Tesla Talk

Tesla sales tumble 13% as Musk backlash, competition and aging lineup turn off buyers

Tesla sales are down to start the year. Getty Images

Tesla sales fell 13% in the first three months of the year, another sign that Elon Musk’s once high-flying electric car company is struggling to attract buyers.

The double-digit drop is likely due to a combination of factors, including its aging lineup, competition from rivals and a backlash from Musk’s embrace of right wing politics. It also is a warning that the company’s first-quarter earnings report later this month could disappoint investors.

Tesla reported deliveries of 336,681 globally in the January to March quarter. The figure was down from sales of 387,000 in the same period a year ago. The decline came despite deep discounts, zero financing and other incentives.

Analysts polled by FactSet expected much higher deliveries of 408,000.

Dan Ives of Wedbush said in a note to clients that Tesla is seeing soft demand in the United States and China, as well as facing pressure in Europe.

“The brand crisis issues are clearly having a negative impact on Tesla...there is no debate,” he said.

Ives said that Wall Street financial analysts knew the first-quarter figures were likely to be bad, but that it was even worse than expected, calling them a “disaster on every metric.”

The sales drop came three weeks after President Donald Trump held an extraordinary press conference outside the White House in which he praised Tesla, blasted boycotts against the company and bought a Tesla himself while TV cameras rolled in an effort to help lift sales.

“I don’t like what’s happening to you,” said Trump, before slipping into a red Model S and exclaiming, “Wow. That’s beautiful.”

After falling as much as 6% in early Wednesday, Tesla stock shot up more than 5% in afternoon trading after a report from Politico, citing anonymous sources, that Musk may soon step down from leadership of his Department of Government Efficiency, the cost-cutting group that has led to tens of thousands of federal workers losing their jobs.

Tesla investors have complained the DOGE work has diverted Musk's focus from Tesla, where he is the CEO. On Tuesday, New York City's comptroller overseeing pension funds down $300 million this year on Tesla holdings called for a lawsuit accusing a distracted Musk of "driving Tesla off a financial cliff.”

Tesla’s stock has plunged by roughly half since hitting a mid-December record as expectations of a lighter regulatory touch and big profits with Donald Trump as president were replaced by fear that the boycott of Musk's cars and other problems could hit the company hard.

Analysts are still not sure exactly how much the fall in sales is due to the protests or other factors. Electric car sales have been sluggish in general, and Tesla in particular is suffering as car buyers hold off from buying its bestselling Model Y while waiting for an updated version.

Still, even bullish financial analysts who earlier downplayed the backlash to Musk’s polarizing political stances are acknowledging that it is hurting the company, something that Musk also recently acknowledged.

“This is a very expensive job,” Musk said at a Wisconsin rally on Sunday, referring to his DOGE role. “My Tesla stock and the stock of everyone who holds Tesla has gone roughly in half."

The protests come as the Austin, Texas electric vehicle maker faces fierce competition from other EV makers offering vastly improved models, including those of BYD. The Chinese EV giant unveiled in March a technology that allows it cars to charge up in just five to eight minutes.

Tesla is expected to report earnings of 48 cents per share for the first quarter later this month, up 7% from a year earlier, according to a survey of financial analysts who the car company by research firm FactSet.

Nearly all of Tesla’s sales in the quarter came from the smaller and less-expensive Models 3 and Y, with the company selling less than 13,000 more expensive models, which include X and S as well as the Cybertruck.

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A View From HETI

A new generation of technology is making it faster, safer, and more cost-effective to identify CUI. Courtesy photo

Corrosion under insulation (CUI) accounts for roughly 60% of pipeline leaks in the U.S. oil and gas sector. Yet many operators still rely on outdated inspection methods that are slow, risky, and economically unsustainable.

This year, widespread budget cuts and layoffs across the sector are forcing refineries to do more with less. Efficiency is no longer a goal; it’s a mandate. The challenge: how to maintain safety and reliability without overextending resources?

Fortunately, a new generation of technologies is gaining traction in the oil and gas industry, offering operators faster, safer, and more cost-effective ways to identify and mitigate CUI.

Hidden cost of corrosion

Corrosion is a pervasive threat, with CUI posing the greatest risk to refinery operations. Insulation conceals damage until it becomes severe, making detection difficult and ultimately leading to failure. NACE International estimates the annual cost of corrosion in the U.S. at $276 billion.

Compounding the issue is aging infrastructure: roughly half of the nation’s 2.6 million miles of pipeline are over 50 years old. Aging infrastructure increases the urgency and the cost of inspections.

So, the question is: Are we at a breaking point or an inflection point? The answer depends largely on how quickly the industry can move beyond inspection methods that no longer match today's operational or economic realities.

Legacy methods such as insulation stripping, scaffolding, and manual NDT are slow, hazardous, and offer incomplete coverage. With maintenance budgets tightening, these methods are no longer viable.

Why traditional inspection falls short

Without question, what worked 50 years ago no longer works today. Traditional inspection methods are slow, siloed, and dangerously incomplete.

Insulation removal:

  • Disruptive and expensive.
  • Labor-intensive and time-consuming, with a high risk of process upsets and insulation damage.
  • Limited coverage. Often targets a small percentage of piping, leaving large areas unchecked.
  • Health risks: Exposes workers to hazardous materials such as asbestos or fiberglass.

Rope access and scaffolding:

  • Safety hazards. Falls from height remain a leading cause of injury.
  • Restricted time and access. Weather, fatigue, and complex layouts limit coverage and effectiveness.
  • High coordination costs. Multiple contractors, complex scheduling, and oversight, which require continuous monitoring, documentation, and compliance assurance across vendors and protocols drive up costs.

Spot checks:

  • Low detection probability. Random sampling often fails to detect localized corrosion.
  • Data gaps. Paper records and inconsistent methods hinder lifecycle asset planning.
  • Reactive, not proactive: Problems are often discovered late after damage has already occurred.

A smarter way forward

While traditional NDT methods for CUI like Pulsed Eddy Current (PEC) and Real-Time Radiography (RTR) remain valuable, the addition of robotic systems, sensors, and AI are transforming CUI inspection.

Robotic systems, sensors, and AI are reshaping how CUI inspections are conducted, reducing reliance on manual labor and enabling broader, data-rich asset visibility for better planning and decision-making.

ARIX Technologies, for example, introduced pipe-climbing robotic systems capable of full-coverage inspections of insulated pipes without the need for insulation removal. Venus, ARIX’s pipe-climbing robot, delivers full 360° CUI data across both vertical and horizontal pipe circuits — without magnets, scaffolding, or insulation removal. It captures high-resolution visuals and Pulsed Eddy Current (PEC) data simultaneously, allowing operators to review inspection video and analyze corrosion insights in one integrated workflow. This streamlines data collection, speeds up analysis, and keeps personnel out of hazardous zones — making inspections faster, safer, and far more actionable.

These integrated technology platforms are driving measurable gains:

  • Autonomous grid scanning: Delivers structured, repeatable coverage across pipe surfaces for greater inspection consistency.
  • Integrated inspection portal: Combines PEC, RTR, and video into a unified 3D visualization, streamlining analysis across inspection teams.
  • Actionable insights: Enables more confident planning and risk forecasting through digital, shareable data—not siloed or static.

Real-world results

Petromax Refining adopted ARIX’s robotic inspection systems to modernize its CUI inspections, and its results were substantial and measurable:

  • Inspection time dropped from nine months to 39 days.
  • Costs were cut by 63% compared to traditional methods.
  • Scaffolding was minimized 99%, reducing hazardous risks and labor demands.
  • Data accuracy improved, supporting more innovative maintenance planning.

Why the time is now

Energy operators face mounting pressure from all sides: aging infrastructure, constrained budgets, rising safety risks, and growing ESG expectations.

In the U.S., downstream operators are increasingly piloting drone and crawler solutions to automate inspection rounds in refineries, tank farms, and pipelines. Over 92% of oil and gas companies report that they are investing in AI or robotic technologies or have plans to invest soon to modernize operations.

The tools are here. The data is here. Smarter inspection is no longer aspirational — it’s operational. The case has been made. Petromax and others are showing what’s possible. Smarter inspection is no longer a leap but a step forward.

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Tyler Flanagan is director of service & operations at Houston-based ARIX Technologies.


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