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Google is killing millions of old links. How to check yours.

Google is killing millions of old links. How to check yours.

Google may have partially walked back a plan to deprecate all shortened goo.gl links, but millions of links that rely on the link shortener will still break before the end of August.

Links created with Google’s URL shortener that are still actively being used will be “preserved,” according to an Aug. 1 update to its original 2024 announcement.

Initially, Google decided turn off its URL shortener tool and kill all goo.gl links, redirecting them to a page notifying the user that the links would become inactive after Aug. 25, 2025 before allowing users to proceed to the originally linked page.

The way links are shared online has changed since the link shortener heyday in the early and mid 2000s. Shorteners like goo.gl offered a cleaner, more user-friendly way to share long URLs — especially when social media sites like Twitter, now X, had shorter character limits. Plus there are lots of other services like Bit.ly and Ow.ly that became more popular than Google’s.

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“Over time, these existing URLs saw less and less traffic as the years went on – in fact more than 99% of them had no activity in the last month,” said Google’s announcement last July.

But it turns out, some of these links were still actively being used.

“We understand these links are embedded in countless documents, videos, posts and more, and we appreciate the input received,” said the latest update. So those links will still be alive after the Aug. 25 cutoff date.

How to check if your links are still active

There’s a simple test to see if your link still works after the cutoff date. To check if the link is still active, plug it into your browser. If the page you expect to see appears right away instead of redirecting to the Google message warning about the change first, it will continue to work, said the update.

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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.”

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 $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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