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Amazon Delivery Drones Involve a Perilous 10-Foot Drop. Users Are Posting the Apparent Results
                It seemed like this might have been a rare week without a “robot doing dumb shit” story—but never fear, because Jeff Bezos’s squadron of airborne delivery drones is here to save the day. Prime Air, Amazon’s drone delivery service, has been rolling out in a number of US cities over the last few months and—surprise!—it looks like they kinda suck compared to their human equivalents. (And that’s really saying something considering those human equivalents’ propensity for running up to your front door, whacking a “Sorry we missed you!” sticker right below the note you left saying “BUZZER DOESN’T WORK—PLEASE CALL THIS NUMBER”, and then driving away.)* Still, whatever else your local Amazon driver might do, one thing they won’t do is casually drop your precious package onto concrete from 10 feet in the air. Amazon’s drones, however…  Several stories videos have surfaced of late, apparently showing Amazon-branded drones hovering above customers’ driveways/stoops/etc and then just dropping their cargo onto the ground below. In one video, YouTuber Tamara Hancock orders a plastic bottle of blue raspberry syrup—which is apparently a substance one can order—and watches as the drone dumps it unceremoniously on her driveway. She opens the package and, sure enough, the video depicts a smashed and leaking screw top.

 Given the unholy racket these things make, you can probably hear them approaching a mile off, so perhaps the best course of action is to just run outside and try to catch your package before it smashes into the ground. This isn’t the seamless service Amazon promised, but then again, it’s not all that different from waiting to hear the delivery driver approaching and then booking it outside to grab your package before he gets a chance to whack the dreaded “Sorry we missed you!” sticker on your door. Plus ça change, etc. Anyway, it’s not easy to see how this issue might be mitigated. The obvious answer is “hover closer to the ground”, but given delivery robots’ record in failing to detect obstacles in their path, it feels like that strategy would eventually result in a headline like “Florida Grandmother Beheaded by Drone As She Tries to Collect Her Order of Trump Memorabilia.”

 All jokes aside, the question of how drones actually avoid doing things like beheading grandmothers is, unsurprisingly, controversial. Last week Chad Butler, a former head of information security at Amazon’s commercial drone program, posted a video about the regulatory regime surrounding drones like the ones Amazon use, which are referred to as “beyond visual line of sight”, or BVLOS, drones. As the name suggests, these are drones that are able to fly autonomously beyond the line of sight of a human operator. Without a human directing them, drones need to be able to ensure they don’t fly into a wall.

  Butler explains that there are two competing schools of thought about how to do this. The first requires the use of a system called ADS-B, which maintains a consistent broadcast of the drone’s altitude, heading and air speed, creating a sort of virtual environment that lets every drone know where every other drone is. The second, championed by Amazon, is more like the technology used on ground-based robots—it uses onboard “detect and avoid” systems like camera and radar, which allow drones to “see” what’s around them and navigate themselves around obstacles. Amazon recently left the Commercial Drone Alliance, which advocates for the first system, and Butler actually endorses his former employer’s stance. He argues that if drones are constantly broadcasting an unencrypted record of their position, and they have no independent on-board methods to verify that position, then it becomes pretty easy for hackers to hijack them by simply spoofing a GPS signal. This scenario certainly sounds credible—and, frankly, kinda frightening. (Reassuringly, Butler says, “This is not a drone problem—it’s a design pattern problem, and I see it everywhere in AI and autonomous system design.” So that’s great.)

 Having said that, we’ve seen with ground-based robots that the use of on-board sensors alone is also, um, less than perfect—and if navigating a drone in two dimensions is hard, adding a whole other dimension seems to just increase the difficulty and the chance of things going wrong. And on that note, there does seem to be one straightforward way of avoiding the possibility of a hacked delivery drone delivering a bomb to the White House or something, which is just getting rid of the bloody things. However, capitalism will not abide such good sense, so I guess we’ll just see how this whole thing pans out. *To be clear, we don’t necessarily blame drivers working to insane schedules for doing this; it is frustrating, though.      #Amazon #Delivery #Drones #Involve #Perilous #10Foot #Drop #Users #Posting #Apparent #ResultsAmazon,Prime Air

Amazon Delivery Drones Involve a Perilous 10-Foot Drop. Users Are Posting the Apparent ResultsAmazon Delivery Drones Involve a Perilous 10-Foot Drop. Users Are Posting the Apparent Results
                It seemed like this might have been a rare week without a “robot doing dumb shit” story—but never fear, because Jeff Bezos’s squadron of airborne delivery drones is here to save the day. Prime Air, Amazon’s drone delivery service, has been rolling out in a number of US cities over the last few months and—surprise!—it looks like they kinda suck compared to their human equivalents. (And that’s really saying something considering those human equivalents’ propensity for running up to your front door, whacking a “Sorry we missed you!” sticker right below the note you left saying “BUZZER DOESN’T WORK—PLEASE CALL THIS NUMBER”, and then driving away.)* Still, whatever else your local Amazon driver might do, one thing they won’t do is casually drop your precious package onto concrete from 10 feet in the air. Amazon’s drones, however…  Several stories videos have surfaced of late, apparently showing Amazon-branded drones hovering above customers’ driveways/stoops/etc and then just dropping their cargo onto the ground below. In one video, YouTuber Tamara Hancock orders a plastic bottle of blue raspberry syrup—which is apparently a substance one can order—and watches as the drone dumps it unceremoniously on her driveway. She opens the package and, sure enough, the video depicts a smashed and leaking screw top.

 Given the unholy racket these things make, you can probably hear them approaching a mile off, so perhaps the best course of action is to just run outside and try to catch your package before it smashes into the ground. This isn’t the seamless service Amazon promised, but then again, it’s not all that different from waiting to hear the delivery driver approaching and then booking it outside to grab your package before he gets a chance to whack the dreaded “Sorry we missed you!” sticker on your door. Plus ça change, etc. Anyway, it’s not easy to see how this issue might be mitigated. The obvious answer is “hover closer to the ground”, but given delivery robots’ record in failing to detect obstacles in their path, it feels like that strategy would eventually result in a headline like “Florida Grandmother Beheaded by Drone As She Tries to Collect Her Order of Trump Memorabilia.”

 All jokes aside, the question of how drones actually avoid doing things like beheading grandmothers is, unsurprisingly, controversial. Last week Chad Butler, a former head of information security at Amazon’s commercial drone program, posted a video about the regulatory regime surrounding drones like the ones Amazon use, which are referred to as “beyond visual line of sight”, or BVLOS, drones. As the name suggests, these are drones that are able to fly autonomously beyond the line of sight of a human operator. Without a human directing them, drones need to be able to ensure they don’t fly into a wall.

  Butler explains that there are two competing schools of thought about how to do this. The first requires the use of a system called ADS-B, which maintains a consistent broadcast of the drone’s altitude, heading and air speed, creating a sort of virtual environment that lets every drone know where every other drone is. The second, championed by Amazon, is more like the technology used on ground-based robots—it uses onboard “detect and avoid” systems like camera and radar, which allow drones to “see” what’s around them and navigate themselves around obstacles. Amazon recently left the Commercial Drone Alliance, which advocates for the first system, and Butler actually endorses his former employer’s stance. He argues that if drones are constantly broadcasting an unencrypted record of their position, and they have no independent on-board methods to verify that position, then it becomes pretty easy for hackers to hijack them by simply spoofing a GPS signal. This scenario certainly sounds credible—and, frankly, kinda frightening. (Reassuringly, Butler says, “This is not a drone problem—it’s a design pattern problem, and I see it everywhere in AI and autonomous system design.” So that’s great.)

 Having said that, we’ve seen with ground-based robots that the use of on-board sensors alone is also, um, less than perfect—and if navigating a drone in two dimensions is hard, adding a whole other dimension seems to just increase the difficulty and the chance of things going wrong. And on that note, there does seem to be one straightforward way of avoiding the possibility of a hacked delivery drone delivering a bomb to the White House or something, which is just getting rid of the bloody things. However, capitalism will not abide such good sense, so I guess we’ll just see how this whole thing pans out. *To be clear, we don’t necessarily blame drivers working to insane schedules for doing this; it is frustrating, though.      #Amazon #Delivery #Drones #Involve #Perilous #10Foot #Drop #Users #Posting #Apparent #ResultsAmazon,Prime Air

It seemed like this might have been a rare week without a “robot doing dumb shit” story—but never fear, because Jeff Bezos’s squadron of airborne delivery drones is here to save the day. Prime Air, Amazon’s drone delivery service, has been rolling out in a number of US cities over the last few months and—surprise!—it looks like they kinda suck compared to their human equivalents. (And that’s really saying something considering those human equivalents’ propensity for running up to your front door, whacking a “Sorry we missed you!” sticker right below the note you left saying “BUZZER DOESN’T WORK—PLEASE CALL THIS NUMBER”, and then driving away.)*

Still, whatever else your local Amazon driver might do, one thing they won’t do is casually drop your precious package onto concrete from 10 feet in the air. Amazon’s drones, however…

Several stories videos have surfaced of late, apparently showing Amazon-branded drones hovering above customers’ driveways/stoops/etc and then just dropping their cargo onto the ground below. In one video, YouTuber Tamara Hancock orders a plastic bottle of blue raspberry syrup—which is apparently a substance one can order—and watches as the drone dumps it unceremoniously on her driveway. She opens the package and, sure enough, the video depicts a smashed and leaking screw top.

Given the unholy racket these things make, you can probably hear them approaching a mile off, so perhaps the best course of action is to just run outside and try to catch your package before it smashes into the ground. This isn’t the seamless service Amazon promised, but then again, it’s not all that different from waiting to hear the delivery driver approaching and then booking it outside to grab your package before he gets a chance to whack the dreaded “Sorry we missed you!” sticker on your door. Plus ça change, etc.

Anyway, it’s not easy to see how this issue might be mitigated. The obvious answer is “hover closer to the ground”, but given delivery robots’ record in failing to detect obstacles in their path, it feels like that strategy would eventually result in a headline like “Florida Grandmother Beheaded by Drone As She Tries to Collect Her Order of Trump Memorabilia.”

All jokes aside, the question of how drones actually avoid doing things like beheading grandmothers is, unsurprisingly, controversial. Last week Chad Butler, a former head of information security at Amazon’s commercial drone program, posted a video about the regulatory regime surrounding drones like the ones Amazon use, which are referred to as “beyond visual line of sight”, or BVLOS, drones. As the name suggests, these are drones that are able to fly autonomously beyond the line of sight of a human operator. Without a human directing them, drones need to be able to ensure they don’t fly into a wall.

Butler explains that there are two competing schools of thought about how to do this. The first requires the use of a system called ADS-B, which maintains a consistent broadcast of the drone’s altitude, heading and air speed, creating a sort of virtual environment that lets every drone know where every other drone is. The second, championed by Amazon, is more like the technology used on ground-based robots—it uses onboard “detect and avoid” systems like camera and radar, which allow drones to “see” what’s around them and navigate themselves around obstacles.

Amazon recently left the Commercial Drone Alliance, which advocates for the first system, and Butler actually endorses his former employer’s stance. He argues that if drones are constantly broadcasting an unencrypted record of their position, and they have no independent on-board methods to verify that position, then it becomes pretty easy for hackers to hijack them by simply spoofing a GPS signal. This scenario certainly sounds credible—and, frankly, kinda frightening. (Reassuringly, Butler says, “This is not a drone problem—it’s a design pattern problem, and I see it everywhere in AI and autonomous system design.” So that’s great.)

Having said that, we’ve seen with ground-based robots that the use of on-board sensors alone is also, um, less than perfect—and if navigating a drone in two dimensions is hard, adding a whole other dimension seems to just increase the difficulty and the chance of things going wrong. And on that note, there does seem to be one straightforward way of avoiding the possibility of a hacked delivery drone delivering a bomb to the White House or something, which is just getting rid of the bloody things. However, capitalism will not abide such good sense, so I guess we’ll just see how this whole thing pans out.

*To be clear, we don’t necessarily blame drivers working to insane schedules for doing this; it is frustrating, though.

#Amazon #Delivery #Drones #Involve #Perilous #10Foot #Drop #Users #Posting #Apparent #ResultsAmazon,Prime Air

It seemed like this might have been a rare week without a “robot doing dumb shit” story—but never fear, because Jeff Bezos’s squadron of airborne delivery drones is here to save the day. Prime Air, Amazon’s drone delivery service, has been rolling out in a number of US cities over the last few months and—surprise!—it looks like they kinda suck compared to their human equivalents. (And that’s really saying something considering those human equivalents’ propensity for running up to your front door, whacking a “Sorry we missed you!” sticker right below the note you left saying “BUZZER DOESN’T WORK—PLEASE CALL THIS NUMBER”, and then driving away.)*

Still, whatever else your local Amazon driver might do, one thing they won’t do is casually drop your precious package onto concrete from 10 feet in the air. Amazon’s drones, however…

Several stories videos have surfaced of late, apparently showing Amazon-branded drones hovering above customers’ driveways/stoops/etc and then just dropping their cargo onto the ground below. In one video, YouTuber Tamara Hancock orders a plastic bottle of blue raspberry syrup—which is apparently a substance one can order—and watches as the drone dumps it unceremoniously on her driveway. She opens the package and, sure enough, the video depicts a smashed and leaking screw top.

Given the unholy racket these things make, you can probably hear them approaching a mile off, so perhaps the best course of action is to just run outside and try to catch your package before it smashes into the ground. This isn’t the seamless service Amazon promised, but then again, it’s not all that different from waiting to hear the delivery driver approaching and then booking it outside to grab your package before he gets a chance to whack the dreaded “Sorry we missed you!” sticker on your door. Plus ça change, etc.

Anyway, it’s not easy to see how this issue might be mitigated. The obvious answer is “hover closer to the ground”, but given delivery robots’ record in failing to detect obstacles in their path, it feels like that strategy would eventually result in a headline like “Florida Grandmother Beheaded by Drone As She Tries to Collect Her Order of Trump Memorabilia.”

All jokes aside, the question of how drones actually avoid doing things like beheading grandmothers is, unsurprisingly, controversial. Last week Chad Butler, a former head of information security at Amazon’s commercial drone program, posted a video about the regulatory regime surrounding drones like the ones Amazon use, which are referred to as “beyond visual line of sight”, or BVLOS, drones. As the name suggests, these are drones that are able to fly autonomously beyond the line of sight of a human operator. Without a human directing them, drones need to be able to ensure they don’t fly into a wall.

Butler explains that there are two competing schools of thought about how to do this. The first requires the use of a system called ADS-B, which maintains a consistent broadcast of the drone’s altitude, heading and air speed, creating a sort of virtual environment that lets every drone know where every other drone is. The second, championed by Amazon, is more like the technology used on ground-based robots—it uses onboard “detect and avoid” systems like camera and radar, which allow drones to “see” what’s around them and navigate themselves around obstacles.

Amazon recently left the Commercial Drone Alliance, which advocates for the first system, and Butler actually endorses his former employer’s stance. He argues that if drones are constantly broadcasting an unencrypted record of their position, and they have no independent on-board methods to verify that position, then it becomes pretty easy for hackers to hijack them by simply spoofing a GPS signal. This scenario certainly sounds credible—and, frankly, kinda frightening. (Reassuringly, Butler says, “This is not a drone problem—it’s a design pattern problem, and I see it everywhere in AI and autonomous system design.” So that’s great.)

Having said that, we’ve seen with ground-based robots that the use of on-board sensors alone is also, um, less than perfect—and if navigating a drone in two dimensions is hard, adding a whole other dimension seems to just increase the difficulty and the chance of things going wrong. And on that note, there does seem to be one straightforward way of avoiding the possibility of a hacked delivery drone delivering a bomb to the White House or something, which is just getting rid of the bloody things. However, capitalism will not abide such good sense, so I guess we’ll just see how this whole thing pans out.

*To be clear, we don’t necessarily blame drivers working to insane schedules for doing this; it is frustrating, though.

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#Amazon #Delivery #Drones #Involve #Perilous #10Foot #Drop #Users #Posting #Apparent #Results

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Deadspin | Chris Sale, Braves eager to add to Phillies’ woes <div id=""><section id="0" class=" w-full"><div class="xl:container mx-0 !px-4 py-0 pb-4 !mx-0 !px-0"><img src="https://images.deadspin.com/tr:w-900/28717071.jpg" srcset="https://images.deadspin.com/tr:w-900/28717071.jpg" alt="MLB: Cleveland Guardians at Atlanta Braves" class="w-full" fetchpriority="high" loading="eager"/><span class="text-0.8 leading-tight">Apr 12, 2026; Cumberland, Georgia, USA; Atlanta Braves pitcher Chris Sale (51) pitches against the Cleveland Guardians during the first inning at Truist Park. Mandatory Credit: Dale Zanine-Imagn Images<!-- --> <!-- --> </span></div></section><section id="section-1"> <p>A pair of talented left-handers will take the mound on Saturday night when Chris Sale and the Atlanta Braves visit Cristopher Sanchez and the scuffling Philadelphia Phillies.</p> </section><section id="section-2"> <p>Both pitchers are off to solid starts this season. Sale (3-1, 3.27 ERA), the 2024 National League Cy Young Award winner, remains a force for first-place Atlanta in the NL East. Philadelphia, meanwhile, continues to count on Sanchez (2-1, 2.01), the runner-up to Pittsburgh’s Paul Skenes in the 2025 NL Cy Young race.</p> </section><section id="section-3"> <p>Sale has allowed one or fewer runs in three of his four outings this season. He held the Cleveland Guardians to one run in six innings on Sunday, throwing a season-high 97 pitches in a 13-1 victory.</p> </section><section id="section-4"> <p>“Hall of Famers are just different, and that’s what he is,” Braves manager Walt Weiss said. “I think he ran it up to 99 (mph) tonight on a pitch, and he had some 98s. He’s just a marvel, really.”</p> </section><section id="section-5"> <p>Sanchez also is coming off a victory — 13-7 Monday over the Chicago Cubs in a game in which he gave up two runs over six innings. He hasn’t been particularly sharp this month, however, as he’s allowed 21 hits and seven walks in 16 1/3 innings.</p> </section><section id="section-6"> <p>“It can be better,” Sanchez said via the team’s interpreter. “It can get better. The changeup can definitely be better. The good thing is I’m coming into my sinker, so it’s helping a lot. And my slider is good, so I’m able to throw those pitches even if my changeup is a little (off).” </p> </section><section id="section-7"> <p>Sanchez has never defeated the Braves in seven career games (six starts), going 0-3 with a 3.58 ERA. He held them to three runs in 12 2/3 innings last season but couldn’t come away with a victory.</p> </section><br/><section id="section-8"> <p>Sale is just 2-2 with a 4.05 ERA in seven lifetime starts against the Phillies. However, he might be catching them at a good time, as they’ve been shut out three times while going 2-7 in their last nine games.</p> </section> <section id="section-9"> <p>That was the story of Friday’s series opener, as Martin Perez tossed six strong innings to help Atlanta breeze to a 9-0 win over Philadelphia.</p> </section><section id="section-10"> <p>“Everything can’t always be great or awesome,” Phillies slugger Kyle Schwarber said. “You’re going to have to fight through things. That’s the journey of the year. … There’s always a sense of urgency to go out there and win a baseball game. That’s the mindset we always have.”</p> </section><section id="section-11"> <p>Bryce Harper went 3-for-4 and J.T. Realmuto added two hits, but the rest of the Phillies’ lineup was a collective 1-for-25. </p> </section><section id="section-12"> <p>“We’ve got to turn this thing around, someway, somehow,” manager Rob Thomson said.</p> </section><section id="section-13"> <p>Austin Riley hit two home runs for Atlanta, while Michael Harris II and Dominic Smith also went deep for the visitors. Harris finished with three hits on the night, and Riley and Drake Baldwin collected two apiece as the Braves improved to 7-2 in their last nine games, including three wins in a row.</p> </section><section id="section-14"> <p>“Just a great, great night all around,” Weiss said. “Offense — Austin Riley heating up, hitting homers the other way, that’s a great sign for him. Just a great team win.”</p> </section><section id="section-15"> <p>–Field Level Media</p> </section></div> #Deadspin #Chris #Sale #Braves #eager #add #Phillies #woes

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Abhishek Sharma scores his fastest IPL fifty in contest against Chennai Super Kings <div id="content-body-70878126" itemprop="articleBody"><p>Sunrisers Hyderabad opener Abhishek Sharma scored his fastest Indian Premier League half-century during the IPL 2026 match against Chennai Super Kings in Hyderabad on Saturday.</p><p>He smacked a 15-ball 50 to better his 16-ball fifty he had scored during the 2024 season against Mumbai Indians in Hyderabad.</p><p>This was also the fastest fifty by a SRH player.</p><p>The record for the fastest half-century is held by Rajasthan Royals’ batter Yashasvi Jaiswal, who scored one off 13 balls against Kolkata Knight Riders in 2023.</p><p>Sunrisers is looking to extend its winning run against CSK at the Uppal Stadium, which dates back to 2019.</p><p class="publish-time" id="end-of-article">Published on Apr 18, 2026</p></div> #Abhishek #Sharma #scores #fastest #IPL #fifty #contest #Chennai #Super #Kings

We’re retiring our oldest plans, some of which were built nearly 15 years ago – in the 3G and 4G eras, and well before our 5G network was fully deployed. Customers will transition to modern plans that provide access to America’s best wireless technology, enhanced features and a 5-year price guarantee for peace of mind. Some customers will see no change to their monthly bill, while some will see a modest adjustment. Every customer moved to a new plan will keep their current benefits while gaining improvements in network and service experiences.

#TMobile #booting #customers #oldest #plans5G,Mobile,Sprint,T-Mobile,Tech">T-Mobile is booting customers from its oldest plansWe’re retiring our oldest plans, some of which were built nearly 15 years ago – in the 3G and 4G eras, and well before our 5G network was fully deployed. Customers will transition to modern plans that provide access to America’s best wireless technology, enhanced features and a 5-year price guarantee for peace of mind. Some customers will see no change to their monthly bill, while some will see a modest adjustment. Every customer moved to a new plan will keep their current benefits while gaining improvements in network and service experiences.#TMobile #booting #customers #oldest #plans5G,Mobile,Sprint,T-Mobile,Tech
AI-related job loss fears grow each time another company announces a round of layoffs. Through May of 2026, companies announced that close to 90,000 job cuts were tied to AI, and, by some accounts, up to 15% of U.S. jobs are projected to be eliminated by AI over the next five years. Promises from the tech industry that AI will also create new jobs does little to ease fears, especially for the generation wondering if anyone will be hiring when they graduate. 

A recent report from Ramp and Revelio Labs, which track enterprise AI spend and workforce records from nearly 22,000 companies, respectively, complicates that gloomy narrative. 

The report found that companies spending heavily on AI are growing headcount faster, even in the entry-level roles that many fear are doomed. According to the report, “high-intensity adopters” — firms that spend on average $30 per employee per month on AI in the first three months — saw headcount increase 10.2%.

Headcount also rose across functions, including engineering, sales, administration, customer service, finance, marketing, and scientist roles. The strongest job growth among high-intensity adopters was in the information sector, which includes software, internet, media, and tech-adjacent firms. 

Despite these positive signals, the data isn’t as rosy as it seems. It skews heavily towards tech-forward, knowledge-work firms — ones that might have VC-backing and are growing fast anyway, making it difficult to say whether AI is contributing to the hiring or just showing up at companies that are expanding anyway.

“This paper does not show that AI universally creates jobs,” the paper’s authors admit, “but it does counter claims that AI will lead to broad job losses.”

It also counters claims that AI is killing all junior jobs. Recent research from Goldman Sachs found that AI has already erased about 16,000 net jobs per month over the past year, with Gen Z and entry level workers taking the brunt of the burden. But in tech-forward firms, the report finds that entry-level headcount actually rose by 12%.

So what can we take away from this? Perhaps that AI isn’t always a tool for labor substitution, but that it can be a tool for firm-expansion instead. 

“For software and technology firms, AI can make core output cheaper or faster to produce: writing code, debugging, building internal tools, producing technical documentation, and supporting product development,” the report reads. “Lower production costs in these workflows can raise the return to expanding the whole firm, not just the engineering team.”

But companies that buy subscriptions and run pilots, yet did not go on to make sustained investments, don’t tend to see any gains in headcount, per the report. 

That sets up the potential for a widening gap between firms that have the resources — like capital, technical staff, founder networks, and management bandwidth — to turn AI adoption into actual business gains and those that are stuck experimenting with subscriptions. In other words, this report suggests that firms that already have the resources are the ones who will see the largest gains. 

The paper’s authors speculate such a divide may continue to grow, saying: “Firms without those channels may fall behind.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#jobs #debate #messier #TechCrunchRamp,ai job loss,revelio labs">The AI jobs debate just got messier | TechCrunch
AI-related job loss fears grow each time another company announces a round of layoffs. Through May of 2026, companies announced that close to 90,000 job cuts were tied to AI, and, by some accounts, up to 15% of U.S. jobs are projected to be eliminated by AI over the next five years. Promises from the tech industry that AI will also create new jobs does little to ease fears, especially for the generation wondering if anyone will be hiring when they graduate. 

A recent report from Ramp and Revelio Labs, which track enterprise AI spend and workforce records from nearly 22,000 companies, respectively, complicates that gloomy narrative. 







The report found that companies spending heavily on AI are growing headcount faster, even in the entry-level roles that many fear are doomed. According to the report, “high-intensity adopters” — firms that spend on average  per employee per month on AI in the first three months — saw headcount increase 10.2%. 

Headcount also rose across functions, including engineering, sales, administration, customer service, finance, marketing, and scientist roles. The strongest job growth among high-intensity adopters was in the information sector, which includes software, internet, media, and tech-adjacent firms. 

Despite these positive signals, the data isn’t as rosy as it seems. It skews heavily towards tech-forward, knowledge-work firms — ones that might have VC-backing and are growing fast anyway, making it difficult to say whether AI is contributing to the hiring or just showing up at companies that are expanding anyway.

“This paper does not show that AI universally creates jobs,” the paper’s authors admit, “but it does counter claims that AI will lead to broad job losses.”

It also counters claims that AI is killing all junior jobs. Recent research from Goldman Sachs found that AI has already erased about 16,000 net jobs per month over the past year, with Gen Z and entry level workers taking the brunt of the burden. But in tech-forward firms, the report finds that entry-level headcount actually rose by 12%.


So what can we take away from this? Perhaps that AI isn’t always a tool for labor substitution, but that it can be a tool for firm-expansion instead. 

“For software and technology firms, AI can make core output cheaper or faster to produce: writing code, debugging, building internal tools, producing technical documentation, and supporting product development,” the report reads. “Lower production costs in these workflows can raise the return to expanding the whole firm, not just the engineering team.”

But companies that buy subscriptions and run pilots, yet did not go on to make sustained investments, don’t tend to see any gains in headcount, per the report. 







That sets up the potential for a widening gap between firms that have the resources — like capital, technical staff, founder networks, and management bandwidth — to turn AI adoption into actual business gains and those that are stuck experimenting with subscriptions. In other words, this report suggests that firms that already have the resources are the ones who will see the largest gains. 

The paper’s authors speculate such a divide may continue to grow, saying: “Firms without those channels may fall behind.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#jobs #debate #messier #TechCrunchRamp,ai job loss,revelio labs

announces a round of layoffs. Through May of 2026, companies announced that close to 90,000 job cuts were tied to AI, and, by some accounts, up to 15% of U.S. jobs are projected to be eliminated by AI over the next five years. Promises from the tech industry that AI will also create new jobs does little to ease fears, especially for the generation wondering if anyone will be hiring when they graduate. 

A recent report from Ramp and Revelio Labs, which track enterprise AI spend and workforce records from nearly 22,000 companies, respectively, complicates that gloomy narrative. 

The report found that companies spending heavily on AI are growing headcount faster, even in the entry-level roles that many fear are doomed. According to the report, “high-intensity adopters” — firms that spend on average $30 per employee per month on AI in the first three months — saw headcount increase 10.2%.

Headcount also rose across functions, including engineering, sales, administration, customer service, finance, marketing, and scientist roles. The strongest job growth among high-intensity adopters was in the information sector, which includes software, internet, media, and tech-adjacent firms. 

Despite these positive signals, the data isn’t as rosy as it seems. It skews heavily towards tech-forward, knowledge-work firms — ones that might have VC-backing and are growing fast anyway, making it difficult to say whether AI is contributing to the hiring or just showing up at companies that are expanding anyway.

“This paper does not show that AI universally creates jobs,” the paper’s authors admit, “but it does counter claims that AI will lead to broad job losses.”

It also counters claims that AI is killing all junior jobs. Recent research from Goldman Sachs found that AI has already erased about 16,000 net jobs per month over the past year, with Gen Z and entry level workers taking the brunt of the burden. But in tech-forward firms, the report finds that entry-level headcount actually rose by 12%.

So what can we take away from this? Perhaps that AI isn’t always a tool for labor substitution, but that it can be a tool for firm-expansion instead. 

“For software and technology firms, AI can make core output cheaper or faster to produce: writing code, debugging, building internal tools, producing technical documentation, and supporting product development,” the report reads. “Lower production costs in these workflows can raise the return to expanding the whole firm, not just the engineering team.”

But companies that buy subscriptions and run pilots, yet did not go on to make sustained investments, don’t tend to see any gains in headcount, per the report. 

That sets up the potential for a widening gap between firms that have the resources — like capital, technical staff, founder networks, and management bandwidth — to turn AI adoption into actual business gains and those that are stuck experimenting with subscriptions. In other words, this report suggests that firms that already have the resources are the ones who will see the largest gains. 

The paper’s authors speculate such a divide may continue to grow, saying: “Firms without those channels may fall behind.”

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#jobs #debate #messier #TechCrunchRamp,ai job loss,revelio labs">The AI jobs debate just got messier | TechCrunch

AI-related job loss fears grow each time another company announces a round of layoffs. Through May of 2026, companies announced that close to 90,000 job cuts were tied to AI, and, by some accounts, up to 15% of U.S. jobs are projected to be eliminated by AI over the next five years. Promises from the tech industry that AI will also create new jobs does little to ease fears, especially for the generation wondering if anyone will be hiring when they graduate. 

A recent report from Ramp and Revelio Labs, which track enterprise AI spend and workforce records from nearly 22,000 companies, respectively, complicates that gloomy narrative. 

The report found that companies spending heavily on AI are growing headcount faster, even in the entry-level roles that many fear are doomed. According to the report, “high-intensity adopters” — firms that spend on average $30 per employee per month on AI in the first three months — saw headcount increase 10.2%.

Headcount also rose across functions, including engineering, sales, administration, customer service, finance, marketing, and scientist roles. The strongest job growth among high-intensity adopters was in the information sector, which includes software, internet, media, and tech-adjacent firms. 

Despite these positive signals, the data isn’t as rosy as it seems. It skews heavily towards tech-forward, knowledge-work firms — ones that might have VC-backing and are growing fast anyway, making it difficult to say whether AI is contributing to the hiring or just showing up at companies that are expanding anyway.

“This paper does not show that AI universally creates jobs,” the paper’s authors admit, “but it does counter claims that AI will lead to broad job losses.”

It also counters claims that AI is killing all junior jobs. Recent research from Goldman Sachs found that AI has already erased about 16,000 net jobs per month over the past year, with Gen Z and entry level workers taking the brunt of the burden. But in tech-forward firms, the report finds that entry-level headcount actually rose by 12%.

So what can we take away from this? Perhaps that AI isn’t always a tool for labor substitution, but that it can be a tool for firm-expansion instead. 

“For software and technology firms, AI can make core output cheaper or faster to produce: writing code, debugging, building internal tools, producing technical documentation, and supporting product development,” the report reads. “Lower production costs in these workflows can raise the return to expanding the whole firm, not just the engineering team.”

But companies that buy subscriptions and run pilots, yet did not go on to make sustained investments, don’t tend to see any gains in headcount, per the report. 

That sets up the potential for a widening gap between firms that have the resources — like capital, technical staff, founder networks, and management bandwidth — to turn AI adoption into actual business gains and those that are stuck experimenting with subscriptions. In other words, this report suggests that firms that already have the resources are the ones who will see the largest gains. 

The paper’s authors speculate such a divide may continue to grow, saying: “Firms without those channels may fall behind.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#jobs #debate #messier #TechCrunchRamp,ai job loss,revelio labs

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