Houston oil giant ConocoPhillips will lay off up to 25% of workforce

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ConocoPhillips' lay offs could impact thousands of jobs. ConocoPhillips/Facebook

Oil giant ConocoPhillips is planning to lay off up to a quarter of its workforce, amounting to thousands of jobs, as part of broader efforts from the company to cut costs.

A spokesperson for ConocoPhillips confirmed the layoffs on Wednesday, September 3, noting that 20% to 25% of the company's employees and contractors would be impacted worldwide. ConocoPhillips currently has a global headcount of about 13,000 — meaning that the cuts would impact between 2,600 and 3,250 workers.

“We are always looking at how we can be more efficient with the resources we have,” a ConocoPhillips' spokesperson said via email, adding that the company expects the “majority of these reductions” to take place before the end of 2025.

ConocoPhillips' shares fell 4.3% last week. The Houston-based company's stock now sits at under $95 per share, down nearly 14% from a year ago.

News of the coming layoffs was first reported by Reuters, with anonymous sources telling the outlet that CEO Ryan Lance detailed the plans in a video message earlier Wednesday. In that video, Reuters reported, Lance said the company needed “fewer roles” while he cited rising costs.

Last month, ConocoPhillips reported second-quarter earnings of $1.97 billion. That beat Wall Street expectations, but was down from the nearly $2.33 billion the company reported for the same period last year.

In its latest earnings, reported on August 7, ConocoPhillips continued to point to cost cutting efforts — noting that it had identified more than $1 billion in cost reductions and margin optimization. The company also said it had agreed to sell its Anadarko Basin assets for $1.3 billion.

The layoffs could affect about 14,000 of the 140,473 workers employed by the Austin, Texas, company at the end of last year. Photo courtesy of Tesla

Tesla plans to lay off 10 percent of workforce after dismal quarterly sales

making cuts

After reporting dismal first-quarter sales, Tesla is planning to lay off about a tenth of its workforce as it tries to cut costs, multiple media outlets reported Monday.

CEO Elon Musk detailed the plans in a memo sent to employees. The layoffs could affect about 14,000 of the 140,473 workers employed by the Austin, Texas, company at the end of last year.

Musk's memo said that as Tesla prepares for its next phase of growth, “it is extremely important to look at every aspect of the company for cost reductions and increasing productivity,” The New York Times and CNBC reported. News of the layoffs was first reported by electric vehicle website Electrek.

Also Monday, two key Tesla executives announced on the social media platform X that they are leaving the company. Andrew Baglino, senior vice president of powertrain and energy engineering, wrote that he had made the decision to leave after 18 years with the company.

Rohan Patel, senior global director of public policy and business development, also wrote on X that he was leaving Tesla, after eight years.

Baglino, who held several top engineering jobs at the company and was chief technology officer, wrote that the decision to leave was difficult. “I loved tackling nearly every problem we solved as a team and feel gratified to have contributed to the mission of accelerating the transition to sustainable energy,” he wrote.

He has no concrete plans beyond spending more time with family and his young children, but wrote that he has difficulty staying still for long.

Musk thanked Baglino in a reply. “Few have contributed as much as you,” he wrote.

Shares of Tesla fell 4.8 percent Monday afternoon, hours after news of the layoffs and departures broke. Shares of Tesla Inc. have lost about one-third of their value so far this year as sales of electric vehicles soften.

Tesla sales fell sharply last quarter as competition increased worldwide, electric vehicle sales growth slowed, and price cuts failed to draw more buyers. The company said it delivered 386,810 vehicles from January through March, nearly 9 percent below the 423,000 it sold in the same quarter of last year.

Since last year, Tesla has cut prices as much as $20,000 on some models as it faced increasing competition and slowing demand. The price cuts caused used electric vehicle values to drop and clipped Tesla's profit margins.

The company has said it will reveal an autonomous robotaxi at an event in August.

Here's what you should consider if you need to make cuts to your business — now or in the future. Photo via Getty Images

4 layoff alternatives energy businesses should consider in a downturn, according to this Houston expert

guest column

Preparing for a potential economic downturn can be unsettling for employers and employees. As payroll is typically one of the largest expenditures for a business, no matter its size, layoffs seem like the quickest fix. While this may offer short-term relief, they can severely impact operations and workplace culture.

When staff is reduced, culture can suffer. Employee morale can decrease and distrust may build, especially if layoffs are not communicated properly. This can lead to the remaining employees feeling anxious about their own future with the organization and spur them to look for employment elsewhere, which can affect an organization’s overall productivity and day-to-day operations.

Business owners should get creative and consider the impact and the many alternatives before resorting to workforce reductions.

Analyze salaries

If the organization’s downturn is short-term, senior leadership and upper management could accept temporary salary reductions until business improves. However, if the situation is more dire, leaders might consider an option such as cutting overhead with job sharing. Employee numbers then remain the same, but two positions become one and it is filled by two part-time employees to support a function or role. Furloughs for non-essential employees give employers time to consider if permanent layoffs are necessary. Of course, this requires an understanding of each performers contribution within the organization to determine overall impact and level of “necessity.”

Look at schedules

Permanent remote work could save on operating costs, such as leases and travel expenses, which gives more budgetary leeway to avoid layoffs. Another approach is implementing a four-day workweek to reduce hours and salaries by 20 percent. The added benefit to a shortened workweek is better employee work-life balance.

Scale Back Benefits

When finances are in a critical state, and leadership is looking to avoid layoffs, employers can scale benefits and perks for all employees. Temporarily pausing the 401(k) match, relying more on virtual business meetings instead of incurring travel expenses, and cutting employee bonuses can help ease the economic burden without letting people go. As with salary reductions, scaling back on benefits should begin with leadership before expanding to others.

Streamline Systems

When auditing the company, employers should also evaluate company processes and workflows for efficiency. It’s possible an employee could be more productive in a different role or a process may be found to be more laborious than necessary. Digital software is another alternative to help streamline systems. Employee feedback is another great resource to help identify gaps and streamline processes. A good practice is to have performers look for ways to make tasks within their role more efficient and productive.

Every decision has its costs. The most important thing employers can do is to be open and honest with employees, including transparency about the state of business. This communication style can increase employee buy-in during economic uncertainty and encourage employees to rally and be part of the resiliency of the organization.

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Karen Leal is a performance specialist with Houston-based Insperity, a provider of human resources offering a suite of scalable HR solutions available in the marketplace.

This article originally ran on InnovationMap.

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Houston companies advance 200MW green ammonia plant in South Texas

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Two global companies with a major presence in Houston are teaming up on a green ammonia plant in Port of Victoria, Texas.

Topsoe, a Danish company with operations in Houston and Bayport, Texas, has been tapped to provide ammonia synthesis technology for the project being developed by First Ammonia, a New York-based company with offices in Houston and Denmark.

The flagship 200-megawatt plant will use renewable electricity to produce green hydrogen through electrolysis, which will then be combined with nitrogen from a nearby Air Liquide pipeline to make green ammonia, according to First Ammonia. It is expected to serve both U.S. and global markets.

According to First Ammonia, every 100,000 tons of electric ammonia produced avoids approximately 240,000 tons of CO2 emissions compared to fossil ammonia

The Topsoe technology used on site is designed to be able to increase production from 10 percent to 100 percent within 30 minutes, and decrease production at a similar rate, allowing the plant to respond to fluctuations from solar- or wind-based energy sources.

“Topsoe is the world leader in ammonia synthesis, and First Ammonia is delighted to continue our partnership with them in establishing a green ammonia industry in the US and around the world,” Joel Moser, CEO of First Ammonia, said in a news release.

Topsoe has previously signed on to supply its 100-megawatt solid oxide electrolyser (SOEC) to the First Ammonia project. However, the company announced in March that it did not extend the contract after multiple delays.

The First Ammonia project was originally expected to come online by 2027 and to produce 1.1 million tonnes of green ammonia. The project is now expected to reach financial before the end of 2026, with construction slated to begin in 2027 and commercial operations launching by 2029.

“As green ammonia projects move from ambition to execution, operational flexibility becomes increasingly important,” Yassir Ghiyati, chief commercial officer at Topsoe, added in a news release. “We’re proud to support First Ammonia with technology designed to enable efficient and reliable green ammonia production. We look forward to continuing to work with the First Ammonia team to help bring this important U.S project to life.”

NASA and Houston researcher tackle climate-driven water quality risks

water watch

Climate change means far more to public health than living with hotter days. Transformations in our weather are contributing to challenges in accessing safe drinking water in some communities.

One of the most dire situations is along the US–Mexico border. The National Aeronautics and Space Administration (NASA) is seeking to address that issue with its Water Quality Applications program. An 11-researcher project led by a UTHealth Houston School of Public Health faculty member has been selected to participate.

“Drinking water is one of the most fundamental public health protections, but producing safe drinking water involves a delicate balance,” Yun Hang, assistant professor of environmental and occupational health sciences, said in a news release. Her team’s proposal was one of 93 that were submitted for funding through NASA’s Research Opportunities in Space and Earth Sciences (ROSES)-2025 program.

This is the first time that NASA has worked with a team devoted to water quality applications. The group, which includes researchers from across the nation, will use satellite observations of Earth, as well as hydrologic modeling, to potentially anticipate and act on water quality conditions as they change. Challenges addressed over the course of the three-year program, which kicked off in June, might include problems with water quality due to climate variability and increased pressure on water resources.

Hang’s team will focus on a pair of borderlands: Paso del Norte and the Rio Grande Valley.

“Working closely with El Paso Water ensures that our research addresses real operational needs while helping utilities better prepare for climate-related water quality changes and continue providing safe drinking water to communities across the Texas border region,” Hang added in the release.

She and the team will use data gathered by NASA on both past and future Earth-observing missions, which will allow them to track environmental changes that may affect source water quality. Combined with past water treatment records and hydrologic models, the team will also utilize artificial intelligence to develop predictive tools that aim to stop issues before they become larger hurdles to water safety.

Another one of the project’s goals is to create visualization tools and source water summaries that can be utilized by those without scientific expertise. The tools will be produced in English and Spanish to further broaden their accessibility.

The hope is that the materials made by the team will also go far beyond the border, with protocols that can be adapted or adopted by other areas dealing with water quality issues.

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This article originally appeared on our sister site, InnovationMap.com.

New research reveals what really drives data center location decisions

Guest Column

Recent power 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 evolving 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.

Published 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.

Key takeaways:

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.

What are the two main data center 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.

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

“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.”

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.

Why does distance matter for cloud data center costs?

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,” Strategy Science.

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