The CEO of British telecom giant BT warns AI could lead to further job cuts at the firm
The latest is Allison Kirkby, the CEO of British telecommunications giant BT. In an interview with the Financial Times published Sunday, Kirkby said that advancements in AI technology could lead to further cuts at the firm.
BT announced in 2023 plans to cut up to 55,000 jobs by 2030 as part of a push to reduce its cost base by the end of the decade.
But Kirkby told the FT that this plan "did not reflect" AI's "full potential."
"Depending on what we learn from AI ... there may be an opportunity for BT to be even smaller by the end of the decade," she said.
BT has turned to AI in recent years to reinvent processes in areas like customer service.
The company announced in 2024 that it was using generative AI to aid sales and support operations across BT and EE, its mobile network division. In December, the firm said that EE's virtual assistant, dubbed "Aimee," was handling up to 60,000 customer conversations a week.
BT is not alone in its attempts to automate such tasks. Swedish payments company Klarna has been open about its efforts to use AI to run its customer service desks.
In 2024, Klarna said its OpenAI-powered AI assistant was carrying out the work of 700 full-time customer service agents.
The firm's CEO, Sebastian Siemiatkowski, has been a strong advocate of AI but has since softened his position on the tech, saying in May that certain cost-cutting efforts had gone too far and that Klarna was now recruiting for its customer service operation, Bloomberg reported.
But Siemiatkowski has remained confident that AI poses a major threat to white-collar jobs going forward.
Speaking on The Times Tech podcast earlier this month, Siemiatkowski said that the technology had played a major role in "efficiency gains" at Klarna and that its workforce had reduced from about 5,500 to 3,000 people in the last two years as a result.
"My suspicion again is that there will be an implication for white-collar jobs, and when that happens, that usually leads to at least a recession in the short term," he added. "Unfortunately, I don't see how we could avoid that, with what's happening from a technology perspective."
AI companies themselves have sounded the alarm that their product could significantly impact the job market.
Anthropic CEO Dario Amodei recently warned that AI could eliminate half of all entry-level white-collar jobs within the next five years.
"We, as the producers of this technology, have a duty and an obligation to be honest about what is coming," Amodei told Axios in May. "I don't think this is on people's radar.
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Miami Herald
32 minutes ago
- Miami Herald
AI overviews for attorneys: Winning the new search game
AI overviews for attorneys: Winning the new search game Imagine you are someone injured and in the hospital after a car crash. You grab your phone and search for "what to do after a car accident." However, you don't see the 10 or so site links that would typically show up on your screen. Instead, you see an AI-generated answer at the top of the search results, laying out a response to your query, along with links to the sources behind that answer. This scenario is no longer hypothetical. It's Google's AI Overviews. And it's here. In this article, Consultwebs discuss this new digital marketing platform as well as strategies that attorneys can use to optimize their online presence for AI Overviews, including providing content and using other methods that align with E-E-A-T - Experience, Expertise, Authoritativeness, and Trustworthiness - the core framework Google uses to evaluate content quality. The Changing Legal Search Landscape By this point, you're likely familiar with AI-generated answers to searches. The importance of organic search or paid search cannot be downplayed. However, these AI-generated results are changing how people search for legal help online. On the one hand, the shift in how potential law firm clients seek information presents a threat. But it also presents an opportunity. The threat lies in the possibility of law firms seeing lower click-through rates and traffic from informational AI results. The opportunity lies in the potential for law firms to increase their online visibility. Proprietary Consultwebs data shows higher conversion rates from AI sources; the higher rate is likely due to the higher level of intent behind the user's query. So, while the quantity of site traffic may decrease, the quality of that traffic will likely increase and lead to a higher number of leads for law firms. What Are AI Overviews? AI Overviews are Google's AI-generated answers that appear above traditional organic results. They directly answer user questions by combining content from multiple sources from across the web. AI Overviews appear when people ask legal questions like "How long do I have to file a personal injury claim in Texas?" or "What happens at a first DUI court appearance?" Instead of requiring users to click on links and search for answers on those websites, the overview provides direct answers. Google marks the summaries with an "AI Overview" label. They occupy the coveted "position zero" spot, which is the first thing users see before they see any other search results. The overview typically includes the following elements: Direct answer to the queryKey contextual information relevant to the legal questionOccasionally, related questions that help visitors expand searchList of sources for the summary, which can include law firm websites So, if a potential client searches for a response to a legal question and sees your law firm as a source in AI Overviews, it will help to establish your law firm's credibility and authority. How AI-Enhanced Search Affects Client Research Behavior Potential law firm clients can now get answers to their legal questions without having to visit law firm websites. For instance, when someone searches "statute of limitations car accident Florida," they will see the answer is "four years" in AI Overviews. Note: This result is also a great example of how AI can get things wrong, as Florida changed the statute of limitations to two years from the injury date in March 2023. This shift in search results could move a potential client's initial research away from websites and into Google's environment. Why AI Overviews Matter for Your Law Practice To get a better understanding of how Google's AI Overviews could affect your law firm's marketing campaign, consider the following three areas. Competitive Advantage Online visibility leads to citations and strengthens your position in AI-generated results. Lawyers can gain an edge when they optimize for AI Overviews, unlike competitors who focus only on traditional SEO. Firms that adapt can establish themselves as authoritative sources before market saturation. Google's AI does not necessarily feature websites based on historical domain authority or ranking position. Instead, it prioritizes content that answers certain legal questions, regardless of the firm's size or history. So, in this environment, even well-established law firms with strong traditional search rankings could be vulnerable. Larger firms that delay adapting their content strategy risk being overshadowed by smaller, more agile competitors who know how to quickly restructure their online presence to match how AI systems evaluate information. Practice Area-Related Benefits In several different practice areas, the ability to optimize for AI Overviews will give a law firm a competitive edge. Consider the following. Personal injury: Capturing potential clients at the moment of need - you can reach prospective clients during a critical decision-making moment, or right after an accident occurs. At that moment, by addressing urgent questions such as, "Should I accept the insurance settlement offer?" you can establish credibility when people are most receptive to hiring legal defense: Providing value during crisis moments - again, with AI Overviews, you can reach potential clients in this practice area when they face high-stress, time-sensitive situations. You can demonstrate your knowledge and experience on topics like "What happens at arraignment?" or "What are the penalties for a first DUI offense?" By taking advantage of AI Overviews, you will position your criminal defense firm as a trusted guide and establish authority at a time when potential clients need planning: Demonstrating knowledge of complex topics - in AI Overviews, you can simplify legal concepts that potential clients may find overwhelming and showcase your ability to make complex matters accessible. You can provide clarity and show your approachability, which are key qualities in this practice area, by providing answers to questions such as "What are the differences between a will and a living trust?" or "How can you avoid probate?" Local Market Domination AI Overviews have transformed how Google handles location-based legal searches, including in the following areas. Geographic targeting - When people search with local intent (for example, "child custody laws in Phoenix" or "slip and fall statute of limitations California"), Google will prioritize region-specific content in its AI summaries. So, if a law firm thoroughly addresses jurisdiction-specific questions, it can result in a visibility advantage. Building local authority through content - Your firm's prominence in local AI Overviews depends on your geographic content. By creating resources that address your state's laws, local court procedures, and other regulations, you can position your firm as a local authority. Near-me search optimization - This approach is particularly powerful for capturing "near me" searches and location-based legal questions that potential clients use in urgent situations. Firms that develop content covering all of their service areas will consistently outperform competitors in local AI Overview citations. So, your local SEO takeaways should be: Create jurisdiction-specific content addressing local laws and for location-specific legal questions that are common in your practice local citations and references to regional legal content for all geographic areas your firm serves. By implementing these strategies, you should be able to effectively drive higher-quality leads from potential clients seeking legal help. E-E-A-T and AI Overviews: The Critical Connection E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. Google uses this core framework to evaluate content quality. For legal websites, Google applies heightened scrutiny because legal advice falls under "Your Money or Your Life" (YMYL) topics - information that could affect a person's well-being or financial security. Google's quality raters assess whether legal content demonstrates genuine expertise, comes from authoritative sources, and presents trustworthy information that won't harm users if followed. E-E-A-T matters more than ever with AI-generated results. When generating summaries, Google's AI systems prioritize content from sources with strong E-E-A-T signals to minimize the risk of spreading inaccurate legal information. E-E-A-T Signals You Can Send With Your Website Unlike traditional search rankings, where hundreds of factors determine position, AI Overviews appear to give heavy weight to E-E-A-T signals when selecting which law firms' content to feature. That means demonstrating clear expertise and authority is no longer just about ranking. Instead, it is about whether your content gets featured in the prominent AI summaries at all. The following are E-E-A-T signals that your law firm can send with your site. Expertise Signals Accurate and precise legal terminologyJurisdiction-specific information and lawsClear explanations that simplify complex concepts without oversimplificationContent addressing potential exceptions and edge casesPractice area focus and depthContextual examples that demonstrate applied knowledge Authoritativeness Markers Firm history and established reputationAttorney credentials and bar admissions - displayed clearlySpeaking engagements and published worksRecognition from legal peers and organizationsAttorney bio pages with verifiable credentialsTransparent firm information and historyProper legal schema markup implementationConsistent NAP (Name, Address, Phone) information across the web Trust Indicators Clear presentation of attorney credentials near relevant contentRegular content updates reflecting current lawsAppropriate disclaimers addressing limitations of general informationSecure website protocols (HTTPS)Clear privacy policies and terms of serviceTransparent client communication channelsAbsence of misleading claims or guaranteesSpecific, detailed client reviews, not just generic praise Citation and Reference Quality Citations to relevant statutes and case lawReferences to official legal resourcesInternal links to deeper explanationsExternal links to court websites and government resourcesBar association and legal directory citationsProperly attributed quotes from authoritative sourcesConsistent citation formatting Practical E-E-A-T Enhancements for Law Firms In general, your law firm's E-E-A-T Priority Checklist should be: Associate appropriate attorneys with specific content credentials directly alongside legal update content to reflect current authoritative legal comprehensive internal linking between related topics. Specifically, your law firm can take the following steps to align with E-E-A-T: Strategic Credential Placement Display attorney credentials throughout your website, not just on bio credentials with content (for example, "Written by Sarah Johnson, Board-Certified Family Law Specialist").Link attorney names to detailed profiles containing full credentials and specializations adjacent to relevant practice area content. Authority-Building Case Results and Testimonials Create practice area-specific case result pages with coordinated challenges and testimonials to highlight key legal expertise rather than general verification elements, such as client initials or case types, when testimonials that mention particular attorney skills (for example, "Attorney Miller's deep knowledge of estate tax law saved our family thousands."). Comprehensive Content Development Organize information with clear hierarchical FAQ sections anticipating related topic clusters with main pages linking to detailed subtopic jurisdictional variations relevant to your practice areas. Practical Strategies: Optimizing Your Digital Presence for AI Overviews To get a better understanding of what it means to optimize your law firm's digital presence for Google's AI Overviews, let's examine three specific areas. Content Structure and Format The structure and format of your law firm's online content can affect your ability to take advantage of the marketing opportunities that AI Overviews provides. Your content should feature the following. Question-focused headings that mirror natural client queries - Google's AI Overviews prioritize content that directly addresses the questions potential clients ask. Consider using question-based formats that match real search inquiries instead of traditional practice area headings. Content with natural language questions that mimic what clients would type into a search will increase the likelihood of being selected as a source for AI Overviews. A couple of examples are: Instead of "Car Accident Representation," use "What Should I Do Immediately After a Car Accident in [State]?"Instead of "Child Custody Services," use "How Is Child Custody Determined in [State] Divorce Cases?" Clear, concise paragraphs with definitive answers - Position definitive answers at the beginning of your content, followed by supporting information. Google's AI looks for content that provides clear answers without unnecessary preamble. For instance, in the example below, notice how the content provides a direct answer in the first sentence, followed by context and nuance. Query - How long do I have to file a personal injury claim in Texas?Content - In Texas, you generally have two years from the date of injury to file a personal injury lawsuit. This time limit, known as the statute of limitations, is established by Texas Civil Practice and Remedies Code § 16.003. Missing this deadline typically means losing your right to seek compensation through the court system. Bulleted lists and organized information for easy AI parsing - Organize key information in formats that are easy for AI systems to identify and extract. Bulleted lists and clear organizational patterns help Google's AI understand your content's structure. In the example below, the content has a structured format, which makes it easier for Google's AI to identify and extract information when generating overviews. Topic - Types of Compensatory Damages Available in Personal Injury CasesContent - The following are types of compensatory damages available in personal injury cases: Medical expenses (past and future) Lost wages and diminished earning capacity Property damage and repair costs Pain and suffering Emotional distress Loss of enjoyment of life Loss of consortium FAQ sections that directly address common legal questions - Include dedicated FAQ sections that address related questions potential clients might have. By using FAQs, you provide Google's AI with clear, pre-formatted answers to common follow-up questions. The following are examples of FAQ sections in the area of personal injury law that create valuable, self-contained content units that Google's AI can easily identify when generating overviews for related searches: Should I talk to the other driver's insurance company? No, you should avoid giving statements to the other driver's insurance company without legal representation. Insurance adjusters may use your statements to minimize your claim's value. What if the accident was partially my fault? [State] follows a comparative negligence rule, which means you may still recover damages even if you were partially at fault, though your compensation may be reduced by your percentage of fault. How much is my car accident claim worth? The value depends on several factors, including the severity of injuries, medical expenses, lost income, property damage, and impact on quality of life. An experienced attorney can provide a more accurate assessment based on your circumstances." Technical Optimization From a technical standpoint, optimizing your law firm's digital presence for AI Overviews involves the following: Schema markup for attorneys and legal content - Schema markup provides explicit signals to search engines about your content's meaning and helps Google's AI to better understand and categorize your legal knowledge for inclusion in AI Overviews. You should focus on: Attorney Schema - Tells Google who you are, your credentials, education, certifications, and practice Service Schema - Identifies your firm's services, practice areas, and service Schema - Structures your frequently asked questions so Google can easily extract them for AI Schema - Useful for procedural content like "How to file for divorce" or "Steps after a car accident."Local Business Schema - Enhances your local visibility with accurate name, address, and phone information While the technical implementation might require developer assistance, understanding the schema types helps you prioritize information on your website. Page speed and mobile optimization importance - Google's AI prioritizes content from sites that deliver excellent user experiences, with page speed and mobile optimization being important factors. Sites that load quickly and function well on mobile devices are more likely to retain users and encourage them to stay on the site. Key optimization areas include the following: Image Optimization - Compress images, use modern formats like WebP, and specify Responsiveness - Ensure all content is easily readable on mobile devices without horizontal Speed - Minimize unnecessary scripts, optimize CSS delivery, and leverage browser Web Vitals - Focus on improving Largest Contentful Paint, First Input Delay, and Cumulative Layout Shift metrics. These technical factors create a foundation for authority that complements your content quality. Site structure and internal linking strategies - A logical site structure with strategic internal linking helps Google's AI understand the relationships between your content pieces, establishing topical authority that increases your chances of being featured in AI Overviews. The following are effective approaches that your law firm can take: Topic Cluster Structure - Organize content around central practice area pages with supporting subtopic Internal Linking - Link related content naturally within text to establish content Navigation - Help users and search engines understand your site's hierarchical URL Structure - Create logical URLs that reflect your content organization. Content Development Strategy To optimize your content for AI-generated search results, you should focus on these items. Identify high-opportunity legal queries in your practice area - Strategic content development starts with identifying the specific questions that potential clients ask and which trigger AI Overviews. Focus on queries with high search volume and look for existing content that may lack depth or authority. Research methods for identifying high-value queries include the following: Use Google's "People Also Ask" sections to identify related competitor content that currently appears in AI your consultation notes for frequently asked initial keyword research tools to find question-based searches with significant volume. Examples of high-opportunity query types, by practice area, include: Personal Injury "How much is my [specific injury] claim worth?" "Who pays medical bills after a car accident in [State]?" "What if the accident was partially my fault in [State]?" Family Law "How is child support calculated in [State]?" "How long does divorce take in [State]?" "Can I modify a custody agreement without going to court?" Create comprehensive content clusters around primary topics - Develop interconnected content ecosystems that establish authoritative coverage of key legal topics. The depth will signal to Google's AI that your firm has expertise worthy of citation in AI Overviews. Here is an example of an optimized car accident content cluster structure: Primary Topic Page: "Car Accidents in [State]" Overview of state laws governing auto accidentsStatistics on accident frequency and common causesGeneral process for pursuing compensation Supporting Subtopic Pages: "[State] Car Accident Statute of Limitations"Detailed explanation of time limitsExceptions that may extend or toll the statuteCase examples illustrating deadline applications"Determining Fault in [State] Car Accidents"Evidence types used to prove liabilityHow comparative negligence affects recoveryThird-party liability scenariosSpecialized Pages for Specific Scenarios:Uber/Lyft accident claimsUninsured motorist scenariosMulti-vehicle accidentsCommercial vehicle collisions Update frequency and freshness factors - Google's AI prioritizes current, accurate legal information. Establish a review process to ensure your content reflects the latest laws, precedents, and procedures. Examples of content update triggers are: Legislative changes affecting the practice areaNew case lawProcedural changes in local courtsUpdated statistics or dataNew industry best practices To be proactive in addressing these triggers, you should follow a content audit schedule that incorporates: Quarterly Reviews - Check all high-traffic pages for Deep Audits - Review practice area Overhauls - Make major updates to primary practice area pages with case studies, statistics, and procedural information. Measuring Success: Tracking Your AI Overview Performance To determine if your optimization efforts are working, focus on these performance indicators, or key metrics to monitor: Visibility - Track which queries feature your content in AI Overviews by monitoring position improvements and using specialized tools like or Patterns - Compare organic traffic before and after Rates - Focus on what matters most - consultation requests and client inquiries. Your measurement approach should cover the following: Use Google Search Console to analyze impression and CTR changes for key monthly content audits, identifying "winners" (content frequently appearing in AI Overviews) and "underperformers."Apply successful patterns from high-performing content to other areas of practice. This story was produced by Consultwebs and reviewed and distributed by Stacker. © Stacker Media, LLC.
Yahoo
35 minutes ago
- Yahoo
Why Datadog Fell Today
Datadog was downgraded to "sell" by a sell-side analyst firm today. The analysts see Datadog losing its largest customer, OpenAI, to OpenAI's internal efforts. This threat to Datadog has wider implications for the broader enterprise software world. 10 stocks we like better than Datadog › Shares of Datadog (NASDAQ: DDOG) fell on Tuesday, down as much as 6.3%, before recovering slightly to a 4.1% decline as of 12:51 p.m. ET. Today's sell-off was caused by a negative analyst note, which posited Datadog's growth rate could take a big step down this year due to the loss of its largest customer, AI disruptor OpenAI, which is reportedly building its own observability software tools in-house. Since the COVID-19 pandemic, Datadog has emerged as a disruptive winner in log management and observability software, which monitors the health and security of IT infrastructure. Datadog's cloud-first approach has found favor especially with high-growth tech companies, leading to a strong near-50% average growth rate over the past five years. But today, sell-side analysts at Guggenheim downgraded Datadog's stock from "neutral" to "sell," while putting a $105 price target on the stock. That's significantly below the $146 price at which the stock trades today, even after Tuesday's negative performance. The reason for the downgrade is Guggenheim's take that Datadog will lose its largest customer in OpenAI, the company behind ChatGPT, which is reportedly building its own in-house log management metrics software. The analysts see this loss resulting in a hole of more than $150 million in revenue, which could result in a significant deceleration later this year. Guggenheim sees revenue growth stepping down from the current mid-20% growth rate to 17% in the fourth quarter of this year and 15% growth in 2026. Recent news reports have highlighted that OpenAI has broad ambitions to take its market-leading large language AI models into numerous downstream applications, from enterprise software to even its own hardware devices. Since large language models are now fairly adept at writing code, could OpenAI also displace its own software suppliers? To be fair, OpenAI's AI infrastructure likely processes orders of magnitude more data than the typical Datadog customer, which correlates to massive amounts of money currently going to Datadog. That could make it financially sound for OpenAI to build its own internal software, but not the rest of Datadog's customer base. Yet while this won't be the case for every company, it does raise the potential of OpenAI and other AI-first start-ups becoming competitive threats to existing software leaders, as these new start-ups aim to go "downstream" into customer-facing applications. Before you buy stock in Datadog, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Datadog wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $695,481!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $969,935!* Now, it's worth noting Stock Advisor's total average return is 1,053% — a market-crushing outperformance compared to 179% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of July 7, 2025 Billy Duberstein and/or his clients have no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Datadog. The Motley Fool has a disclosure policy. Why Datadog Fell Today was originally published by The Motley Fool Sign in to access your portfolio
Yahoo
35 minutes ago
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AppLovin's Strategic Shift Fuels Omnichannel Advertising Growth
AppLovin Corporation APP is accelerating its transformation from a mobile-first advertising platform into a diversified digital advertising powerhouse. At the heart of this evolution is a strategic expansion into high-growth areas, including web advertising, e-commerce and connected TV (CTV). A key driver of this shift is AppLovin's acquisition of Wurl, a streaming-focused content distribution and advertising platform. This move extends the reach of APP's AI-driven AXON monetization engine beyond mobile apps into the lucrative CTV and digital commerce spaces. The CTV advertising market is booming, driven by a significant shift in consumer viewing habits from traditional linear TV to streaming platforms. Wurl's infrastructure strengthens AppLovin's ability to deliver targeted, measurable campaigns across CTV devices, enhancing both reach and performance. Additionally, by integrating e-commerce capabilities, the company creates a feedback loop where ad performance is measured not just in impressions but in actual conversions, boosting its appeal to performance-focused advertisers. As user attention fragments across screens — mobile, web, and TV — AppLovin is uniquely positioned to offer a unified advertising platform that addresses the entire consumer journey. This omnichannel approach not only opens up new revenue streams but also reduces reliance on any single platform, insulating the company from ecosystem-specific risks. If APP can execute this strategy effectively, it stands to emerge as a dominant player in the next generation of digital advertising. AppLovin faces competition in this evolving landscape. The Trade Desk TTD, a leader in the Demand-Side Platform space, continues to bolster its CTV capabilities through strong partnerships with content providers and ongoing investments in its Unified ID solution. These enhancements support precise, data-driven ad targeting, keeping Trade Desk well-positioned as advertisers seek scalable reach and transparency. Roku ROKU is also a formidable rival, leveraging its proprietary operating system and vast streaming ecosystem to power a robust advertising business. Its platform-first approach allows for deep targeting accuracy and direct control over ad inventory. Roku has steadily expanded its ad tech stack to attract performance marketers and remain competitive in the increasingly crowded CTV arena. As the digital ad space becomes more fragmented and performance-driven, AppLovin's bold pivot into CTV and commerce offers both opportunity and challenge. Success will depend on its ability to integrate Wurl's infrastructure seamlessly, drive measurable outcomes across channels, and differentiate itself from established players like Trade Desk and Roku. With the right execution, AppLovin could reshape its narrative from a mobile ad company into a major contender in the future of omnichannel advertising. The stock has gained 46.5% in the past three months compared with the industry's 42.7% growth. Image Source: Zacks Investment Research From a valuation standpoint, APP trades at a forward price-to-earnings ratio of 33.48, well above the industry's 23.29. It carries a Value Score of F. Image Source: Zacks Investment Research The Zacks Consensus Estimate for APP's earnings has been on the rise over the past 30 days. Image Source: Zacks Investment Research APP currently sports a Zacks Rank #1 (Strong Buy). You can see the complete list of today's Zacks #1 Rank stocks here. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report AppLovin Corporation (APP) : Free Stock Analysis Report The Trade Desk (TTD) : Free Stock Analysis Report Roku, Inc. (ROKU) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Sign in to access your portfolio
