The Austin, Texas, company said it made $1.13 billion from January through March compared with $2.51 billion in the same period a year ago. Photo courtesy of Tesla

Tesla’s first-quarter net income plummeted 55 percent, but its stock price surged in after-hours trading Tuesday as the company said it would accelerate production of new, more affordable vehicles.

The Austin, Texas, company said it made $1.13 billion from January through March compared with $2.51 billion in the same period a year ago.

Investors and analysts were looking for some sign that Tesla will take steps to stem its stock's slide this year and grow sales. The company did that in a letter to investors Tuesday, saying that production of smaller, more affordable models will start ahead of previous guidance.

The smaller models, which apparently include the Model 2 small car that is expected to cost around $25,000, will use new generation vehicle underpinnings and some features of current models. The company said it would be built on the same manufacturing lines as its current products.

On a conference call with analysts, CEO Elon Musk said he expects production to start in the second half of next year “if not late this year.”

New factories or massive new production lines won't be needed for the new vehicles, Musk said.

“This update may result in achieving less cost reduction than previously expected but enables us to prudently grow our vehicle volumes in a more capex efficient manner during uncertain times,” the investor letter said.

But Musk gave few specifics on just what the new vehicles will be and whether they would be variants of current models. “I think we’ve said all we will on that front,” he told an analyst.

He did say that he expects Tesla to sell more vehicles this year than last year's 1.8 million.

The company also appears to be counting on a vehicle built to be a fully autonomous robotaxi as the catalyst for future earnings growth. Musk has said the robotaxi will be unveiled on Aug. 8.

Shares of Tesla rose 11 percent in trading after Tuesday’s closing bell, but they are down more than 40 percent this year. The S&P 500 index is up about 5 percent for the year.

Morningstar analyst Seth Goldstein said the company gave guidance about its future that was clearer than in the past, allaying investor concerns about production of the Model 2 and future growth. “I think for now we're likely to see the stock stabilize," he said. “I think Tesla provided an outlook today that can make investors feel more assured that management is righting the ship.”

But if sales fall again in the second quarter, the guidance will go out the window and concerns will return, he said.

Tesla reported that first-quarter revenue was $21.3 billion, down 9 percent from last year as worldwide sales dropped nearly 9 percent due to increased competition and slowing demand for electric vehicles.

Excluding one-time items such as stock-based compensation, Tesla made 45 cents per share, falling short of analyst estimates of 49 cents, according to FactSet.

The company’s gross profit margin, the percentage of revenue it gets to keep after expenses, fell once again to 17.4 percent. A year ago it was 19.3 percent, and it peaked at 29.1 percent in the first quarter of 2022.

Over the weekend, Tesla lopped $2,000 off the price of the Models Y, S and X in the U.S. and reportedly made cuts in other countries including China as global electric vehicle sales growth slowed. It also slashed the cost of “Full Self Driving” by one third to $8,000.

Tesla also announced last week that it would cut 10 percent of its 140,000 employees, and Chief Financial Officer Vaibhav Taneja said Tuesday the cuts will be across the board. Growth companies build up duplication that needs to be pruned like a tree to continue growing, he said.

Musk has been touting the robotaxi as a growth catalyst for Tesla since the hardware for it went on sale late in 2015.

In 2019, Musk promised a fleet of autonomous robotaxis by 2020 that would bring income to Tesla owners and make their car values appreciate. Instead, they've declined with price cuts, as the autonomous robotaxis have been delayed year after year while being tested by owners as the company gathers road data for its computers.

Neither Musk nor other Tesla executives on Tuesday's call would specify when they expect Tesla vehicles to drive themselves as well as humans do. Instead, Musk touted the latest version of Tesla’s autonomous driving software — which the company misleadingly brands as “Full Self Driving” despite the fact that it still requires human supervision — and said that “it’s only a matter of time before we exceed the reliability of humans, and not much time at that.”

It didn’t take the Tesla CEO long to begin expounding on the possibility of turning on self-driving capabilities for millions of Tesla vehicles at once, although again without estimating when that might actually occur. He went on to insist that “if somebody doesn’t believe that Tesla is going to solve autonomy, I think they should not be an investor in the company.”

Early last year the National Highway Traffic Safety Administration made Tesla recall its “Full Self-Driving” system because it can misbehave around intersections and doesn’t always follow speed limits. Tesla's less-sophisticated Autopilot system also was recalled to bolster its driver monitoring system.

Some experts don't think any system that relies solely on cameras like Tesla's can ever reach full autonomy.

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CultureMap Emails are Awesome

How Planckton Data is building the sustainability label every industry will need

now streaming

There’s a reason “carbon footprint” became a buzzword. It sounds like something we should know. Something we should measure. Something that should be printed next to the calorie count on a label.

But unlike calories, a carbon footprint isn’t universal, standardized, or easy to calculate. In fact, for most companies—especially in energy and heavy industry—it’s still a black box.

That’s the problem Planckton Data is solving.

On this episode of the Energy Tech Startups Podcast, Planckton Data co-founders Robin Goswami and Sandeep Roy sit down to explain how they’re turning complex, inconsistent, and often incomplete emissions data into usable insight. Not for PR. Not for green washing. For real operational and regulatory decisions.

And they’re doing it in a way that turns sustainability from a compliance burden into a competitive advantage.

From calories to carbon: The label analogy that actually works

If you’ve ever picked up two snack bars and compared their calorie counts, you’ve made a decision based on transparency. Robin and Sandeep want that same kind of clarity for industrial products.

Whether it’s a shampoo bottle, a plastic feedstock, or a specialty chemical—there’s now consumer and regulatory pressure to know exactly how sustainable a product is. And to report it.

But that’s where the simplicity ends.

Because unlike food labels, carbon labels can’t be standardized across a single factory. They depend on where and how a product was made, what inputs were used, how far it traveled, and what method was used to calculate the data.

Even two otherwise identical chemicals—one sourced from a refinery in Texas and the other in Europe—can carry very different carbon footprints, depending on logistics, local emission factors, and energy sources.

Planckton’s solution is built to handle exactly this level of complexity.

AI that doesn’t just analyze

For most companies, supply chain emissions data is scattered, outdated, and full of gaps.

That’s where Planckton’s use of AI becomes transformative.

  • It standardizes data from multiple suppliers, geographies, and formats.
  • It uses probabilistic models to fill in the blanks when suppliers don’t provide details.
  • It applies industry-specific product category rules (PCRs) and aligns them with evolving global frameworks like ISO standards and GHG Protocol.
  • It helps companies model decarbonization pathways, not just calculate baselines.

This isn’t generative AI for show. It’s applied machine learning with a purpose: helping large industrial players move from reporting to real action.

And it’s not a side tool. For many of Planckton’s clients, it’s becoming the foundation of their sustainability strategy.

From boardrooms to smokestacks: Where the pressure is coming from

Planckton isn’t just chasing early adopters. They’re helping midstream and upstream industrial suppliers respond to pressure coming from two directions:

  1. Downstream consumer brands—especially in cosmetics, retail, and CPG—are demanding footprint data from every input supplier.
  2. Upstream regulations—especially in Europe—are introducing reporting requirements, carbon taxes, and supply chain disclosure laws.

The team gave a real-world example: a shampoo brand wants to differentiate based on lower emissions. That pressure flows up the value chain to the chemical suppliers. Who, in turn, must track data back to their own suppliers.

It’s a game of carbon traceability—and Planckton helps make it possible.

Why Planckton focused on chemicals first

With backgrounds at Infosys and McKinsey, Robin and Sandeep know how to navigate large-scale digital transformations. They also know that industry specificity matters—especially in sustainability.

So they chose to focus first on the chemicals sector—a space where:

  • Supply chains are complex and often opaque.
  • Product formulations are sensitive.
  • And pressure from cosmetics, packaging, and consumer brands is pushing for measurable, auditable impact data.

It’s a wedge into other verticals like energy, plastics, fertilizers, and industrial manufacturing—but one that’s already showing results.

Carbon accounting needs a financial system

What makes this conversation unique isn’t just the product. It’s the co-founders’ view of the ecosystem.

They see a world where sustainability reporting becomes as robust as financial reporting. Where every company knows its Scope 1, 2, and 3 emissions the way it knows revenue, gross margin, and EBITDA.

But that world doesn’t exist yet. The data infrastructure isn’t there. The standards are still in flux. And the tooling—until recently—was clunky, manual, and impossible to scale.

Planckton is building that infrastructure—starting with the industries that need it most.

Houston as a launchpad (not just a legacy hub)

Though Planckton has global ambitions, its roots in Houston matter.

The city’s legacy in energy and chemicals gives it a unique edge in understanding real-world industrial challenges. And the growing ecosystem around energy transition—investors, incubators, and founders—is helping companies like Planckton move fast.

“We thought we’d have to move to San Francisco,” Robin shares. “But the resources we needed were already here—just waiting to be activated.”

The future of sustainability is measurable—and monetizable

The takeaway from this episode is clear: measuring your carbon footprint isn’t just good PR—it’s increasingly tied to market access, regulatory approval, and bottom-line efficiency.

And the companies that embrace this shift now—using platforms like Planckton—won’t just stay compliant. They’ll gain a competitive edge.

Listen to the full conversation with Planckton Data on the Energy Tech Startups Podcast:

Hosted by Jason Ethier and Nada Ahmed, the Digital Wildcatters’ podcast, Energy Tech Startups, delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.


Gold H2 harvests clean hydrogen from depleted California reservoirs in first field trial

breakthrough trial

Houston climatech company Gold H2 completed its first field trial that demonstrates subsurface bio-stimulated hydrogen production, which leverages microbiology and existing infrastructure to produce clean hydrogen.

Gold H2 is a spinoff of another Houston biotech company, Cemvita.

“When we compare our tech to the rest of the stack, I think we blow the competition out of the water," Prabhdeep Singh Sekhon, CEO of Gold H2 Sekhon previously told Energy Capital.

The project represented the first-of-its-kind application of Gold H2’s proprietary biotechnology, which generates hydrogen from depleted oil reservoirs, eliminating the need for new drilling, electrolysis or energy-intensive surface facilities. The Woodlands-based ChampionX LLC served as the oilfield services provider, and the trial was conducted in an oilfield in California’s San Joaquin Basin.

According to the company, Gold H2’s technology could yield up to 250 billion kilograms of low-carbon hydrogen, which is estimated to provide enough clean power to Los Angeles for over 50 years and avoid roughly 1 billion metric tons of CO2 equivalent.

“This field trial is tangible proof. We’ve taken a climate liability and turned it into a scalable, low-cost hydrogen solution,” Sekhon said in a news release. “It’s a new blueprint for decarbonization, built for speed, affordability, and global impact.”

Highlights of the trial include:

  • First-ever demonstration of biologically stimulated hydrogen generation at commercial field scale with unprecedented results of 40 percent H2 in the gas stream.
  • Demonstrated how end-of-life oilfield liabilities can be repurposed into hydrogen-producing assets.
  • The trial achieved 400,000 ppm of hydrogen in produced gases, which, according to the company,y is an “unprecedented concentration for a huff-and-puff style operation and a strong indicator of just how robust the process can perform under real-world conditions.”
  • The field trial marked readiness for commercial deployment with targeted hydrogen production costs below $0.50/kg.

“This breakthrough isn’t just a step forward, it’s a leap toward climate impact at scale,” Jillian Evanko, CEO and president at Chart Industries Inc., Gold H2 investor and advisor, added in the release. “By turning depleted oil fields into clean hydrogen generators, Gold H2 has provided a roadmap to produce low-cost, low-carbon energy using the very infrastructure that powered the last century. This changes the game for how the world can decarbonize heavy industry, power grids, and economies, faster and more affordably than we ever thought possible.”

Rice University spinout lands $500K NSF grant to boost chip sustainability

cooler computing

HEXAspec, a spinout from Rice University's Liu Idea Lab for Innovation and Entrepreneurship, was recently awarded a $500,000 National Science Foundation Partnership for Innovation grant.

The team says it will use the funding to continue enhancing semiconductor chips’ thermal conductivity to boost computing power. According to a release from Rice, HEXAspec has developed breakthrough inorganic fillers that allow graphic processing units (GPUs) to use less water and electricity and generate less heat.

The technology has major implications for the future of computing with AI sustainably.

“With the huge scale of investment in new computing infrastructure, the problem of managing the heat produced by these GPUs and semiconductors has grown exponentially. We’re excited to use this award to further our material to meet the needs of existing and emerging industry partners and unlock a new era of computing,” HEXAspec co-founder Tianshu Zhai said in the release.

HEXAspec was founded by Zhai and Chen-Yang Lin, who both participated in the Rice Innovation Fellows program. A third co-founder, Jing Zhang, also worked as a postdoctoral researcher and a research scientist at Rice, according to HEXAspec's website.

The HEXASpec team won the Liu Idea Lab for Innovation and Entrepreneurship's H. Albert Napier Rice Launch Challenge in 2024. More recently, it also won this year's Energy Venture Day and Pitch Competition during CERAWeek in the TEX-E student track, taking home $25,000.

"The grant from the NSF is a game-changer, accelerating the path to market for this transformative technology," Kyle Judah, executive director of Lilie, added in the release.

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This article originally ran on InnovationMap.