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Drive Capital’s second act –  how the Columbus venture firm found success after a split | TechCrunch

Drive Capital’s second act –  how the Columbus venture firm found success after a split | TechCrunch

The venture capital world has always had a hot-and-cold relationship with the Midwest. Investors rush in during boom times, then retreat to the coasts when markets turn sour. For Columbus, Ohio-based Drive Capital, this cycle of attention and disinterest played out against the backdrop of its own internal upheaval several years ago — a co-founder split that could have ended the firm but may have ultimately strengthened it.

At a minimum, Drive achieved something newsworthy in today’s venture landscape this past May. The firm returned $500 million to investors in a single week, distributing nearly $140 million worth of Root Insurance shares within days of cashing out of Austin-based Thoughtful Automation and another undisclosed company.

It could be seen as a gimmick, sure, but limited partners were presumably pleased. “I’m unaware of any other venture firm having been able to achieve that kind of liquidity recently,” said Chris Olsen, Drive’s co-founder and now sole managing partner, who spoke to TechCrunch from the firm’s offices in Columbus’s Short North neighborhood.

It’s a meaningful turnaround for a firm that faced existential questions just three years ago when Olsen and his co-founder Mark Kvamme — both former Sequoia Capital partners — went their separate ways. The split, which surprised the firm’s investors, saw Kvamme eventually launch the Ohio Fund, a broader investment vehicle focused on the state’s economic development that includes real estate, infrastructure, and manufacturing alongside technology investments.

Drive’s recent success stems from what Olsen calls a deliberately contrarian strategy in an industry preoccupied with “unicorns” and “decacorns” — companies valued at $1 billion and $10 billion, respectively.

“If you were to just read the newspapers or listen to coffee shops on Sand Hill Road, everyone always talks about the $50 billion or $100 billion outcomes,” Olsen said. “But the reality is, while those outcomes do happen, they’re really rare. In the last 20 years, there have only been 12 outcomes in America over $50 billion.”

By contrast, he noted, there have been 127 IPOs at $3 billion or more, plus hundreds of M&A events at that level. “If you’re able to exit companies at $3 billion, then you’re able to do something that happens every single month,” he said.

That rationale underpinned the Thoughtful Automation exit, which Olsen described as “near fund-returning” despite being “below a billion dollars.” The AI healthcare automation company was sold to private equity firm New Mountain Capital, which combined it with two other companies to form Smarter Technologies. Drive owned “multiples” of the typical Silicon Valley ownership stake in the company, said Olsen, who added that Drive’s typical ownership stake is around 30% on average compared to a Valley firm’s 10% — often because it is the sole venture investor across numerous funding rounds.

“We were the only venture firm who invested in that company,” Olsen said of Thoughtful Automation, which was previously backed by New Mountain, the PE firm. “About 20% of the companies in our portfolio today, we are the sole venture firm in those businesses.”

Portfolio Wins and Losses

Drive’s track record includes both big successes and also big stumbles. The firm was an early investor in Duolingo, backing the language-learning platform when it was pre-revenue after Olsen and Kvamme met founder Luis von Ahn at a bar in Pittsburgh, where Duolingo is based. Today, Duolingo trades on NASDAQ with a market cap of nearly $18 billion.

The firm also invested in Vast Data, a data storage platform last valued at $9 billion in late 2023 (and is reportedly fundraising right now), and Drive made money on the recent Root Insurance distribution despite that company’s rocky public market performance since its late 2020 IPO.

But Drive also experienced the spectacular failure of Olive AI, a Columbus-based healthcare automation startup that raised over $900 million and was valued at $4 billion before eventually selling portions of its business in a fire sale.

What sets Drive apart in both cases, Olsen argues, is its focus on companies building outside Silicon Valley’s hyper-competitive ecosystem. Toward that end, the firm now has employees in six cities — Columbus, Austin, Boulder, Chicago, Atlanta, and Toronto — and says it backs founders who would otherwise face a choice between building near their customers or their investors.

It’s Drive’s secret sauce, he suggests. “Early-stage companies that are based outside of Silicon Valley have a higher bar. They have to be a better business to garner a venture investment from a venture firm in Silicon Valley,” Olsen said. “The same thing applies to us with companies in Silicon Valley. For us to invest in a company in Silicon Valley, it has a higher bar.”

It applies a different lens, seemingly. While many VCs chase companies trying to come up with something entirely novel, Drive has a penchant for startups applying tech to traditional industries. Drive has invested in an autonomous welding company, for example, and what Olsen calls “next-generation dental insurance” — sectors that arguably represent America’s $18 trillion economy beyond Silicon Valley’s tech darlings.

Whether that focus, or Drive’s momentum, translates into a big new fund for Drive remains to be seen. The firm is currently managing assets that it raised when Kvamme was still on board, and according to Olsen, it has 30% left to invest of its current fund, a $1 billion vehicle announced in June 2022.

Asked about cash-on-cash returns to date, Olsen said that with $2.2 billion in assets under management across all of Drive’s funds, all are “top quartile funds” with “north of 4x net on our most mature funds” and “continuing to grow from there.”

In the meantime, Drive’s thesis about Columbus as a legitimate tech hub received further validation this week when Palmer Luckey, Peter Thiel, and other tech billionaires announced plans to launch Erebor, a crypto-focused bank headquartered in Columbus.

“When we started Drive in 2012, people thought we were nuts,” Olsen said. “Now you’re seeing literally the people I think of as being the smartest minds in technology — whether it’s Elon Musk or Larry Ellison or Peter Thiel — moving out of Silicon Valley and opening massive presences in different cities.”

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#Drive #Capitals #act #Columbus #venture #firm #success #split #TechCrunch

We’re retiring our oldest plans, some of which were built nearly 15 years ago – in the 3G and 4G eras, and well before our 5G network was fully deployed. Customers will transition to modern plans that provide access to America’s best wireless technology, enhanced features and a 5-year price guarantee for peace of mind. Some customers will see no change to their monthly bill, while some will see a modest adjustment. Every customer moved to a new plan will keep their current benefits while gaining improvements in network and service experiences.

#TMobile #booting #customers #oldest #plans5G,Mobile,Sprint,T-Mobile,Tech">T-Mobile is booting customers from its oldest plansWe’re retiring our oldest plans, some of which were built nearly 15 years ago – in the 3G and 4G eras, and well before our 5G network was fully deployed. Customers will transition to modern plans that provide access to America’s best wireless technology, enhanced features and a 5-year price guarantee for peace of mind. Some customers will see no change to their monthly bill, while some will see a modest adjustment. Every customer moved to a new plan will keep their current benefits while gaining improvements in network and service experiences.#TMobile #booting #customers #oldest #plans5G,Mobile,Sprint,T-Mobile,Tech
AI-related job loss fears grow each time another company announces a round of layoffs. Through May of 2026, companies announced that close to 90,000 job cuts were tied to AI, and, by some accounts, up to 15% of U.S. jobs are projected to be eliminated by AI over the next five years. Promises from the tech industry that AI will also create new jobs does little to ease fears, especially for the generation wondering if anyone will be hiring when they graduate. 

A recent report from Ramp and Revelio Labs, which track enterprise AI spend and workforce records from nearly 22,000 companies, respectively, complicates that gloomy narrative. 

The report found that companies spending heavily on AI are growing headcount faster, even in the entry-level roles that many fear are doomed. According to the report, “high-intensity adopters” — firms that spend on average $30 per employee per month on AI in the first three months — saw headcount increase 10.2%.

Headcount also rose across functions, including engineering, sales, administration, customer service, finance, marketing, and scientist roles. The strongest job growth among high-intensity adopters was in the information sector, which includes software, internet, media, and tech-adjacent firms. 

Despite these positive signals, the data isn’t as rosy as it seems. It skews heavily towards tech-forward, knowledge-work firms — ones that might have VC-backing and are growing fast anyway, making it difficult to say whether AI is contributing to the hiring or just showing up at companies that are expanding anyway.

“This paper does not show that AI universally creates jobs,” the paper’s authors admit, “but it does counter claims that AI will lead to broad job losses.”

It also counters claims that AI is killing all junior jobs. Recent research from Goldman Sachs found that AI has already erased about 16,000 net jobs per month over the past year, with Gen Z and entry level workers taking the brunt of the burden. But in tech-forward firms, the report finds that entry-level headcount actually rose by 12%.

So what can we take away from this? Perhaps that AI isn’t always a tool for labor substitution, but that it can be a tool for firm-expansion instead. 

“For software and technology firms, AI can make core output cheaper or faster to produce: writing code, debugging, building internal tools, producing technical documentation, and supporting product development,” the report reads. “Lower production costs in these workflows can raise the return to expanding the whole firm, not just the engineering team.”

But companies that buy subscriptions and run pilots, yet did not go on to make sustained investments, don’t tend to see any gains in headcount, per the report. 

That sets up the potential for a widening gap between firms that have the resources — like capital, technical staff, founder networks, and management bandwidth — to turn AI adoption into actual business gains and those that are stuck experimenting with subscriptions. In other words, this report suggests that firms that already have the resources are the ones who will see the largest gains. 

The paper’s authors speculate such a divide may continue to grow, saying: “Firms without those channels may fall behind.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#jobs #debate #messier #TechCrunchRamp,ai job loss,revelio labs">The AI jobs debate just got messier | TechCrunch
AI-related job loss fears grow each time another company announces a round of layoffs. Through May of 2026, companies announced that close to 90,000 job cuts were tied to AI, and, by some accounts, up to 15% of U.S. jobs are projected to be eliminated by AI over the next five years. Promises from the tech industry that AI will also create new jobs does little to ease fears, especially for the generation wondering if anyone will be hiring when they graduate. 

A recent report from Ramp and Revelio Labs, which track enterprise AI spend and workforce records from nearly 22,000 companies, respectively, complicates that gloomy narrative. 







The report found that companies spending heavily on AI are growing headcount faster, even in the entry-level roles that many fear are doomed. According to the report, “high-intensity adopters” — firms that spend on average  per employee per month on AI in the first three months — saw headcount increase 10.2%. 

Headcount also rose across functions, including engineering, sales, administration, customer service, finance, marketing, and scientist roles. The strongest job growth among high-intensity adopters was in the information sector, which includes software, internet, media, and tech-adjacent firms. 

Despite these positive signals, the data isn’t as rosy as it seems. It skews heavily towards tech-forward, knowledge-work firms — ones that might have VC-backing and are growing fast anyway, making it difficult to say whether AI is contributing to the hiring or just showing up at companies that are expanding anyway.

“This paper does not show that AI universally creates jobs,” the paper’s authors admit, “but it does counter claims that AI will lead to broad job losses.”

It also counters claims that AI is killing all junior jobs. Recent research from Goldman Sachs found that AI has already erased about 16,000 net jobs per month over the past year, with Gen Z and entry level workers taking the brunt of the burden. But in tech-forward firms, the report finds that entry-level headcount actually rose by 12%.


So what can we take away from this? Perhaps that AI isn’t always a tool for labor substitution, but that it can be a tool for firm-expansion instead. 

“For software and technology firms, AI can make core output cheaper or faster to produce: writing code, debugging, building internal tools, producing technical documentation, and supporting product development,” the report reads. “Lower production costs in these workflows can raise the return to expanding the whole firm, not just the engineering team.”

But companies that buy subscriptions and run pilots, yet did not go on to make sustained investments, don’t tend to see any gains in headcount, per the report. 







That sets up the potential for a widening gap between firms that have the resources — like capital, technical staff, founder networks, and management bandwidth — to turn AI adoption into actual business gains and those that are stuck experimenting with subscriptions. In other words, this report suggests that firms that already have the resources are the ones who will see the largest gains. 

The paper’s authors speculate such a divide may continue to grow, saying: “Firms without those channels may fall behind.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#jobs #debate #messier #TechCrunchRamp,ai job loss,revelio labs

announces a round of layoffs. Through May of 2026, companies announced that close to 90,000 job cuts were tied to AI, and, by some accounts, up to 15% of U.S. jobs are projected to be eliminated by AI over the next five years. Promises from the tech industry that AI will also create new jobs does little to ease fears, especially for the generation wondering if anyone will be hiring when they graduate. 

A recent report from Ramp and Revelio Labs, which track enterprise AI spend and workforce records from nearly 22,000 companies, respectively, complicates that gloomy narrative. 

The report found that companies spending heavily on AI are growing headcount faster, even in the entry-level roles that many fear are doomed. According to the report, “high-intensity adopters” — firms that spend on average $30 per employee per month on AI in the first three months — saw headcount increase 10.2%.

Headcount also rose across functions, including engineering, sales, administration, customer service, finance, marketing, and scientist roles. The strongest job growth among high-intensity adopters was in the information sector, which includes software, internet, media, and tech-adjacent firms. 

Despite these positive signals, the data isn’t as rosy as it seems. It skews heavily towards tech-forward, knowledge-work firms — ones that might have VC-backing and are growing fast anyway, making it difficult to say whether AI is contributing to the hiring or just showing up at companies that are expanding anyway.

“This paper does not show that AI universally creates jobs,” the paper’s authors admit, “but it does counter claims that AI will lead to broad job losses.”

It also counters claims that AI is killing all junior jobs. Recent research from Goldman Sachs found that AI has already erased about 16,000 net jobs per month over the past year, with Gen Z and entry level workers taking the brunt of the burden. But in tech-forward firms, the report finds that entry-level headcount actually rose by 12%.

So what can we take away from this? Perhaps that AI isn’t always a tool for labor substitution, but that it can be a tool for firm-expansion instead. 

“For software and technology firms, AI can make core output cheaper or faster to produce: writing code, debugging, building internal tools, producing technical documentation, and supporting product development,” the report reads. “Lower production costs in these workflows can raise the return to expanding the whole firm, not just the engineering team.”

But companies that buy subscriptions and run pilots, yet did not go on to make sustained investments, don’t tend to see any gains in headcount, per the report. 

That sets up the potential for a widening gap between firms that have the resources — like capital, technical staff, founder networks, and management bandwidth — to turn AI adoption into actual business gains and those that are stuck experimenting with subscriptions. In other words, this report suggests that firms that already have the resources are the ones who will see the largest gains. 

The paper’s authors speculate such a divide may continue to grow, saying: “Firms without those channels may fall behind.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#jobs #debate #messier #TechCrunchRamp,ai job loss,revelio labs">The AI jobs debate just got messier | TechCrunch

AI-related job loss fears grow each time another company announces a round of layoffs. Through May of 2026, companies announced that close to 90,000 job cuts were tied to AI, and, by some accounts, up to 15% of U.S. jobs are projected to be eliminated by AI over the next five years. Promises from the tech industry that AI will also create new jobs does little to ease fears, especially for the generation wondering if anyone will be hiring when they graduate. 

A recent report from Ramp and Revelio Labs, which track enterprise AI spend and workforce records from nearly 22,000 companies, respectively, complicates that gloomy narrative. 

The report found that companies spending heavily on AI are growing headcount faster, even in the entry-level roles that many fear are doomed. According to the report, “high-intensity adopters” — firms that spend on average $30 per employee per month on AI in the first three months — saw headcount increase 10.2%.

Headcount also rose across functions, including engineering, sales, administration, customer service, finance, marketing, and scientist roles. The strongest job growth among high-intensity adopters was in the information sector, which includes software, internet, media, and tech-adjacent firms. 

Despite these positive signals, the data isn’t as rosy as it seems. It skews heavily towards tech-forward, knowledge-work firms — ones that might have VC-backing and are growing fast anyway, making it difficult to say whether AI is contributing to the hiring or just showing up at companies that are expanding anyway.

“This paper does not show that AI universally creates jobs,” the paper’s authors admit, “but it does counter claims that AI will lead to broad job losses.”

It also counters claims that AI is killing all junior jobs. Recent research from Goldman Sachs found that AI has already erased about 16,000 net jobs per month over the past year, with Gen Z and entry level workers taking the brunt of the burden. But in tech-forward firms, the report finds that entry-level headcount actually rose by 12%.

So what can we take away from this? Perhaps that AI isn’t always a tool for labor substitution, but that it can be a tool for firm-expansion instead. 

“For software and technology firms, AI can make core output cheaper or faster to produce: writing code, debugging, building internal tools, producing technical documentation, and supporting product development,” the report reads. “Lower production costs in these workflows can raise the return to expanding the whole firm, not just the engineering team.”

But companies that buy subscriptions and run pilots, yet did not go on to make sustained investments, don’t tend to see any gains in headcount, per the report. 

That sets up the potential for a widening gap between firms that have the resources — like capital, technical staff, founder networks, and management bandwidth — to turn AI adoption into actual business gains and those that are stuck experimenting with subscriptions. In other words, this report suggests that firms that already have the resources are the ones who will see the largest gains. 

The paper’s authors speculate such a divide may continue to grow, saying: “Firms without those channels may fall behind.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#jobs #debate #messier #TechCrunchRamp,ai job loss,revelio labs

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