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A Lyft tent for recruiting drivers outside a Jiffy Lube (Smith Collection/Getty Images)

Have gig economy companies ended their money-losing streak?

Lyft and DoorDash just reported their first years with net profits. Instacart is likely next.

For a long time, it was unclear when or whether gig economy companies could actually make money. Not anymore.

After racking up hundreds of millions in losses since going public more than four years ago, DoorDash just reported $123 million of net income for 2024. Lyft, an early entrant to the rideshare scene, also just eked out a $23 million profit, its first full year of profitability ever.

Next up is likely Instacart. It has reported three consecutive profitable quarters in 2024 and is set to report its Q4 results on February 25. Analysts polled by FactSet expect the company to report making $419 million of net income in 2024, compared to a $1.6 billion loss in 2023.

Uber — which offers rides and food delivery, making it a common rival of both Lyft and DoorDash — had its first profitable year in 2023. So did Airbnb, the gig economy’s short-term home rental platform.

After years of waiting, the gig economy is finally paying off. The game plan for these companies has essentially been to ride out the pain of high debt and operating costs, sometimes heavily subsidizing operations with discounts, until their platforms become so ubiquitous that the revenue starts to make up for it.

And now it’s happening: consumers spent more than $250 billion on Uber, Lyft, and DoorDash combined in 2024. (The companies’ revenue, of course, is smaller because a chunk of that money goes to the restaurants or the drivers.)

A previous version of this article misstated the year when DoorDash went public.

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OpenAI is shipping everything. Anthropic is perfecting one thing.

The two AI titans are in a race to grow revenues, but they have very different strategies for releasing products. And one approach appears to be winning out.

73%

Here’s another sign Anthropic’s enterprise tools are killing it: The AI firm now captures 73% of all spending among companies buying AI tools for the first time, Axios reports, citing data from Ramp, a fintech company that provides corporate cards and expense management software. That’s up from 50% in January, when it was tied with OpenAI.

As we’ve noted, Big Tech is pivoting from experimentation to revenue — and enterprise is where that shift is playing out.

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Microsoft considers suing Amazon and OpenAI over $50 billion deal

Microsoft may be about to take its biggest AI partner to court, the Financial Times reports.

Microsoft, a longtime backer of OpenAI, is weighing legal action over the latter’s $50 billion deal with Amazon tied to its new Frontier AI product, arguing it could violate a key clause in their exclusive cloud deal requiring OpenAI’s models to run through Azure. Amazon and OpenAI say they’ve found a workaround. Microsoft executives disagree.

“We know our contract,” a source told the FT. “We will sue them if they breach it. If Amazon and OpenAI want to take a bet on the creativity of their contractual lawyers, I would back us, not them.”

OpenAI, which is eyeing an IPO this year and under pressure to generate more revenue, is trying to loosen Microsoft’s grip as it scales, while Microsoft increasingly sees OpenAI as both a partner and competitor.

“We know our contract,” a source told the FT. “We will sue them if they breach it. If Amazon and OpenAI want to take a bet on the creativity of their contractual lawyers, I would back us, not them.”

OpenAI, which is eyeing an IPO this year and under pressure to generate more revenue, is trying to loosen Microsoft’s grip as it scales, while Microsoft increasingly sees OpenAI as both a partner and competitor.

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Morgan Stanley says robotaxis could help Tesla sell more cars

Morgan Stanley analysts think Tesla’s robotaxi push could boost more than just a new business line — it could help sell more cars and software, too.

After visiting Giga Texas, analysts said they’re more optimistic about Tesla’s progress toward an unsupervised robotaxi rollout, with improvements in tricky pickup and drop-off scenarios where Tesla doesn’t have as much data from consumer usage. For now, the vast majority of its vehicles still have human supervisors in the front seat, but the analysts say the service is helping Tesla.

“Incremental unsupervised robotaxi miles driven improve the underlying autonomy model, which accelerates the path to personal unsupervised FSD [Full Self-Driving]. This, in turn supports higher FSD attach rates, improves auto demand, and cash flow generation.”

In other words, the more robotaxis drive, the better Tesla’s self-driving gets — and that could make its Full Self-Driving software more appealing and its cars easier to sell, in addition to improving its robotaxi service. Note that Tesla’s vehicle deliveries, which accounts for the lion’s share of the company’s revenue, have dropped two years in a row.

Morgan Stanley also sees a cost advantage. It estimates Tesla’s robotaxis could cost about $0.81 per mile to run today — cheaper than traditional ride-hailing and rival autonomous services — with costs falling further as purpose-built vehicles like the Cybercab scale.

Morgan Stanley maintained its equal-weight rating and $415 price target, about 4% above where the stock is currently trading.

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