Rice research explores how shopping data could reshape credit scores

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Everyday data like grocery store receipts can help expand access to credit and support upward mobility. Photo by Boxed Water Is Better on Unsplash

More than a billion people worldwide can’t access credit cards or loans because they lack a traditional credit score. Without a formal borrowing history, banks often view them as unreliable and risky. To reach these borrowers, lenders have begun experimenting with alternative signals of financial reliability, such as consistent utility or mobile phone payments.

New research from Rice Business builds on that approach. Previous work by assistant professor of marketing Jung Youn Lee showed that everyday data like grocery store receipts can help expand access to credit and support upward mobility. Her latest study extends this insight, using broader consumer spending patterns to explore how alternative credit scores could be created for people with no credit history.

Forthcoming in the Journal of Marketing Research, the study finds that when lenders use data from daily purchases — at grocery, pharmacy, and home improvement stores — credit card approval rates rise. The findings give lenders a powerful new tool to connect the unbanked to credit, laying the foundation for long-term financial security and stronger local economies.

Turning Shopping Habits into Credit Data

To test the impact of retail transaction data on credit card approval rates, the researchers partnered with a Peruvian company that owns both retail businesses and a credit card issuer. In Peru, only 22% of people report borrowing money from a formal financial institution or using a mobile money account.

The team combined three sets of data: credit card applications from the company, loyalty card transactions, and individuals’ credit histories from Peru’s financial regulatory authority. The company’s point-of-sale data included the types of items purchased, how customers paid, and whether they bought sale items.

“The key takeaway is that we can create a new kind of credit score for people who lack traditional credit histories, using their retail shopping behavior to expand access to credit,” Lee says.

The final sample included 46,039 credit card applicants who had received a single credit decision, had no delinquent loans, and made at least one purchase between January 2021 and May 2022. Of these, 62% had a credit history and 38% did not.

Using this data, the researchers built an algorithm that generated credit scores based on retail purchases and predicted repayment behavior in the six months following the application. They then simulated credit card approval decisions.

Retail Scores Boost Approvals, Reduce Defaults

The researchers found that using retail purchase data to build credit scores for people without traditional credit histories significantly increased their chances of approval. Certain shopping behaviors — such as seeking out sale items — were linked to greater reliability as borrowers.

For lenders using a fixed credit score threshold, approval rates rose from 15.5% to 47.8%. Lenders basing decisions on a target loan default rate also saw approvals rise, from 15.6% to 31.3%.

“The key takeaway is that we can create a new kind of credit score for people who lack traditional credit histories, using their retail shopping behavior to expand access to credit,” Lee says. “This approach benefits unbanked applicants regardless of a lender’s specific goals — though the size of the benefit may vary.”

Applicants without credit histories who were approved using the retail-based credit score were also more likely to repay their loans, indicating genuine creditworthiness. Among first-time borrowers, the default rate dropped from 4.74% to 3.31% when lenders incorporated retail data into their decisions and kept approval rates constant.

For applicants with existing credit histories, the opposite was true: approval rates fell slightly, from 87.5% to 84.5%, as the new model more effectively screened out high-risk applicants.

Expanding Access, Managing Risk

The study offers clear takeaways for banks and credit card companies. Lenders who want to approve more applications without taking on too much risk can use parts of the researchers’ model to design their own credit scoring tools based on customers’ shopping habits.

Still, Lee says, the process must be transparent. Consumers should know how their spending data might be used and decide for themselves whether the potential benefits outweigh privacy concerns. That means lenders must clearly communicate how data is collected, stored, and protected—and ensure customers can opt in with informed consent.

Banks should also keep a close eye on first-time borrowers to make sure they’re using credit responsibly. “Proactive customer management is crucial,” Lee says. That might mean starting people off with lower credit limits and raising them gradually as they demonstrate good repayment behavior.

This approach can also discourage people from trying to “game the system” by changing their spending patterns temporarily to boost their retail-based credit score. Lenders can design their models to detect that kind of behavior, too.

The Future of Credit

One risk of using retail data is that lenders might unintentionally reject applicants who would have qualified under traditional criteria — say, because of one unusual purchase. Lee says banks can fine-tune their models to minimize those errors.

She also notes that the same approach could eventually be used for other types of loans, such as mortgages or auto loans. Combined with her earlier research showing that grocery purchase data can predict defaults, the findings strengthen the case that shopping behavior can reliably signal creditworthiness.

“If you tend to buy sale items, you’re more likely to be a good borrower. Or if you often buy healthy food, you’re probably more creditworthy,” Lee explains. “This idea can be applied broadly, but models should still be customized for different situations.”

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This article originally appeared on Rice Business Wisdom. Written by Deborah Lynn Blumberg

Anderson, Lee, and Yang (2025). “Who Benefits from Alternative Data for Credit Scoring? Evidence from Peru,” Journal of Marketing Research.

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A map of U.S. data centers. Courtesy of Rice Businesses Wisdom

Your data center is either closer than you think or much farther away

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A new study shows why some facilities cluster in cities for speed and access, while others move to rural regions in search of scale and lower costs. Based on research by Tommy Pan Fang (Rice Business) and Shane Greenstein (Harvard).

Key findings:

  • Third-party colocation centers are physical facilities in close proximity to firms that use them, while cloud providers operate large data centers from a distance and sell access to virtualized computing resources as on‑demand services over the internet.
  • Hospitals and financial firms often require urban third-party centers for low latency and regulatory compliance, while batch processing and many AI workloads can operate more efficiently from lower-cost cloud hubs.
  • For policymakers trying to attract data centers, access to reliable power, water and high-capacity internet matter more than tax incentives.

Recent outages and the surge in AI-driven computing have made data center siting decisions more consequential than ever, especially as energy and water constraints tighten. Communities invest public dollars on the promise of jobs and growth, while firms weigh long-term commitments to land, power and connectivity.

Against that backdrop, a critical question comes into focus: Where do data centers get built — and what actually drives those decisions?

A new study by Tommy Pan Fang (Rice Business) and Shane Greenstein (Harvard Business School) provides the first large-scale statistical analysis of data center location strategies across the United States. It offers policymakers and firms a clearer starting point for understanding how different types of data centers respond to economic and strategic incentives.

Forthcoming in the journal Strategy Science, the study examines two major types of infrastructure: third-party colocation centers that lease server space to multiple firms, and hyperscale cloud centers owned by providers like Amazon, Google and Microsoft.

Two Models, Two Location Strategies

The study draws on pre-pandemic data from 2018 and 2019, a period of relative geographic stability in supply and demand. This window gives researchers a clean baseline before remote work, AI demand and new infrastructure pressures began reshaping internet traffic patterns.

The findings show that data centers follow a bifurcated geography. Third-party centers cluster in dense urban markets, where buyers prioritize proximity to customers despite higher land and operating costs. Cloud providers, by contrast, concentrate massive sites in a small number of lower-density regions, where electricity, land and construction are cheaper and economies of scale are easier to achieve.

Third-party data centers, in other words, follow demand. They locate in urban markets where firms in finance, healthcare and IT value low latency, secure storage, and compliance with regulatory standards.

Using county-level data, the researchers modeled how population density, industry mix and operating costs predict where new centers enter. Every U.S. metro with more than 700,000 residents had at least one third-party provider, while many mid-sized cities had none.

ImageThis pattern challenges common assumptions. Third-party facilities are more distributed across urban America than prevailing narratives suggest.

Customer proximity matters because some sectors cannot absorb delay. In critical operations, even slight pauses can have real consequences. For hospital systems, lag can affect performance and risk exposure. And in high-frequency trading, milliseconds can determine whether value is captured or lost in a transaction.

“For industries where speed is everything, being too far from the physical infrastructure can meaningfully affect performance and risk,” Pan Fang says. “Proximity isn’t optional for sectors that can’t absorb delay.”

The Economics of Distance

For cloud providers, the picture looks very different. Their decisions follow a logic shaped primarily by cost and scale. Because cloud services can be delivered from afar, firms tend to build enormous sites in low-density regions where power is cheap and land is abundant.

These facilities can draw hundreds of megawatts of electricity and operate with far fewer employees than urban centers. “The cloud can serve almost anywhere,” Pan Fang says, “so location is a question of cost before geography.”

The study finds that cloud infrastructure clusters around network backbones and energy economics, not talent pools. Well-known hubs like Ashburn, Virginia — often called “Data Center Alley” — reflect this logic, having benefited from early network infrastructure that made them natural convergence points for digital traffic.

Local governments often try to lure data centers with tax incentives, betting they will create high-tech jobs. But the study suggests other factors matter more to cloud providers, including construction costs, network connectivity and access to reliable, affordable electricity.

When cloud centers need a local presence, distance can sometimes become a constraint. Providers often address this by working alongside third-party operators. “Third-party centers can complement cloud firms when they need a foothold closer to customers,” Pan Fang says.

That hybrid pattern — massive regional hubs complementing strategic colocation — may define the next phase of data center growth.

Looking ahead, shifts in remote work, climate resilience, energy prices and AI-driven computing may reshape where new facilities go. Some workloads may move closer to users, while others may consolidate into large rural hubs. Emerging data-sovereignty rules could also redirect investment beyond the United States.

“The cloud feels weightless,” Pan Fang says, “but it rests on real choices about land, power and proximity.”

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This article originally appeared on Rice Business Wisdom. Written by Scott Pett.

Pan Fang and Greenstein (2025). “Where the Cloud Rests: The Economic Geography of Data Centers,” forthcoming in Strategy Science.

Search trends predict future retail revenue up to three quarters in advance. Photo via Pexels

Forecasting retail sales just got smarter, thanks to Google searches

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Imagine being able to predict the future of retail sales — not with months-old economic reports, but with real-time digital breadcrumbs left behind by consumers. Thanks to new research from K. Ramesh (Rice Business) and Gary Lind (University of Pittsburgh), that future is already here.

Key findings

  • Search trends predict future retail revenue — up to three quarters ahead.
  • Markets don’t fully price in search-based insights, especially before earnings announcements.
  • Trading strategies using search data outperform traditional asset-pricing models by 2–3%.
  • Analysts often underuse this data, resulting in predictable forecast errors.
  • At the macro level, search trends closely track — and often lead — official retail sales and GDP.

Their study shows that Google search trends are powerful predictors of consumer demand, capable of forecasting U.S. retail sales up to three quarters in advance. The implications span industries and audiences — from Wall Street traders to Main Street retailers, and from data-driven CFOs to curious business students.

A smarter, faster crystal ball for retail demand

Retail sales drive nearly 70% of U.S. gross domestic product (GDP), making them one of the most important indicators of economic health. Yet traditional forecasting relies heavily on backward-looking data and broad economic indicators. Ramesh and Lind’s work offers a leap forward: search data from Google Trends — publicly available and easy to use — can offer a faster, more precise signal of where sales are headed.

“If you want to understand consumer demand,” says Ramesh, the Herbert S. Autrey Professor of Accounting at Rice Business, “look at what people are searching for — not just what companies report after the fact. These digital footprints can tell us where revenue is going, often before the market catches up.”

This low-cost approach stands in stark contrast to expensive alternatives, such as satellite images of parking lots, in-store foot traffic from mobile data, or retail scanner feeds — tools often reserved for hedge funds and large institutional investors. Google Trends offers a scalable, accessible option for anyone seeking insight into consumer behavior.

Why this matters for investors and analysts

The researchers analyzed search patterns for nearly 200 publicly traded U.S. retail companies between 2004 and 2019. They found that firms with rising search volumes tend to report higher revenues — often well before analysts or investors react.

In fact, investment strategies built around these trends earned 2–3% higher returns than traditional models would predict. And most of these gains were concentrated around earnings announcements — a sign that markets were slow to recognize what search data had already revealed.

The advantage is even more striking for companies that fly under Wall Street’s radar. For firms with limited analyst coverage, the predictive power of search data on stock performance was more than 80% stronger.

A new tool for analysts — if they’ll use it

Despite the clear signal in the data, the study finds that analysts routinely fail to incorporate search-based insights into their forecasts. That gap translates into missed revenue predictions and market inefficiencies — which sophisticated investors can exploit.

“The search data are out there,” says Lind, a Rice Business Ph.D. ’19 graduate now on faculty at Pitt Business. “They’re public, powerful, and free. Analysts who ignore them are missing an opportunity.”

The impact of this research extends well beyond equity markets. By aggregating Google search data across the retail sector, the authors found strong alignment with U.S. Census retail sales figures and GDP trends. In other words, these digital signals reflect not just firm-level interest, but macroeconomic momentum.

A data wake-up call

This makes search trends a potentially valuable early-warning system for policymakers, central banks, and anyone responsible for interpreting the economic landscape. During volatile or uncertain periods, such tools could offer precious foresight into shifting consumer behavior.

In a digital era where consumers research before they shop — whether online or in-store — it’s no surprise that their Google queries leave valuable clues. What’s surprising is how often businesses, investors, and even economists still overlook them, Ramesh says. “Search data is a goldmine. And it's just sitting there, waiting to be used.”

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This article originally appeared on Rice Business Wisdom.

Lind and Ramesh, “Using Internet Search Data to Predict Aggregate Retail Sales and Enhance Firm-Level Revenue Expectations,” Contemporary Accounting Research (April 2025): 1-32. https://doi.org/10.1111/1911-3846.13043.

Legislators carved out $715 million for nuclear, semiconductor, and other economic development projects, and a potential $1 billion pool of tax incentives to support research-and-development projects. Photo via Getty Images

How Houston's innovation sector fared in 2025 Texas legislative session

That's a Wrap

The Greater Houston Partnership is touting a number of victories during the recently concluded Texas legislative session that will or could benefit the Houston area. They range from billions of dollars for dementia research to millions of dollars for energy projects.

“These wins were only possible through deep collaboration, among our coalition partners, elected officials, business and community leaders, and the engaged members of the Partnership,” according to a partnership blog post. “Together, we’ve demonstrated how a united voice for Houston helps drive results that benefit all Texans.”

In terms of business innovation, legislators carved out $715 million for nuclear, semiconductor, and other economic development projects, and a potential $1 billion pool of tax incentives through 2029 to support research-and-development projects. The partnership said these investments “position Houston and Texas for long-term growth.”

Dementia institute

One of the biggest legislative wins cited by the Greater Houston Partnership was passage of legislation sponsored by Sen. Joan Huffman, a Houston Republican, to provide $3 billion in funding over 10 years for the Dementia Prevention and Research Institute of Texas. Voters will be asked in November to vote on a ballot initiative that would set aside $3 billion for the new institute.

The dementia institute would be structured much like the Cancer Prevention and Research Institute of Texas (CPRIT), a state agency that provides funding for cancer research in the Lone Star State. Since its founding in 2008, CPRIT has awarded nearly $3.9 billion in research grants.

“By establishing the Dementia Prevention and Research Institute of Texas, we are positioning our state to lead the charge against one of the most devastating health challenges of our time,” Huffman said. “With $3 billion in funding over the next decade, we will drive critical research, develop new strategies for prevention and treatment, and support our healthcare community. Now, it’s up to voters to ensure this initiative moves forward.”

More than 500,000 Texans suffer from some form of dementia, including Alzheimer’s disease, according to Lt. Gov. Dan Patrick.

“With a steadfast commitment, Texas has the potential to become a world leader in combating [dementia] through the search for effective treatments and, ultimately, a cure,” Patrick said.

Funding for education

In the K-12 sector, lawmakers earmarked an extra $195 million for Houston ISD, $126.7 million for Cypress-Fairbanks ISD, $103.1 million for Katy ISD, $80.6 million for Fort Bend ISD, and $61 million for Aldine ISD, the partnership said.

In higher education, legislators allocated:

  • $1.17 billion for the University of Houston College of Medicine, University of Texas Health Science Center at Houston, UT MD Anderson Cancer Center, and Baylor College of Medicine
  • $922 million for the University of Houston System
  • $167 million for Texas Southern University
  • $10 million for the Center for Biotechnology at San Jacinto College.

Infrastructure

In the infrastructure arena, state lawmakers:

  • Approved $265 million for Houston-area water and flood mitigation projects, including $100 million for the Lynchburg Pump Station
  • Created the Lake Houston Dredging and Maintenance District
  • Established a fund for the Gulf Coast Protection District to supply $550 million for projects to make the coastline and ship channel more resilient

"Nuclear power renaissance"

House Bill 14 (HB 14) aims to lead a “nuclear power renaissance in the United States,” according to Texas Gov. Greg Abbott’s office. HB 14 establishes the Texas Advanced Nuclear Energy Office, and allocates $350 million for nuclear development and deployment. Two nuclear power plants currently operate in Texas, generating 10 percent of the energy that feeds the Electric Reliability Council Texas (ERCOT) power grid.

“This initiative will also strengthen Texas’ nuclear manufacturing capacity, rebuild a domestic fuel cycle supply chain, and train the future nuclear workforce,” Abbott said in a news release earlier this year.

One of the beneficiaries of Texas’ nuclear push could be Washington, D.C.-based Last Energy, which plans to build 30 micro-nuclear reactors near Abilene to serve power-gobbling data centers across the state. Houston-based Pelican Energy Partners also might be able to take advantage of the legislation after raising a $450 million fund to invest in companies that supply nuclear energy services and equipment.

Reed Clay, president of the Texas Nuclear Alliance, called this legislation “the most important nuclear development program of any state.”

“It is a giant leap forward for Texas and the United States, whose nuclear program was all but dead for decades,” said Clay. “With the passage of HB 14 and associated legislation, Texas is now positioned to lead a nuclear renaissance that is rightly seen as imperative for the energy security and national security of the United States.”

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A version of this article first appeared on EnergyCapitalHTX.com.

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Houston Methodist receives record $110M gift, names future tower

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Houston Methodist has received the largest gift in the health system's history to establish new funds for neurological, neuroscience, and women’s health research and treatment.

The $110 million gift comes from Houston-based The Brockman Medical Research Foundation, which supports education and research in the science, medicine and healthcare fields. In response, Houston Methodist announced that it will name its forthcoming 26-story hospital facility the Brockman Centennial Tower.

The tower’s entrance will be named the Anna Margaret Bellows Centennial Hall to honor Anna Margaret Bellows, a young camper who died during the Camp Mystic flooding last summer.

“This extraordinary gift accelerates discovery and transforms how care is delivered,” Dr. Marc Boom, president and CEO of Houston Methodist, said in a news release. “We are grateful to The Brockman Medical Research Foundation for its incredible generosity and vision that will help change the lives of generations of patients. Naming Centennial Tower in recognition of this gift reflects the scale of this commitment and its impact on the future of neuroscience, neurological care and women’s health.”

The gift will be divided into two parts:

  • $100 million will go toward creating an innovation fund within the Houston Methodist Academic Institute and the Houston Methodist Neurological Institute
  • $10 million will be devoted to Houston Methodist's Department of Obstetrics and Gynecology

“This tremendous gift will accelerate translational research that broadens our understanding of neurological and other diseases,” Dr. Jenny Chang, president and CEO of the Houston Methodist Academic Institute, added in the release. “It will allow us to leverage state-of-the-art platforms to detect, diagnose and deliver therapeutics, keeping patient care at the center of our mission.”

The Brockman Centennial Tower is expected to open next year in the Texas Medical Center. Spanning more than 1 million square feet, it will house 400 patient beds, an expanded emergency department, new operating rooms and a rooftop garden. It will be connected to Houston Methodist's flagship Paula and Joseph C. “Rusty” Walter III Tower, which opened in 2018. The Centennial Tower was estimated to cost $1.4 billion when announced in 2022.

In addition to the news of the Brockman gift, Houston Methodist also announced this month that it has launched the Houston Methodist Center for Cell and Gene Therapy and tapped an internationally recognized scientist as its leader.

The new center is focused on discovering and developing innovative and cost-effective therapies for a variety of congenital and acquired diseases, including cancer, HIV and cardiovascular disease.

Dr. Malcolm Brenner has been named as the center's inaugural leader and will assume the role starting in October. He will work alongside scientists and support staff from Baylor College of Medicine and Texas Children's Hospital.

Brenner is a professor of pediatrics, medicine, molecular and human genetics and translational biology at Baylor College of Medicine. He is known for making early advances in using bone marrow transplantation as a form of cell therapy and in engineered immune-cell treatments for cancer and infections, according to a release from Houston Methodist.

“Malcolm Brenner is a pioneer in the field of cell and gene therapy and is uniquely qualified to lead Houston Methodist’s research efforts in this field,” Chang added. “His vision and leadership will play a pivotal role in advancing our work in this space.”

Report: Houston reclaims top 10 ranking among America's best cities

Houston has made a triumphant return to America's 10 best cities for 2026, certifying the city is a cornerstone of the country's growth and economic prosperity.

Houston ranks No. 9 nationwide in the annual "America's Best Cities" report from Canada-based real estate and tourism marketing firm Resonance Consultancy. Each year, the report ranks the relative qualities of livability, cultural "lovability," and economic prosperity in 393 American cities with metropolitan populations of 500,000 or more.

Dallas surpassed H-Town as the No. 8 best city in America, and the Lone Star State boasts a strong presence among the top 25. Austin and San Antonio, respectively, were named the 11th and 24th best American cities this year.

Previously, Houston was dubbed the 13th best American city in 2025, down from its No. 10 ranking in the 2024 report.

Rather than profiling each individual city like in past reports, the 2026 edition focuses on regional and state prosperity. Texas' economic dominance is second only to Florida's, and the state's growth is solidified by the Dallas-Houston-Austin "triangle," where each metro has its own distinct economic identity, but when combined "form one of the most formidable regional economies in the world."

"In our 2026 survey, Dallas ranks third nationally as the place Americans believe offers the best job opportunities, Austin fifth, and Houston seventh," the report's author wrote. "That concentration of perceived economic opportunity in a single state is unmatched, and the GDP data confirms it isn’t just perception."

After being named one of the best places to start a business or a career earlier in 2026, Houston has continued to punch above its weight with its success in tourism, education, and housing growth.

Overall, the report found a correlation between a city's population growth and its latest ranking, with bigger cities appearing higher up on the list. The top three best American cities — New York, Los Angeles, and Chicago — are coincidentally the three largest metros, while Dallas and Houston are the fourth and fifth largest but appear eighth and ninth on the list.

"Scale compounds at the large city level — more people generate more economic activity, more cultural infrastructure, more employer presence, which attracts more people," the report said.

The top 10 best cities in America for 2026 are:

  • No. 1 – New York
  • No. 2 – Los Angeles
  • No. 3 – Chicago
  • No. 4 – Miami
  • No. 5 – San Francisco
  • No. 6 – Seattle
  • No. 7 – Las Vegas
  • No. 8 – Dallas
  • No. 9 – Houston
  • No. 10 – Boston

New probe into Tesla after vehicle slams into Houston-area home at high speed

Tesla Talk

The top U.S. auto regulator opened an investigation Monday, June 22, after a Tesla using an automated driving feature slammed into a Texas home at high speed and killed a 76-year-old woman standing inside.

The National Highway Traffic Safety Administration said it's opening a special investigation into the Tesla Model 3 crash on Friday near Houston, a significant probe because the car was using technology that Elon Musk considers key to the company's future.

The Tesla CEO is rolling out robotaxis using automated software in several U.S. cities this year and plans to invite Tesla owners to put their cars into the fleet using the same system across the country.

The driver told the Harris County Sheriff's Office that he was using the technology, according to a police report on the crash, but it's not clear what role, if any, it played in the incident.

Tesla did not respond to a request for comment but the head of the company's artificial intelligence efforts suggested on social media later Monday that the self-driving feature was not to blame.

“In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area,” wrote Ashok Elluswamy on X, the platform that is now part of Musk's rocket company, SpaceX. “They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.”

The police report noted that the driver was not drunk and is cooperating. It identified the woman killed as Martha Avila.

Video obtained by KHOU-TV shows the car traveling at top speed over the front lawn of a brick home in Katy, then ramming into a front room. The next shot shows the car encased in the home amid piles of crumbling plaster, split beams and bits of furniture.

The auto safety regulator, known as NHTSA, has launched several investigations into Tesla, including one late last year into 58 incidents in which Teslas reportedly violated traffic safety laws while using self-driving technology, leading to more than a dozen crashes and fires and nearly two dozen injuries.

A few months earlier, the NHTSA opened an investigation into why Tesla apparently had not been reporting crashes promptly as required.

As for special crash investigations, the NHTSA has opened 46 involving Teslas using self-driving or driver-assistance technology over the past decade, according to the agency's records. In more than a dozen of those crashes, at least one person — a driver, passenger or pedestrian — was killed.

Tesla stock fell sharply early last year as car sales plunged amid a boycott of Musk after he waded into politics, leading President Donald Trump's budget-cutting Department of Government Efficiency initiative and embracing European extremist candidates.

Musk has since shifted the Tesla story to one less about car sales and more about AI and robotaxis, and done so successfully. The stock is up 16% in the past year.

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