
Must-Play Games of 2025 So Far: Monster Hunter Wilds, Expedition 33, Assassin's Creed Shadows and More
At the start of the year, 2025 was going to be all about Grand Theft Auto 6, which had so much hype that players were already expecting it to win game of the year. That changed last month when Rockstar Games announced that its highly anticipated game would be pushed to 2026. Though this year might not have what could be the biggest game of the decade, 2025 so far has some great games from the most unlikely places.
Next week brings two major events for gamers. Nintendo will launch the Switch 2 on June 5, and then on June 6, the Summer Game Fest will showcase the big games coming out later this year. Before looking at the games coming in the future, however, it's a good time to look at the games already released in 2025. There are some amazing titles worth your money and time.
Sandfall Interactive
Clair Obscur: Expedition 33
Developed by Sandfall Interactive, Clair Obscur: Expedition 33 has surprised everyone with just how good it is. The turn-based roleplaying game with French influences has wowed everyone who plays it.
From CNET's review: "Expedition 33 will be celebrated for its many excellences, and deservedly so. But above all, it tells an adult story about what's left for us when the future is ripped away bit by bit -- and why it's worth fighting against the inevitable anyway."
Clair Obscur: Expedition 33 is available on PC, PS5 and Xbox Series consoles. It's also included on Xbox Game Pass.
Hazelight Studios
Split Fiction
Co-op games are few and far between, but Hazelight Studios is the premier developer of them. Split Fiction is the latest title from the team, and its co-op play completely surpasses any other game out there to make for a unique experience.
From CNET's review: "I think it's safe to say Split Fiction is a fun game for anyone who's got another player ready to try it out. Whimsical, lighthearted, action-packed and thoughtfully made, it feels ready for any co-op team, from strangers to best friends."
Split Fiction is available on PC, PS5 and Xbox Series consoles.
Warhorse
Kingdom Come: Deliverance II
Developer Warhorse Studios is back with a sequel to its 2018 game Kingdom Come: Deliverance. In the follow-up, players again step into the role of swordsman Henry of Skalitz. He's still on his quest for revenge after his father died in the original game.
What makes Kingdom Come so unique as an RPG is how true-to-life it is in its setting of Bohemia (now the modern-day Czech Republic) in the 1400s. Players don't use magic or have any fantastical abilities. Instead, they need to watch what they eat or else be struck with food poisoning, and they need to wash their clothes because townspeople won't talk to them if they stink. Aside from the protagonist, the locations, characters and events are accurate. Luckily, Warhorse Studios made some welcome improvements to the game to make life in the 1400s a lot of fun.
Kingdom Come: Deliverance II is available on PC, PS5 and Xbox Series consoles.
The mansion setting of the game The Blue Prince.
Dogubomb/screenshot by CNET
Blue Prince
A puzzle game has to be unique to be considered one of the best games of the year, and Blue Prince is definitely unique. The premise is to fill a mansion with rooms in order to find a mysterious Room 46, though the mansion rearranges its layout every day, giving players a fresh chance to discover its secrets. What follows is a mystery that slowly unravels one room at a time.
From CNET's review: "Blue Prince isn't for everyone. While most of the puzzles can be solved with whatever's in the room, there are some intricate solutions afoot that could elude casual players. The mansion's shifting layout and unpredictable room choices can make progress uneven -- or even bring it to a halt if luck isn't on your side. But it's by far one of the most unique games I've played in years, and a true treat for puzzle fiends and mystery fans."
Blue Prince is available on PC, PS5 and Xbox Series consoles. It's also included on Xbox Game Pass.
Capcom
Monster Hunter Wilds
Monster Hunter Wilds from Capcom is the latest in a long-running franchise of beloved third-person action games. As it says in the title, players need to hunt monsters, and those beasts come in all sizes. After more than two decades, Capcom may've developed the best Monster Hunter game ever.
In this entry, players set foot in the Forbidden Lands, which is filled with unique creatures. Capcom made a slew of upgrades to the game's formula, from quality of life improvements, such as carrying a second weapon and being able to set up camps, to creating a huge open world where the monsters are bigger than ever.
Monster Hunter Wilds is available on PC, PS5 and Xbox Series consoles. It's also included on Xbox Game Pass.
id Software
Doom: The Dark Ages
The Doom franchise made its return in 2016, and it's back with the third game in this new era, Doom: The Dark Ages. The Doomslayer is back, and players will finally learn what happened to the hero when he left Earth to fight the hordes of demons in Hell.
From CNET's review: "All the new additions Id Software introduced in Doom: The Dark Ages are welcome changes to keep a franchise that's been around for more than three decades feeling fresh."
Doom: The Dark Ages is available on PC, PS5 and Xbox Series consoles. It's also included on Xbox Game Pass.
Ubisoft
Assassin's Creed Shadows
Fans of the Assassin's Creed series have been demanding a game set in Japan, and they got it with Shadows. This time around there are two heroes who, to prevail in feudal Japan, will have to contend with military power and unseen forces pulling at the strings.
From CNET's review: "Ubisoft has found what could be the new formula for the franchise, and it will hopefully retool this formula to keep future titles fresh for players. Some diehard fans may find Shadows to be a bit too action-oriented and less stealthy than previous games in the series, but I feel there's still enough of the original formula in this game to satisfy them, as well as those who want to just use a big ol' sword to chop some heads."
Assassin's Creed Shadows is available on PC, PS5 and Xbox Series consoles.
Microsoft
The Elder Scrolls IV: Oblivion Remastered
A surprise game this year was the return of The Elder Scrolls IV: Oblivion. The remastered version of the game seemingly came out of nowhere, and with it came a flood of fond memories for gamers.
Oblivion was released back in 2006, and the remastered version keeps all the important details in place, adding a fresh coat of paint with new graphics as well as more modern controls and quality of life improvements. It's visually impressive while also being faithful to the original, and new and old players simply love it.
The Elder Scrolls IV: Oblivion Remastered is available on PC, PS5 and Xbox Series consoles. It's also included on Xbox Game Pass.
Screenshot by David Lumb/CNET
Like a Dragon: Pirate Yakuza in Hawaii
The Yakuza franchise's spin-off, Like a Dragon, has its own spin-off. Like a Dragon: Pirate Yakuza in Hawaii is a new adventure featuring a mainstay character for the franchise, Goro Majima, and it answers the age-old question, How do you make a Yakuza game even better? Just add pirates.
From CNET's review: "Pirate Yakuza In Hawaii is a fun, light jaunt that benefits from the idiosyncrasies of its specific setup. Rather than telling a story about modern piracy, the game brings cannon-firing pirate ships, crew-on-crew deck melees and buried treasure hunts into modernity without any pesky logical explanation. The game's bizarre mashup energy is its strength, amplified by Sega's Ryu Ga Gotoku studio's signature blend of sincere character moments and wacky hijinks."
Like a Dragon: Pirate Yakuza in Hawaii is available on PS5, PC and Xbox Series consoles.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Forbes
6 minutes ago
- Forbes
How SAP Is Managing AI And Data To Meet ERP Customers Where They Are
SAP CEO Christian Klein opened SAP Sapphire 2025 by highlighting today's business uncertainty and ... More emphasizing SAP's focus on helping customers adapt to new trade rules, regulations and technologies. The discussions at SAP's Sapphire 2025 event in Orlando were different than in previous years — focused, grounded and more customer-centric. SAP's key message was clear: ERP transformation doesn't need to be disruptive, nor is it one-size-fits-all. This is so important — and welcome — because many customers are still operating in hybrid computing environments, managing legacy on-premises systems while also moving some functions to the cloud, and they're navigating complex change cycles. Instead of urging them to leap into the unknown, SAP presented a more modular path centered on embedded AI, flexible data platforms and tools built to meet organizations where they are. I think this pragmatic messaging is a smart approach for SAP, and it was backed up by the announcements from the company throughout the conference. (Note: SAP is an advisory client of my firm, Moor Insights & Strategy.) One of the core architectural shifts discussed was SAP's effort to unify its platform. This is realized through tighter integration of the Business Technology Platform, SAP Business Suite and the Business Data Cloud, which entered controlled general availability earlier this year. BDC, which I wrote about in an earlier Forbes piece, consolidates services including SAP Datasphere, HANA Cloud, SAP Analytics Cloud and BW/4HANA into a single managed environment. It supports both SAP and non-SAP data and is built to reduce fragmentation, simplify access and support analytics, AI models and simulations without data duplication. BDC also includes extended support for older SAP BW systems, offering customers a bridge to modern cloud analytics with less disruption. Meanwhile, the Business Technology Platform (which you'll hear the company call BTP) continues to serve as SAP's foundation for extensibility and automation. On top of that, SAP Build — a tool for creating apps with little to no coding — now includes AI features to help generate code, design user interfaces and automate business logic. These improvements should help both technical and business teams build applications more efficiently and manage workflows with less effort. Integrating Joule — the company's generative AI assistant — across SAP Build, Analytics Cloud and key business applications reflects SAP's intention to make AI a daily utility, not a separate layer or some special extra feature. Among other functions, Joule can now generate and automate processes, surface contextual insights, launch prebuilt AI agents tailored to specific functions, answer natural-language questions and recommend actions based on real-time business data. SAP's AI assistant, Joule, helps orchestrate processes across key business areas such as finance, ... More supply chain, HR and customer experience. SAP's AI strategy is now rooted in an AI-first approach, with AI embedded across the portfolio, and its updated platform reflects this shift. At the center of this is the 'Business AI flywheel,' SAP's framework for linking applications, real-time data and AI — including agents — to support continuous improvement. This 'flywheel' concept includes the Business Data Cloud and Joule. Indeed, Joule plays a central role in this strategy. It's no longer just a task-based assistant — it's becoming an interface that works across products. With integrations for WalkMe (which SAP acquired in 2024) for in-app guidance and Perplexity AI for contextual search, Joule can provide real-time support based on company data. At Sapphire 2025, SAP also introduced AI Foundation, a centralized environment for building, managing and deploying AI agents. To keep those agents working properly, tools like Joule Studio and governance features powered by SAP LeanIX allow organizations to track how AI agents align with business capabilities. Looking ahead, SAP plans to embed AI into 400 business use cases by the end of 2025, reflecting its commitment to making AI part of the everyday experience rather than a standalone function. At the conference, SAP also introduced new intelligent applications built on the Business Data Cloud. These apps address specific needs — People Intelligence for workforce planning, Green Ledger for sustainability reporting, Spend Control Tower for managing procurement and supplier risk, 360 Customer for enhancing customer insights and engagement and the Sustainability Tower for tracking and improving ESG performance. Rather than offering broad, unfocused capabilities, each of these apps is designed to use AI and simulation to support targeted business scenarios. Support for ERP transformation projects remains a priority. SAP has repositioned its RISE with SAP and GROW with SAP programs to reflect the distinct needs of existing and new ERP customers. RISE with SAP is a comprehensive transformation framework for current on-premises SAP ERP customers that are moving to S/4HANA in the cloud. Meanwhile, GROW with SAP focuses on net-new customers adopting SAP cloud-based ERP and includes community-based support and best practices. Both programs are backed by SAP's Integrated Toolchain, which enables architectural modeling, scenario simulation, governance and user adoption planning. The Business Transformation Center, which comes with SAP support licenses, is another potentially helpful addition. BTC helps customers move their systems step by step, archiving old ones. This is a big deal for customers who are hesitant to make significant changes. SAP Build has also been improved to support these transformation projects with low-code and pro-code extensions powered by embedded AI. SCM was one of the more practical focus areas at the event. SAP showed how AI agents help with tasks like demand forecasting, supply chain planning and spotting issues in logistics and operations. Some customers shared early results, saying they've seen better visibility, faster cycle times and improved compliance, especially as they deal with today's shifting trade rules and global supply chain uncertainty. SAP connected this to the idea of Industry 5.0, where automation and AI still leave room for human judgment, accountability and transparency. That message seemed to land especially well with customers in healthcare, manufacturing and the public sector, where AI explainability makes a big difference. SAP also highlighted its growing partner ecosystem, which continues to expand the company's AI and data capabilities. Partners include Google Cloud for machine learning and analytics, Microsoft for productivity tools and infrastructure and AWS for industry-specific AI use cases. Accenture is supporting pre-configured cloud solutions to speed up deployment. Palantir contributes to operational modeling, while Cohere, Mistral AI and Deloitte's Zora AI focus on bringing scalable language models into SAP's environment. As touched on earlier, the partnership with Perplexity AI adds real-time, context-aware search directly into Joule. Databricks — already integrated with SAP's Business Data Cloud through a special partnership — is helping accelerate AI model development. Syniti is working with SAP to address data quality and data readiness, which is a key hurdle for many organizations. To its credit, SAP did not downplay the ongoing hurdles that its customers face. At the event, different customers expressed concern over pricing clarity, the complexity of transitioning to cloud deployments, the delayed availability of key features like full BDC rollout and Joule agent capabilities, and the challenge of mapping all the new tools to practical use cases. Many enterprises also still face foundational issues such as data fragmentation, siloed processes and limited organizational capacity for change. While SAP's tools are definitely improving, customers still need stronger enablement measures and more tailored roadmaps to act with confidence. With this in mind, I think SAP would benefit from focusing more on practical, outcome-driven roadmaps that show customers how new tools actually solve real business problems. It should make it easier to understand how features such as Joule and BDC fit into day-to-day workflows, not just how they fit conceptually. Customers also need more hands-on help — like clear migration plans, industry-specific examples and partner workshops — to build confidence and move forward faster. SAP Sapphire 2025 made it clear that SAP is focusing on helping customers move forward without forcing big, disruptive changes. This year's updates were about making things easier to manage — like better integration across BTP, the SAP Business Suite and the Business Data Cloud. That kind of unification matters for customers trying to connect data, simplify their systems and get more value from what they already have. SAP also expanded its partner network in useful ways to give customers access to more resources, whether that means getting help with cloud infrastructure, AI model development or real-time search. These are practical ways to expand what SAP can offer without trying to build everything in-house. I think customers still have concerns. Many are cautious about moving to the cloud, and with good reason — data cleanup, change management, pricing clarity and keeping things running during the transition are all real challenges. SAP's tools like the BTC and the reworked RISE with SAP and GROW with SAP programs are built to help with this, but organizations want clear guidance, too. In the end, SAP's message was that transformation doesn't have to mean tearing everything out and starting over. Most customers aren't looking for dramatic change; they want progress they can manage. SAP is starting to reflect that more in its products and messaging, and the shift is noticeable. For the ERP world, it's a reminder that the best path forward might not be the fastest, but the one that actually fits.


Forbes
9 minutes ago
- Forbes
AI, Context, And Code: The Quiet Revolution Reshaping Technology
An invisible protocol for AI is quietly replacing apps, search, and even speech. A digital human composed of contextual data trails a stream of information, symbolizing how AI ... More systems will increasingly rely on persistent, personalized context to act with memory, intent, and alignment. AI is everywhere, but it rarely understands us. Context is what turns noise into meaning. It's the connective tissue between moments, memories, and decisions—between what you meant to say and how it's understood. In human communication, context is often taken for granted. When we speak, we pull from shared experiences, references, tone, timing, and body language. Machines don't have that. They see a pattern, not a presence. They respond, but they don't relate. That's why context matters in AI. Without it, machines offer rhetorical fluency without real comprehension. They generate sentences that sound right, but they don't understand what matters most. This is where Model Context Protocol (MCP) comes in. MCP is the scaffolding that helps these pattern-recognition systems approximate something deeper: intersubjectivity—the ability to carry forward shared meaning across interactions. With MCP, machines don't just complete your sentence—they remember what came before, what constraints apply, and what goal you're trying to reach. It's not just helpful. It's foundational. We used to write code to command machines. Now, machines interpret context to act on our behalf. That shift is subtle, but it's rewriting the logic of computing. And that change isn't cosmetic. It's foundational. Model Context Protocol isn't a wrapper. It's not a prompt template. It's not a UX tool. At the core of this shift is a new architectural layer—one that, to date, has received little attention: the Model Context Protocol. If large language models gave us a new kind of intelligence, MCP provides that intelligence with continuity. Boundaries. Memory. Identity. MCP doesn't make models smarter. It makes them situated—capable of acting in our world, on our behalf, without spinning into chaos or contradiction. We don't need faster chips. We need clearer context. If we don't get this layer right, everything built on top of AI, including commerce, creativity, and communication, will falter. Search used to be a map. Now it's a destination. Apps used to be icons. Now they're invisible APIs. Conversation used to be the frontier. Now it's just a stepping stone to thought-based interaction via brain-computer interfaces. We're not asking machines to do things anymore. They are understanding us, and that changes everything. This isn't about the next big app or a killer chatbot. It's about the end of interfaces as we've known them. The UI is disappearing, and what replaces it isn't screens—it's contextual computation. Most people think this is about chat replacing search. That's only part of the picture. Yes, we've moved from lists of links to direct answers—but we've also moved from tapping apps to making requests. You won't open Lyft anymore. You'll say, 'Get me a ride.' And the system—your AI, your phone, your OS—will find the best option based on cost, loyalty, time of day, your calendar, your preferences, and your past behavior. Search and apps aren't disappearing entirely, but they are being reframed. What's rising is execution based on context. Another app store isn't replacing the app store—a new logic of fulfillment is replacing it. And increasingly, the system may choose the brand on your behalf—unless your preferences indicate otherwise. Intent has become the AI platform, and this is what I've said for decades: In the 2000s, that was your browser of choice. In the 2010s, your smartphone. Today, it's the system interpreting your intent. Tomorrow? It will be the invisible, yet essential, contextual architecture that surrounds every intelligent machine you interact with. And this is where Model Context Protocol comes in. MCP is an emerging open standard that facilitates structured communication between AI models and external tools. It is gaining adoption among leading platforms such as OpenAI and Google DeepMind. It enables continuity, constraint, and contextual intelligence by supplying models with a live, structured snapshot of the world they're entering—including the user's goals, past behavior, permissions, and environment. Imagine telling an AI, 'Get me to Austin by tomorrow afternoon for under $500.' Instead of asking follow-up questions, the system already knows your preferences, past decisions, calendar, and approval rules. It checks the right APIs, evaluates your loyalty points, and books the flight—no app-hopping, no extra clicks. That's not just a more intelligent assistant. That's intelligence equipped with context, structured, current, and fully aligned with your goals. Without MCP, models act statelessly—reacting only to the surface of user input, often forgetting what came before or guessing at constraints. With MCP, the model enters the moment in context, with clarity and relevance baked in. Most AI systems today operate in fragments. They respond to inputs, but lose track of continuity, constraints, and identity between sessions. The result? Responses that feel generic, misaligned, or too confident about the wrong thing. MCP flips that. It carries forward structured knowledge—information about who the user is, what they're trying to achieve, what tools are available, and what boundaries exist. It doesn't just process language. It acts with memory, accountability, and purpose. With MCP, you get continuity, transparency, and trust. That said, implementing MCP securely requires attention to risks such as prompt injection and tool permission leakage—challenges that developers and platform providers are actively exploring. To understand the foundational nature of MCP, look back at the origin story of the Web. When you 'surf the web,' you're not just clicking links. Behind every click, HTTP tells your browser how to make sense of what it's pulling: Without HTTP, your browser wouldn't know how to interpret a page. The internet would be a mess of unstructured files. You'd be flying blind. The Model Context Protocol operates in a similar manner, but for intelligence. Instead of structuring how we load pages, MCP structures how machines interpret people, tasks, constraints, and history. It travels with you—across sessions, devices, and domains—ensuring continuity, alignment, and understanding. But where HTTP resides in the browser, MCP is present everywhere—from your phone to your wearables, from your operating system to the immersive worlds you step into. It doesn't just structure virtual experiences. It orchestrates your entire computational footprint. Imagine you get the scary news that you have to be treated for non-Hodgkin's lymphoma. Today, your health records are scattered: electronic medical records (EMRs) in one system, genomics in another, and imaging data floating in the cloud. Your oncologist has to interpret a mosaic of fragmented data, often manually. But with MCP in place, a model assisting your care team has access to a structured, secure, real-time contextual protocol that includes: It doesn't guess. It consults. And every recommendation is tethered to what matters most—you. It's not just faster—it's more personal, more explainable, and more aligned with both clinical guidance and human nuance. You're on vacation. You buy a $600 watch in Lisbon. Normally, that would trigger a fraud alert or card freeze. But a context-aware system governed by MCP doesn't just see a transaction. It sees: Rather than block the charge, the system authorizes it and logs it as expected behavior. No alert. No friction. Total alignment. Because the system isn't just reacting to a data point—it's drawing from your real-time behavior, location, and intent to make a contextually intelligent decision. You enter a VR concert—an avatar-based show from your favorite artist. With no MCP, every experience has to be rebuilt from scratch: However, with MCP embedded at the system level, the environment doesn't need to ask. It already knows: So the system adapts instantly. Your experience feels fluid, personalized, and embodied—not because the model is innovative, but because MCP made the environment aware. These are three radically different domains, but they all share one common need: systems that understand us, not abstractly, but in a contextually relevant way. Different industries, different stakes—but the exact invisible requirement: intelligence that doesn't just compute, but understands. We used to build software with code-first logic—'if this, then that.' Intelligent systems don't work like that. They operate probabilistically. They interpret nuance. They guess what you meant. They decide how to respond based on what they know about you, about the world, and about the constraints you've given them. In other words, they operate in context, and the quality of that context determines the quality of every outcome. That's the revolution. Not faster chips. Not smarter models. Context as compute. Of course, context isn't a panacea. Bad context leads to brittle systems that overfit or misfire. And without transparency, it's nearly impossible to audit why a model made the decision it did. Precision must be earned—and constantly recalibrated. Brain-computer interfaces are no longer science fiction. The distance between intent and action is shrinking fast, and we're nearing a moment when you won't need to type, tap, or even speak. You'll think. The machine will act. In that world, there is no interface. No menus. No 'are you sure?' confirmation screen. Your brain becomes the input layer. And the system, if not fully aligned, becomes dangerous in its fluency. What disappears with conversation is not just UX—it's friction, correction, negotiation. When your mind sends a signal, there's no time to clarify. No chance to restate. No contextual cues, such as facial expressions or tone. The system must already know your preferences, values, limitations, and goals before executing anything on your behalf. This isn't just a shift in interaction; it's a fundamental change. It presents a profound challenge to accountability, regulation, and trust. If something goes wrong—if the system misunderstands your intent or violates your consent—what will we audit? There is no transcript. No written instructions. Only context. In healthcare, the stakes couldn't be higher. Imagine a BCI-enabled system monitoring your neurological signals to adjust a medication or initiate treatment. There's no margin for guesswork. The model must operate within a context grounded in clinical rules, patient history, and real-time consent. That's not just context—it's compliance by design. Commercially, this shifts how choices are made. You won't comparison-shop. You won't click. You'll express a need, and the system will fulfill it. If your brand isn't context-aware, it won't even be part of the decision. Marketing becomes metadata. Preference becomes architecture. This is why Model Context Protocol isn't just a technical spec, it's a governance framework. A way to encode not just what a machine can do, but what it should do, under the terms set by the human it serves. When conversation disappears, context becomes everything. And MCP is what keeps that context aligned, auditable, and human-centered. Today, OpenAI owns your context inside ChatGPT. Apple is building a closed-loop context layer around Siri. Google is doing the same with Gemini. Meta? They're still trying to get back in the room. These aren't just product strategies—they're positioning moves for contextual dominance. The same companies that monetized our clicks, scrolls, and attention spans now want to capture something more profound: our intent, our memory, our identity across time. In Web 2.0, the data economy was built on surveillance and micro-targeting. You didn't own your behavior—platforms did. Now, in the age of AI, they're updating that playbook. Instead of optimizing what you see, they're optimizing what gets done on your behalf. And if they own the context, they own the decision. The question is no longer, 'Who's watching?' It's: 'Whose values shape the system that acts in your name?' This is why platform companies are racing to build closed-loop context layers—ecosystems where your preferences are remembered, but not necessarily portable. Your digital identity may be persistent, but it's not sovereign. The future will depend on whether MCP becomes open, auditable, and user-governed, or whether context becomes the new extraction layer, just hidden behind predictive convenience. Because whoever controls that layer will influence: Context, not code. That's the new dividing line. Code tells machines what to do. Context tells them who they are. And when the machine acts on your behalf, only one of those matters. This is the new terrain for design, ethics, infrastructure, and sovereignty. Not smarter prompts. Not flashier apps. Contextual scaffolding for autonomous execution. In a world where consumers no longer tap, scroll, or search, brand visibility doesn't disappear—but it evolves. When decisions are made by AI systems interpreting context rather than by users navigating menus, brands must shift their focus from front-end design to contextual presence. That means designing for discovery within the system. If the AI is selecting the best option based on your price sensitivity, behavior, or preferences, then the question becomes: Are you structured to be chosen? The brand battle won't happen on screens. It will occur in context layers that determine what is relevant, helpful, and aligned. To win, brands need to think like structured data and act like trusted proxies. HTTP created the Web. MCP for AI will make the next layer: A world where intent flows invisibly through invisible systems. Where cognition, not clicks, defines our digital lives. And where proximity to context, not placement on a screen, determines which ideas, brands, and actions win. If you're still designing for the app economy, you're already behind the curve—design for context. Or disappear into someone else's. The future of AI won't be written in screens, apps, or even prompts. It will be written in the invisible thread of context—what systems remember, how they align, and who they serve. If you're not designing for context, you're not designing for the future of AI; you're defaulting to someone else's.


CBS News
10 minutes ago
- CBS News
Tesla's stock regains ground following Musk spat with Trump
What are the potential implications of the fallout between President Trump and Elon Musk? Tesla's stock price rose in morning trade, regaining some of the ground it lost after an acrimonious online dispute between Elon Musk, CEO of the electric car maker, and President Trump. Tesla shares closed down 14% on Thursday following the heated exchange, with Mr. Trump threatening to strip Musk's companies of their government contracts. The stock was up $15.20, or more than 5%, to $299.90 as of 10:45 a.m. EST. Wedbush tech analyst Dan Ives said the spat unnerved Tesla investors, he remained optimistic the stock would rebound. "Musk needs Trump and Trump needs Musk for many reasons, and these two becoming friends again will be a huge relief for Tesla shares," he wrote in a research note Friday. Tension between Musk and Mr. Trump "does not change our firmly bullish view of the autonomous future looking ahead that we value at $1 trillion alone for Tesla," Ives added, referring to Tesla's push into robo-taxis and self-driving cars. Musk's net worth on Thursday plunged $34 billion because of the fall in Tesla shares, according to the Bloomberg Billionaires Index. In addition to Tesla, Musk owns The Boring Company, Neuralink, SpaceX, X (formerly known as Twitter) and xAI. Tesla share prices have fallen 26% this year.