly high on the list – how to harness GenAI and agentic AI for the best use, and not be disrupted by it. And then geopolitical instability in Europe and the Middle East. I think there are plenty of things to keep CEOs up at night right now.

ADI IGNATIUS: Yeah, so it feels like an unprecedented level of uncertainty. At the same time, there’s a playbook for uncertainty and there are people who have something to say about how to manage a company when things are as uncertain as they are in all the areas you talked about.

So today’s guest is somebody who I think can really talk at all levels, about how to think through all these challenging issues, but also how to cope, how to manage the uncertainty in your own company. And that is that is Larry Summers, former treasury secretary, former president of Harvard University, and an economist who is just generally well-respected.

ALISON BEARD: He’s certainly someone that can connect all those dots I just talked about. He’s also currently on the board of OpenAI, so I’m very interested to hear what advice he has.

ADI IGNATIUS: You know, businesses can’t wait for these things to be resolved. Many of them will never be resolved. So I think there’s some insights here into how to move forward, how to take action. I spoke to him as part of our new HBR Executive Live series, and we decided to open this one up to the broader IdeaCast audience. So I hope you enjoy it. This is my interview with Larry Summers.

You’re a guy who is much in demand, I would think, particularly in an era where we’re just dealing with what feel like unprecedented levels of uncertainty, unprecedented shocks to the system. And I want to talk about a few of them, but maybe start with tariffs. A couple months ago, tariffs were all we could talk about. There’s been a bit of a lull as the negotiations play out. How do you see things playing out and what should business even be rooting for at this point?

LAWRENCE H. SUMMERS: Look, this is mostly a self-inflicted wound to the American economy. It simultaneously raises prices and increases unemployment, and for most industries, reduces competitiveness because it raises the price of inputs. For example, 60 times as many people work in industries that use steel as work in the steel industry. It’s not surprising that the Fed has done something over the last six months that’s very rare for it, and raised its forecast of inflation, that at the same time it was also raising its forecast of unemployment.

I think it’s pretty clear that these policies are a mistake. They’re not going to make American businesses substantially more competitive in aggregate. They’re unlikely to have a large favorable impact on the trade deficit. They’re going to alienate other countries who are going to, at least some cases, retaliate against the United States, and I think they’re going to be a strategic gift to China. It can’t be the right thing for the United States to do, to be raising tariffs back most of the way to the Smoot-Hawley level. And given the extremity of the statements that were made on “Liberation Day,” that’s about what we are doing.

Now all of that said, I think that businesses are ultimately judged, not on tariffs, but on the products they produce. And there are many products that many American companies produce, for which there has been and will continue to be very strong global demand. So to say that these are unwise policies, is not at all to say that all businesses should hunker down and go into a shell because of these policies.

ADI IGNATIUS: One of the other questions though is, are these even real? I mean, to what extent as America leans forward the threat of high tariff rates, is this a negotiating ploy? Does it fundamentally reset trade? And how is business supposed to deal with that level of uncertainty when it’s not clear? We have to make economic decisions, do we invest, do we change our supply chain? But we’re not really sure where this ends up, this complete lack of certainty.

LAWRENCE H. SUMMERS: Look, I think smart businesses are going to maintain flexibility and have robust strategies that work at least reasonably well in a variety of different environments. In round numbers, tariffs were about one and a half percent on average when the president took office in 2016. During his first term, tariffs went up from one and a half percent to a little bit below 3%. On “Liberation Day,” they were raised up to 28%. And I think most people now expect that they’ll settle at 13 or 14% as an average tariff rate.

So I don’t think there’s any serious question that the United States is engaging and will after all the negotiations have lifted tariffs in a very substantial way. So I think people should just build that into their planning. That said, there’s still going to be substantial doubt depending on what your industry is in, just what rules there will be. There also is uncertainty about what concessions will be extracted from other countries, which for some businesses, will affect export opportunities.

ADI IGNATIUS: Yeah. Well, so that maybe leads to a more short-term question, which is, are we headed toward a recession in 2025? I’d be interested in your response, but also what are the indicators you’re most focused on as you think about that question?

LAWRENCE H. SUMMERS: I think that right now you would say that there was a real risk of recession, but I think you would say that it was less than 50/50. I’d pay a lot of attention to divergences between sentiment measures: business confidence, consumer confidence, and hard data: same store sales, industrial production last month. There has been over the last several months, a divergence with sentiment being substantially negative and the hard data being firmer. I would say the indications most recently are of sentiment getting better, rather than of the hard data deteriorating sharply.

And so my best guess is that you’re not going to see, barring further dramatic events, a substantial turn down in the economy. I am more worried that as the tariffs feed through, which they surely will, that you’ll see some increment to inflation. And given that we’ve just been through a difficult inflationary period, that may translate into higher inflation expectations.

ADI IGNATIUS: So what explains the improvement in sentiment? I’m not sure what that measures exactly, but does that mean there’s less panic about the uncertainty? There’s less concern about how tariffs will ripple through the economy. I mean, what does that mean?

LAWRENCE H. SUMMERS: Adi, I think there were a number of indicators of shoes that could have dropped, that haven’t. A big shoe could have dropped on inflation spiking. A big shoe could have dropped on the bond market sending interest rates to the sky. A big shoe could have dropped on a major air pocket after tariffs were imposed, because people had bought in advance of the tariffs, sort of hoarding ahead of the price increase.

And so when none of those shoes dropped in a huge way, I think people are feeling a bit better. We’re certainly not out of the woods and especially not out of the woods, given that there’s a lot of geopolitical uncertainty and frankly, given that the president’s behavior is somewhat unpredictable. But I think a fair-minded person would have to say you haven’t seen some of the most alarmist scenarios play out. And as they don’t play out, people become a little bit more confident.

ADI IGNATIUS: So on this topic, this is a question from one of our subscribers, Paul. I don’t know where Paul’s writing from, but question, how do you think about the inverted yield curve as a potential recession predictor?

LAWRENCE H. SUMMERS: The yield curves had a pretty good track record, but the yield curve is really a tracker based on the idea that if we have a recession, the Fed cuts rates. And if people think the Fed’s going to cut rates, then maybe that means they’re thinking that there’s going to be a recession and markets are relatively efficient. I think you’ve got some different factors going right now, given that you’ve got a president who’s very worried about the capital inflows associated with the trade deficit, given that the long run fiscal picture appears relatively problematic. It’s a thing that I would pay attention to, but it’s probably not the thing that I would be most focused on.

I don’t think that anybody thinks that the yield curve has a causal impact on the economy turning down. It’s an indicator of what people think the Fed’s going to do, and what people think the Fed’s going to do is with what they think the Fed’s going to be responding to in the economy. But I wouldn’t overplay its prediction power.

ADI IGNATIUS: So you mentioned China earlier, and when you’re talking about shoes that could drop, that could have significant impact on everything we’re talking about. It could be a real rupture, a deeper rupture in the economic relationship that the US has with China. I suppose on the flip side, a shoe that could drop would be a much improved relationship.

In your mind, and I don’t know how much you think about this, is there a plausible deal that the US could do with China, or an understanding we could reach with China that would be meaningful to both sides?

LAWRENCE H. SUMMERS: I think it’s going to be pretty difficult, given the degree of distrust on both sides. But if there was a sense that they were not going to use rare earths as a tool of course, of diplomacy, vis-a-vis us, and that we were not going to restrict the flow of chips and other technologies to them beyond the stuff that was most specifically targeted on national security, I think that would probably be a constructive agreement that would help to rebuild trust to some degree. So I think that this isn’t a matter of having one mega agreement and then it’s all better. It’s a matter of having a series of trust building, bits of cooperation that work out to be mutually beneficial and that are then built upon.

ADI IGNATIUS: You know, you’ve been critical of the Trump administration. And on the flip side, I was talking to a Silicon Valley CEO the other day who said in his view, his circle, he said, “You have to understand this group was sort of deep blue, politically, liberal, pro-democratic politically, and they sort of flipped to deep red. Really making the case that the Democrats lost business through perceived excessive regulation, other restraints.

I have a couple of questions here, but is anyone articulating in appealing economic middle ground that isn’t trade war, tariffs everywhere, but isn’t a kind of high regulation approach that caused that flip for a lot of business people?

LAWRENCE H. SUMMERS: There have been a number of ideas that have been put forward. I think a phrase that’s been used a lot after a book by Ezra Klein and Derek Thompson, is the Abundance agenda. I think that anybody sensible should think in addition to allocating money to infrastructure, we just need to figure out as a country how to get it done faster and more efficiently.

I like to tell the story of the bridge from Harvard Square across the Charles River to the Harvard Business School, that bridge is 362 feet long. It had a lane of traffic closed for 62 months, that’s 50% longer than it took the United States to win World War II, just to fix a bridge. And I did some research on it. There’s a bridge across the Rhine. The Rhine isn’t 362 feet across. It’s 3,600 feet across, and Patton built a bridge across it from nothing in one day. And perhaps even more striking, Julius Caesar, who didn’t have any of the modern tools that we have today, built a bridge across that 3,600 feet in nine days, and yet it takes contemporary America 62 months.

That’s not an isolated example. The Second Avenue Subway in New York cost about 12 times as much as a comparable length subway put in two countries that we don’t usually think of as paragons of efficiency, Paris, France and Ankara, Turkey. –

So I think there’s a lot that we need to do to loosen things up. I think it’s very important not to practice the politics of envy. Yes, everybody should pay their fair share and the fair share of people who’ve been more fortunate should be higher than the fair share of people who’ve been less fortunate. But that’s not to say that there’s something evil about being rich or that our goals should be for everybody to earn the same income. I like to ask people the question, would America be a better country if there were more success stories like Bill Gates and Steve Jobs and Jeff Bezos, or would it be less successful?

I think it’s pretty clear that it would be more successful. It’d be better. There’d be more jobs for workers. There’d be better opportunities for consumers. America would be standing taller in the world. But it is true that if we had more great entrepreneurs, we’d have more great fortunes. I think that is fine. But I think when too many in the Democratic Party treated any huge success as ground for protest. So I think it’s very important to recognize that there can’t be employees without employers, and therefore for those of us who are progressive, to maintain a pro-responsible business sensibility.

And I certainly do think there have been moments when the Democratic Party lost sight of that, and put an overwhelming emphasis on values associated with culture and identity politics, or put great emphasis on tearing down the rich rather than on building up the middle class.

ADI IGNATIUS: Okay. So let’s talk about labor then more directly. And this is a question from Maureen from somewhere or another. What is your view, let’s say on the US labor market, what should employers in particular be watching most closely as they think about the labor input?

LAWRENCE H. SUMMERS: I think we have done poorly as a country with the half of our population, probably the 60% of our male population that really isn’t oriented to going to college. And that wants to participate in a variety of kind of trade activities, often providing services that are in extremely short supply. I think our institutions and our educational system has been shaped somewhat more by the Harvards and by the institutions that want to emulate the Harvards, and I’m not sure that they are appropriately attentive to the needs of many, many of our people who want to learn a set of skills for which they can be rewarded in a substantial and secure way.

So I think that our educational system, particularly with a view to those going into non-academic paths, is something that deserves a great deal of attention. I think we need to find models of more cooperative unionism. I think we’ve had some serious issues in our country, where without unions, labor frankly has been exploited excessively for the benefit of capitalists. But we also have situations as in the education sector. And as years ago was the case in the automobile sector, where strong unions made it very, very difficult for enterprises to produce as productively as they otherwise could.

ADI IGNATIUS: I’m interested, I guess, in your experience in talking to business leaders, I assume you’re talking to a lot of them right now. We launched this whole thing, HBR Executive because we felt that we’re leaning into a moment of real uncertainty. And I think it comes from two main areas. I think artificial intelligence, which is likely to remake most of our businesses, but we’re not sure when and to what extent. And then the political and geopolitical uncertainty. So I guess I’m interested, when you talk to business leaders, are those the issues they’re most concerned about or is it something else that we need to pay attention to?

LAWRENCE H. SUMMERS: I think that it’s very often that… In general, it was my experience when I worked in Washington, that if I got to know a business leader too well, it would probably be a good time to short the company. That there are a lot of business leaders who… And some of this is clearly important and the right thing to do, involve themselves extensively in public policy. That’s right, and it can be very important for business, but it’s also very important to produce a good product efficiently.

I always think of a quintessentially cautionary tale for business leaders. In the early 90s, the CEO of Kodak spent a great deal of time in Washington, pushing the US government to pursue various kinds of antitrust and competition policy related actions, directed at opening up the market in Japan for Kodak to compete with Fujifilm. And certainly some of the arguments being made were legitimate. I don’t think Kodak was being treated fully fairly in Japan. But I can’t help but wonder whether it would’ve been a much better use of that CEO’s time, to focus on the overwhelming strength that Kodak had in digital photography patents, strength that it never successfully exploited.

And so I would urge business leaders in general, in any environment and certainly in this one, to focus on what is the distinctive strength that my business has. And in a world where there’s going to be more and more division of labor, how can we focus the most on that distinctive strength so as to deliver value for all our different constituencies.

ADI IGNATIUS: Let’s talk more about AI specifically. We all have an opinion. We all probably have a strong opinion on AI and what it’s going to do. I interviewed one of your colleagues, Karim Lakhani from Harvard Business School, who’s an expert on AI in the workforce. And his view is that AI is not being over hyped, probably the opposite. That CEOs talk a lot about it, they talk to their boards about it, they talk to their shareholders about it, they don’t really know what’s going on. They’re not getting their hands dirty, they don’t understand the revolution that is taking place. I’m interested in your view, you probably have a view, you’re probably talking to experts as well. Do you see AI, GenAI as kind of fundamentally reshaping the economy, or are you more cautious about that?

LAWRENCE H. SUMMERS: I think there’s a better than even chance that this is the most important technical change, or the most important change in technology in my lifetime. That it’s going to change more about the way people live and the way people work, than anything else that has happened during my adult lifetime. I think it’s very hard to know exactly what the timeframe will be. I think it’s very hard to know exactly what the changes will be.

But we haven’t had a technology that is self-improving before, ever. PCs don’t make new, better PCs, but AI models have the capacity to what one might call the recursive aspect, to figure out how to be self-improving. In the same way that human societies acting together have the way to be self-improving. And so I think that capacity for self-improvement is something that’s very fundamental. Now how much it’s going to change in terms of regular day-to-day business interactions, in what timeframe? I think that’s a much more difficult thing to judge, and I think that it is often the case in these things that it’s not best to be a first mover. It’s best to hang back a little bit and see what works and see what doesn’t, before making large CapEx commitments. But I think ultimately, this is going to be a pretty big deal.

ADI IGNATIUS: Larry, I want to thank you. This has been an amazing conversation. Thank you very much for being with us.

LAWRENCE H. SUMMERS: Thank you.

ADI IGNATIUS: That was former Treasury Secretary Larry Summers. He spoke to me as part of our HBR Executive package for senior organizational leaders. You can learn more at HBR.org/executive.

Next week Alison will talk about how to build your own AI assistant, in a conversation with Alexandra Samuel. We now have more than a thousand IdeaCast episodes, plus many more HBR podcasts to help you manage your team, your organization, and your career. Find them at hbr.org/podcasts or search HBR in Apple Podcasts, Spotify, or wherever you listen.

Thanks to our team, senior producer Mary Dew, associate producer Hannah Bates, audio product manager Ian Fox, and senior production specialist Rob Eckhardt. And thanks to you for listening to the HBR IdeaCast. We will be back with a new episode on Tuesday. I’m Adi Ignatius.



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Intro robotics students build AI-powered robot dogs from scratch

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Equipped with a starter robot hardware kit and cutting-edge lessons in artificial intelligence, students in CS 123: A Hands-On Introduction to Building AI-Enabled Robots are mastering the full spectrum of robotics – from motor control to machine learning. Now in its third year, the course has students build and enhance an adorable quadruped robot, Pupper, programming it to walk, navigate, respond to human commands, and perform a specialized task that they showcase in their final presentations.

The course, which evolved from an independent study project led by Stanford’s robotics club, is now taught by Karen Liu, professor of computer science in the School of Engineering, in addition to Jie Tan from Google DeepMind and Stuart Bowers from Apple and Hands-On Robotics. Throughout the 10-week course, students delve into core robotics concepts, such as movement and motor control, while connecting them to advanced AI topics.

“We believe that the best way to help and inspire students to become robotics experts is to have them build a robot from scratch,” Liu said. “That’s why we use this specific quadruped design. It’s the perfect introductory platform for beginners to dive into robotics, yet powerful enough to support the development of cutting-edge AI algorithms.”

What makes the course especially approachable is its low barrier to entry – students need only basic programming skills to get started. From there, the students build up the knowledge and confidence to tackle complex robotics and AI challenges.

Robot creation goes mainstream

Pupper evolved from Doggo, built by the Stanford Student Robotics club to offer people a way to create and design a four-legged robot on a budget. When the team saw the cute quadruped’s potential to make robotics both approachable and fun, they pitched the idea to Bowers, hoping to turn their passion project into a hands-on course for future roboticists.

“We wanted students who were still early enough in their education to explore and experience what we felt like the future of AI robotics was going to be,” Bowers said.

This current version of Pupper is more powerful and refined than its predecessors. It’s also irresistibly adorable and easier than ever for students to build and interact with.

“We’ve come a long way in making the hardware better and more capable,” said Ankush Kundan Dhawan, one of the first students to take the Pupper course in the fall of 2021 before becoming its head teaching assistant. “What really stuck with me was the passion that instructors had to help students get hands-on with real robots. That kind of dedication is very powerful.”

Code come to life

Building a Pupper from a starter hardware kit blends different types of engineering, including electrical work, hardware construction, coding, and machine learning. Some students even produced custom parts for their final Pupper projects. The course pairs weekly lectures with hands-on labs. Lab titles like Wiggle Your Big Toe and Do What I Say keep things playful while building real skills.

CS 123 students ready to show off their Pupper’s tricks. | Harry Gregory

Over the initial five weeks, students are taught the basics of robotics, including how motors work and how robots can move. In the next phase of the course, students add a layer of sophistication with AI. Using neural networks to improve how the robot walks, sees, and responds to the environment, they get a glimpse of state-of-the-art robotics in action. Many students also use AI in other ways for their final projects.

“We want them to actually train a neural network and control it,” Bowers said. “We want to see this code come to life.”

By the end of the quarter this spring, students were ready for their capstone project, called the “Dog and Pony Show,” where guests from NVIDIA and Google were present. Six teams had Pupper perform creative tasks – including navigating a maze and fighting a (pretend) fire with a water pick – surrounded by the best minds in the industry.

“At this point, students know all the essential foundations – locomotion, computer vision, language – and they can start combining them and developing state-of-the-art physical intelligence on Pupper,” Liu said.

“This course gives them an overview of all the key pieces,” said Tan. “By the end of the quarter, the Pupper that each student team builds and programs from scratch mirrors the technology used by cutting-edge research labs and industry teams today.”

All ready for the robotics boom

The instructors believe the field of AI robotics is still gaining momentum, and they’ve made sure the course stays current by integrating new lessons and technology advances nearly every quarter.

A water jet is mounted on this "firefighter" Pupper

This Pupper was mounted with a small water jet to put out a pretend fire. | Harry Gregory

Students have responded to the course with resounding enthusiasm and the instructors expect interest in robotics – at Stanford and in general – will continue to grow. They hope to be able to expand the course, and that the community they’ve fostered through CS 123 can contribute to this engaging and important discipline.

“The hope is that many CS 123 students will be inspired to become future innovators and leaders in this exciting, ever-changing field,” said Tan.

“We strongly believe that now is the time to make the integration of AI and robotics accessible to more students,” Bowers said. “And that effort starts here at Stanford and we hope to see it grow beyond campus, too.”



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5 Ways CFOs Can Upskill Their Staff in AI to Stay Competitive

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Chief financial officers are recognizing the need to upskill their workforce to ensure their teams can effectively harness artificial intelligence (AI).

According to a June 2025 PYMNTS Intelligence report, “The Agentic Trust Gap: Enterprise CFOs Push Pause on Agentic AI,” all the CFOs surveyed said generative AI has increased the need for more analytically skilled workers. That’s up from 60% in March 2024.

“The shift in the past year reflects growing hands-on use and a rising urgency to close capability gaps,” according to the report.

The CFOs also said the overall mix of skills required across the business has changed. They need people who have AI-ready skills: “CFOs increasingly need talent that can evaluate, interpret and act on machine-generated output,” the report said.

The CFO role itself is changing. According to The CFO, 27% of job listings for chief financial officers now call for AI expertise.

Notably, the upskill challenge is not limited to IT. The need for upskilling in AI affects all departments, including finance, operations and compliance. By taking a proactive approach to skill development, CFOs can position their teams to work alongside AI rather than compete with it.

The goal is to cultivate professionals who can critically assess AI output, manage risks, and use the tools to generate business value.

Among CEOs, the impact is just as pronounced. According to a Cisco study, 74% fear that gaps in knowledge will hinder decisions in the boardroom and 58% fear it will stifle growth.

Moreover, 73% of CEOs fear losing ground to rivals because of IT knowledge or infrastructure gaps. One of the barriers holding back CEOs are skills shortages.

Their game plan: investing in knowledge and skills, upgrading infrastructure and enhancing security.

Here are some ways companies can upskill their workforce for AI:

Ensure Buy-in by the C-Suite

  • With leadership from the top, AI learning initiatives will be prioritized instead of falling by the wayside.
  • Allay any employee concerns about artificial intelligence replacing them so they will embrace the use and management of AI.

Build AI Literacy Across the Company

  • Invest in AI training programs: Offer structured training tailored to finance to help staff understand both the capabilities and limitations of AI models, according to CFO.university.
  • Promote AI fluency: Focus on both technical skills, such as how to use AI tools, and conceptual fluency of AI, such as understanding where AI can add value and its ethical implications, according to the CFO’s AI Survival Guide.
  • Create AI champions: Identify and develop ‘AI champions’ within the team who can bridge the gap between finance and technology, driving adoption and supporting peers, according to Upflow.

Integrate AI Into Everyday Workflows

  • Start with small, focused projects such as expense management to demonstrate value and build confidence.
  • Foster a culture where staff can explore AI tools, automate repetitive tasks, and share learnings openly.

Encourage Continuous Learning

Make learning about AI a continuous process, not a one-time event. Encourage staff to stay updated on AI trends and tools relevant to finance.

  • Promote collaboration between finance, IT, and other departments to maximize AI’s impact and share best practices.

Tap External Resources

  • Partner with universities and providers: Tap into external courses, certifications, and workshops to supplement internal training.
  • Consider tapping free or low-cost resources, such as online courses and AI literacy programs offered by tech companies (such as Grow with Google). These tools can provide foundational understanding and help employees build confidence in using AI responsibly.

Read more:

CFOs Move AI From Science Experiment to Strategic Line Item

3 Ways AI Shifts Accounts Receivable From Lagging to Leading Indicator

From Nice-to-Have to Nonnegotiable: How AI Is Redefining the Office of the CFO



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Real or AI: Band confirms use of artificial intelligence for its music on Spotify

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The Velvet Sundown, a four-person band, or so it seems, has garnered a lot of attention on Spotify. It started posting music on the platform in early June and has since released two full albums with a few more singles and another album coming soon. Naturally, listeners started to accuse the band of being an AI-generated project, which as it now turns out, is true.

The band or music project called The Velvet Sundown has over a million monthly listeners on Spotify. That’s an impressive debut considering their first album called “Floating on Echoes” hit the music streaming platform on June 4. Then, on June 19, their second album called “Dust and Silence” was added to the library. Next week, July 14, will mark the release of the third album called “Paper Sun Rebellion.” Since their debut, listeners have accused the band of being an AI-generated project and now, the owners of the project have updated the Spotify bio and called it a “synthetic music project guided by human creative direction, and composed, voiced, and visualized with the support of artificial intelligence.”

It goes on to state that this project challenges the boundaries of “authorship, identity, and the future of music itself in the age of AI.” The owners claim that the characters, stories, music, voices, and lyrics are “original creations generated with the assistance of artificial intelligence tools,” but it is unclear to what extent AI was involved in the development process.

The band art shows four individuals suggesting they are owners of the project, but the images are likely AI-generated as well. Interestingly, Andrew Frelon (pseudonym) claimed to be the owner of the AI band initially, but then confirmed that was untrue and that he pretended to run their Twitter because he wanted to insert an “extra layer of weird into this story,” of this AI band.

As it stands now, The Velvet Sundown’s music is available on Spotify with the new album releasing next week. Now, whether this unveiling causes a spike or a decline in monthly listeners, remains to be seen. 



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