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The Return of Mira Murati to the Public StageMira Murati, former CTO of OpenAI and current CEO of Thinking Machines Lab, has made her first major media appearance in approximately 18 months, sitting down with Bloomberg in San Francisco. This rare public appearance comes as Murati's company, which has been operating largely in the background, seeks to establish its presence in an increasingly competitive AI landscape.Thinking Machines' New Approach: Interaction ModelsDuring the interview, Murati previewed what Thinking Machines is calling "interaction models," described as a fundamentally different kind of AI interface. Unlike the traditional turn-based, prompt-and-response dynamic common in most AI products today, the company's models are designed to process continuous streams of audio, text, and video in 200-millisecond intervals. This approach aims to capture the nuances of human communication—including interruptions, mid-thought corrections, and pauses—in something closer to real time.Murati emphasized that this approach aligns with her lab's core thesis that the path to powerful AI runs through closer human collaboration, not around it. She was careful to frame it as a first step rather than a finished product, declining to specify a release date.The Competitive AI LandscapeThe timing of Murati's public return is strategic. While Thinking Machines has spent the past year and a half operating in the background—raising capital, hiring researchers, and shipping one product, Tinker (an API for fine-tuning open-source AI models)—its competitors have grown more omnipresent. OpenAI, where Murati spent six years as CTO, remains constantly in the news cycle. Anthropic has gained significant momentum, and Elon Musk's xAI has been folded into SpaceX ahead of what is expected to be a massive public offering.In this environment, Murati acknowledged that staying heads down has diminishing returns, and at some point, a company must make noise to remind the market it exists.Reflections on OpenAI's Leadership CrisisMurati also addressed the chaotic week in November 2023 when OpenAI's board fired Sam Altman, and she became interim CEO—an event referred to internally as "the blip." She expressed clarity about her decisions during that period, stating that protecting the mission and team guided her choices even as the situation appeared to be unraveling externally. Murati claimed the company would have "imploded" without her involvement during those five days and their immediate aftermath.In retrospect, she acknowledged she would have pushed harder for more information, a better transition plan, and more transparency. When asked if she still trusts her former boss, she sidestepped the question, instead focusing on her broader concern about the concentration of consequential decisions in too few hands across the industry.Talent Challenges and Compensation CultureChang pressed Murati on the departures of several high-profile researchers from Thinking Machines in recent months, a subject Murati has largely avoided in public. She explained that building a frontier AI lab from scratch compresses years of normal organizational volatility into months. Regarding compensation—the nine-figure packages that have become standard in the AI talent war—Murati suggested it isn't usually the whole story behind talent decisions."When I wake up in the morning, I am not thinking about how to kill the competitor," Murati quipped, drawing audience laughter and highlighting her competitive approach to building rather than destroying.The Future of AI and Human AgencyWhen asked about the future of AI and its impact on humanity, Murati pushed back on both inevitable dystopia and inevitable utopia scenarios. She argued that neither outcome is predetermined and that the current period will determine which direction things go. However, she warned that if humans "take their hands off the wheel too soon," the future will look very different, and not better.Born in Albania and speaking with a slight Eastern European accent, Murati emphasized the importance of maintaining human agency in AI development, reflecting on concerns about mass job displacement and potential misuse of AI for harmful purposes like creating chemical weapons.

Anthropic Files Confidential IPO Amid $65 B FundraiseAt the Bloomberg Tech conference, co‑founder Daniela Amodei confirmed that Anthropic has submitted a confidential registration statement to go public, following a $65 billion financing round that valued the company at $965 billion.Revenue Explosion and Compute Spend Highlight Growth TrajectoryAnnualized revenue reached $47 billion in May 2026, up from roughly $9 billion at the end of 2025.The partnership with xAI adds compute capacity costing Anthropic about $1.25 billion per month.Fundraise: $65 billion at a $965 billion valuation.Capital Needs Drive Public‑Market StrategyAmodei emphasized that the “big upfront cost” of training and serving large models makes public capital essential. She contrasted Anthropic’s measured compute‑capacity approach with rivals that are building their own data centers.Market Implications for AI Spending and Corporate AdoptionWhile some firms such as Uber question AI ROI, Amodei argues that AI use cases—coding, finance, legal, health care—remain primary efficiency drivers. The IPO could signal confidence that corporate AI budgets will stay robust despite short‑term skepticism.Future Outlook: IPO Timing, Valuation Pressure, and Sector GrowthAnalysts expect Anthropic’s IPO to occur later in 2026, with valuation pressure from peers like OpenAI and xAI. If AI spending stabilizes, the company’s “little more demand than supply” philosophy may sustain its growth, while a slowdown in corporate AI budgets could temper the market’s enthusiasm.

The Launch of a New AI Lab Airbnb CEO Brian Chesky is set to back a new AI lab, as reported by Bloomberg and confirmed by a person familiar with the situation. This move signals Chesky's ambition to contribute to the AI space beyond his role as Airbnb's CEO. Chesky's Background in AI Chesky has been involved in the AI ecosystem for some time. He has been advising Sam Altman, the CEO of OpenAI, on managing a hypergrowth tech company. Their connection dates back to 2006 when Chesky met Altman through Y Combinator, which incubated Airbnb. The Focus of the New AI Lab The exact focus of Chesky's new AI lab is not clear, but it is expected to explore areas such as user interaction and design. These are areas that Chesky has emphasized during his tenure at Airbnb. Implications and Future Directions Chesky's decision to launch a new AI lab could position him in competition with OpenAI, the company he has previously supported. However, he will not be leading the new lab himself, choosing instead to remain as Airbnb's CEO. The leadership of the new lab will face the challenge of competing with other established AI labs while also navigating Chesky's involvement as the founding chair of Airbnb. The Road Ahead As the AI landscape continues to evolve, Chesky's new AI lab is set to make its mark. With Chesky's experience and insights, the lab could potentially develop innovative AI solutions that impact the tech industry.

The Lead: WWDC 2026 Anticipation Builds As Apple's Worldwide Developers Conference, WWDC 2026, approaches, excitement is building around what Apple has in store for us this year. From Siri's overhaul to new Apple Intelligence updates, there's a lot to look forward to. Siri's Major AI Upgrade and Standalone App The most anticipated announcement is a major AI upgrade to Siri, transforming it into a more conversational assistant capable of understanding context, handling multi-step tasks, and interacting more naturally across apps and services. The revamped Siri will leverage Google's Gemini technology to enhance its capabilities. Additionally, recent leaks from Bloomberg have unveiled a standalone Siri app that aims to compete with advanced AI chatbots like ChatGPT, Claude, and Gemini. Apple may also introduce a feature reminiscent of messaging apps, enabling users to set timers for automatically deleting conversations after 30 days, a year, or keeping them indefinitely. Apple Intelligence Updates According to The Information, Apple plans to introduce an AI agent integration with the app store. While details are scarce, agents allow users to delegate tasks such as booking reservations, managing everyday tasks, editing documents, or controlling smart home devices. Camera and Photos App Enhancements A new 'Visual Intelligence' section is anticipated to be introduced within the Camera app, taking the place of the previous Visual Intelligence feature found in the Camera Control button. This upgrade will introduce a dedicated Siri mode that exists next to options like Photo, Video, Portrait, and Panorama. The Visual Intelligence feature leverages Google Image Search to accurately identify objects captured by the user. In addition, the Photos app is set to receive exciting enhancements powered by Apple Intelligence. These may include intelligent scene recommendations for optimizing photos, automatic object removal for cleaner images, and an innovative AI photo editing feature that allows users to request edits simply by using natural language. Other Expected Updates Apple is set to upgrade the Image Playground app, introducing higher-quality image generation, more artistic styles, better character consistency, and richer editing controls. The interface for creating new images will be simplified, offering fewer controls and a 'describe a change' option for editing. Additionally, we might see a suggested Genmoji feature that proposes custom emojis based on users' media and text interactions. Users may also be able to generate AI wallpapers that reflect various themes and moods. Notable updates are rumored to be coming to the Wallet app, particularly a new bill-splitting feature that will simplify sharing expenses among friends or family. Users will be able to photograph a receipt and generate payment requests to different parties effortlessly. Alongside this, the Wallet app will also include a 'Create a Pass' option that enables users to generate digital passes from physical items such as movie tickets, concert passes, or gym membership cards. The Future of AI-Powered Siri Apple is expected to enhance its AI-powered Siri experience across its devices, as well as likely incorporate more AI features and stability updates.

The Energy Advantage in AI Supremacy In the race against China for AI supremacy, the United States dominates when it comes to access to the most cutting-edge semiconductors. But when it comes to powering the huge data centres that run on AI chips, China holds the clear advantage. That's because data centres, the sprawling computing facilities needed to train and run AI models, require vast amounts of energy. A typical data centre can consume as much electricity as 100,000 households, while next-generation "hyperscale" facilities can gobble up as much power as two million homes, according to the International Energy Agency (IEA). China's access to an abundant supply of cheap electricity places it in the ideal position to meet such colossal energy demands. China already generates more than twice as much electricity as the US, a lead that is expected to widen amid an aggressive state-led investment in the country's energy grid. China's Renewable Energy Expansion BloombergNEF, a research provider, estimates that China will add more than six times as much electricity generation capacity as the US over the next five years. Much of that extra capacity will be in the form of renewables such as solar and wind. In 2025 alone, China increased its wind and solar power capacity by more than 430 gigawatts, accounting for more than half of the additional capacity in the renewables added globally that year. A key element of China's AI strategy involves integrating its data centres into its rapidly expanding renewables sector. Under the "East Data, West Computing" initiative, China's government is concentrating the construction of new data centres in the country's sparsely populated interior, where land and renewable energy sources are abundant compared with the heavily built-up eastern seaboard. Earlier this month, Beijing announced the start of operations at the country's first "large-scale" renewable energy project to be linked directly to a data centre. The 500-megawatt wind and solar project, located in the northwestern Ningxia region, will power a cloud data centre operated by China Datang through a "dedicated transmission line". The US-China Data Center Divide For now, the US still has the largest data centre footprint by a wide margin. According to Stanford University's AI Index, the US had an estimated 5,427 data centres in 2025, compared with 449 in China. The US accounted for 45 percent of the 415 terawatt-hours of electricity consumed by data centres in 2024, followed by China and Europe with 25 percent and 15 percent, respectively, according to the IEA. In 2026 alone, Silicon Valley's Amazon, Microsoft, Meta and Alphabet are projected by Morgan Stanley to spend $630bn on data centres and other AI-related investment, vastly more than Chinese tech giants such as Alibaba, Tencent and ByteDance. But as China constructs data centres at a blistering pace – its number of data centre racks grew 30 percent annually from 2016 to 2023, according to the China Academy of Information and Communications Technology – the gap between the superpowers is rapidly narrowing. US Power Grid Constraints Meanwhile, there are already signs that the AI rollout in the US is bumping up against power constraints. Energy consultancy Wood Mackenzie said earlier this year that the limitations of the US energy grid had resulted in a 50 percent quarter on quarter drop in new data centre projects at the end of 2025. Technical limitations have been compounded by a growing backlash against data centres within communities across the US – driven partly by the strain the facilities place on local grids – a challenge not faced by China, where opposition to the government is heavily restricted. At least 36 data centres were blocked or stalled in the US between May 2024 and June 2025, according to Data Center Watch, a research project by AI security company 10a Labs. US tech leaders, including Tesla's Elon Musk, Nvidia's Jensen Huang and OpenAI's Sam Altman, have openly acknowledged China's edge in the energy domain. "The limiting factor for AI deployment is fundamentally electrical power," Musk said in an interview at the World Economic Forum in January. "Very soon, maybe even later this year, we'll be producing more chips than we can turn on – except for China. China's growth in electricity is tremendous." China's Energy Strategy Challenges Despite Beijing's push to meld its AI ambitions with the wind and solar resources of its remote western regions, most data centres are still located in and around eastern megacities such as Beijing, Tianjin, Shanghai, Guangzhou and Shenzhen. "These places also face power supply difficulties and have introduced restrictions on new data centres," Anders Hove, a senior research fellow at the Oxford Institute for Energy Studies, told Al Jazeera. Hove added that China's power grid also suffers from a high degree of fragmentation that prevents the seamless flow of electricity between regions. "China's power system is organised and dispatched mainly at the provincial level, with transmission corridors acting primarily as one-way power flows," Hove said. "Though the central government has called for regional wholesale markets and more granular trading intervals, this is proceeding slowly." Data Center Quality and Utilization Concerns Though rapid, China's data centre rollout has also faced quality issues, said Kyle Chan, a research fellow at the Brookings Institution who specialises in Chinese tech and industrial policy. "They are trying to build heterogeneous chip clusters that group together different hardware systems. This makes it more challenging to run AI workloads," Chan told Al Jazeera. "There have been issues with the build quality of some Chinese data centres, particularly when the developer does not have proper experience with such a complex project." China has also has some way to go to narrow the gap between data centre capacity and utilisation, said IMD Business School's Yu. "Beijing's own estimates put it at 20 to 30 percent, and even SMIC's chief has warned the new capacity could sit idle," Yu said. "One way to frame the whole race: the US has the chips and is short on power, while China has the power and is short on chips. Each is sprinting to fix its own bottleneck."

The Lead: Uber's AI Budget Crisis AI is getting expensive, and some companies are cutting back on usage in an attempt to moderate costs. That cohort now includes Uber, which recently instituted internal usage caps as a way to cut down on its exorbitant AI spend after blowing through its entire annual budget in just four months. The Event Details: New Spending Caps and Internal Tracking According to Bloomberg, Uber has implemented a new rule that places a monthly $1,500 cap per employee and per agentic coding tool, including Anthropic's Claude Code or Cursor. The usage is trackable via an internal dashboard that each employee has access to. In certain cases, these caps can be exceeded with permission from the company. The Data Analysis: The Financial Impact of AI Adoption The financial implications are significant. In April, Uber's CTO revealed that the ridesharing giant had consumed its entire annual AI budget in a matter of four months. This accelerated spending occurred after Uber encouraged staff to use AI "as much as possible" and even ranked their internal usage competitively on internal leaderboards, as previously reported by The Information. The Impact Analysis: Questioning AI's Productivity Value Uber's cutback raises a broader issue that the tech industry is currently facing: As enterprises pour money into AI, where exactly is the return on investment? Uber's COO, Andrew Macdonald, recently cast doubt on AI's productivity impact, noting during a podcast appearance that "it's very hard to draw a line" between AI usage and new consumer features. This sentiment reflects a growing skepticism in some quarters about the immediate practical benefits of AI investments. The Prediction: The Future of AI Spending in Tech AI ROI has so far remained a largely theoretical phenomenon that everybody hopes will eventually materialize. As more companies face similar budget challenges to Uber's, we may see a more measured approach to AI adoption across the tech industry. Companies will likely implement stricter usage tracking, set clearer ROI targets, and develop more sophisticated metrics to measure AI's actual impact on productivity and innovation before continuing to scale investments.

The Launch of Ferrari's First Electric Vehicle Ferrari's share price has dropped after it revealed a long-awaited first electric vehicle, with a minimalist look created by the former Apple design chief Jony Ive that departs from the Italian manufacturer's petrol sportscars. Ferrari Luce: Design and Specifications The Luce, starting at $640,000 (£477,000), has a range of 329 miles (530km) thanks to its battery capacity of 122 kilowatt hours, the company said, with four motors that can accelerate from 0 to 100km/h in 2.5 seconds, with a top speed of more than 310km/h (193mph). Market Reaction and Investor Sentiment The launch was hotly anticipated, given the world's most valuable sportscar maker's totemic status among car and Formula One racing fans. However, the Luce's saloon-like design immediately proved divisive, with some analysts questioning whether it lived up to Ferrari's sportscar heritage. Ferrari's share price dropped by as much as 8% in morning trading on Tuesday in Milan, before recovering to a 6% decline. The carmaker, which produces all its cars in Maranello, northern Italy, was valued at €56bn (£48bn) before the launch. The Impact of Jony Ive's Design The Luce was developed in partnership with LoveFrom, the studio founded by Ive after his long career at Apple, during which he led the design of products including the iPhone, MacBook and Apple Watch. Others said they believed it diverged too far from the blueprint that has made Ferrari one of the most profitable carmakers in the world. The Luce looks like a “mix between a Honda Accord EV and Tesla 3”, wrote Pierre-Olivier Essig, the head of research at AIR Capital, in a note for clients reported by Bloomberg. Ferrari's Future Plans Ferrari, founded in 1939, said the car's design was “simplified and rationalised in service of the driving experience”, and emphasised that was creating an “entirely new Ferrari”. The company last year scaled back its ambitions to shift from petrol to electric. It is aiming to have a 2030 lineup of 40% internal combustion engine models, 40% hybrids and 20% fully-electric.

Lead: Record Bonuses Signal AI‑Fuelled Profit SurgeSamsung Electronics’ memory chip division has struck a landmark profit‑sharing agreement that will deliver average bonuses of £310,000 to its workers, underscoring the massive profit lift from the AI boom.Landmark Profit‑Sharing Deal for Samsung’s Memory Chip Workforce74% of 62,616 union members voted in favour, averting a potential 18‑day strike.The pact, mediated by the South Korean government, allocates 10.5% of the semiconductor division’s operating profit to special bonuses.Bonus amounts vary: Reuters cites a top worker earning a 626 million won bonus (~£310,000), while Bloomberg estimates an average of 513 million won (~£250,000).Financial Scale of Bonuses and Profit AllocationSamsung employs roughly 78,000 staff in its semiconductor arm.At the reported rates, total bonus outlay could exceed 40 billion won (≈£25 million).The deal follows a broader rally: SK Hynix shares jumped >9% and Micron surged 19% after UBS tripled its price target.Implications for South Korea’s Economy and Global Chip SupplySamsung accounts for about 25% of South Korea’s exports; a strike would have hit the national economy hard.Higher bonuses may create internal tension, as workers in consumer‑electronics divisions receive far smaller payouts.Investor groups warn the precedent could embolden other unions to demand similar profit‑sharing schemes.Future Labor Negotiations and AI‑Driven Chip Market OutlookA consumer‑electronics union has already sought a court injunction, hinting at renewed bargaining cycles.Continued AI‑driven demand for memory chips is likely to keep profit margins high, sustaining the incentive for generous worker incentives.Analysts expect the AI trade shift to keep memory‑chip valuations elevated, potentially prompting further profit‑sharing models across the industry.

The Surge in Chinese EV Exports China's electric vehicle exports surged 40 percent last month, bolstering its position at the top of the rapidly growing global market, customs data compiled by Bloomberg shows. Chinese EV exports hit 278,081 in April, taking overseas sales since the start of the year to 893,852, according to the data. Global Demand for Chinese EVs Asia imported the most EVs of any region, at 110,613 vehicles, followed by Europe and Latin America with 83,813 and 52,897, respectively. Oceania imported 22,695 Chinese EVs, while North America imported 4,422, according to the data. Brazil experienced the biggest rise in demand among the top 10 export destinations, with imports surging 221 percent to 38,144. South Korea, Germany and Australia also saw sharp increases in demand, with imports rising between 100 percent and 190 percent. The Impact of Trade Restrictions China's growing exports come despite efforts by the United States and Europe to restrict the country's vehicles from their domestic markets. The US applies a 100 percent tariff on Chinese EVs and bans certain Chinese-made software used in connected vehicles. The European Union imposes tariffs as high as 35.3 percent on Chinese EVs. The Future of EV Sales China is by far the largest manufacturer of EVs globally, accounting for about 75 percent of the 22 million vehicles produced in 2025, according to the International Energy Agency. Chinese EV exports hit a record high of 2.5 million in 2025, double the figure of the previous year. Outside of Europe and the US, Chinese models accounted for 55 percent of all EV sales last year, according to the IEA. The IEA estimates that global EV sales will hit 23 million in 2026 to account for nearly 30 percent of all auto sales. Global EV sales surpassed 20 million in 2025, accounting for about a quarter of total auto sales.