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AT&T’s AI call-screening tool uses your call history to filter out spam

AT&T’s AI call-screening tool uses your call history to filter out spam

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AT&T is testing an AI-powered assistant designed to screen phone calls for you. The mobile carrier is bringing the feature to a select group of customers this year, and likens it to a “digital receptionist” that can identify and filter out robocallers based on the information from its network, like your call history.

“This is only the foundation of what it can do,” Andy Markus, AT&T’s chief data officer, tells The Verge, adding that the AI assistant could eventually help you make reservations or schedule appointments in the future, similar to what you can do with Google’s AI assistant.

When you receive a call from an unknown number, AT&T’s AI assistant will pick up and ask for more information about who’s calling and why. The AI assistant will patch the call through to you if it meets certain criteria, such as whether it determines the caller is human based on the sound of its voice or if it detects a sense of urgency. Otherwise, it can take a message or hang up.

AT&T will use the information from its network to determine whether a caller is someone you interact with frequently, but you’ll also be able to put numbers on a “Do Not Screen” list, allowing calls from lesser-used numbers, like your doctor’s office or your child’s school, to go directly to you.

Markus says that building the AI agent directly into the carrier’s network is what helps make it stand out from other call-screening features, like those launched by Google and Apple. “Using the network, it understands the pattern that you as a consumer have,” Markus says. “Based on what we understand through the network, if my brother calls, we see that I interact with my brother all the time. Of course, that call should go through.”

Google’s Call Screen feature, on the other hand, uses your phone’s contact list to determine if you know an incoming caller. It also detects spam based on what the caller says, as well as by comparing numbers against its database of known spammers and robocallers.

But AT&T’s on-network assistant doesn’t need a specific device to use the feature. AT&T will also let you see the AI assistant’s transcript in real time from its app, allowing you to keep tabs on the conversation while it happens. You can pick up the call at any time, or let the AI assistant handle it and provide an AI-generated summary of what it gathered.

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Oracle disclosed Monday that it has reduced its workforce by 21,000 employees over the past 12 months, a decline of 13%, which means more cuts than was previously known, including jobs eliminated because of AI. “The adoption and deployment of AI technologies across our operations have resulted, and may continue to result, in reductions to our workforce,” the company said in an annual financial regulatory filing.

The revelation puts new numbers to what feels to many in the tech industry like an epidemic: companies reporting record revenues while simultaneously culling their workforces, pointing to AI as both the engine of growth and the reason for the cuts. Tech layoffs hit their highest single month in years in May, and AI was the most-cited reason, according to outplacement firm Challenger, Gray & Christmas.

We recently wrote about why that rationale is something companies may want to rethink, not least because for many of these companies, the headcount they’re now cutting was hired during the pandemic hiring surge, raising questions about what’s really going on. Below, a running look — in reverse chronological order — at the bigger tech companies that have announced significant layoffs this year with AI as a stated factor.


GitLab — June 3, 2026. In one of the most recent cuts on this list, GitLab laid off roughly 350 workers, about 14% of its staff, to fund AI infrastructure investment and handle surging traffic from AI workflows. CEO Bill Staples said agentic workloads are “pushing competitors to the brink” and that the company had begun a “generational rebuild” of its core infrastructure to support what he called 100x growth requirements. GitLab is exiting 22 countries, flattening management layers, and partnering with an unspecified AI lab to rebuild its platform for agent-scale workloads. The company reported first-quarter revenue of $264 million, up 23% year-over-year, and expects to incur $30 to $35 million in restructuring costs.

Google — ongoing through May. Alphabet’s Google has quietly cut employees across its Cloud division, including its Threat Intelligence Group and Mandiant-linked cybersecurity staff, even as Cloud revenue grew 63% to exceed $20 billion for the first time and its backlog nearly doubled to over $460 billion. Over the past year, Google has cut more than a third of the managers overseeing small teams — 35% fewer managers with fewer direct reports. Unlike most companies on this list, Google has never announced a single overall number — the cuts have come through a rolling performance review process, a voluntary buyout program, and structural reorganizations, with outside estimates putting the 2026 total at between 1,500 and 3,000+ engineers.

Intuit — May 20, 2026. Intuit announced plans to eliminate roughly 3,000 jobs — about 17% of its total workforce — in a restructuring centered on reducing complexity and reallocating resources toward AI. CEO Sasan Goodarzi reportedly told staff the company is reducing complexity and simplifying the structure, so it can deliver better products.

Meta — May 20-21, 2026. Meta laid off about 8,000 employees, roughly 10% of its workforce, while moving about 7,000 employees into new AI-focused roles (that they reportedly hate). Zuckerberg told staff the cuts were necessary because “success isn’t a given” in AI.

Cisco — May 14, 2026. Cisco announced it’s cutting nearly 4,000 jobs, about 5% of its workforce, despite reporting better-than-expected profit and revenue. CFO Mark Patterson said: “This was really not a savings-driven restructure… this is more [about] realigning … resources around silicon, optics, security and AI.”

Cloudflare — May 7-8, 2026. Cloudflare cut about 20% of its workforce (1,100 people), reporting quarterly revenue of $639.8 million, up 34% year-over-year and the highest single quarter in company history. CEO Matthew Prince wrote that “the vast majority of those we laid off last week were measurers” — middle management, finance, legal, internal auditing, and revenue recognition.

General Motors — May 12, 2026. GM eliminated 500 to 600 jobs, largely in IT roles in Austin, Texas, and Warren, Michigan, saying it was reevaluating its workforce needs amid uncertain market conditions. A person familiar with the cuts told CNBC that AI played a role in the decision but that it wasn’t the only reason. GM’s statement said it was “transforming its Information Technology organization to better position the company for the future.” Despite the cuts, the company still had roughly 80 open IT positions, including roles in AI, motorsports, and autonomous vehicles.

Coinbase — May 5, 2026. The crypto exchange said it was cutting about 700 employees, or 14% of its staff, as part of a restructuring aimed at addressing market volatility and increasing AI efficiency. The company flattened its organizational structure to five layers below the CEO and COO, and said it would experiment with “one-person teams” combining engineering, design, and product roles. CEO Brian Armstrong wrote that AI had changed the pace of work dramatically — “engineers use AI to ship in days what used to take a team weeks” — and that the company needed to “leverage AI across every facet of our jobs.”

PayPal — May 5, 2026. PayPal announced plans to cut around 20% of its workforce over the next two to three years — north of 4,500 jobs — as part of a turnaround strategy centered on AI adoption and organizational simplification. CEO Enrique Lores told investors the company would “aggressively adopt AI” in its development processes and formed a new “AI transformation and simplification” team reporting directly to him, tasked with redesigning the company’s processes “function by function.” Lores framed the cuts as removing organizational layers, and said AI would extend well beyond coding into customer service, support operations, and risk management.

Microsoft — April-May 2026. Microsoft offered buyouts structured as voluntary separations, without disclosing how many employees these would impact. CFO Amy Hood said total headcount declined year-over-year in fiscal Q3, and is expected to keep declining as the company focuses on “building high-performing teams that operate with pace and agility” amid rising AI investment.

Snap — April 16, 2026. Snap cut roughly 16% of its global workforce — about 1,000 full-time employees — and closed more than 300 open roles, with CEO Evan Spiegel citing AI advancements as a key driver. “Rapid advancements in artificial intelligence enable our teams to reduce repetitive work, increase velocity, and better support our community, partners, and advertisers,” Spiegel wrote in a memo filed with the SEC. The company said it had already seen small squads using AI tools to drive progress across Snapchat+, ad platform performance, and infrastructure efficiency.

IBM — rolling through 2026. Between Q4 2025 cuts and April 2026 Red Hat engineering reductions, estimates range from 3,000 to 9,000 U.S. positions eliminated, bringing IBM’s cumulative total since September 2024 above 15,000. Bloomberg reported IBM plans to triple its U.S. entry-level hiring for AI and hybrid-cloud roles, even as roughly 200 HR positions were replaced by AI agents. An IBM spokesperson described the Q4 2025 round as a routine rebalancing affecting “a low single-digit percentage” of its global workforce.

Atlassian — March 11, 2026. Atlassian cut about 1,600 jobs (10% of its workforce) to “rebalance” toward AI and enterprise sales, even as shares rose nearly 2% on the news. CEO Mike Cannon-Brookes said: “Our approach is not ‘AI replaces people.’ But it would be disingenuous to pretend AI doesn’t change the mix of skills we need or the number of roles required in certain areas. It does.”

Dell — Jan 30 (though disclosed in March 2026). Dell’s total workforce fell about 10% in fiscal 2026 — roughly 11,000 jobs — to about 97,000 employees from 108,000 a year earlier, with $569 million spent on severance. The cuts came as Dell projected its AI-optimized server revenue could double in fiscal 2027.

Oracle — March 5-31, 2026. As noted above, Oracle began telling employees it would be cutting thousands of jobs via terminal emails. The cuts came even as Oracle posted $3.7 billion in quarterly net income, up 27% year-over-year, with remaining performance obligations up 325% to $553 billion — savings redirected toward AI data centers. The cuts that would later total 21,000 over 12 months, as Oracle disclosed in its June 22 annual filing.

Block — February 26-27, 2026. Jack Dorsey’s Block cut 4,000 jobs — nearly half its workforce, down to under 6,000 from over 10,000. Dorsey wrote on X: “We’re already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company.” He added: “I think most companies are late. Within the next year, I believe the majority of companies will reach the same conclusion and make similar structural changes.”

Salesforce — February 10, 2026. Salesforce laid off fewer than 1,000 employees across marketing, product management, data analytics, and its Agentforce AI unit. The company told Fortune, “Because of the benefits and efficiencies of Agentforce, we’ve seen the number of support cases we handle decline and we no longer need to actively backfill support engineer roles.” This followed an earlier cut of about 4,000 customer-support roles, shrinking that team from roughly 9,000 to 5,000, with CEO Marc Benioff saying the company needed “less heads” because AI agents handle the work.

Amazon — January 28, 2026. Amazon cut 16,000 corporate jobs, following 14,000 cuts in October 2025 — about 9% of its corporate workforce in three months. The company said it was part of “strengthen[ing] our organization by reducing layers, increasing ownership, and removing bureaucracy.” CEO Andy Jassy had said in June 2025 that, “As we roll out more generative AI and agents, it should change the way our work is done. We will need fewer people doing some of the jobs that are being done today… in the next few years, we expect that this will reduce our total corporate workforce as we get efficiency gains from using AI extensively across the company.”

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

#running #list #major #tech #layoffs #employers #cited #TechCrunchAI,Layoffs">The running list: major tech layoffs in 2026 where employers cited AI | TechCrunch Oracle disclosed Monday that it has reduced its workforce by 21,000 employees over the past 12 months, a decline of 13%, which means more cuts than was previously known, including jobs eliminated because of AI. “The adoption and deployment of AI technologies across our operations have resulted, and may continue to result, in reductions to our workforce,” the company said in an annual financial regulatory filing. The revelation puts new numbers to what feels to many in the tech industry like an epidemic: companies reporting record revenues while simultaneously culling their workforces, pointing to AI as both the engine of growth and the reason for the cuts. Tech layoffs hit their highest single month in years in May, and AI was the most-cited reason, according to outplacement firm Challenger, Gray & Christmas. We recently wrote about why that rationale is something companies may want to rethink, not least because for many of these companies, the headcount they’re now cutting was hired during the pandemic hiring surge, raising questions about what’s really going on. Below, a running look — in reverse chronological order — at the bigger tech companies that have announced significant layoffs this year with AI as a stated factor. GitLab — June 3, 2026. In one of the most recent cuts on this list, GitLab laid off roughly 350 workers, about 14% of its staff, to fund AI infrastructure investment and handle surging traffic from AI workflows. CEO Bill Staples said agentic workloads are “pushing competitors to the brink” and that the company had begun a “generational rebuild” of its core infrastructure to support what he called 100x growth requirements. GitLab is exiting 22 countries, flattening management layers, and partnering with an unspecified AI lab to rebuild its platform for agent-scale workloads. The company reported first-quarter revenue of 4 million, up 23% year-over-year, and expects to incur to million in restructuring costs. Google — ongoing through May. Alphabet’s Google has quietly cut employees across its Cloud division, including its Threat Intelligence Group and Mandiant-linked cybersecurity staff, even as Cloud revenue grew 63% to exceed billion for the first time and its backlog nearly doubled to over 0 billion. Over the past year, Google has cut more than a third of the managers overseeing small teams — 35% fewer managers with fewer direct reports. Unlike most companies on this list, Google has never announced a single overall number — the cuts have come through a rolling performance review process, a voluntary buyout program, and structural reorganizations, with outside estimates putting the 2026 total at between 1,500 and 3,000+ engineers. Intuit — May 20, 2026. Intuit announced plans to eliminate roughly 3,000 jobs — about 17% of its total workforce — in a restructuring centered on reducing complexity and reallocating resources toward AI. CEO Sasan Goodarzi reportedly told staff the company is reducing complexity and simplifying the structure, so it can deliver better products. Meta — May 20-21, 2026. Meta laid off about 8,000 employees, roughly 10% of its workforce, while moving about 7,000 employees into new AI-focused roles (that they reportedly hate). Zuckerberg told staff the cuts were necessary because “success isn’t a given” in AI. Cisco — May 14, 2026. Cisco announced it’s cutting nearly 4,000 jobs, about 5% of its workforce, despite reporting better-than-expected profit and revenue. CFO Mark Patterson said: “This was really not a savings-driven restructure… this is more [about] realigning … resources around silicon, optics, security and AI.” Cloudflare — May 7-8, 2026. Cloudflare cut about 20% of its workforce (1,100 people), reporting quarterly revenue of 9.8 million, up 34% year-over-year and the highest single quarter in company history. CEO Matthew Prince wrote that “the vast majority of those we laid off last week were measurers” — middle management, finance, legal, internal auditing, and revenue recognition. General Motors — May 12, 2026. GM eliminated 500 to 600 jobs, largely in IT roles in Austin, Texas, and Warren, Michigan, saying it was reevaluating its workforce needs amid uncertain market conditions. A person familiar with the cuts told CNBC that AI played a role in the decision but that it wasn’t the only reason. GM’s statement said it was “transforming its Information Technology organization to better position the company for the future.” Despite the cuts, the company still had roughly 80 open IT positions, including roles in AI, motorsports, and autonomous vehicles. Coinbase — May 5, 2026. The crypto exchange said it was cutting about 700 employees, or 14% of its staff, as part of a restructuring aimed at addressing market volatility and increasing AI efficiency. The company flattened its organizational structure to five layers below the CEO and COO, and said it would experiment with “one-person teams” combining engineering, design, and product roles. CEO Brian Armstrong wrote that AI had changed the pace of work dramatically — “engineers use AI to ship in days what used to take a team weeks” — and that the company needed to “leverage AI across every facet of our jobs.” PayPal — May 5, 2026. PayPal announced plans to cut around 20% of its workforce over the next two to three years — north of 4,500 jobs — as part of a turnaround strategy centered on AI adoption and organizational simplification. CEO Enrique Lores told investors the company would “aggressively adopt AI” in its development processes and formed a new “AI transformation and simplification” team reporting directly to him, tasked with redesigning the company’s processes “function by function.” Lores framed the cuts as removing organizational layers, and said AI would extend well beyond coding into customer service, support operations, and risk management.Microsoft — April-May 2026. Microsoft offered buyouts structured as voluntary separations, without disclosing how many employees these would impact. CFO Amy Hood said total headcount declined year-over-year in fiscal Q3, and is expected to keep declining as the company focuses on “building high-performing teams that operate with pace and agility” amid rising AI investment. Snap — April 16, 2026. Snap cut roughly 16% of its global workforce — about 1,000 full-time employees — and closed more than 300 open roles, with CEO Evan Spiegel citing AI advancements as a key driver. “Rapid advancements in artificial intelligence enable our teams to reduce repetitive work, increase velocity, and better support our community, partners, and advertisers,” Spiegel wrote in a memo filed with the SEC. The company said it had already seen small squads using AI tools to drive progress across Snapchat+, ad platform performance, and infrastructure efficiency. IBM — rolling through 2026. Between Q4 2025 cuts and April 2026 Red Hat engineering reductions, estimates range from 3,000 to 9,000 U.S. positions eliminated, bringing IBM’s cumulative total since September 2024 above 15,000. Bloomberg reported IBM plans to triple its U.S. entry-level hiring for AI and hybrid-cloud roles, even as roughly 200 HR positions were replaced by AI agents. An IBM spokesperson described the Q4 2025 round as a routine rebalancing affecting “a low single-digit percentage” of its global workforce. Atlassian — March 11, 2026. Atlassian cut about 1,600 jobs (10% of its workforce) to “rebalance” toward AI and enterprise sales, even as shares rose nearly 2% on the news. CEO Mike Cannon-Brookes said: “Our approach is not ‘AI replaces people.’ But it would be disingenuous to pretend AI doesn’t change the mix of skills we need or the number of roles required in certain areas. It does.” Dell — Jan 30 (though disclosed in March 2026). Dell’s total workforce fell about 10% in fiscal 2026 — roughly 11,000 jobs — to about 97,000 employees from 108,000 a year earlier, with 9 million spent on severance. The cuts came as Dell projected its AI-optimized server revenue could double in fiscal 2027. Oracle — March 5-31, 2026. As noted above, Oracle began telling employees it would be cutting thousands of jobs via terminal emails. The cuts came even as Oracle posted .7 billion in quarterly net income, up 27% year-over-year, with remaining performance obligations up 325% to 3 billion — savings redirected toward AI data centers. The cuts that would later total 21,000 over 12 months, as Oracle disclosed in its June 22 annual filing. Block — February 26-27, 2026. Jack Dorsey’s Block cut 4,000 jobs — nearly half its workforce, down to under 6,000 from over 10,000. Dorsey wrote on X: “We’re already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company.” He added: “I think most companies are late. Within the next year, I believe the majority of companies will reach the same conclusion and make similar structural changes.” Salesforce — February 10, 2026. Salesforce laid off fewer than 1,000 employees across marketing, product management, data analytics, and its Agentforce AI unit. The company told Fortune, “Because of the benefits and efficiencies of Agentforce, we’ve seen the number of support cases we handle decline and we no longer need to actively backfill support engineer roles.” This followed an earlier cut of about 4,000 customer-support roles, shrinking that team from roughly 9,000 to 5,000, with CEO Marc Benioff saying the company needed “less heads” because AI agents handle the work. Amazon — January 28, 2026. Amazon cut 16,000 corporate jobs, following 14,000 cuts in October 2025 — about 9% of its corporate workforce in three months. The company said it was part of “strengthen[ing] our organization by reducing layers, increasing ownership, and removing bureaucracy.” CEO Andy Jassy had said in June 2025 that, “As we roll out more generative AI and agents, it should change the way our work is done. We will need fewer people doing some of the jobs that are being done today… in the next few years, we expect that this will reduce our total corporate workforce as we get efficiency gains from using AI extensively across the company.” When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#running #list #major #tech #layoffs #employers #cited #TechCrunchAI,Layoffs

annual financial regulatory filing.

The revelation puts new numbers to what feels to many in the tech industry like an epidemic: companies reporting record revenues while simultaneously culling their workforces, pointing to AI as both the engine of growth and the reason for the cuts. Tech layoffs hit their highest single month in years in May, and AI was the most-cited reason, according to outplacement firm Challenger, Gray & Christmas.

We recently wrote about why that rationale is something companies may want to rethink, not least because for many of these companies, the headcount they’re now cutting was hired during the pandemic hiring surge, raising questions about what’s really going on. Below, a running look — in reverse chronological order — at the bigger tech companies that have announced significant layoffs this year with AI as a stated factor.


GitLab — June 3, 2026. In one of the most recent cuts on this list, GitLab laid off roughly 350 workers, about 14% of its staff, to fund AI infrastructure investment and handle surging traffic from AI workflows. CEO Bill Staples said agentic workloads are “pushing competitors to the brink” and that the company had begun a “generational rebuild” of its core infrastructure to support what he called 100x growth requirements. GitLab is exiting 22 countries, flattening management layers, and partnering with an unspecified AI lab to rebuild its platform for agent-scale workloads. The company reported first-quarter revenue of $264 million, up 23% year-over-year, and expects to incur $30 to $35 million in restructuring costs.

Google — ongoing through May. Alphabet’s Google has quietly cut employees across its Cloud division, including its Threat Intelligence Group and Mandiant-linked cybersecurity staff, even as Cloud revenue grew 63% to exceed $20 billion for the first time and its backlog nearly doubled to over $460 billion. Over the past year, Google has cut more than a third of the managers overseeing small teams — 35% fewer managers with fewer direct reports. Unlike most companies on this list, Google has never announced a single overall number — the cuts have come through a rolling performance review process, a voluntary buyout program, and structural reorganizations, with outside estimates putting the 2026 total at between 1,500 and 3,000+ engineers.

Intuit — May 20, 2026. Intuit announced plans to eliminate roughly 3,000 jobs — about 17% of its total workforce — in a restructuring centered on reducing complexity and reallocating resources toward AI. CEO Sasan Goodarzi reportedly told staff the company is reducing complexity and simplifying the structure, so it can deliver better products.

Meta — May 20-21, 2026. Meta laid off about 8,000 employees, roughly 10% of its workforce, while moving about 7,000 employees into new AI-focused roles (that they reportedly hate). Zuckerberg told staff the cuts were necessary because “success isn’t a given” in AI.

Cisco — May 14, 2026. Cisco announced it’s cutting nearly 4,000 jobs, about 5% of its workforce, despite reporting better-than-expected profit and revenue. CFO Mark Patterson said: “This was really not a savings-driven restructure… this is more [about] realigning … resources around silicon, optics, security and AI.”

Cloudflare — May 7-8, 2026. Cloudflare cut about 20% of its workforce (1,100 people), reporting quarterly revenue of $639.8 million, up 34% year-over-year and the highest single quarter in company history. CEO Matthew Prince wrote that “the vast majority of those we laid off last week were measurers” — middle management, finance, legal, internal auditing, and revenue recognition.

General Motors — May 12, 2026. GM eliminated 500 to 600 jobs, largely in IT roles in Austin, Texas, and Warren, Michigan, saying it was reevaluating its workforce needs amid uncertain market conditions. A person familiar with the cuts told CNBC that AI played a role in the decision but that it wasn’t the only reason. GM’s statement said it was “transforming its Information Technology organization to better position the company for the future.” Despite the cuts, the company still had roughly 80 open IT positions, including roles in AI, motorsports, and autonomous vehicles.

Coinbase — May 5, 2026. The crypto exchange said it was cutting about 700 employees, or 14% of its staff, as part of a restructuring aimed at addressing market volatility and increasing AI efficiency. The company flattened its organizational structure to five layers below the CEO and COO, and said it would experiment with “one-person teams” combining engineering, design, and product roles. CEO Brian Armstrong wrote that AI had changed the pace of work dramatically — “engineers use AI to ship in days what used to take a team weeks” — and that the company needed to “leverage AI across every facet of our jobs.”

PayPal — May 5, 2026. PayPal announced plans to cut around 20% of its workforce over the next two to three years — north of 4,500 jobs — as part of a turnaround strategy centered on AI adoption and organizational simplification. CEO Enrique Lores told investors the company would “aggressively adopt AI” in its development processes and formed a new “AI transformation and simplification” team reporting directly to him, tasked with redesigning the company’s processes “function by function.” Lores framed the cuts as removing organizational layers, and said AI would extend well beyond coding into customer service, support operations, and risk management.

Microsoft — April-May 2026. Microsoft offered buyouts structured as voluntary separations, without disclosing how many employees these would impact. CFO Amy Hood said total headcount declined year-over-year in fiscal Q3, and is expected to keep declining as the company focuses on “building high-performing teams that operate with pace and agility” amid rising AI investment.

Snap — April 16, 2026. Snap cut roughly 16% of its global workforce — about 1,000 full-time employees — and closed more than 300 open roles, with CEO Evan Spiegel citing AI advancements as a key driver. “Rapid advancements in artificial intelligence enable our teams to reduce repetitive work, increase velocity, and better support our community, partners, and advertisers,” Spiegel wrote in a memo filed with the SEC. The company said it had already seen small squads using AI tools to drive progress across Snapchat+, ad platform performance, and infrastructure efficiency.

IBM — rolling through 2026. Between Q4 2025 cuts and April 2026 Red Hat engineering reductions, estimates range from 3,000 to 9,000 U.S. positions eliminated, bringing IBM’s cumulative total since September 2024 above 15,000. Bloomberg reported IBM plans to triple its U.S. entry-level hiring for AI and hybrid-cloud roles, even as roughly 200 HR positions were replaced by AI agents. An IBM spokesperson described the Q4 2025 round as a routine rebalancing affecting “a low single-digit percentage” of its global workforce.

Atlassian — March 11, 2026. Atlassian cut about 1,600 jobs (10% of its workforce) to “rebalance” toward AI and enterprise sales, even as shares rose nearly 2% on the news. CEO Mike Cannon-Brookes said: “Our approach is not ‘AI replaces people.’ But it would be disingenuous to pretend AI doesn’t change the mix of skills we need or the number of roles required in certain areas. It does.”

Dell — Jan 30 (though disclosed in March 2026). Dell’s total workforce fell about 10% in fiscal 2026 — roughly 11,000 jobs — to about 97,000 employees from 108,000 a year earlier, with $569 million spent on severance. The cuts came as Dell projected its AI-optimized server revenue could double in fiscal 2027.

Oracle — March 5-31, 2026. As noted above, Oracle began telling employees it would be cutting thousands of jobs via terminal emails. The cuts came even as Oracle posted $3.7 billion in quarterly net income, up 27% year-over-year, with remaining performance obligations up 325% to $553 billion — savings redirected toward AI data centers. The cuts that would later total 21,000 over 12 months, as Oracle disclosed in its June 22 annual filing.

Block — February 26-27, 2026. Jack Dorsey’s Block cut 4,000 jobs — nearly half its workforce, down to under 6,000 from over 10,000. Dorsey wrote on X: “We’re already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company.” He added: “I think most companies are late. Within the next year, I believe the majority of companies will reach the same conclusion and make similar structural changes.”

Salesforce — February 10, 2026. Salesforce laid off fewer than 1,000 employees across marketing, product management, data analytics, and its Agentforce AI unit. The company told Fortune, “Because of the benefits and efficiencies of Agentforce, we’ve seen the number of support cases we handle decline and we no longer need to actively backfill support engineer roles.” This followed an earlier cut of about 4,000 customer-support roles, shrinking that team from roughly 9,000 to 5,000, with CEO Marc Benioff saying the company needed “less heads” because AI agents handle the work.

Amazon — January 28, 2026. Amazon cut 16,000 corporate jobs, following 14,000 cuts in October 2025 — about 9% of its corporate workforce in three months. The company said it was part of “strengthen[ing] our organization by reducing layers, increasing ownership, and removing bureaucracy.” CEO Andy Jassy had said in June 2025 that, “As we roll out more generative AI and agents, it should change the way our work is done. We will need fewer people doing some of the jobs that are being done today… in the next few years, we expect that this will reduce our total corporate workforce as we get efficiency gains from using AI extensively across the company.”

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

#running #list #major #tech #layoffs #employers #cited #TechCrunchAI,Layoffs">The running list: major tech layoffs in 2026 where employers cited AI | TechCrunch

Oracle disclosed Monday that it has reduced its workforce by 21,000 employees over the past 12 months, a decline of 13%, which means more cuts than was previously known, including jobs eliminated because of AI. “The adoption and deployment of AI technologies across our operations have resulted, and may continue to result, in reductions to our workforce,” the company said in an annual financial regulatory filing.

The revelation puts new numbers to what feels to many in the tech industry like an epidemic: companies reporting record revenues while simultaneously culling their workforces, pointing to AI as both the engine of growth and the reason for the cuts. Tech layoffs hit their highest single month in years in May, and AI was the most-cited reason, according to outplacement firm Challenger, Gray & Christmas.

We recently wrote about why that rationale is something companies may want to rethink, not least because for many of these companies, the headcount they’re now cutting was hired during the pandemic hiring surge, raising questions about what’s really going on. Below, a running look — in reverse chronological order — at the bigger tech companies that have announced significant layoffs this year with AI as a stated factor.


GitLab — June 3, 2026. In one of the most recent cuts on this list, GitLab laid off roughly 350 workers, about 14% of its staff, to fund AI infrastructure investment and handle surging traffic from AI workflows. CEO Bill Staples said agentic workloads are “pushing competitors to the brink” and that the company had begun a “generational rebuild” of its core infrastructure to support what he called 100x growth requirements. GitLab is exiting 22 countries, flattening management layers, and partnering with an unspecified AI lab to rebuild its platform for agent-scale workloads. The company reported first-quarter revenue of $264 million, up 23% year-over-year, and expects to incur $30 to $35 million in restructuring costs.

Google — ongoing through May. Alphabet’s Google has quietly cut employees across its Cloud division, including its Threat Intelligence Group and Mandiant-linked cybersecurity staff, even as Cloud revenue grew 63% to exceed $20 billion for the first time and its backlog nearly doubled to over $460 billion. Over the past year, Google has cut more than a third of the managers overseeing small teams — 35% fewer managers with fewer direct reports. Unlike most companies on this list, Google has never announced a single overall number — the cuts have come through a rolling performance review process, a voluntary buyout program, and structural reorganizations, with outside estimates putting the 2026 total at between 1,500 and 3,000+ engineers.

Intuit — May 20, 2026. Intuit announced plans to eliminate roughly 3,000 jobs — about 17% of its total workforce — in a restructuring centered on reducing complexity and reallocating resources toward AI. CEO Sasan Goodarzi reportedly told staff the company is reducing complexity and simplifying the structure, so it can deliver better products.

Meta — May 20-21, 2026. Meta laid off about 8,000 employees, roughly 10% of its workforce, while moving about 7,000 employees into new AI-focused roles (that they reportedly hate). Zuckerberg told staff the cuts were necessary because “success isn’t a given” in AI.

Cisco — May 14, 2026. Cisco announced it’s cutting nearly 4,000 jobs, about 5% of its workforce, despite reporting better-than-expected profit and revenue. CFO Mark Patterson said: “This was really not a savings-driven restructure… this is more [about] realigning … resources around silicon, optics, security and AI.”

Cloudflare — May 7-8, 2026. Cloudflare cut about 20% of its workforce (1,100 people), reporting quarterly revenue of $639.8 million, up 34% year-over-year and the highest single quarter in company history. CEO Matthew Prince wrote that “the vast majority of those we laid off last week were measurers” — middle management, finance, legal, internal auditing, and revenue recognition.

General Motors — May 12, 2026. GM eliminated 500 to 600 jobs, largely in IT roles in Austin, Texas, and Warren, Michigan, saying it was reevaluating its workforce needs amid uncertain market conditions. A person familiar with the cuts told CNBC that AI played a role in the decision but that it wasn’t the only reason. GM’s statement said it was “transforming its Information Technology organization to better position the company for the future.” Despite the cuts, the company still had roughly 80 open IT positions, including roles in AI, motorsports, and autonomous vehicles.

Coinbase — May 5, 2026. The crypto exchange said it was cutting about 700 employees, or 14% of its staff, as part of a restructuring aimed at addressing market volatility and increasing AI efficiency. The company flattened its organizational structure to five layers below the CEO and COO, and said it would experiment with “one-person teams” combining engineering, design, and product roles. CEO Brian Armstrong wrote that AI had changed the pace of work dramatically — “engineers use AI to ship in days what used to take a team weeks” — and that the company needed to “leverage AI across every facet of our jobs.”

PayPal — May 5, 2026. PayPal announced plans to cut around 20% of its workforce over the next two to three years — north of 4,500 jobs — as part of a turnaround strategy centered on AI adoption and organizational simplification. CEO Enrique Lores told investors the company would “aggressively adopt AI” in its development processes and formed a new “AI transformation and simplification” team reporting directly to him, tasked with redesigning the company’s processes “function by function.” Lores framed the cuts as removing organizational layers, and said AI would extend well beyond coding into customer service, support operations, and risk management.

Microsoft — April-May 2026. Microsoft offered buyouts structured as voluntary separations, without disclosing how many employees these would impact. CFO Amy Hood said total headcount declined year-over-year in fiscal Q3, and is expected to keep declining as the company focuses on “building high-performing teams that operate with pace and agility” amid rising AI investment.

Snap — April 16, 2026. Snap cut roughly 16% of its global workforce — about 1,000 full-time employees — and closed more than 300 open roles, with CEO Evan Spiegel citing AI advancements as a key driver. “Rapid advancements in artificial intelligence enable our teams to reduce repetitive work, increase velocity, and better support our community, partners, and advertisers,” Spiegel wrote in a memo filed with the SEC. The company said it had already seen small squads using AI tools to drive progress across Snapchat+, ad platform performance, and infrastructure efficiency.

IBM — rolling through 2026. Between Q4 2025 cuts and April 2026 Red Hat engineering reductions, estimates range from 3,000 to 9,000 U.S. positions eliminated, bringing IBM’s cumulative total since September 2024 above 15,000. Bloomberg reported IBM plans to triple its U.S. entry-level hiring for AI and hybrid-cloud roles, even as roughly 200 HR positions were replaced by AI agents. An IBM spokesperson described the Q4 2025 round as a routine rebalancing affecting “a low single-digit percentage” of its global workforce.

Atlassian — March 11, 2026. Atlassian cut about 1,600 jobs (10% of its workforce) to “rebalance” toward AI and enterprise sales, even as shares rose nearly 2% on the news. CEO Mike Cannon-Brookes said: “Our approach is not ‘AI replaces people.’ But it would be disingenuous to pretend AI doesn’t change the mix of skills we need or the number of roles required in certain areas. It does.”

Dell — Jan 30 (though disclosed in March 2026). Dell’s total workforce fell about 10% in fiscal 2026 — roughly 11,000 jobs — to about 97,000 employees from 108,000 a year earlier, with $569 million spent on severance. The cuts came as Dell projected its AI-optimized server revenue could double in fiscal 2027.

Oracle — March 5-31, 2026. As noted above, Oracle began telling employees it would be cutting thousands of jobs via terminal emails. The cuts came even as Oracle posted $3.7 billion in quarterly net income, up 27% year-over-year, with remaining performance obligations up 325% to $553 billion — savings redirected toward AI data centers. The cuts that would later total 21,000 over 12 months, as Oracle disclosed in its June 22 annual filing.

Block — February 26-27, 2026. Jack Dorsey’s Block cut 4,000 jobs — nearly half its workforce, down to under 6,000 from over 10,000. Dorsey wrote on X: “We’re already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company.” He added: “I think most companies are late. Within the next year, I believe the majority of companies will reach the same conclusion and make similar structural changes.”

Salesforce — February 10, 2026. Salesforce laid off fewer than 1,000 employees across marketing, product management, data analytics, and its Agentforce AI unit. The company told Fortune, “Because of the benefits and efficiencies of Agentforce, we’ve seen the number of support cases we handle decline and we no longer need to actively backfill support engineer roles.” This followed an earlier cut of about 4,000 customer-support roles, shrinking that team from roughly 9,000 to 5,000, with CEO Marc Benioff saying the company needed “less heads” because AI agents handle the work.

Amazon — January 28, 2026. Amazon cut 16,000 corporate jobs, following 14,000 cuts in October 2025 — about 9% of its corporate workforce in three months. The company said it was part of “strengthen[ing] our organization by reducing layers, increasing ownership, and removing bureaucracy.” CEO Andy Jassy had said in June 2025 that, “As we roll out more generative AI and agents, it should change the way our work is done. We will need fewer people doing some of the jobs that are being done today… in the next few years, we expect that this will reduce our total corporate workforce as we get efficiency gains from using AI extensively across the company.”

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#running #list #major #tech #layoffs #employers #cited #TechCrunchAI,Layoffs
ASUS Chromebook CM32 Detachable Leads the Lineup
ASUS Expands Chromebook Lineup in India With New CM14, CM15, and CM32 Models Chromebooks aren’t exactly the most exciting laptops on the market, but they continue to be a popular option for students and anyone who primarily works in the cloud. Looking to capitalize on that demand, ASUS has launched three new Chromebooks in India, including a detachable 2-in-1 model that doubles as a tablet. The new lineup consists of the ASUS Chromebook CM32 Detachable, Chromebook CM14, and Chromebook CM15. All three devices run ChromeOS and come with Google’s latest AI-powered features, along with cloud-first productivity tools aimed at students, educators, and young professionals. ASUS is also bundling three months of Google AI Pro with the devices, giving buyers access to Google’s AI tools and 5TB of cloud storage. ASUS Chromebook CM32 Detachable Leads the Lineup Leading the lineup is the ASUS Chromebook CM32, a 2-in-1 device designed for users who want the flexibility of both a tablet and a laptop. The device features a 2.5K touchscreen display, a detachable keyboard, a magnetic kickstand, and support for the ASUS Pen. This makes it suitable for everything from note-taking and studying to media consumption and light gaming. ASUS has also focused on portability and durability. Despite its lightweight design, the Chromebook comes with military-grade durability certifications and Corning Gorilla Glass protection, making it better equipped to handle everyday wear and tear. Chromebook CM14 and CM15 Focus on Battery Life If you prefer a traditional laptop design, ASUS is also offering the Chromebook CM14 and Chromebook CM15. The two laptops feature 14-inch and 15-inch displays, respectively, and are powered by the MediaTek Kompanio 540 processor. While these aren’t performance-focused machines, they should be more than capable of handling web browsing, document editing, online classes, and other everyday workloads. One of the standout features is battery life. ASUS claims both laptops can deliver up to 20 hours of usage on a single charge, which should easily get most users through a full day of work or study. The laptops also include a 180-degree hinge, allowing users to lay the display flat for easier collaboration during meetings, presentations, or classroom sessions. Price and Availability The new ASUS Chromebook lineup is now available through Amazon and the ASUS eShop. Pricing starts at ₹26,990 for the Chromebook CM14, while the larger Chromebook CM15 starts at ₹28,990. The more premium Chromebook CM32 Detachable is priced at ₹37,990. ASUS is also offering No Cost EMI and ASUS Easy Pay financing options. Monthly installments start at ₹5,165 for the CM14, ₹5,665 for the CM15, and ₹6,332 for the CM32 Detachable. #ASUS #Expands #Chromebook #Lineup #India #CM14 #CM15 #CM32 #ModelsAsus

Leading the lineup is the ASUS Chromebook CM32, a 2-in-1 device designed for users who want the flexibility of both a tablet and a laptop. The device features a 2.5K touchscreen display, a detachable keyboard, a magnetic kickstand, and support for the ASUS Pen. This makes it suitable for everything from note-taking and studying to media consumption and light gaming.

ASUS has also focused on portability and durability. Despite its lightweight design, the Chromebook comes with military-grade durability certifications and Corning Gorilla Glass protection, making it better equipped to handle everyday wear and tear.

Chromebook CM14 and CM15 Focus on Battery Life

If you prefer a traditional laptop design, ASUS is also offering the Chromebook CM14 and Chromebook CM15. The two laptops feature 14-inch and 15-inch displays, respectively, and are powered by the MediaTek Kompanio 540 processor. While these aren’t performance-focused machines, they should be more than capable of handling web browsing, document editing, online classes, and other everyday workloads.

One of the standout features is battery life. ASUS claims both laptops can deliver up to 20 hours of usage on a single charge, which should easily get most users through a full day of work or study. The laptops also include a 180-degree hinge, allowing users to lay the display flat for easier collaboration during meetings, presentations, or classroom sessions.

Price and Availability

The new ASUS Chromebook lineup is now available through Amazon and the ASUS eShop. Pricing starts at ₹26,990 for the Chromebook CM14, while the larger Chromebook CM15 starts at ₹28,990. The more premium Chromebook CM32 Detachable is priced at ₹37,990. ASUS is also offering No Cost EMI and ASUS Easy Pay financing options. Monthly installments start at ₹5,165 for the CM14, ₹5,665 for the CM15, and ₹6,332 for the CM32 Detachable.

#ASUS #Expands #Chromebook #Lineup #India #CM14 #CM15 #CM32 #ModelsAsus">ASUS Expands Chromebook Lineup in India With New CM14, CM15, and CM32 Models Chromebooks aren’t exactly the most exciting laptops on the market, but they continue to be a popular option for students and anyone who primarily works in the cloud. Looking to capitalize on that demand, ASUS has launched three new Chromebooks in India, including a detachable 2-in-1 model that doubles as a tablet. The new lineup consists of the ASUS Chromebook CM32 Detachable, Chromebook CM14, and Chromebook CM15. All three devices run ChromeOS and come with Google’s latest AI-powered features, along with cloud-first productivity tools aimed at students, educators, and young professionals. ASUS is also bundling three months of Google AI Pro with the devices, giving buyers access to Google’s AI tools and 5TB of cloud storage. ASUS Chromebook CM32 Detachable Leads the Lineup Leading the lineup is the ASUS Chromebook CM32, a 2-in-1 device designed for users who want the flexibility of both a tablet and a laptop. The device features a 2.5K touchscreen display, a detachable keyboard, a magnetic kickstand, and support for the ASUS Pen. This makes it suitable for everything from note-taking and studying to media consumption and light gaming. ASUS has also focused on portability and durability. Despite its lightweight design, the Chromebook comes with military-grade durability certifications and Corning Gorilla Glass protection, making it better equipped to handle everyday wear and tear. Chromebook CM14 and CM15 Focus on Battery Life If you prefer a traditional laptop design, ASUS is also offering the Chromebook CM14 and Chromebook CM15. The two laptops feature 14-inch and 15-inch displays, respectively, and are powered by the MediaTek Kompanio 540 processor. While these aren’t performance-focused machines, they should be more than capable of handling web browsing, document editing, online classes, and other everyday workloads. One of the standout features is battery life. ASUS claims both laptops can deliver up to 20 hours of usage on a single charge, which should easily get most users through a full day of work or study. The laptops also include a 180-degree hinge, allowing users to lay the display flat for easier collaboration during meetings, presentations, or classroom sessions. Price and Availability The new ASUS Chromebook lineup is now available through Amazon and the ASUS eShop. Pricing starts at ₹26,990 for the Chromebook CM14, while the larger Chromebook CM15 starts at ₹28,990. The more premium Chromebook CM32 Detachable is priced at ₹37,990. ASUS is also offering No Cost EMI and ASUS Easy Pay financing options. Monthly installments start at ₹5,165 for the CM14, ₹5,665 for the CM15, and ₹6,332 for the CM32 Detachable. #ASUS #Expands #Chromebook #Lineup #India #CM14 #CM15 #CM32 #ModelsAsus

ASUS Chromebook CM32, a 2-in-1 device designed for users who want the flexibility of both a tablet and a laptop. The device features a 2.5K touchscreen display, a detachable keyboard, a magnetic kickstand, and support for the ASUS Pen. This makes it suitable for everything from note-taking and studying to media consumption and light gaming.

ASUS has also focused on portability and durability. Despite its lightweight design, the Chromebook comes with military-grade durability certifications and Corning Gorilla Glass protection, making it better equipped to handle everyday wear and tear.

Chromebook CM14 and CM15 Focus on Battery Life

If you prefer a traditional laptop design, ASUS is also offering the Chromebook CM14 and Chromebook CM15. The two laptops feature 14-inch and 15-inch displays, respectively, and are powered by the MediaTek Kompanio 540 processor. While these aren’t performance-focused machines, they should be more than capable of handling web browsing, document editing, online classes, and other everyday workloads.

One of the standout features is battery life. ASUS claims both laptops can deliver up to 20 hours of usage on a single charge, which should easily get most users through a full day of work or study. The laptops also include a 180-degree hinge, allowing users to lay the display flat for easier collaboration during meetings, presentations, or classroom sessions.

Price and Availability

The new ASUS Chromebook lineup is now available through Amazon and the ASUS eShop. Pricing starts at ₹26,990 for the Chromebook CM14, while the larger Chromebook CM15 starts at ₹28,990. The more premium Chromebook CM32 Detachable is priced at ₹37,990. ASUS is also offering No Cost EMI and ASUS Easy Pay financing options. Monthly installments start at ₹5,165 for the CM14, ₹5,665 for the CM15, and ₹6,332 for the CM32 Detachable.

#ASUS #Expands #Chromebook #Lineup #India #CM14 #CM15 #CM32 #ModelsAsus">ASUS Expands Chromebook Lineup in India With New CM14, CM15, and CM32 Models

Chromebooks aren’t exactly the most exciting laptops on the market, but they continue to be a popular option for students and anyone who primarily works in the cloud. Looking to capitalize on that demand, ASUS has launched three new Chromebooks in India, including a detachable 2-in-1 model that doubles as a tablet.

The new lineup consists of the ASUS Chromebook CM32 Detachable, Chromebook CM14, and Chromebook CM15. All three devices run ChromeOS and come with Google’s latest AI-powered features, along with cloud-first productivity tools aimed at students, educators, and young professionals. ASUS is also bundling three months of Google AI Pro with the devices, giving buyers access to Google’s AI tools and 5TB of cloud storage.

ASUS Chromebook CM32 Detachable Leads the Lineup

ASUS Expands Chromebook Lineup in India With New CM14, CM15, and CM32 Models Chromebooks aren’t exactly the most exciting laptops on the market, but they continue to be a popular option for students and anyone who primarily works in the cloud. Looking to capitalize on that demand, ASUS has launched three new Chromebooks in India, including a detachable 2-in-1 model that doubles as a tablet. The new lineup consists of the ASUS Chromebook CM32 Detachable, Chromebook CM14, and Chromebook CM15. All three devices run ChromeOS and come with Google’s latest AI-powered features, along with cloud-first productivity tools aimed at students, educators, and young professionals. ASUS is also bundling three months of Google AI Pro with the devices, giving buyers access to Google’s AI tools and 5TB of cloud storage. ASUS Chromebook CM32 Detachable Leads the Lineup Leading the lineup is the ASUS Chromebook CM32, a 2-in-1 device designed for users who want the flexibility of both a tablet and a laptop. The device features a 2.5K touchscreen display, a detachable keyboard, a magnetic kickstand, and support for the ASUS Pen. This makes it suitable for everything from note-taking and studying to media consumption and light gaming. ASUS has also focused on portability and durability. Despite its lightweight design, the Chromebook comes with military-grade durability certifications and Corning Gorilla Glass protection, making it better equipped to handle everyday wear and tear. Chromebook CM14 and CM15 Focus on Battery Life If you prefer a traditional laptop design, ASUS is also offering the Chromebook CM14 and Chromebook CM15. The two laptops feature 14-inch and 15-inch displays, respectively, and are powered by the MediaTek Kompanio 540 processor. While these aren’t performance-focused machines, they should be more than capable of handling web browsing, document editing, online classes, and other everyday workloads. One of the standout features is battery life. ASUS claims both laptops can deliver up to 20 hours of usage on a single charge, which should easily get most users through a full day of work or study. The laptops also include a 180-degree hinge, allowing users to lay the display flat for easier collaboration during meetings, presentations, or classroom sessions. Price and Availability The new ASUS Chromebook lineup is now available through Amazon and the ASUS eShop. Pricing starts at ₹26,990 for the Chromebook CM14, while the larger Chromebook CM15 starts at ₹28,990. The more premium Chromebook CM32 Detachable is priced at ₹37,990. ASUS is also offering No Cost EMI and ASUS Easy Pay financing options. Monthly installments start at ₹5,165 for the CM14, ₹5,665 for the CM15, and ₹6,332 for the CM32 Detachable. #ASUS #Expands #Chromebook #Lineup #India #CM14 #CM15 #CM32 #ModelsAsus

Leading the lineup is the ASUS Chromebook CM32, a 2-in-1 device designed for users who want the flexibility of both a tablet and a laptop. The device features a 2.5K touchscreen display, a detachable keyboard, a magnetic kickstand, and support for the ASUS Pen. This makes it suitable for everything from note-taking and studying to media consumption and light gaming.

ASUS has also focused on portability and durability. Despite its lightweight design, the Chromebook comes with military-grade durability certifications and Corning Gorilla Glass protection, making it better equipped to handle everyday wear and tear.

Chromebook CM14 and CM15 Focus on Battery Life

If you prefer a traditional laptop design, ASUS is also offering the Chromebook CM14 and Chromebook CM15. The two laptops feature 14-inch and 15-inch displays, respectively, and are powered by the MediaTek Kompanio 540 processor. While these aren’t performance-focused machines, they should be more than capable of handling web browsing, document editing, online classes, and other everyday workloads.

One of the standout features is battery life. ASUS claims both laptops can deliver up to 20 hours of usage on a single charge, which should easily get most users through a full day of work or study. The laptops also include a 180-degree hinge, allowing users to lay the display flat for easier collaboration during meetings, presentations, or classroom sessions.

Price and Availability

The new ASUS Chromebook lineup is now available through Amazon and the ASUS eShop. Pricing starts at ₹26,990 for the Chromebook CM14, while the larger Chromebook CM15 starts at ₹28,990. The more premium Chromebook CM32 Detachable is priced at ₹37,990. ASUS is also offering No Cost EMI and ASUS Easy Pay financing options. Monthly installments start at ₹5,165 for the CM14, ₹5,665 for the CM15, and ₹6,332 for the CM32 Detachable.

#ASUS #Expands #Chromebook #Lineup #India #CM14 #CM15 #CM32 #ModelsAsus

published late last week in the journal Nature Microbiology.

Good guy prions?

Prions are some of the strangest things around. They’re the misfolded form of a protein naturally found in the body. When a prion comes across its “normal” counterpart, it can somehow induce the latter to turn into a prion itself, almost like a zombie infection.

Classic prion disorders like mad cow disease and Creutzfeldt-Jakob disease are caused by the steady accumulation of one particular type of protein, aptly named the prion protein; these disorders are universally fatal. Some scientists have also argued that other neurodegenerative conditions, such as Alzheimer’s disease, are caused by other kinds of misfolded proteins that act in a similar way to prions.

According to the study researchers, there’s growing evidence that prions and prion-like proteins are more than just harbingers of death. Studies have found that the normal prion protein and the prion-like amyloid beta (one of the drivers of Alzheimer’s) can have antimicrobial activity, for instance. So the team decided to conduct a sweeping analysis looking for antimicrobial peptide fragments within these proteins.

The researchers had previously built an AI model intended to predict the antimicrobial activity of any given peptide fragment, named APEX 1.1. Then they let APEX scan through 19.3 million short peptide fragments found in 2,897 prion and prion-like proteins. They initially uncovered 1,179 candidates, which the team narrowed down to 75 that showed the most potential. Of these, 59 were able to inhibit the growth of at least one bacterial germ in the lab, including 42 that did so at low levels (important for dosing considerations).

Finally, the researchers tested two of the strongest candidates on the skin of mice infected with Acinetobacter baumannii, a common source of drug-resistant infections in people. The candidates appeared to be roughly as effective as polymyxin B, an existing antibiotic often used as a last resort drug for certain drug-resistant infections.

The researchers have coined these antibacterial fragments collected from prions as “prionins.”

The future of prionins

More research is obviously needed to verify whether the team’s prionins can actually work as hoped—and safely—in people. The researchers also note their findings don’t settle the open question as to whether prions or prion-like proteins naturally tackle bacterial infections in our body.

At the same time, they do argue their work provides a strong proof of concept that prionins identified through AI can be viable antibiotic candidates for further testing.

“For a long time, drug discovery has been limited not only by what we can test, but by where we choose to look,” said senior study author César de la Fuente, director of the Machine Biology Group at the University of Pennsylvania Perelman School of Medicine, in a statement from the university. “AI is changing that. It gives us a way to search the hidden layers of biology and ask whether molecules associated with one story—in this case, disease—may also carry another story with therapeutic potential.”

With any luck, the proteins known for causing the scariest diseases around could someday turn into our antibacterial allies.

#Deadly #Proteins #Mad #Cow #Disease #Fight #Superbugsantibiotic resistance,experimental drugs,prions">Deadly Proteins Behind Mad Cow Disease Might Help Us Fight Superbugs The next frontier of antibiotics might come from an unexpected place. Recent research identifies potential antibiotic candidates from inside prions—proteins capable of causing some of the deadliest brain infections ever known, such as mad cow disease. Scientists at the University of Pennsylvania used artificial intelligence to rapidly search hundreds of prions and prion-like proteins for peptides with antibacterial activity. They found several dozen promising candidates, two of which have already shown results treating bacterial infections in mice. The team’s findings establish “prion-related proteins as a productive source space for antibiotic discovery,” the scientists wrote in their paper, published late last week in the journal Nature Microbiology. Good guy prions? Prions are some of the strangest things around. They’re the misfolded form of a protein naturally found in the body. When a prion comes across its “normal” counterpart, it can somehow induce the latter to turn into a prion itself, almost like a zombie infection. Classic prion disorders like mad cow disease and Creutzfeldt-Jakob disease are caused by the steady accumulation of one particular type of protein, aptly named the prion protein; these disorders are universally fatal. Some scientists have also argued that other neurodegenerative conditions, such as Alzheimer’s disease, are caused by other kinds of misfolded proteins that act in a similar way to prions. According to the study researchers, there’s growing evidence that prions and prion-like proteins are more than just harbingers of death. Studies have found that the normal prion protein and the prion-like amyloid beta (one of the drivers of Alzheimer’s) can have antimicrobial activity, for instance. So the team decided to conduct a sweeping analysis looking for antimicrobial peptide fragments within these proteins. The researchers had previously built an AI model intended to predict the antimicrobial activity of any given peptide fragment, named APEX 1.1. Then they let APEX scan through 19.3 million short peptide fragments found in 2,897 prion and prion-like proteins. They initially uncovered 1,179 candidates, which the team narrowed down to 75 that showed the most potential. Of these, 59 were able to inhibit the growth of at least one bacterial germ in the lab, including 42 that did so at low levels (important for dosing considerations). Finally, the researchers tested two of the strongest candidates on the skin of mice infected with Acinetobacter baumannii, a common source of drug-resistant infections in people. The candidates appeared to be roughly as effective as polymyxin B, an existing antibiotic often used as a last resort drug for certain drug-resistant infections. The researchers have coined these antibacterial fragments collected from prions as “prionins.” The future of prionins More research is obviously needed to verify whether the team’s prionins can actually work as hoped—and safely—in people. The researchers also note their findings don’t settle the open question as to whether prions or prion-like proteins naturally tackle bacterial infections in our body. At the same time, they do argue their work provides a strong proof of concept that prionins identified through AI can be viable antibiotic candidates for further testing. “For a long time, drug discovery has been limited not only by what we can test, but by where we choose to look,” said senior study author César de la Fuente, director of the Machine Biology Group at the University of Pennsylvania Perelman School of Medicine, in a statement from the university. “AI is changing that. It gives us a way to search the hidden layers of biology and ask whether molecules associated with one story—in this case, disease—may also carry another story with therapeutic potential.” With any luck, the proteins known for causing the scariest diseases around could someday turn into our antibacterial allies. #Deadly #Proteins #Mad #Cow #Disease #Fight #Superbugsantibiotic resistance,experimental drugs,prions

published late last week in the journal Nature Microbiology.

Good guy prions?

Prions are some of the strangest things around. They’re the misfolded form of a protein naturally found in the body. When a prion comes across its “normal” counterpart, it can somehow induce the latter to turn into a prion itself, almost like a zombie infection.

Classic prion disorders like mad cow disease and Creutzfeldt-Jakob disease are caused by the steady accumulation of one particular type of protein, aptly named the prion protein; these disorders are universally fatal. Some scientists have also argued that other neurodegenerative conditions, such as Alzheimer’s disease, are caused by other kinds of misfolded proteins that act in a similar way to prions.

According to the study researchers, there’s growing evidence that prions and prion-like proteins are more than just harbingers of death. Studies have found that the normal prion protein and the prion-like amyloid beta (one of the drivers of Alzheimer’s) can have antimicrobial activity, for instance. So the team decided to conduct a sweeping analysis looking for antimicrobial peptide fragments within these proteins.

The researchers had previously built an AI model intended to predict the antimicrobial activity of any given peptide fragment, named APEX 1.1. Then they let APEX scan through 19.3 million short peptide fragments found in 2,897 prion and prion-like proteins. They initially uncovered 1,179 candidates, which the team narrowed down to 75 that showed the most potential. Of these, 59 were able to inhibit the growth of at least one bacterial germ in the lab, including 42 that did so at low levels (important for dosing considerations).

Finally, the researchers tested two of the strongest candidates on the skin of mice infected with Acinetobacter baumannii, a common source of drug-resistant infections in people. The candidates appeared to be roughly as effective as polymyxin B, an existing antibiotic often used as a last resort drug for certain drug-resistant infections.

The researchers have coined these antibacterial fragments collected from prions as “prionins.”

The future of prionins

More research is obviously needed to verify whether the team’s prionins can actually work as hoped—and safely—in people. The researchers also note their findings don’t settle the open question as to whether prions or prion-like proteins naturally tackle bacterial infections in our body.

At the same time, they do argue their work provides a strong proof of concept that prionins identified through AI can be viable antibiotic candidates for further testing.

“For a long time, drug discovery has been limited not only by what we can test, but by where we choose to look,” said senior study author César de la Fuente, director of the Machine Biology Group at the University of Pennsylvania Perelman School of Medicine, in a statement from the university. “AI is changing that. It gives us a way to search the hidden layers of biology and ask whether molecules associated with one story—in this case, disease—may also carry another story with therapeutic potential.”

With any luck, the proteins known for causing the scariest diseases around could someday turn into our antibacterial allies.

#Deadly #Proteins #Mad #Cow #Disease #Fight #Superbugsantibiotic resistance,experimental drugs,prions">Deadly Proteins Behind Mad Cow Disease Might Help Us Fight SuperbugsDeadly Proteins Behind Mad Cow Disease Might Help Us Fight Superbugs The next frontier of antibiotics might come from an unexpected place. Recent research identifies potential antibiotic candidates from inside prions—proteins capable of causing some of the deadliest brain infections ever known, such as mad cow disease. Scientists at the University of Pennsylvania used artificial intelligence to rapidly search hundreds of prions and prion-like proteins for peptides with antibacterial activity. They found several dozen promising candidates, two of which have already shown results treating bacterial infections in mice. The team’s findings establish “prion-related proteins as a productive source space for antibiotic discovery,” the scientists wrote in their paper, published late last week in the journal Nature Microbiology. Good guy prions? Prions are some of the strangest things around. They’re the misfolded form of a protein naturally found in the body. When a prion comes across its “normal” counterpart, it can somehow induce the latter to turn into a prion itself, almost like a zombie infection. Classic prion disorders like mad cow disease and Creutzfeldt-Jakob disease are caused by the steady accumulation of one particular type of protein, aptly named the prion protein; these disorders are universally fatal. Some scientists have also argued that other neurodegenerative conditions, such as Alzheimer’s disease, are caused by other kinds of misfolded proteins that act in a similar way to prions. According to the study researchers, there’s growing evidence that prions and prion-like proteins are more than just harbingers of death. Studies have found that the normal prion protein and the prion-like amyloid beta (one of the drivers of Alzheimer’s) can have antimicrobial activity, for instance. So the team decided to conduct a sweeping analysis looking for antimicrobial peptide fragments within these proteins. The researchers had previously built an AI model intended to predict the antimicrobial activity of any given peptide fragment, named APEX 1.1. Then they let APEX scan through 19.3 million short peptide fragments found in 2,897 prion and prion-like proteins. They initially uncovered 1,179 candidates, which the team narrowed down to 75 that showed the most potential. Of these, 59 were able to inhibit the growth of at least one bacterial germ in the lab, including 42 that did so at low levels (important for dosing considerations). Finally, the researchers tested two of the strongest candidates on the skin of mice infected with Acinetobacter baumannii, a common source of drug-resistant infections in people. The candidates appeared to be roughly as effective as polymyxin B, an existing antibiotic often used as a last resort drug for certain drug-resistant infections. The researchers have coined these antibacterial fragments collected from prions as “prionins.” The future of prionins More research is obviously needed to verify whether the team’s prionins can actually work as hoped—and safely—in people. The researchers also note their findings don’t settle the open question as to whether prions or prion-like proteins naturally tackle bacterial infections in our body. At the same time, they do argue their work provides a strong proof of concept that prionins identified through AI can be viable antibiotic candidates for further testing. “For a long time, drug discovery has been limited not only by what we can test, but by where we choose to look,” said senior study author César de la Fuente, director of the Machine Biology Group at the University of Pennsylvania Perelman School of Medicine, in a statement from the university. “AI is changing that. It gives us a way to search the hidden layers of biology and ask whether molecules associated with one story—in this case, disease—may also carry another story with therapeutic potential.” With any luck, the proteins known for causing the scariest diseases around could someday turn into our antibacterial allies. #Deadly #Proteins #Mad #Cow #Disease #Fight #Superbugsantibiotic resistance,experimental drugs,prions

The next frontier of antibiotics might come from an unexpected place. Recent research identifies potential antibiotic candidates from inside prions—proteins capable of causing some of the deadliest brain infections ever known, such as mad cow disease.

Scientists at the University of Pennsylvania used artificial intelligence to rapidly search hundreds of prions and prion-like proteins for peptides with antibacterial activity. They found several dozen promising candidates, two of which have already shown results treating bacterial infections in mice.

The team’s findings establish “prion-related proteins as a productive source space for antibiotic discovery,” the scientists wrote in their paper, published late last week in the journal Nature Microbiology.

Good guy prions?

Prions are some of the strangest things around. They’re the misfolded form of a protein naturally found in the body. When a prion comes across its “normal” counterpart, it can somehow induce the latter to turn into a prion itself, almost like a zombie infection.

Classic prion disorders like mad cow disease and Creutzfeldt-Jakob disease are caused by the steady accumulation of one particular type of protein, aptly named the prion protein; these disorders are universally fatal. Some scientists have also argued that other neurodegenerative conditions, such as Alzheimer’s disease, are caused by other kinds of misfolded proteins that act in a similar way to prions.

According to the study researchers, there’s growing evidence that prions and prion-like proteins are more than just harbingers of death. Studies have found that the normal prion protein and the prion-like amyloid beta (one of the drivers of Alzheimer’s) can have antimicrobial activity, for instance. So the team decided to conduct a sweeping analysis looking for antimicrobial peptide fragments within these proteins.

The researchers had previously built an AI model intended to predict the antimicrobial activity of any given peptide fragment, named APEX 1.1. Then they let APEX scan through 19.3 million short peptide fragments found in 2,897 prion and prion-like proteins. They initially uncovered 1,179 candidates, which the team narrowed down to 75 that showed the most potential. Of these, 59 were able to inhibit the growth of at least one bacterial germ in the lab, including 42 that did so at low levels (important for dosing considerations).

Finally, the researchers tested two of the strongest candidates on the skin of mice infected with Acinetobacter baumannii, a common source of drug-resistant infections in people. The candidates appeared to be roughly as effective as polymyxin B, an existing antibiotic often used as a last resort drug for certain drug-resistant infections.

The researchers have coined these antibacterial fragments collected from prions as “prionins.”

The future of prionins

More research is obviously needed to verify whether the team’s prionins can actually work as hoped—and safely—in people. The researchers also note their findings don’t settle the open question as to whether prions or prion-like proteins naturally tackle bacterial infections in our body.

At the same time, they do argue their work provides a strong proof of concept that prionins identified through AI can be viable antibiotic candidates for further testing.

“For a long time, drug discovery has been limited not only by what we can test, but by where we choose to look,” said senior study author César de la Fuente, director of the Machine Biology Group at the University of Pennsylvania Perelman School of Medicine, in a statement from the university. “AI is changing that. It gives us a way to search the hidden layers of biology and ask whether molecules associated with one story—in this case, disease—may also carry another story with therapeutic potential.”

With any luck, the proteins known for causing the scariest diseases around could someday turn into our antibacterial allies.

#Deadly #Proteins #Mad #Cow #Disease #Fight #Superbugsantibiotic resistance,experimental drugs,prions

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