
Lyft CEO David Risher on competing with Uber and the future of rideshare
The rideshare market has reached a crossroads. Autonomous vehicles are on the rise, driver unrest is mounting, and customers are questioning everything from pricing to trust and safety. In the midst of it all, Lyft is mounting a comeback. CEO David Risher, who came into the role at Lyft two years ago, is taking a bird's-eye view on the operation and pushing to reposition the company squarely against their competitor, Uber—with faster execution, bold new programs, and Lyft's biggest international acquisition to date.
This is an abridged transcript of an interview from Rapid Response, hosted by the former editor-in-chief of Fast Company Bob Safian. From the team behind the Masters of Scale podcast, Rapid Response features candid conversations with today's top business leaders navigating real-time challenges. Subscribe to Rapid Response wherever you get your podcasts to ensure you never miss an episode.
[A recent letter you wrote to shareholders] includes this phrase 'falcon mode,' which has also sparked a bunch of interest. I wanted to ask you to explain, what is falcon mode?
So falcons fly thousands of feet in the air. But of course, they can't stay up there always because they've got to eat. So falcons have adapted to become extremely perceptive at seeing very small things on the ground and then being able to dive down very, very quickly, grab the mouse or whatever it is, and then go back up to cruising altitude.
I use that kind of figurative language to help my team actually understand my job, which is to try to stay up at the high level. I mean, a CEO doesn't hopefully need to be in the details every single day, but I have never found a successful CEO, and I've worked for some very successful CEOs, I'm very lucky in that way, who doesn't also judiciously decide when to come down and to go really, really deep into the things, to get to the point where you're literally saying, 'You know what, I think this language on the screen isn't quite doing the job,' as an example.
How much of that is about you identifying something that's strategic that you could have seen at 30,000 feet that maybe others are missing versus pointing to your team that this is the way you want them to act?
I think if you never do it yourself, if all you're doing is telling your team, 'Go look at this, go look at this, go look at this, go look at this,' I think the chance of you having good intuition on that, where to actually go deep, is low. But then on the other hand, hopefully they see you doing it, and they become comfortable themselves.
And again, I want to make a distinction: you haven't mentioned the word micromanagement, but that's a word that sometimes people say, 'Well, doesn't that sound like micromanagement?' And for me, the distinction I make is I try, again, sometimes unsuccessfully to be clear, but I try not to use it as a way to propose answers. Of course, sometimes I do. I'm a human being, I have ideas, but I try more to use it as a way to understand a problem space better.
A story I tell in the letter is you can understand the issue of surge pricing at a generic level. People don't like prices that are unpredictable, and that gives you a certain amount of insight. But when I drove and I picked up a woman named Anne, and she said, 'Sometimes the price is 20, sometimes it's 30, sometimes it's 40. When it's 20, I take a Lyft. When it's 40, I drive myself, but I'm really annoyed. I get up at six in the morning, just check the price every single morning.' You have these conversations, and you get so much more empathy and understanding for the contours of that problem and why it matters so much at an individual level.
And then you can go back to your team and say, 'You know what, guys, I know we've been talking about trying to get rid of surge pricing or at least some of it for a while. Let me give you some examples that I've picked up by going deep that maybe help us understand both why this is a big problem for people and maybe understand, as I say, the contours of this space a little bit better as a result.'
And so this is why you get on the road and you drive a Lyft every six weeks for a day, so you're close to the experience of both sides of your marketplace, the driver and the rider.
It's exactly it. And it's so interesting. I actually took my first drive, I think it was a week before I joined even. So it's been a little bit over two years now. And at first what I really thought it was going to be is really understanding the driver app and the driver experience. And I learned a lot, but what it's really taught me is how the rider experiences the ride. And it's so different to look at the data versus talk to the riders and ask them, 'Why did you choose Lyft today versus the other guys? What are some of the perceptions you have?'
And sometimes people talk about a credit card deal we have with Chase Sapphire Reserve, and sometimes people will talk about a bad experience they had on the other guys. Sometimes they'll talk about how they think they like our values better or they like Women+ Connect, which is a service we have. So you get a sense of both sides of the marketplace, and it's quite efficient. I mean, it's only two or three hours, and gosh, you can learn a lot in two or three hours if you really, really focus on them.
You have more riders than ever, you have more drivers than ever, but you're still far behind Uber, which has 75% of the market or something. I mean, we've heard a lot about the streaming wars in TV, and there's arguably a ridesharing war going on. Do you have to beat Uber to become like Netflix in streaming, or is it just about staying competitive? You don't have to be Netflix. If you can be BritBox, and that's you, that's okay.
So a couple of things I think about that, every year just in the U.S., so we're not even talking about overseas, just in the U.S., people take about 160 billion rides in their own car, 160 billion. So every single one of those rides, they're getting behind the wheel, their stress level is probably going up a little bit, hopefully they're not texting, but they're certainly tempted to text every time they come to a stoplight, they're road rage sometimes, frustrated. At the very least, they're not able to do very much else with their life, and then they got to park, and then they got to pay for parking, and all these different things.
So there are a lot of times where, you know what, it's actually kind of nice to have someone else pick you up. You can do the texting, you can sit back, you can make a phone call if you want to, you can put on your makeup if you're a woman, whatever it is, guy too, whoever. So the point is it's a better experience, and we want to do it so reliably and at such a high service level that we move from, call it, 800 million rides a year, which is about what we do, to a billion to two billion to three billion to four billion.
So do I have to compete with someone else to do that? Not really. Now, we have to compete with private cars, and to a certain extent, with people staying at home on their couch. I mean, those are things I have to compete with, but I don't really need to dominate the other guy.
Now, having said that, there is another guy in the marketplace. Our share when I joined was about 26% share. Now it's about 31% share. So we've made nice progress there, and that's hard. I mean, every single point of share you get over a bigger competitor is quite hard.
I'll give you two stats that I'm very proud of. One is we pick you up about 30 seconds faster than they do. Second is for our drivers, we have a 23-point advantage, 23-point advantage in preference of dual-appers, people who use both apps. Who would you prefer to drive for?
So I consider those to be very good leading early indicators that we're doing some things well. The share thing is a little bit of a trailing indicator. It's just an interesting little thing to look at. Leading indicator is more to people like you more, you get better service. And over time, that tends to grow a business quite nicely.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Washington Post
23 minutes ago
- Washington Post
Direct pay to college athletes starts July 1. Some key dates tied to implementation of settlement
It took five years for the $2.8 billion antitrust lawsuit against the NCAA and five major conferences to reach a settlement. Now comes the process for implementing it. Following are significant dates: Settlement approved; settlement-related NCAA rules are effective, as adopted by the NCAA Division I Board on April 21, 2025. NIL Go portal launches. Opt-in deadline for non-defendant schools to fully commit to revenue sharing. First date for direct institutional revenue-sharing payments to student-athletes. Opt-in schools must 'designate' student-athletes permitted by the settlement to remain above roster limits. With the exception of the 'designated' student-athletes, fall sports must be at or below roster limits by their first day of competition. With the exception of 'designated' student-athletes, winter and spring sports must be at or below roster limits by their first day of competition or Dec. 1, whichever is earlier. ___ AP college sports:


Forbes
25 minutes ago
- Forbes
Musk Follows Harvard In Biting The Hand That Feeds
Elon Musk and Harvard Both Bite the Governmental Hand that Feeds Them From an early age, children are taught essential lessons: do not play with fire, do not pet strange dogs, and if one cannot swim, stay out of the deep end. Another timeless rule—often forgotten by those in positions of immense wealth and influence—is this: do not bite the hand that feeds you. This lesson, while simple, has profound implications in the real world. It applies just as readily to billionaires and institutions as it does to children on a playground. Yet recent actions by both Elon Musk and prominent academic institutions—most notably Harvard, but also Columbia, MIT, and others—suggest that even the most successful individuals and organizations are capable of ignoring foundational wisdom. Harvard set the tone. Amid growing political scrutiny and a shifting cultural landscape, the university has drawn intense criticism over its handling of campus protests, particularly those involving slogans such as 'from the river to the sea.' The administration's decision to defend even the most controversial speech—widely viewed by many as antisemitic—has triggered investigations and jeopardized billions in tax-exempt status and government research funding. This raises a critical question: is this truly the hill worth dying on? Is preserving the right to controversial protest slogans worth risking Harvard's institutional future? It is doubtful that most students and faculty would knowingly trade funding, grants, and prestige for this fight. Elon Musk, the world's richest man, has now followed suit—this time turning his attention toward President Donald Trump, with whom he has launched a high-profile and personal feud. What makes this move especially striking is that President Trump is not a distant figure or a fading influence. He is once again sitting in the White House, wielding executive authority over regulatory agencies, defense contracting, and infrastructure initiatives—all areas that directly affect Musk's companies. Tesla, SpaceX, and xAI have flourished in part because of government partnership. SpaceX alone holds multibillion-dollar contracts with NASA and the Department of Defense. Tesla has benefitted from years of energy subsidies and EV tax incentives. Picking a fight with the sitting president—regardless of personal conviction—puts this entire ecosystem at risk. And again the question must be asked: is this battle worth the damage? Whatever principle Musk may be defending, the consequences extend far beyond himself. Shareholders, employees, and retail investors—many of whom placed their trust and savings in his leadership—are the ones left exposed. The parallel between Harvard and Musk is striking: both have been immensely successful, aided in large part by government funding, favorable regulation, and public goodwill. And both have, for different reasons, chosen to confront the very institutions and leaders that have helped sustain their growth. There is precedent for how this ends. Jack Ma, once the most powerful entrepreneur in China, famously criticized the Chinese government. The backlash was immediate and absolute. His companies were dismantled. His IPO was cancelled. His wealth and influence evaporated almost overnight. Even in less authoritarian systems, the lesson holds: those who antagonize the systems that support them may not survive the consequences. While Musk's personal net worth has dropped from nearly $450 billion to approximately $300 billion, the impact is more symbolic than practical for him. But for millions of investors, employees, and stakeholders, these battles matter. Market volatility, regulatory backlash, and reputational risk all come with tangible financial costs—costs borne not just by Musk himself, but by those who have trusted and invested in his vision. The same applies to Harvard and peer institutions. Their leadership may believe they are standing on principle, but the price of alienating government agencies and key financial backers could reshape the long-term trajectory of these universities. The erosion of public trust, the loss of bipartisan support, and the potential withdrawal of federal funding pose existential threats. Leadership—whether in business or academia—requires more than conviction. It requires judgment, timing, and the discipline to separate personal ideology from institutional responsibility. Founder-led companies often outperform when leaders are focused, visionary, and measured. But when ego replaces strategy, the consequences can be swift and severe. No one is demanding absolute political alignment or silence in the face of controversy. No one is asking Elon Musk to wear a MAGA hat. But his recent actions have been so volatile, so self-destructive, that investors may soon be tempted to hand him something else entirely—a MEGA hat: Make Elon Great Again. In today's polarized environment, the margin for error has narrowed. And for those who owe much of their success to public support—whether in Silicon Valley or the Ivy League—biting the hand that feeds is not just unwise. It is unsustainable. ---------------------------------- Disclosure: Past performance is no guarantee of future results. Please refer to the following link for additional disclosures: Additional Disclosure Note: The author has an affiliation with ERShares and the XOVR ETF. The intent of this article is to provide objective information; however, readers should be aware that the author may have a financial interest in the subject matter discussed. As with all equity investments, investors should carefully evaluate all options with a qualified investment professional before making any investment decision. Private equity investments, such as those held in XOVR, may carry additional risks—including limited liquidity—compared to traditional publicly traded securities. It is important to consider these factors and consult a trained professional when assessing suitability and risk tolerance.


Forbes
25 minutes ago
- Forbes
An AI Film Festival And The Multiverse Engine
In the glassy confines of Alice Tully Hall on Thursday, the third annual Runway AI Film Festival celebrated an entirely new art form. The winning film, Total Pixel Space, was not made in the traditional sense. It was conjured by Jacob Adler, a composer and educator from Arizona State University, stitched together from image generators, synthetic voices, and video animation tools — most notably Runway's Gen-3, the company's text-to-video model (Runway Gen-4 was released in March). Video generation technology emerged in public in 2022 with Meta's crude video of a flying Corgi wearing a red cape and sunglasses. Since then, it has fundamentally transformed filmmaking, dramatically lowering barriers to entry and enabling new forms of creative expression. Independent creators and established filmmakers alike now have access to powerful AI tools such as Runway that can generate realistic video scenes, animate storyboards, and even produce entire short films from simple text prompts or reference images. As a result, production costs and timelines are shrinking, making it possible for filmmakers with limited resources to achieve professional-quality results and bring ambitious visions to life. The democratization of content creation is expanding far beyond traditional studio constraints, empowering anyone with patience and a rich imagination. Adler's inspiration came from Jorge Luis Borges' celebrated short story The Library of Babel, which imagines a universe where every conceivable book exists in an endless repository. Adler found a parallel in the capabilities of modern generative machine learning models, which can produce an unfathomable variety of images from noise (random variations in pixel values much like the 'snow' on an old television set) and text prompts. 'How many images can possibly exist,' the dreamy narrator begins as fantastical AI-generated video plays on the screen: a floating, exploding building; a human-sized housecat curled on a woman's lap. 'What lies in the space between order and chaos?' Adler's brilliant script is a fascinating thought experiment that attempts to calculate the total number of possible images, unfurling the endless possibilities of the AI-aided human imagination. 'Pixels are the building blocks of digital images, tiny tiles forming a mosaic,' continues the voice, which was generated using ElevenLabs. 'Each pixel is defined by numbers representing color and position. Therefore, any digital image can be represented as a sequence of numbers,' the narration continues, the voice itself a sequence of numbers that describe air pressure changes over time. 'Therefore, every photograph that could ever be taken exists as coordinates. Every frame of every possible film exists as coordinates.' Winners at the 3rd Annual International AIFF 2025 Runway was founded in 2018 by Cristóbal Valenzuela, Alejandro Matamala, and Anastasis Germanidis, after they met at New York University Tisch School of the Arts. Valenzuela, who serves as CEO, says he fell in love with neural networks in 2015, and couldn't stop thinking about how they might be used by people who create. Today, it's a multi-million-user platform, used by filmmakers, musicians, advertisers, and artists, and has been joined by other platforms, including OpenAI's Sora, and Google's Veo 3. What separates Runway from many of its competitors is that it builds from scratch. Its research team — which comprises most of the company — develops its own models, which can now generate up to about 20 seconds of video. The result, as seen in the works submitted to the AI Film Festival, is what Valenzuela calls 'a new kind of media.' The word film may soon no longer apply. Nor, perhaps, will filmmaker. 'The Tisches of tomorrow will teach something that doesn't yet have a name,' he said during opening remarks at the festival. Indeed, Adler is not a filmmaker by training, but a classically trained composer, a pipe organist, and a theorist of microtonality. 'The process of composing music and editing film,' he told me, 'are both about orchestrating change through time.' He used the image generation platform Midjourney to generate thousands of images, then used Runway to animate them. He used ElevenLabs to synthesize the narrator's voice. The script he wrote himself, drawing from the ideas of Borges, combinatorics, and the sheer mind-bending number of possible images that can exist at a given resolution. He edited it all together in DaVinci Resolve. The result? A ten-minute film that feels as philosophical as it is visual. It's tempting to frame all this as the next step in a long evolution; from the Lumière brothers to CGI, from Technicolor to TikTok. But what we're witnessing isn't a continuation. It's a rupture. 'Artists used to be gatekept by cameras, studios, budgets,' Valenzuela said. 'Now, a kid with a thought can press a button and generate a dream.' At the Runway Film Festival, the lights dimmed, and the films came in waves of animated hallucinations, synthetic voices, and impossible perspectives. Some were rough. Some were polished. All were unlike anything seen before. This isn't about replacing filmmakers. It's about unleashing them. 'When photography first came around — actually, when daguerreotypes were first invented — people just didn't have the word to describe it,' Valenzuela said during his opening remarks at the festival. 'They used this idea of a mirror with a memory because they'd never seen anything like that. … I think that's pretty close to where we are right now.' Valenzuela was invoking Oliver Wendell Holmes Sr.'s phrase to convey how photography could capture and preserve images of reality, allowing those images to be revisited and remembered long after the moment had passed. Just as photography once astonished and unsettled, generative media now invites a similar rethinking of what creativity means. When you see it — when you watch Jacob Adler's film unfold — it's hard not to feel that the mirror is starting to show us something deeper. AI video generation is a kind of multiverse engine, enabling creators to explore and visualize an endless spectrum of alternate realities, all within the digital realm. 'Evolution itself becomes not a process of creation, but of discovery,' his film concludes. 'Each possible path of life's development … is but one thread in a colossal tapestry of possibility.'