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Meet ‘Element’, Rs 42 Lakh AI Robot That Kills Weeds, Fixes Farms

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Los Banos: Oblivious to the punishing midday heat, a wheeled robot powered by the sun and infused with artificial intelligence carefully combs a cotton field in California, plucking out weeds.

As farms across the United States face a shortage of laborers and weeds grow resistant to herbicides, startup Aigen says its robotic solution — named Element — can save farmers money, help the environment and keep harmful chemicals out of food.

“I really believe this is the biggest thing we can do to improve human health,” co-founder and chief technology officer Richard Wurden told AFP, as robots made their way through crops at Bowles Farm in the town of Los Banos. “Everybody’s eating food sprayed with chemicals.”

Wurden, a mechanical engineer who spent five years at Tesla, went to work on the robot after relatives who farm in Minnesota told him weeding was a costly bane. Weeds are becoming immune to herbicides, but a shortage of laborers often leaves chemicals as the only viable option, according to Wurden.

“No farmer that we’ve ever talked to said ‘I’m in love with chemicals’,” added Aigen co-founder and chief executive Kenny Lee, whose background is in software. “They use it because it’s a tool — we’re trying to create an alternative.” Element the robot resembles a large table on wheels, solar panels on top. Metal arms equipped with small blades reach down to hoe between crop plants.

“It actually mimics how humans work,” Lee said as the temperature hit 90 degrees Fahrenheit (32 degrees Celsius) under a cloudless sky. “When the sun goes down, it just powers down and goes to sleep; then in the morning it comes back up and starts going again.”

The robot’s AI system takes in data from on-board cameras, allowing it to follow crop rows and identify weeds. “If you think this is a job that we want humans doing, just spend two hours in the field weeding,” Wurden said. Aigen’s vision is for workers who once toiled in the heat to be “upskilled” to monitor and troubleshoot robots.

Along with the on-board AI, robots communicate wirelessly with small control centers, notifying handlers of mishaps.

Future giant?

Aigen has robots running in tomato, cotton, and sugar beet fields, and touts the technology’s ability to weed without damaging the crops. Lee estimated that it takes about five robots to weed 160 acres (65 hectares) of farm. The robots made by the 25-person startup — based in the city of Redmond, outside Seattle — are priced at $50,000.

The company is focused on winning over politically conservative farmers with a climate-friendly option that relies on the sun instead of costly diesel fuel that powers heavy machinery. “Climate, the word, has become politicized but when you get really down to brass tacks farmers care about their land,” Lee said.

The technology caught the attention of Amazon Web Services (AWS), the e-commerce giant’s cloud computing unit. Aigen was chosen for AWS’s “Compute for Climate” fellowship program that provides AI tools, data center power, and technical help for startups tackling environmental woes. “Aigen is going to be one of the industry giants in the future,” said AWS head of climate tech startups business development Lisbeth Kaufman.

“I think about Ford and the Model T, or Edison and the light bulb — that’s Kenny and Rich and Aigen.”

(Except for the headline, this story has not been edited by ETV Bharat staff and is published from a syndicated feed.)

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Tech Companies Pay $200,000 Premiums for AI Experience: Report

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  • A consulting firm found that tech companies are “strategically overpaying” recruits with AI experience.
  • They found firms pay premiums of up to $200,000 for data scientists with machine learning skills.
  • The report also tracked a rise in bonuses for lower-level software engineers and analysts.

The AI talent bidding war is heating up, and the data scientists and software engineers behind the tech are benefiting from being caught in the middle.

Many tech companies are “strategically overpaying” recruits with AI experience, shelling out premiums of up to $200,000 for some roles with machine learning skills, J. Thelander Consulting, a compensation data and consulting firm for the private capital market, found in a recent report.

The report, compiled from a compensation analysis of roles across 153 companies, showed that data scientists and analysts with machine learning skills tend to receive a higher premium than software engineers with the same skills. However, the consulting firm also tracked a rise in bonuses for lower-level software engineers and analysts.

The payouts are a big bet, especially among startups. About half of the surveyed companies paying premiums for employees with AI skills had no revenue in the past year, and a majority (71%) had no profit.

Smaller firms need to stand out and be competitive among Big Tech giants — a likely driver behind the pricey recruitment tactic, a spokesperson for the consulting firm told Business Insider.

But while the J. Thelander Consulting report focused on smaller firms, some Big Tech companies have also recently made headlines for their sky-high recruitment incentives.

Meta was in the spotlight last month after Sam Altman, CEO of OpenAI, said the social media giant had tried to poach his best employees with $100 million signing bonuses

While Business Insider previously reported that Altman later quipped that none of his “best people” had been enticed by the deal, Meta’s chief technology officer, Andrew Bosworth, said in an interview with CNBC that Altman “neglected to mention that he’s countering those offers.”





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A Recipe for Tech Bubble 2.0

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The tech industry’s history is littered with cautionary tales of irrational exuberance: the dot-com boom, the crypto craze, and the AI winter of the 2010s. Today, Palantir Technologies (PLTR) stands at the intersection of hype and hubris, its stock up over 2,000% since 2023 and trading at a Price-to-Sales (P/S) ratio of 107x—a metric that dwarfs even the most speculative valuations of the late 1990s. This is not sustainable growth; it is a textbook bubble. With seven critical risks converging, investors are poised for a reckoning that could slash Palantir’s valuation by 60% by 2027.

The Illusion of Growth: Valuation at 107x Sales

Let’s start with the math. A P/S ratio of 107x means investors are betting that Palantir’s revenue will grow 107-fold to justify its current price. For context, during the dot-com bubble, Amazon’s peak P/S was 20x, and even Bitcoin’s 2017 mania never pushed its P/S analog to such extremes. shows a trajectory that mirrors the NASDAQ’s 2000 peak—rapid ascents followed by catastrophic collapses.

Seven Risks Fueling the Implosion

1. The AI Bubble Pop

Palantir’s valuation is tied to its AI product, Gotham, which promises to revolutionize data analytics. But history shows that AI’s promise has often exceeded its delivery. The AI winters of the 1970s and 1980s saw similar hype, only to crumble under overpromised outcomes. Today’s AI tools—despite their buzz—are still niche, and enterprise adoption remains fragmented. A cooling in AI enthusiasm could drain investor confidence, leaving Palantir’s inflated valuation stranded.

2. Gotham’s Limited Market

Gotham’s core clients are governments and large enterprises. While this niche offers stability, it also caps growth potential. Unlike cloud platforms or social media, Palantir’s market is neither scalable nor defensible against competitors. If governments shift spending priorities—or if AI’s ROI fails to materialize—the demand for Gotham’s services will evaporate.

3. Insider Selling: A Signal of Doubt

Insiders often sell shares when they anticipate a downturn. While specific data on Palantir’s insider transactions is scarce, the stock’s meteoric rise since 2023 has coincided with a surge in institutional selling. This behavior mirrors the final days of the dot-com bubble, when executives offloaded shares ahead of the crash.

4. Interest-Driven Profits, Not Revenue Growth

Palantir’s profits now rely partly on rising interest rates, which boost returns on its cash reserves. This financial engineering masks weak organic growth. When rates inevitably fall—or inflation subsides—this artificial profit driver will vanish, exposing the company’s fragile fundamentals.

5. Dilution via Equity Issuances

To fund its ambitions, Palantir has likely diluted shareholders through stock offerings. The historical data shows its adjusted stock prices account for splits and dividends, but no splits are noted. This silent dilution reduces equity value, a tactic common in bubble-stage companies desperate to fund unsustainable growth.

6. Trump’s Fiscal Uncertainty

Palantir’s government contracts depend on political stability. With a potential Trump administration’s fiscal policies uncertain—ranging from spending cuts to regulatory crackdowns—the company’s revenue streams face existential risks.

7. Valuation Precedents: The 2000 Dot-Com Crash Revisited

Valuation metrics matter. In 2000, the NASDAQ’s P/S ratio averaged 4.5x. Palantir’s 107x ratio is 23 times higher—a disconnect from reality. When the dot-com bubble burst, companies like Pets.com and Webvan, once darlings, lost 99% of their value. Palantir’s fate could mirror theirs.

The Inevitable Correction: 60% Downside by 2027

If Palantir’s valuation reverts to a more rational 10x P/S—a still aggressive multiple for its niche market—its stock would plummet to $12.73, a 60% drop from its July 2025 high. Even a 20x P/S, akin to Amazon’s peak, would price it at $25.46—a 75% drop. This is not a prediction of doom; it is arithmetic.

Investment Advice: Avoid the Sizzle, Seek the Steak

Investors should treat Palantir as a warning sign, not a buy signal. The stock’s rise has been fueled by sentiment, not fundamentals. Stick to companies with proven scalability, sustainable margins, and valuations grounded in reality. For Palantir? The only question is whether it will crash to $12 or $25—either way, the party is over.

In the annals of tech history, one truth endures: bubbles always pop. Palantir’s 2023–2025 surge is no exception. The only question is how many investors will still be dancing when the music stops.

Data sources: Historical stock price summaries (2023–2025), Palantir’s P/S ratio calculations, and fusion of market precedents.



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