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French energy giant TotalEnergies faces a lawsuit from seven U.S. states after the Trump administration cancelled two offshore wind projects and redirected the company toward oil and gas investments. The dispute highlights the volatility of U.S. energy policy and its impact on large‑scale renewable projects. Cancellation of TotalEnergies’ Attentive and Carolina Long Bay Offshore Wind Leases Projects: Attentive Energy (off Jones Beach, NY) and Carolina Long Bay (North Carolina). Planned capacity: enough to power about one million homes in New York and New Jersey. Decision date: March 23, 2026, when the Interior Department reached a settlement with TotalEnergies to abandon the leases. $928 Million Settlement and $2 Billion Payments to Developers TotalEnergies agreed to abandon the two projects for $928 million and invest in oil and gas instead. In April, the administration also paid over $2 billion to cancel leases for Golden State Wind (California) and Blue Point Wind (New York). The payments were made through the Interior Department’s Judgment Fund, a point of contention in the states’ lawsuit. Implications for U.S. Offshore Wind Investment Climate States argue the cancellations jeopardize grid reliability and climate‑goal attainment for the Northeast. Legal experts note this is the first instance of developers being paid to withdraw from wind leases, setting a potentially risky precedent. Industry analysts warn that the uncertainty could deter both domestic and foreign investors from future offshore wind projects. Potential Litigation and Regulatory Precedents The lawsuit alleges the Interior Department failed to provide a reasoned explanation, address reliance interests, or justify the lease cancellations. California’s Energy Commission has issued a subpoena to Golden State Wind for documents related to the deal, potentially leading to further litigation. Critics cite the use of the Outer Continental Shelf Act without hearings as a possible overreach that could affect future oil, gas, and mineral leases. Future Outlook for Offshore Wind and Fossil Fuel Prioritization Company executives, including Patrick Pouyanne, argue that policy volatility makes long‑term offshore wind development untenable. Analysts suggest that while offshore wind costs ($70‑$157 per MWh) remain competitive with gas and coal, the lack of stable policy may shift focus to on‑shore renewables and other energy sources. Continued investigations by Congress and state attorneys general could shape the regulatory environment and determine whether similar settlements occur.

Microsoft announced a dramatic pricing change for GitHub Copilot, moving from a flat‑rate subscription to a per‑token model. The announcement ignited a wave of commentary—dubbed the “Tokenpocalypse”—and raised questions about how rising AI costs will reshape the broader ecosystem. Microsoft’s Token‑Based Pricing Overhaul for GitHub Copilot Copilot will now charge customers based on the number of tokens processed rather than a fixed monthly fee. The change aligns Copilot with the pricing structures of other large‑scale AI models that bill per usage. Industry insiders, including TechCrunch hosts Sean O’Kane and Kirsten Korosec, flagged the move as a bellwether for future AI product pricing. Cost Implications and Early Financial Signals While Microsoft did not disclose exact token rates, analysts note that the per‑token approach typically translates to higher marginal costs for heavy users. Early feedback suggests: Enterprises with large codebases could see a 30‑50% increase in monthly AI spend. Start‑ups that relied on the flat‑rate model may need to re‑budget or limit usage. The shift underscores the growing gap between investor‑subsidized development and sustainable revenue streams. Broader Impact on AI Start‑ups and IPO Risk Disclosures Anthropic, OpenAI rivals, and other AI firms preparing for public offerings are now confronting “token‑related” risk factors in their S‑1 filings. Key concerns include: Potential volatility in customer adoption if pricing becomes prohibitive. Regulatory scrutiny, highlighted by the recent executive order signed by President Trump to review powerful AI models. Pressure to demonstrate clear pathways to profitability beyond venture funding. What the Tokenpocalypse Means for the Future of AI Monetization Experts predict a cascade of similar pricing reforms across the AI landscape: Companies will increasingly expose usage‑based costs to end‑users, driving more disciplined consumption. Businesses may adopt “token‑capping” strategies—similar to Uber’s budget controls—to manage spend. Long‑term, the market could see a consolidation of AI providers that can balance high compute costs with scalable revenue models. As the AI ecosystem matures, the token‑centric pricing model could become the new standard, forcing both developers and investors to reckon with the true economics of generative intelligence.

The AI Market Surge The race is very much on. Elon Musk's SpaceX, which makes AI models as well as space rockets, announced last week it is seeking a $1.77tn (£1.31tn) valuation on the US stock market while Anthropic, the startup behind the Claude chatbot, said it had filed for an initial public offering. OpenAI, the developer of ChatGPT, is expected to follow. AI Has Sent Stocks Soaring The S&P; 500, which tracks the 500 biggest US companies, has been on a tear over the past five years – rising by nearly 80%. That jump has been driven by big tech stocks with a stake in the AI boom, the “magnificent seven” of Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia and Tesla. Expenditure Is Growing at a Staggering Rate Spending on AI – from datacentres to chips – is racing ahead, from $765bn this year to $1.6tn in 2031, according to Goldman Sachs. The investment bank acknowledges there could be problems with this scale of commitment. What if the datacentres are delayed? Firms and Consumers Are Adopting AI at Pace Despite mixed reports on the benefits, the vast majority of companies are starting to use AI – up from 33% in 2023 to nearly 80% now, according to the consultancy group McKinsey. Usage among the general public is also high, with OpenAI's ChatGPT now reaching 1bn monthly active users, according to data from Sensor Tower – a record for any app. Claude Is Snapping at ChatGPT's Heels Anthropic began to gain ground on OpenAI late last year, when its Claude Code tool went viral among mostly San Francisco-area software developers, before spreading more widely. Claude Code represented a shift in how large language models – the core technology behind chatbots – are used, ushering in a transition towards autonomous AI agents that carry out tasks without human intervention, enabling even the non-tech-savvy to create software and do a wide range of tasks. AI Is Getting More Expensive to Use Every time an AI chatbot or agent issues a response, it is measured in “tokens” – building blocks of language that can be words, punctuation marks or syllables. The costs of these vary per model; OpenAI prices it at $5 a million input tokens for GPT-5.5, and $30 a million output tokens (ie the response given to your prompt). Datacentre Building Might Not Keep Pace with Demand Datacentre construction represents the central nervous system of AI products so growing development and use of AI tools must be matched by more capacity – otherwise there will be a compute crunch, which means rising costs for AI companies and users.

Lead: A Century‑Long Timeline for Social HousingResearch by the housing charity Shelter reveals that, if the current delivery rate continues, it will take 119 years to clear England’s social‑housing waiting list. The findings underscore a widening gap between demand and supply, with profound social implications.Shelter's Study Reveals 119‑Year Timeline to Clear Social Housing WaitlistThe charity examined the latest building figures and waiting‑list data across England. Key observations include:More than 1.3 million households are on the waiting list for a social home.Only 12,198 new social homes were completed in 2025 by councils, housing associations, and private developers.This translates to an average of 110 households waiting for each new home delivered.Numbers Behind the Crisis: 1.3 Million Households, 12,198 New Homes, 110‑to‑1 RatioHistorical trends highlight a steep decline in construction:In the past 15 years, annual delivery of new social‑rent homes has fallen by 64%.Homeless households in temporary accommodation have risen by 155% over the same period.In 20% of council areas, no social homes were built in the last two years; in 30% fewer than ten were built.Why England’s Housing Shortfall Threatens Communities and Increases HomelessnessChief Executive Sarah Elliott warned that “none of us alive today will live to see the end of the housing emergency” if the pace does not change. The report links the shortage to:£29 bn of housing debt transferred to local authorities in 2012, which hampers financing for new builds.Right‑to‑buy sales that reduce council stock while interest payments on the debt consume resources.Private landlords converting family homes into high‑cost temporary accommodation.Stakeholders, including Suzanne Muna of the Social Housing Action Campaign, describe the situation as a “systemic failure of successive governments”.What Needs to Happen to Shorten the Waitlist: Policy Shifts and Debt ReliefThe government has pledged a “council housing revolution” with a target of 300,000 new social and affordable homes, of which 180,000 would be social rent. To meet this ambition, experts call for:Forgiveness or reduction of the £29 bn council housing debt.Increased annual delivery to at least 90,000 social homes for the next decade.Policy reforms that protect council stock from excessive right‑to‑buy discounts and ensure sustainable rent rates.Without such interventions, the projected 119‑year clearance timeline will persist, deepening the housing emergency for future generations.

The Lead Meta, the parent company of Facebook, WhatsApp, and Instagram, has hit out at Australia's latest plans to force digital platforms to support media outlets financially, labelling the proposals 'poorly designed' and 'grossly unfair.' Meta's Objections to the News Bargaining Incentive Meta said the government's News Bargaining Incentive (NBI) would shield news publishers from needing to undertake the innovation necessary for a sustainable media landscape. The company argued that the NBI 'insulates publishers from the competitive pressure to evolve by guaranteeing revenue regardless of whether they build sustainable business models.' The Data Analysis Under the centre-left Labor Party government's plans, social media and search platforms would face a 2.25 percent levy on Australian revenues if they do not make deals to pay Australian outlets for their news content. Platforms that reach a set minimum number of commercial agreements would be able to reduce the levy to a rate that in effect would be 1.5 percent. The government estimated that the new scheme would generate 200 million to 250 million Australian dollars (US$143m to US$178m) for local media outlets. The Impact Analysis The proposals specifically target Meta, Google, and TikTok owner ByteDance but would not apply to AI developers that also influence search traffic, such as ChatGPT creator OpenAI. The initiative is intended to replace the previous government's News Bargaining Code, which Meta and other tech companies were able to bypass by pulling news content from their platforms. The Prediction Australia's media sector has been hammered by collapsing advertising revenues, which supported a flourishing industry in the heyday of print publications. More than 19,500 journalism jobs have been lost since 2008, according to the Media Entertainment and Arts Alliance, Australia's primary media union. The outcome of the proposed levy and its impact on the media landscape remains to be seen.

Live Stream Details and Schedule for WWDC 2026The Worldwide Developers Conference opens on Monday at 10 a.m. PT / 1 p.m. ET. Viewers can watch the keynote live via the Apple Developer app, Apple’s website, and the Apple Developer YouTube channel.Siri’s AI Overhaul Powered by Google GeminiApple’s headline AI announcement is a comprehensive revamp of Siri. The new assistant will be more conversational, understand context, and handle multi‑step tasks across apps. Siri’s capabilities are being boosted with Google’s Gemini technology, and a leaked standalone Siri app aims to compete directly with ChatGPT, Claude, and Gemini. Additional privacy‑focused features may let users set automatic conversation‑deletion timers (30 days, 1 year, or indefinite).Apple Intelligence Features Across Core AppsCamera app: A new “Visual Intelligence” section replaces the old button, adding a dedicated Siri mode alongside Photo, Video, Portrait, and Panorama. It leverages Google Image Search for object identification.Photos app: Apple Intelligence will suggest scene optimizations, remove unwanted objects, and enable natural‑language photo edits.Image Playground: Higher‑quality image generation, more artistic styles, improved character consistency, and a simplified “describe a change” editing flow.Genmoji & AI wallpapers: Proposed custom emoji suggestions and AI‑generated wallpapers based on user media and mood.Wallet app: New bill‑splitting workflow that creates payment requests from photographed receipts, plus a “Create a Pass” tool for digitizing physical tickets and cards.Potential Market Implications of the AI UpgradesWhile no financial figures were disclosed, the integration of Gemini‑powered Siri and broader Apple Intelligence tools could narrow the gap between Apple and leading AI‑first platforms. By embedding conversational AI throughout its hardware and services, Apple may boost device stickiness and open new revenue streams in AI‑enhanced app experiences.Outlook: How Apple’s AI Push May Shape the Future EcosystemIf the announced features arrive as expected, developers will gain deeper AI hooks within iOS, visionOS, and macOS, accelerating third‑party innovation. Consumers can anticipate more natural interactions across everyday tasks, setting the stage for Apple to position its AI suite as a core differentiator in the post‑WWDC landscape.

The LeadMina the Hollower transports players back to the golden age of handheld gaming, utilizing a distinctive two-colour pixel art style reminiscent of the Game Boy Color era. However, beneath its nostalgic veneer lies a modern, challenging action-adventure experience that redefines the 'retro' genre.The Signature Burrow-Jump MechanicThe core of the gameplay loop revolves around Mina's signature 'burrow-jump' ability. This mechanic allows players to tunnel underground and spring upward, serving as both a navigational tool and an offensive strategy. The tactile feedback of the button springing back against the thumb creates a satisfying, elastic sensation that is central to the game's feel.Market Positioning and Pricing StrategyPricing: The game is priced at £17.75/$19.99.Duration: Offers approximately 20 hours of gameplay.Value: Positioned as a premium indie title offering significant value through its blend of exploration, combat, and puzzle-solving mechanics.Redefining Difficulty in Retro-Arcade GamesThe game draws heavy inspiration from titles like Dark Souls and Hollow Knight, implementing a permadeath mechanic where players risk losing collected upgrade currency upon death. This 'tough love' approach creates a high-stakes environment where even familiar routes become tense, forcing players to master the mechanics rather than relying on muscle memory alone.The Future of Retro-Inspired Indie TitlesMina the Hollower signals a continued trend where indie developers are using retro aesthetics to tell modern, complex stories. As the market becomes saturated with remasters, titles that innovate within a retro framework—like this one—will likely continue to thrive, proving that vintage magic remains a potent tool for engaging modern audiences.

The Lead Residents in Monterey Park, California, have become the first in the US to vote on a permanent ban on datacenters, with early results indicating a resounding victory for the prohibition. The ballot measure, which needed a majority vote of at least 51%, saw 86.3% of over 7,000 votes counted so far in favor of banning datacenters. The Event Details Monterey Park's city council had already passed an indefinite moratorium on datacenters in April, but this ballot initiative makes the ban permanent. The move was driven by concerns over negative environmental effects, increasing utility prices, and the proximity of datacenters to homes. The proposed datacenter, which would have covered nearly 250,000 sq ft, was withdrawn by developers HMC StratCap after backlash. The Data Analysis The Data Center Coalition (DCC), a trade association that tracks datacenter development, notes that this is the most forceful ban on datacenters so far. Nationally, seven in 10 Americans oppose the construction of AI datacenters in their local areas, according to a Gallup poll. The ban in Monterey Park may set a precedent for other communities to follow. The Impact Analysis The ban on datacenters in Monterey Park reflects growing anger towards these facilities powering the AI boom. Communities across the country are turning to political pressure to stop their spread, demanding local officials pass protective ordinances and block datacenter developers' proposals. At least a dozen states are considering statewide moratoriums on datacenters, although none have been signed into law yet. The Prediction The permanent ban on datacenters in Monterey Park could have significant implications for the tech industry, which relies heavily on these facilities. As concerns about the environmental impact of datacenters continue to grow, it is likely that more cities and states will consider similar bans or moratoriums. This could lead to a shift in how and where datacenters are developed in the future.

The AI Token Bill Comes Due Across the industry, companies are starting to balk at the price of AI. Uber blew through its entire 2026 AI coding budget by April. Microsoft revoked its developers' Claude Code licenses months after enabling them. A Priceline employee told TechCrunch that a routine Cursor contract renewal came back 4-5x more expensive. The Token Consumption Problem Even though per-token prices have fallen, the push for more AI adoption and increasingly autonomous agents have driven token consumption higher and higher. Companies that gorged themselves in early 2025 on all-you-can-eat subscriptions are now scrambling to understand where their money is going, pull back spending, and figure out whether they can salvage some ROI from the wreckage of their budgets. The Data Analysis Uber blew through its entire 2026 AI coding budget by April. Microsoft revoked its developers' Claude Code licenses months after enabling them. A Priceline employee reported a 4-5x increase in Cursor contract renewal costs. Goldman Sachs projects global token usage to multiply by 24 times by 2030. The Impact Analysis The industry is responding to the challenge with a mix of new tools, standards, and approaches. Startups, established vendors, and a new standards body, the Tokenomics Foundation, are racing to give companies the tools and language to track what they spend. The Linux Foundation's Tokenomics Foundation aims to instill cost discipline around AI tokens, similar to FinOps for cloud spend. The Prediction The Tokenomics Foundation is building a canonical definition and framework for 'tokenomics,' open standards, specifications, and metrics for AI token usage and billing. The industry is expected to adopt more efficient and cost-effective approaches to AI token management, with a focus on broad, moderate adoption rather than pushing heavy users higher.