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Lawmaker, AARP call for nationwide utility commission reforms to stop rising electric bills

Dive Brief: Utility commissions across the nation are “broken” and must be reformed to stop rising electric costs, a coalition of lawmakers, consumer and environmental advocates said Tuesday during a joint press conference. Speakers at the press conference said it seemed likely that the Florida Public Service Commission would “rubber stamp” a $9.8 billion base rate increase proposed by Florida Power & Light, and argued that regulators have become too deferential to utility requests. U.S. Rep. Kathy Castor, D-Fla., reintroduced legislation on Tuesday that would prohibit utility companies from using ratepayer dollars to fund political lobbying and advertising. Dive Insight: What started as a Tuesday morning press conference drawing attention to the plight of Floridians struggling to pay rising electric bills quickly escalated to calls for legislative reforms of utility commissions across the nation. “When we have a public service commission that does not look out for the best interest of the customers but rather the utility company itself, there is a problem,” Zayne Smith, senior director of advocacy at AARP Florida, said. “This is a canary in the coal mine if the current ask is granted.” Advocates on the call argued that FPL’s request to increase base rates by 2.5% would harm Florida residents who are already struggling to pay their bills amid other rising costs. Hearings in the case are set to begin this month. Documents obtained during the rate case discovery period suggest that up to a fifth of FPL customers had their power shut off between March 2024 and February 2025 due to unpaid bills, according to Bradley Marshall, an Earthjustice attorney who is representing Florida Rising, the League of United Latin American Citizens and the Environmental Confederation of Southwest Florida in the upcoming rate case proceedings. While FPL argues that the increase would maintain base rates

Read More »

AI could cut disaster infrastructure losses by 15%, new research finds

Dive Brief: AI applications such as predictive maintenance and digital twins could prevent 15% of projected natural disaster losses to power grids, water systems and transportation infrastructure, amounting to $70 billion in savings worldwide by 2050, according to a recently released Deloitte Center for Sustainable Progress report. Governments and other stakeholders need to overcome technological limitations, financial constraints, regulatory uncertainty, data availability and security concerns before AI-enabled resilience can be widely adopted for infrastructure systems, according to the report. “Investing in AI can help deliver less frequent or shorter power outages, faster system recovery after storms, or fewer damaged or non-usable roads and bridges,” Jennifer Steinmann, Deloitte Global Sustainability Business leader, said in an email. Dive Insight: Natural disasters have caused nearly $200 billion in average annual losses to infrastructure around the world over the past 15 years, according to Deloitte. The report projects that could increase to approximately $460 billion by 2050. Climate change is expected to increase the frequency and intensity of these events, leading to higher losses, according to the report.   “Investing in AI has the greatest near-term potential to help reduce damages from storms, which include tropical cyclones, tornados, thunderstorms, hailstorms, and blizzards,” Steinmann said. “These natural disasters drive the largest share of infrastructure losses, due to their high frequency, wide geographic reach, and increasing intensity.” The AI for Infrastructure Resilience report uses empirical case studies, probabilistic risk modeling and economic forecasting to show how AI can help leaders fortify infrastructure so they can plan, respond and recover more quickly from natural disasters. “AI technologies can offer preventative, detective and responsive solutions to help address natural disasters — but some interventions are more impactful than others,” Steinmann said. Investing in AI while infrastructure is in planning stages accounts for roughly two-thirds of AI’s potential to prevent

Read More »

Anthropic revenue tied to two customers as AI pricing war threatens margins

Anthropic’s meteoric rise to a $5 billion revenue run rate conceals a precarious dependence on just two major customers that account for nearly a quarter of the artificial intelligence company’s income, according to internal data and industry analysis that reveals both the promise and peril of the AI coding boom.The San Francisco-based maker of Claude AI assistant has built its business largely on the back of developer tools, with coding applications Cursor and GitHub Copilot driving approximately $1.2 billion of the company’s $4 billion revenue milestone reached earlier this year, according to sources familiar with the matter. The concentration underscores how quickly Anthropic has captured the lucrative market for AI-powered software development, but also exposes the company to significant risk should either relationship falter.The revenue concentration comes into sharp focus as OpenAI launched GPT-5 this week with dramatically lower pricing that could undercut Anthropic’s premium positioning. Early comparisons show Claude Opus 4 costs roughly seven times more per million tokens than GPT-5 for certain tasks, creating immediate pressure on Anthropic’s enterprise pricing strategy and potentially threatening its hard-won dominance in AI coding.The pricing disparity signals a fundamental shift in competitive dynamics that will force enterprise procurement teams to reconsider vendor relationships built on performance rather than price. Companies managing exponentially growing AI budgets now face comparable capability at a fraction of the cost, creating unavoidable pressure in contract negotiations.

Read More »

Crude Steadies After Volatile Session

Oil closed unchanged after a choppy session as investors assessed whether a prospective deal by the US and Russia to halt the war in Ukraine would receive international support and materially affect Russian crude flows. West Texas Intermediate swung in a roughly $1.80 range before ending the day flat below $64 a barrel, narrowly breaking a six-session losing streak. The US and Russia are aiming to reach a deal that would lock in Russia’s occupation of territory seized during its invasion, according to people familiar with the matter. Washington is working to get buy-in from Ukraine and its European allies on the agreement, which is far from certain. The US and the European Union have targeted Russia’s oil revenues in response to its invasion of Ukraine, with President Donald Trump just this week doubling levies on all Indian imports to 50% as a penalty for the nation taking Russian crude and threatening similar measures against China. Though investors remain skeptical that Europe would support a deal representing a major victory for Russian President Vladimir Putin, the renewed collaboration between Washington and Moscow has lifted expectations that the nation’s crude will continue to flow freely to its two biggest buyers. Still, the market’s focus has shifted to whether US sanctions on Russia — which have crimped Russia’s ability to sell oil and replenish the Kremlin’s war chest in recent months — will remain in place. “A possible truce would be only modestly bearish crude — assuming there is no lifting of EU and US sanctions against Russian energy — since the market does not currently price in much disruption risk,” said Bob McNally, founder of the Rapidan Energy Group and a former White House official. The proposed deal resembles a ceasefire, not a full-fledged peace agreement, he added. At the same

Read More »

OpenAI returns old models to ChatGPT as Sam Altman admits ‘bumpy’ GPT-5 rollout

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now OpenAI co-founder and CEO Sam Altman is publicly acknowledging major hiccups in yesterday’s rollout of GPT-5, the company’s new, flagship large language model (LLM) — advertised as its most powerful and capable yet. Answering user questions in a Reddit AMA (Ask Me Anything) thread and in a post on X this afternoon, Altman admitted to a range of issues that have disrupted the launch of GPT-5, including faulty model switching, poor performance, and user confusion — prompting OpenAI to partially walk back some of its platform changes and reinstate user access to earlier models like GPT-4o. “It was a little more bumpy than we hoped for,” Altman wrote in reply to a question on Reddit regarding the big GPT-5 launch. As for erroneous model performance charts shown off during OpenAI’s GPT-5 livestream, Altman said: “People were working late and were very tired, and human error got in the way. A lot comes together for a livestream in the last hours.” AI Scaling Hits Its Limits Power caps, rising token costs, and inference delays are reshaping enterprise AI. Join our exclusive salon to discover how top teams are: Secure your spot to stay ahead: https://bit.ly/4mwGngO While he noted the accompanying blog post and system card were accurate, the missteps further muddied a launch already facing scrutiny from early users and developers. GPT-5 rollout updates: *We are going to double GPT-5 rate limits for ChatGPT Plus users as we finish rollout. *We will let Plus users choose to continue to use 4o. We will watch usage as we think about how long to offer legacy models for. *GPT-5 will seem smarter starting… — Sam Altman (@sama)

Read More »

SLB, AIQ Join Forces to Boost ADNOC’s Energy Efficiency with Agentic AI

Schlumberger N.V., the energy tech company doing business as SLB, will team up with AIQ, the Abu Dhabi-based AI specialist for the energy sector. SLB said in a media release that the two companies will collaborate to advance AIQ’s development and deployment of its ENERGYai agentic AI solution across ADNOC’s subsurface operations. Built on 70 years of proprietary data and expertise, ENERGYai integrates large language model (LLM) technology with advanced agentic AI, SLB said. This AI is tailored for specific workflows across ADNOC’s upstream value chain. Initial tests using 15 percent of ADNOC’s data, focusing on two fields, showed a seismic agent that boosted seismic interpretation speed by 10 times and improved accuracy by 70 percent, it said. In partnership, SLB and AIQ will design and deploy new agentic AI workflows across ADNOC’s subsurface operations, including geology, seismic exploration, and reservoir modelling. SLB will provide support with its Lumi data and AI platform, and other digital technologies. A scalable version of ENERGYai is under development, which will include AI agents covering tasks within subsurface operations. Deployment will commence in the fourth quarter of 2025, SLB said. “This partnership reflects our vision to harness AI for energy optimization, and we are enthusiastic that SLB shares this outlook. The collaboration between AIQ and SLB enables the development of sophisticated AI workflows that integrate seamlessly with ADNOC’s infrastructure, driving efficiency, scalability, and innovation at every stage of the energy lifecycle”, Dennis Jol, CEO of AIQ, said. “Our ENERGYai agentic AI solution is pioneering in its sheer scale and impact, and we are proud to involve other significant industry technology players in its development and evolution”. ENERGYai will power agentic AI to automate complex, high-impact tasks, increasing efficiency, enhancing decision-making and optimizing production across ADNOC’s operations, SLB said. The partnership between AIQ and SLB demonstrates a mutual

Read More »

Lawmaker, AARP call for nationwide utility commission reforms to stop rising electric bills

Dive Brief: Utility commissions across the nation are “broken” and must be reformed to stop rising electric costs, a coalition of lawmakers, consumer and environmental advocates said Tuesday during a joint press conference. Speakers at the press conference said it seemed likely that the Florida Public Service Commission would “rubber stamp” a $9.8 billion base rate increase proposed by Florida Power & Light, and argued that regulators have become too deferential to utility requests. U.S. Rep. Kathy Castor, D-Fla., reintroduced legislation on Tuesday that would prohibit utility companies from using ratepayer dollars to fund political lobbying and advertising. Dive Insight: What started as a Tuesday morning press conference drawing attention to the plight of Floridians struggling to pay rising electric bills quickly escalated to calls for legislative reforms of utility commissions across the nation. “When we have a public service commission that does not look out for the best interest of the customers but rather the utility company itself, there is a problem,” Zayne Smith, senior director of advocacy at AARP Florida, said. “This is a canary in the coal mine if the current ask is granted.” Advocates on the call argued that FPL’s request to increase base rates by 2.5% would harm Florida residents who are already struggling to pay their bills amid other rising costs. Hearings in the case are set to begin this month. Documents obtained during the rate case discovery period suggest that up to a fifth of FPL customers had their power shut off between March 2024 and February 2025 due to unpaid bills, according to Bradley Marshall, an Earthjustice attorney who is representing Florida Rising, the League of United Latin American Citizens and the Environmental Confederation of Southwest Florida in the upcoming rate case proceedings. While FPL argues that the increase would maintain base rates

Read More »

AI could cut disaster infrastructure losses by 15%, new research finds

Dive Brief: AI applications such as predictive maintenance and digital twins could prevent 15% of projected natural disaster losses to power grids, water systems and transportation infrastructure, amounting to $70 billion in savings worldwide by 2050, according to a recently released Deloitte Center for Sustainable Progress report. Governments and other stakeholders need to overcome technological limitations, financial constraints, regulatory uncertainty, data availability and security concerns before AI-enabled resilience can be widely adopted for infrastructure systems, according to the report. “Investing in AI can help deliver less frequent or shorter power outages, faster system recovery after storms, or fewer damaged or non-usable roads and bridges,” Jennifer Steinmann, Deloitte Global Sustainability Business leader, said in an email. Dive Insight: Natural disasters have caused nearly $200 billion in average annual losses to infrastructure around the world over the past 15 years, according to Deloitte. The report projects that could increase to approximately $460 billion by 2050. Climate change is expected to increase the frequency and intensity of these events, leading to higher losses, according to the report.   “Investing in AI has the greatest near-term potential to help reduce damages from storms, which include tropical cyclones, tornados, thunderstorms, hailstorms, and blizzards,” Steinmann said. “These natural disasters drive the largest share of infrastructure losses, due to their high frequency, wide geographic reach, and increasing intensity.” The AI for Infrastructure Resilience report uses empirical case studies, probabilistic risk modeling and economic forecasting to show how AI can help leaders fortify infrastructure so they can plan, respond and recover more quickly from natural disasters. “AI technologies can offer preventative, detective and responsive solutions to help address natural disasters — but some interventions are more impactful than others,” Steinmann said. Investing in AI while infrastructure is in planning stages accounts for roughly two-thirds of AI’s potential to prevent

Read More »

Anthropic revenue tied to two customers as AI pricing war threatens margins

Anthropic’s meteoric rise to a $5 billion revenue run rate conceals a precarious dependence on just two major customers that account for nearly a quarter of the artificial intelligence company’s income, according to internal data and industry analysis that reveals both the promise and peril of the AI coding boom.The San Francisco-based maker of Claude AI assistant has built its business largely on the back of developer tools, with coding applications Cursor and GitHub Copilot driving approximately $1.2 billion of the company’s $4 billion revenue milestone reached earlier this year, according to sources familiar with the matter. The concentration underscores how quickly Anthropic has captured the lucrative market for AI-powered software development, but also exposes the company to significant risk should either relationship falter.The revenue concentration comes into sharp focus as OpenAI launched GPT-5 this week with dramatically lower pricing that could undercut Anthropic’s premium positioning. Early comparisons show Claude Opus 4 costs roughly seven times more per million tokens than GPT-5 for certain tasks, creating immediate pressure on Anthropic’s enterprise pricing strategy and potentially threatening its hard-won dominance in AI coding.The pricing disparity signals a fundamental shift in competitive dynamics that will force enterprise procurement teams to reconsider vendor relationships built on performance rather than price. Companies managing exponentially growing AI budgets now face comparable capability at a fraction of the cost, creating unavoidable pressure in contract negotiations.

Read More »

Crude Steadies After Volatile Session

Oil closed unchanged after a choppy session as investors assessed whether a prospective deal by the US and Russia to halt the war in Ukraine would receive international support and materially affect Russian crude flows. West Texas Intermediate swung in a roughly $1.80 range before ending the day flat below $64 a barrel, narrowly breaking a six-session losing streak. The US and Russia are aiming to reach a deal that would lock in Russia’s occupation of territory seized during its invasion, according to people familiar with the matter. Washington is working to get buy-in from Ukraine and its European allies on the agreement, which is far from certain. The US and the European Union have targeted Russia’s oil revenues in response to its invasion of Ukraine, with President Donald Trump just this week doubling levies on all Indian imports to 50% as a penalty for the nation taking Russian crude and threatening similar measures against China. Though investors remain skeptical that Europe would support a deal representing a major victory for Russian President Vladimir Putin, the renewed collaboration between Washington and Moscow has lifted expectations that the nation’s crude will continue to flow freely to its two biggest buyers. Still, the market’s focus has shifted to whether US sanctions on Russia — which have crimped Russia’s ability to sell oil and replenish the Kremlin’s war chest in recent months — will remain in place. “A possible truce would be only modestly bearish crude — assuming there is no lifting of EU and US sanctions against Russian energy — since the market does not currently price in much disruption risk,” said Bob McNally, founder of the Rapidan Energy Group and a former White House official. The proposed deal resembles a ceasefire, not a full-fledged peace agreement, he added. At the same

Read More »

OpenAI returns old models to ChatGPT as Sam Altman admits ‘bumpy’ GPT-5 rollout

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now OpenAI co-founder and CEO Sam Altman is publicly acknowledging major hiccups in yesterday’s rollout of GPT-5, the company’s new, flagship large language model (LLM) — advertised as its most powerful and capable yet. Answering user questions in a Reddit AMA (Ask Me Anything) thread and in a post on X this afternoon, Altman admitted to a range of issues that have disrupted the launch of GPT-5, including faulty model switching, poor performance, and user confusion — prompting OpenAI to partially walk back some of its platform changes and reinstate user access to earlier models like GPT-4o. “It was a little more bumpy than we hoped for,” Altman wrote in reply to a question on Reddit regarding the big GPT-5 launch. As for erroneous model performance charts shown off during OpenAI’s GPT-5 livestream, Altman said: “People were working late and were very tired, and human error got in the way. A lot comes together for a livestream in the last hours.” AI Scaling Hits Its Limits Power caps, rising token costs, and inference delays are reshaping enterprise AI. Join our exclusive salon to discover how top teams are: Secure your spot to stay ahead: https://bit.ly/4mwGngO While he noted the accompanying blog post and system card were accurate, the missteps further muddied a launch already facing scrutiny from early users and developers. GPT-5 rollout updates: *We are going to double GPT-5 rate limits for ChatGPT Plus users as we finish rollout. *We will let Plus users choose to continue to use 4o. We will watch usage as we think about how long to offer legacy models for. *GPT-5 will seem smarter starting… — Sam Altman (@sama)

Read More »

SLB, AIQ Join Forces to Boost ADNOC’s Energy Efficiency with Agentic AI

Schlumberger N.V., the energy tech company doing business as SLB, will team up with AIQ, the Abu Dhabi-based AI specialist for the energy sector. SLB said in a media release that the two companies will collaborate to advance AIQ’s development and deployment of its ENERGYai agentic AI solution across ADNOC’s subsurface operations. Built on 70 years of proprietary data and expertise, ENERGYai integrates large language model (LLM) technology with advanced agentic AI, SLB said. This AI is tailored for specific workflows across ADNOC’s upstream value chain. Initial tests using 15 percent of ADNOC’s data, focusing on two fields, showed a seismic agent that boosted seismic interpretation speed by 10 times and improved accuracy by 70 percent, it said. In partnership, SLB and AIQ will design and deploy new agentic AI workflows across ADNOC’s subsurface operations, including geology, seismic exploration, and reservoir modelling. SLB will provide support with its Lumi data and AI platform, and other digital technologies. A scalable version of ENERGYai is under development, which will include AI agents covering tasks within subsurface operations. Deployment will commence in the fourth quarter of 2025, SLB said. “This partnership reflects our vision to harness AI for energy optimization, and we are enthusiastic that SLB shares this outlook. The collaboration between AIQ and SLB enables the development of sophisticated AI workflows that integrate seamlessly with ADNOC’s infrastructure, driving efficiency, scalability, and innovation at every stage of the energy lifecycle”, Dennis Jol, CEO of AIQ, said. “Our ENERGYai agentic AI solution is pioneering in its sheer scale and impact, and we are proud to involve other significant industry technology players in its development and evolution”. ENERGYai will power agentic AI to automate complex, high-impact tasks, increasing efficiency, enhancing decision-making and optimizing production across ADNOC’s operations, SLB said. The partnership between AIQ and SLB demonstrates a mutual

Read More »

AI could cut disaster infrastructure losses by 15%, new research finds

Dive Brief: AI applications such as predictive maintenance and digital twins could prevent 15% of projected natural disaster losses to power grids, water systems and transportation infrastructure, amounting to $70 billion in savings worldwide by 2050, according to a recently released Deloitte Center for Sustainable Progress report. Governments and other stakeholders need to overcome technological limitations, financial constraints, regulatory uncertainty, data availability and security concerns before AI-enabled resilience can be widely adopted for infrastructure systems, according to the report. “Investing in AI can help deliver less frequent or shorter power outages, faster system recovery after storms, or fewer damaged or non-usable roads and bridges,” Jennifer Steinmann, Deloitte Global Sustainability Business leader, said in an email. Dive Insight: Natural disasters have caused nearly $200 billion in average annual losses to infrastructure around the world over the past 15 years, according to Deloitte. The report projects that could increase to approximately $460 billion by 2050. Climate change is expected to increase the frequency and intensity of these events, leading to higher losses, according to the report.   “Investing in AI has the greatest near-term potential to help reduce damages from storms, which include tropical cyclones, tornados, thunderstorms, hailstorms, and blizzards,” Steinmann said. “These natural disasters drive the largest share of infrastructure losses, due to their high frequency, wide geographic reach, and increasing intensity.” The AI for Infrastructure Resilience report uses empirical case studies, probabilistic risk modeling and economic forecasting to show how AI can help leaders fortify infrastructure so they can plan, respond and recover more quickly from natural disasters. “AI technologies can offer preventative, detective and responsive solutions to help address natural disasters — but some interventions are more impactful than others,” Steinmann said. Investing in AI while infrastructure is in planning stages accounts for roughly two-thirds of AI’s potential to prevent

Read More »

Lawmaker, AARP call for nationwide utility commission reforms to stop rising electric bills

Dive Brief: Utility commissions across the nation are “broken” and must be reformed to stop rising electric costs, a coalition of lawmakers, consumer and environmental advocates said Tuesday during a joint press conference. Speakers at the press conference said it seemed likely that the Florida Public Service Commission would “rubber stamp” a $9.8 billion base rate increase proposed by Florida Power & Light, and argued that regulators have become too deferential to utility requests. U.S. Rep. Kathy Castor, D-Fla., reintroduced legislation on Tuesday that would prohibit utility companies from using ratepayer dollars to fund political lobbying and advertising. Dive Insight: What started as a Tuesday morning press conference drawing attention to the plight of Floridians struggling to pay rising electric bills quickly escalated to calls for legislative reforms of utility commissions across the nation. “When we have a public service commission that does not look out for the best interest of the customers but rather the utility company itself, there is a problem,” Zayne Smith, senior director of advocacy at AARP Florida, said. “This is a canary in the coal mine if the current ask is granted.” Advocates on the call argued that FPL’s request to increase base rates by 2.5% would harm Florida residents who are already struggling to pay their bills amid other rising costs. Hearings in the case are set to begin this month. Documents obtained during the rate case discovery period suggest that up to a fifth of FPL customers had their power shut off between March 2024 and February 2025 due to unpaid bills, according to Bradley Marshall, an Earthjustice attorney who is representing Florida Rising, the League of United Latin American Citizens and the Environmental Confederation of Southwest Florida in the upcoming rate case proceedings. While FPL argues that the increase would maintain base rates

Read More »

Crude Steadies After Volatile Session

Oil closed unchanged after a choppy session as investors assessed whether a prospective deal by the US and Russia to halt the war in Ukraine would receive international support and materially affect Russian crude flows. West Texas Intermediate swung in a roughly $1.80 range before ending the day flat below $64 a barrel, narrowly breaking a six-session losing streak. The US and Russia are aiming to reach a deal that would lock in Russia’s occupation of territory seized during its invasion, according to people familiar with the matter. Washington is working to get buy-in from Ukraine and its European allies on the agreement, which is far from certain. The US and the European Union have targeted Russia’s oil revenues in response to its invasion of Ukraine, with President Donald Trump just this week doubling levies on all Indian imports to 50% as a penalty for the nation taking Russian crude and threatening similar measures against China. Though investors remain skeptical that Europe would support a deal representing a major victory for Russian President Vladimir Putin, the renewed collaboration between Washington and Moscow has lifted expectations that the nation’s crude will continue to flow freely to its two biggest buyers. Still, the market’s focus has shifted to whether US sanctions on Russia — which have crimped Russia’s ability to sell oil and replenish the Kremlin’s war chest in recent months — will remain in place. “A possible truce would be only modestly bearish crude — assuming there is no lifting of EU and US sanctions against Russian energy — since the market does not currently price in much disruption risk,” said Bob McNally, founder of the Rapidan Energy Group and a former White House official. The proposed deal resembles a ceasefire, not a full-fledged peace agreement, he added. At the same

Read More »

SLB, AIQ Join Forces to Boost ADNOC’s Energy Efficiency with Agentic AI

Schlumberger N.V., the energy tech company doing business as SLB, will team up with AIQ, the Abu Dhabi-based AI specialist for the energy sector. SLB said in a media release that the two companies will collaborate to advance AIQ’s development and deployment of its ENERGYai agentic AI solution across ADNOC’s subsurface operations. Built on 70 years of proprietary data and expertise, ENERGYai integrates large language model (LLM) technology with advanced agentic AI, SLB said. This AI is tailored for specific workflows across ADNOC’s upstream value chain. Initial tests using 15 percent of ADNOC’s data, focusing on two fields, showed a seismic agent that boosted seismic interpretation speed by 10 times and improved accuracy by 70 percent, it said. In partnership, SLB and AIQ will design and deploy new agentic AI workflows across ADNOC’s subsurface operations, including geology, seismic exploration, and reservoir modelling. SLB will provide support with its Lumi data and AI platform, and other digital technologies. A scalable version of ENERGYai is under development, which will include AI agents covering tasks within subsurface operations. Deployment will commence in the fourth quarter of 2025, SLB said. “This partnership reflects our vision to harness AI for energy optimization, and we are enthusiastic that SLB shares this outlook. The collaboration between AIQ and SLB enables the development of sophisticated AI workflows that integrate seamlessly with ADNOC’s infrastructure, driving efficiency, scalability, and innovation at every stage of the energy lifecycle”, Dennis Jol, CEO of AIQ, said. “Our ENERGYai agentic AI solution is pioneering in its sheer scale and impact, and we are proud to involve other significant industry technology players in its development and evolution”. ENERGYai will power agentic AI to automate complex, high-impact tasks, increasing efficiency, enhancing decision-making and optimizing production across ADNOC’s operations, SLB said. The partnership between AIQ and SLB demonstrates a mutual

Read More »

Diamondback Energy Narrows Production Guidance as Net Income Dips in Q2

Diamondback Energy, Inc. reported a net income of $699 million for the second quarter of 2025, well below the $837 million reported in the corresponding quarter of 2024. However, the first half net income of $2.1 billion surged past the $1.6 billion reported in H1 2024. The company said in its report that production for the quarter averaged 919,000 barrels of oil equivalent per day (boe/d). Oil production averaged 495,700 barrels per day (mbo/d). Diamondback said it put 108 wells into production in the Midland basin, and a further eight wells into production in the Delaware Basin. During the first half of the year, Diamondback said that 224 operated wells entered production in the Midland Basin with 15 more wells entering production in the Delaware Basin. In the second quarter of 2025, Diamondback said it had invested $707 million in operated drilling and completions, $90 million in capital workovers, non-operated drilling, completions, and science, and $67 million in infrastructure, environmental, and midstream projects, totaling $864 million in cash capital expenditures. For the first half of 2025, the company spent $1.6 billion on operated drilling and completions, $111 million on capital workovers, non-operated drilling, completions, and science, and $124 million on infrastructure, environmental, and midstream activities, amounting to a total of $1.8 billion in cash capital expenditures, it said. Diamondback has also narrowed its full-year oil production guidance to 485 – 492 mbo/d and increased annual boe guidance by 2 percent to 890 – 910 Mboe/d, it said. Furthermore,  Diamondback noted that the guidance does not reflect the pending acquisition by its publicly traded subsidiary, Viper Energy, Inc., of Sitio Royalties Corp., which is expected to close in the third quarter of 2025, subject to stockholder approval and the fulfillment or waiver of other typical closing conditions. To contact the author,

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Blackstone to Buy Enverus

In a statement posted on its website recently, Blackstone announced that private equity funds affiliated with the company have entered into a definitive agreement to acquire Enverus from Hellman & Friedman and Genstar Capital. Terms of the transaction were not disclosed in the statement, which noted that the deal is expected to close by the end of the year, subject to customary conditions. Citi and Morgan Stanley & Co. LLC acted as financial advisors and Kirkland & Ellis LLP acted as legal advisor to Enverus and Hellman & Friedman. RBC Capital Markets, LLC served as financial advisor and Simpson Thacher & Bartlett LLP served as legal advisor to Blackstone. Blackstone’s core private equity strategy, Blackstone Energy Transition Partners, and Blackstone’s private equity strategy for individual investors are each expected to invest in Enverus as part of this transaction, Blackstone revealed in the statement. “Enverus represents the latest in a number of recent transactions Blackstone has announced behind its high-conviction investment themes in electricity demand growth and the ongoing energy transition,” Blackstone said in its statement, highlighting its deals with Potomac Energy Center, Sediver, Westwood Professional Services, Trystar, and others. Eli Nagler and Bilal Khan, Senior Managing Directors at Blackstone, said in the statement, “as the leading energy-dedicated SaaS platform, Enverus’ advanced analytics and technology solutions are critical for its customers as they navigate unprecedented AI-driven electricity demand growth and the broader energy transition”. “We believe Blackstone’s energy market expertise and network can further enhance the company’s growth trajectory, and look forward to partnering with Manuj [Nikhanj, Enverus CEO] and the Enverus team,” they added. In the statement, Nikhanj said, “this is more than a transaction – it’s a launchpad”. “Blackstone shares our conviction that the future of energy will be defined by AI, real-time intelligence, and bold execution. Their global reach and deep expertise

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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Three Aberdeen oil company headquarters sell for £45m

Three Aberdeen oil company headquarters have been sold in a deal worth £45 million. The CNOOC, Apache and Taqa buildings at the Prime Four business park in Kingswells have been acquired by EEH Ventures. The trio of buildings, totalling 275,000 sq ft, were previously owned by Canadian firm BMO. The financial services powerhouse first bought the buildings in 2014 but took the decision to sell the buildings as part of a “long-standing strategy to reduce their office exposure across the UK”. The deal was the largest to take place throughout Scotland during the last quarter of 2024. Trio of buildings snapped up London headquartered EEH Ventures was founded in 2013 and owns a number of residential, offices, shopping centres and hotels throughout the UK. All three Kingswells-based buildings were pre-let, designed and constructed by Aberdeen property developer Drum in 2012 on a 15-year lease. © Supplied by CBREThe Aberdeen headquarters of Taqa. Image: CBRE The North Sea headquarters of Middle-East oil firm Taqa has previously been described as “an amazing success story in the Granite City”. Taqa announced in 2023 that it intends to cease production from all of its UK North Sea platforms by the end of 2027. Meanwhile, Apache revealed at the end of last year it is planning to exit the North Sea by the end of 2029 blaming the windfall tax. The US firm first entered the North Sea in 2003 but will wrap up all of its UK operations by 2030. Aberdeen big deals The Prime Four acquisition wasn’t the biggest Granite City commercial property sale of 2024. American private equity firm Lone Star bought Union Square shopping centre from Hammerson for £111m. © ShutterstockAberdeen city centre. Hammerson, who also built the property, had originally been seeking £150m. BP’s North Sea headquarters in Stoneywood, Aberdeen, was also sold. Manchester-based

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2025 ransomware predictions, trends, and how to prepare

Zscaler ThreatLabz research team has revealed critical insights and predictions on ransomware trends for 2025. The latest Ransomware Report uncovered a surge in sophisticated tactics and extortion attacks. As ransomware remains a key concern for CISOs and CIOs, the report sheds light on actionable strategies to mitigate risks. Top Ransomware Predictions for 2025: ● AI-Powered Social Engineering: In 2025, GenAI will fuel voice phishing (vishing) attacks. With the proliferation of GenAI-based tooling, initial access broker groups will increasingly leverage AI-generated voices; which sound more and more realistic by adopting local accents and dialects to enhance credibility and success rates. ● The Trifecta of Social Engineering Attacks: Vishing, Ransomware and Data Exfiltration. Additionally, sophisticated ransomware groups, like the Dark Angels, will continue the trend of low-volume, high-impact attacks; preferring to focus on an individual company, stealing vast amounts of data without encrypting files, and evading media and law enforcement scrutiny. ● Targeted Industries Under Siege: Manufacturing, healthcare, education, energy will remain primary targets, with no slowdown in attacks expected. ● New SEC Regulations Drive Increased Transparency: 2025 will see an uptick in reported ransomware attacks and payouts due to new, tighter SEC requirements mandating that public companies report material incidents within four business days. ● Ransomware Payouts Are on the Rise: In 2025 ransom demands will most likely increase due to an evolving ecosystem of cybercrime groups, specializing in designated attack tactics, and collaboration by these groups that have entered a sophisticated profit sharing model using Ransomware-as-a-Service. To combat damaging ransomware attacks, Zscaler ThreatLabz recommends the following strategies. ● Fighting AI with AI: As threat actors use AI to identify vulnerabilities, organizations must counter with AI-powered zero trust security systems that detect and mitigate new threats. ● Advantages of adopting a Zero Trust architecture: A Zero Trust cloud security platform stops

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Anthropic revenue tied to two customers as AI pricing war threatens margins

Anthropic’s meteoric rise to a $5 billion revenue run rate conceals a precarious dependence on just two major customers that account for nearly a quarter of the artificial intelligence company’s income, according to internal data and industry analysis that reveals both the promise and peril of the AI coding boom.The San Francisco-based maker of Claude AI assistant has built its business largely on the back of developer tools, with coding applications Cursor and GitHub Copilot driving approximately $1.2 billion of the company’s $4 billion revenue milestone reached earlier this year, according to sources familiar with the matter. The concentration underscores how quickly Anthropic has captured the lucrative market for AI-powered software development, but also exposes the company to significant risk should either relationship falter.The revenue concentration comes into sharp focus as OpenAI launched GPT-5 this week with dramatically lower pricing that could undercut Anthropic’s premium positioning. Early comparisons show Claude Opus 4 costs roughly seven times more per million tokens than GPT-5 for certain tasks, creating immediate pressure on Anthropic’s enterprise pricing strategy and potentially threatening its hard-won dominance in AI coding.The pricing disparity signals a fundamental shift in competitive dynamics that will force enterprise procurement teams to reconsider vendor relationships built on performance rather than price. Companies managing exponentially growing AI budgets now face comparable capability at a fraction of the cost, creating unavoidable pressure in contract negotiations.

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OpenAI returns old models to ChatGPT as Sam Altman admits ‘bumpy’ GPT-5 rollout

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now OpenAI co-founder and CEO Sam Altman is publicly acknowledging major hiccups in yesterday’s rollout of GPT-5, the company’s new, flagship large language model (LLM) — advertised as its most powerful and capable yet. Answering user questions in a Reddit AMA (Ask Me Anything) thread and in a post on X this afternoon, Altman admitted to a range of issues that have disrupted the launch of GPT-5, including faulty model switching, poor performance, and user confusion — prompting OpenAI to partially walk back some of its platform changes and reinstate user access to earlier models like GPT-4o. “It was a little more bumpy than we hoped for,” Altman wrote in reply to a question on Reddit regarding the big GPT-5 launch. As for erroneous model performance charts shown off during OpenAI’s GPT-5 livestream, Altman said: “People were working late and were very tired, and human error got in the way. A lot comes together for a livestream in the last hours.” AI Scaling Hits Its Limits Power caps, rising token costs, and inference delays are reshaping enterprise AI. Join our exclusive salon to discover how top teams are: Secure your spot to stay ahead: https://bit.ly/4mwGngO While he noted the accompanying blog post and system card were accurate, the missteps further muddied a launch already facing scrutiny from early users and developers. GPT-5 rollout updates: *We are going to double GPT-5 rate limits for ChatGPT Plus users as we finish rollout. *We will let Plus users choose to continue to use 4o. We will watch usage as we think about how long to offer legacy models for. *GPT-5 will seem smarter starting… — Sam Altman (@sama)

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OpenAI’s GPT-5 rollout is not going smoothly

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The launch of OpenAI’s long anticipated new model, GPT-5, is off to a rocky start to say the least. Even forgiving errors in charts and voice demoes during yesterday’s livestreamed presentation of the new model (actually four separate models, and a ‘Thinking’ mode that can be engaged for three of them), a number of user reports have emerged since GPT-5’s release showing it erring badly when solving relatively simple problems that preceding OpenAI models — and rivals from competing AI labs — answer correctly. For example, data scientist Colin Fraser posted screenshots showing GPT-5 getting a math proof wrong (whether 8.888 repeating is equal to 9 — it is of course, not). It also failed on a simple algebra arithmetic problem that elementary schoolers could probably nail, 5.9 = x + 5.11. AI Scaling Hits Its Limits Power caps, rising token costs, and inference delays are reshaping enterprise AI. Join our exclusive salon to discover how top teams are: Secure your spot to stay ahead: https://bit.ly/4mwGngO Using GPT-5 to judge OpenAI’s own erroneous presentation charts also did not yield helpful or correct responses. It also failed on this trickier math word problem below (which, to be fair, stumped this human at first…though Elon Musk’s Groq 4 AI answered it correctly. For a hint, think of the fact that flagstones in this case can’t be divided into smaller portions. They must remain in tact as 80 separate units, so no halves or quarters). Not as good at coding as benchmarks indicate Even though OpenAI’s internal benchmarks and some third-party external ones have shown GPT-5 to outperform all other models at coding, it appears that in

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The Download: GPT-5 is here, and Intel’s CEO drama

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. GPT-5 is here. Now what? At long last, OpenAI has released GPT-5. The new system abandons the distinction between OpenAI’s flagship models and its o series of reasoning models, automatically routing user queries to a fast nonreasoning model or a slower reasoning version.It is now available to everyone through the ChatGPT web interface—though nonpaying users may need to wait a few days to gain full access.  GPT-5 will furnish a more pleasant and seamless user experience. That’s not nothing, but it falls far short of the transformative AI future that Sam Altman has spent much of the past year hyping. Read the full story.
—Grace Huckins
The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Donald Trump has called on Intel’s CEO to resignHe claims Lip-Bu Tan is “conflicted” by his business ties to China. (FT $)+ Tan was already at odds with some of his board members before the intervention. (WSJ $)+ But the CEO claims he’s got the full backing of his board presently. (Bloomberg $) 2 Wildfires are raging across the western USAnd strong winds are rapidly spreading them across parched land. (WP $)+ The fires have a devastating effect on human health. (The Guardian)+ How AI can help spot wildfires. (MIT Technology Review) 3 Meta’s AI superintelligence team is growingThe new TBD Lab is currently working on the newest version of its Llama model. (WSJ $)+ Meta has also been busy acquiring an AI audio firm. (The Information $)+ Elsewhere, Tesla has disbanded its supercomputer team. (Bloomberg $) 4 A man suffered psychosis after ChatGPT suggested he take sodium bromideThe 60-year old ended up with bromism. (Ars Technica)+ He’d been taking it for three months before he went to the ER. (The Independent)+ AI companies have stopped warning you that their chatbots aren’t doctors. (MIT Technology Review) 5 Meet Silicon Valley’s AI RationalistsThe group’s influence has spread through tech giants and AI pioneers alike. (NYT $)+ Inside effective altruism, where the far future counts a lot more than the present. (MIT Technology Review) 6 An CBP agent wore Meta smart glasses during an immigration raidSignalling that law enforcement are interested in this technology. (404 Media)

7 The US military has a new use for Tesla CybertrucksNamely, aiming missiles at them. (The Verge)+ It wants to learn how to destroy them if enemies start deploying them. (The Register) 8 South Korea will decide whether to let Google Maps work 🗺️The decades-old debate could be laid to rest next week. (The Guardian)+ The country has previously rejected Google’s requests on security grounds. (Reuters) 9 Instagram’s new location-sharing feature is hereIt’s a bid to make the app more participatory and social. (Insider $)+ It also looks a whole lot like Snap’s map. (Fast Company $)10 These headphones could help you to focus 🎧Startup Neurable wants to track your brain activity to prevent you getting distracted. (Vox)+ A new AI translation system for headphones clones multiple voices simultaneously. (MIT Technology Review) Quote of the day “I don’t think we should think of them as the ‘new Google’ yet.” —Brian Chesky, Airbnb’s CEO, questions the hype swirling around AI agents’ capabilities, TechCrunch reports.
One more thing
The arrhythmia of our current ageArrhythmia means the heart beats, but not in proper time—a critical rhythm of life suddenly going rogue and unpredictable. It’s frightening to experience, but what if it’s also a good metaphor for our current times? That a pulse once seemingly so steady is now less sure.Perhaps this wobbliness might be extrapolated into a broader sense of life in the 2020s.Maybe you feel it, too—that the world seems to have skipped more than a beat or two as demagogues rant and democracy shudders, hurricanes rage, and glaciers dissolve. We can’t stop watching tiny screens where influencers pitch products we don’t need alongside news about senseless wars that destroy, murder, and maim tens-of-thousands.All the resulting anxiety has been hard on our hearts—literally and metaphorically. Read the full story. —David Ewing Duncan

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ChatGPT users dismayed as OpenAI pulls popular models GPT-4o, o3 and more — enterprise API remains (for now)

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now After announcing the release of its newest flagship model family, GPT-5, OpenAI said the model will power all of ChatGPT, and that it will sunset the existing models in the chat platform.  OpenAI, through a spokesperson, told VentureBeat that GPT-5 “will replace all other models in ChatGPT, so users don’t have to pick depending on each task, which takes effect once you have access to GPT-5.” This means people can no longer choose GPT-4o, o3, o4-mini or o4-mini-high.  With GPT-5 access rolling out to ChatGPT Plus, Free, Pro and Team users starting, only the Enterprise and Edu tiers can still use the “legacy” models for 60 days.  The news came as a surprise to many ChatGPT users, many of whom came to rely on their chosen models to run their everyday queries. Some people said the adjustment would take some time getting used to, mainly because they had based workflows on how the model interacted with them or typical response times. AI Scaling Hits Its Limits Power caps, rising token costs, and inference delays are reshaping enterprise AI. Join our exclusive salon to discover how top teams are: Secure your spot to stay ahead: https://bit.ly/4mwGngO Although I enjoy GPT-4.1, I am saddened by the news that you’re also apparently sunsetting GPT-4.5. For me, it’s been way better in textual and conceptual analysis than any other GPT-4x series model, ever. At the very least, please don’t make ChatGPT users go back to 4o. — Harry Horsperg ? (@horsperg) April 15, 2025 Other users claimed they developed “a connection” to their chosen model and found a demo in the livestream announcement asking GPT-4o to write its

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Black Hat 2025: Why your AI tools are becoming the next insider threat

Cloud intrusions increased by 136% in the past six months. North Korean operatives infiltrated 320 companies using AI-generated identities. Scattered Spider now deploys ransomware in under 24 hours. However, at Black Hat 2025, the security industry demonstrated that it finally has an answer that works: agentic AI, delivering measurable results, not promises.CrowdStrike’s recent identification of 28 North Korean operatives embedded as remote IT workers, part of a broader campaign affecting 320 companies, demonstrates how agentic AI is evolving from concept to practical threat detection.While nearly every vendor at Black Hat 2025 had performance metrics available, either from beta programs in process or full-production agentic AI deployments, the strongest theme was operational readiness over hype or theoretical claims.CISOs VentureBeat spoke with at Black Hat are reporting the ability to process significantly more alerts with current staffing levels, with investigation times improving substantially. However, specific gains depend on the implementation maturity and complexity of the use case. What’s notable is the transition from aspirational roadmaps to real-world outcomes.

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Lawmaker, AARP call for nationwide utility commission reforms to stop rising electric bills

Dive Brief: Utility commissions across the nation are “broken” and must be reformed to stop rising electric costs, a coalition of lawmakers, consumer and environmental advocates said Tuesday during a joint press conference. Speakers at the press conference said it seemed likely that the Florida Public Service Commission would “rubber stamp” a $9.8 billion base rate increase proposed by Florida Power & Light, and argued that regulators have become too deferential to utility requests. U.S. Rep. Kathy Castor, D-Fla., reintroduced legislation on Tuesday that would prohibit utility companies from using ratepayer dollars to fund political lobbying and advertising. Dive Insight: What started as a Tuesday morning press conference drawing attention to the plight of Floridians struggling to pay rising electric bills quickly escalated to calls for legislative reforms of utility commissions across the nation. “When we have a public service commission that does not look out for the best interest of the customers but rather the utility company itself, there is a problem,” Zayne Smith, senior director of advocacy at AARP Florida, said. “This is a canary in the coal mine if the current ask is granted.” Advocates on the call argued that FPL’s request to increase base rates by 2.5% would harm Florida residents who are already struggling to pay their bills amid other rising costs. Hearings in the case are set to begin this month. Documents obtained during the rate case discovery period suggest that up to a fifth of FPL customers had their power shut off between March 2024 and February 2025 due to unpaid bills, according to Bradley Marshall, an Earthjustice attorney who is representing Florida Rising, the League of United Latin American Citizens and the Environmental Confederation of Southwest Florida in the upcoming rate case proceedings. While FPL argues that the increase would maintain base rates

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AI could cut disaster infrastructure losses by 15%, new research finds

Dive Brief: AI applications such as predictive maintenance and digital twins could prevent 15% of projected natural disaster losses to power grids, water systems and transportation infrastructure, amounting to $70 billion in savings worldwide by 2050, according to a recently released Deloitte Center for Sustainable Progress report. Governments and other stakeholders need to overcome technological limitations, financial constraints, regulatory uncertainty, data availability and security concerns before AI-enabled resilience can be widely adopted for infrastructure systems, according to the report. “Investing in AI can help deliver less frequent or shorter power outages, faster system recovery after storms, or fewer damaged or non-usable roads and bridges,” Jennifer Steinmann, Deloitte Global Sustainability Business leader, said in an email. Dive Insight: Natural disasters have caused nearly $200 billion in average annual losses to infrastructure around the world over the past 15 years, according to Deloitte. The report projects that could increase to approximately $460 billion by 2050. Climate change is expected to increase the frequency and intensity of these events, leading to higher losses, according to the report.   “Investing in AI has the greatest near-term potential to help reduce damages from storms, which include tropical cyclones, tornados, thunderstorms, hailstorms, and blizzards,” Steinmann said. “These natural disasters drive the largest share of infrastructure losses, due to their high frequency, wide geographic reach, and increasing intensity.” The AI for Infrastructure Resilience report uses empirical case studies, probabilistic risk modeling and economic forecasting to show how AI can help leaders fortify infrastructure so they can plan, respond and recover more quickly from natural disasters. “AI technologies can offer preventative, detective and responsive solutions to help address natural disasters — but some interventions are more impactful than others,” Steinmann said. Investing in AI while infrastructure is in planning stages accounts for roughly two-thirds of AI’s potential to prevent

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Anthropic revenue tied to two customers as AI pricing war threatens margins

Anthropic’s meteoric rise to a $5 billion revenue run rate conceals a precarious dependence on just two major customers that account for nearly a quarter of the artificial intelligence company’s income, according to internal data and industry analysis that reveals both the promise and peril of the AI coding boom.The San Francisco-based maker of Claude AI assistant has built its business largely on the back of developer tools, with coding applications Cursor and GitHub Copilot driving approximately $1.2 billion of the company’s $4 billion revenue milestone reached earlier this year, according to sources familiar with the matter. The concentration underscores how quickly Anthropic has captured the lucrative market for AI-powered software development, but also exposes the company to significant risk should either relationship falter.The revenue concentration comes into sharp focus as OpenAI launched GPT-5 this week with dramatically lower pricing that could undercut Anthropic’s premium positioning. Early comparisons show Claude Opus 4 costs roughly seven times more per million tokens than GPT-5 for certain tasks, creating immediate pressure on Anthropic’s enterprise pricing strategy and potentially threatening its hard-won dominance in AI coding.The pricing disparity signals a fundamental shift in competitive dynamics that will force enterprise procurement teams to reconsider vendor relationships built on performance rather than price. Companies managing exponentially growing AI budgets now face comparable capability at a fraction of the cost, creating unavoidable pressure in contract negotiations.

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Crude Steadies After Volatile Session

Oil closed unchanged after a choppy session as investors assessed whether a prospective deal by the US and Russia to halt the war in Ukraine would receive international support and materially affect Russian crude flows. West Texas Intermediate swung in a roughly $1.80 range before ending the day flat below $64 a barrel, narrowly breaking a six-session losing streak. The US and Russia are aiming to reach a deal that would lock in Russia’s occupation of territory seized during its invasion, according to people familiar with the matter. Washington is working to get buy-in from Ukraine and its European allies on the agreement, which is far from certain. The US and the European Union have targeted Russia’s oil revenues in response to its invasion of Ukraine, with President Donald Trump just this week doubling levies on all Indian imports to 50% as a penalty for the nation taking Russian crude and threatening similar measures against China. Though investors remain skeptical that Europe would support a deal representing a major victory for Russian President Vladimir Putin, the renewed collaboration between Washington and Moscow has lifted expectations that the nation’s crude will continue to flow freely to its two biggest buyers. Still, the market’s focus has shifted to whether US sanctions on Russia — which have crimped Russia’s ability to sell oil and replenish the Kremlin’s war chest in recent months — will remain in place. “A possible truce would be only modestly bearish crude — assuming there is no lifting of EU and US sanctions against Russian energy — since the market does not currently price in much disruption risk,” said Bob McNally, founder of the Rapidan Energy Group and a former White House official. The proposed deal resembles a ceasefire, not a full-fledged peace agreement, he added. At the same

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OpenAI returns old models to ChatGPT as Sam Altman admits ‘bumpy’ GPT-5 rollout

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now OpenAI co-founder and CEO Sam Altman is publicly acknowledging major hiccups in yesterday’s rollout of GPT-5, the company’s new, flagship large language model (LLM) — advertised as its most powerful and capable yet. Answering user questions in a Reddit AMA (Ask Me Anything) thread and in a post on X this afternoon, Altman admitted to a range of issues that have disrupted the launch of GPT-5, including faulty model switching, poor performance, and user confusion — prompting OpenAI to partially walk back some of its platform changes and reinstate user access to earlier models like GPT-4o. “It was a little more bumpy than we hoped for,” Altman wrote in reply to a question on Reddit regarding the big GPT-5 launch. As for erroneous model performance charts shown off during OpenAI’s GPT-5 livestream, Altman said: “People were working late and were very tired, and human error got in the way. A lot comes together for a livestream in the last hours.” AI Scaling Hits Its Limits Power caps, rising token costs, and inference delays are reshaping enterprise AI. Join our exclusive salon to discover how top teams are: Secure your spot to stay ahead: https://bit.ly/4mwGngO While he noted the accompanying blog post and system card were accurate, the missteps further muddied a launch already facing scrutiny from early users and developers. GPT-5 rollout updates: *We are going to double GPT-5 rate limits for ChatGPT Plus users as we finish rollout. *We will let Plus users choose to continue to use 4o. We will watch usage as we think about how long to offer legacy models for. *GPT-5 will seem smarter starting… — Sam Altman (@sama)

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SLB, AIQ Join Forces to Boost ADNOC’s Energy Efficiency with Agentic AI

Schlumberger N.V., the energy tech company doing business as SLB, will team up with AIQ, the Abu Dhabi-based AI specialist for the energy sector. SLB said in a media release that the two companies will collaborate to advance AIQ’s development and deployment of its ENERGYai agentic AI solution across ADNOC’s subsurface operations. Built on 70 years of proprietary data and expertise, ENERGYai integrates large language model (LLM) technology with advanced agentic AI, SLB said. This AI is tailored for specific workflows across ADNOC’s upstream value chain. Initial tests using 15 percent of ADNOC’s data, focusing on two fields, showed a seismic agent that boosted seismic interpretation speed by 10 times and improved accuracy by 70 percent, it said. In partnership, SLB and AIQ will design and deploy new agentic AI workflows across ADNOC’s subsurface operations, including geology, seismic exploration, and reservoir modelling. SLB will provide support with its Lumi data and AI platform, and other digital technologies. A scalable version of ENERGYai is under development, which will include AI agents covering tasks within subsurface operations. Deployment will commence in the fourth quarter of 2025, SLB said. “This partnership reflects our vision to harness AI for energy optimization, and we are enthusiastic that SLB shares this outlook. The collaboration between AIQ and SLB enables the development of sophisticated AI workflows that integrate seamlessly with ADNOC’s infrastructure, driving efficiency, scalability, and innovation at every stage of the energy lifecycle”, Dennis Jol, CEO of AIQ, said. “Our ENERGYai agentic AI solution is pioneering in its sheer scale and impact, and we are proud to involve other significant industry technology players in its development and evolution”. ENERGYai will power agentic AI to automate complex, high-impact tasks, increasing efficiency, enhancing decision-making and optimizing production across ADNOC’s operations, SLB said. The partnership between AIQ and SLB demonstrates a mutual

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