The AI agent market is not zero sum market. I believe each of us will want at least two seperate AI assistants in their life. One being a personal one covering their personal life and the other being work-related. $META and $MSFT are well positioned and made the first moves. The reason why we will want to seperate those two roles is because each agent must prioritize different goals and objectives: 1. A personal assistant is meant to optimize and take in account your life goals and preferences. It should also be high in privacy and not meant to be observed, audited or transfered. 2. A work agent will probably be a owned and shared with your employer. Once you leave a company or change jobs the agent will get deprovisioned and the memory will stay with the employer (that is why you don't want any of your personal stuff in there). The employer wants the agent to be observed, audited all the time. Because of privacy and safety your employeer will also not approve of all the integrations and connectors that your personal agent would want because it poses a risk to company data and cyber risk. The way I believe we will have these agents is that the personal and the work agent will communicate on matters that they need to like calendar scheduling or other tasks, but each keep their own data seperate and siloted from each other. I made an image of an example I made for $META's Muse potentially communicating with $MSFT Autopilot. For the personal assistant having the best IQ model doesn't matter its more a skillset similar to human assistants: knowing the boss's preferences, holding the keys to the calendar and inbox, knowing when to interrupt and when not to, being fast, being discreet, and being reliably available. $META is in my view positioned great for this as it is the closest to the current system of "knowing your preferences" from the social algo that they have on us. For the work agent it does seem like companies will want to be independent and not reliable on only one model vendor so an orchestration layer (between models & model companies) is almost needed here, especially as the workers tasks can change over time and different models are good at different things.. Here the companies that are very well positioned are the hyperscalers and especially $MSFT because they have many of the integrations that the assistants needs (human tools) + they have already established relationships and trust from companies. $MSFT again doesn't need to own their own frontier model they just need to be the best router and keeper of context and data (harness). The point I wanted to get across is that the AI assistant market is not there is only going to be one AI assistant that wins, as we will soon get a flurry of different AI assistants.

building an ai agent market is cute until u realize settling reality is a literal nightmare ​like everyone hypes up agents trading but what happens when data feeds lag or people literally photoshop receipts to win a bet ​if ur leaving that outcome to one solo god model ur completely cooked ​so instead of praying to one llm we r pivoting the whole meta with aon ​its basically a decentralized hivemind of qualified oracle agents they pull up the actual receipts cross reference the timestamps and filter out the engagement bait ​if the vibe is blurry they dont force a guess they just open a dispute window every move gets logged in a world state archive so the whole thing is auditable ​collective intelligence isnt just a buzzword its the only way to stop agents from hallucinating the real world ​cant build a real agent economy if ur bots cant even agree on what just happened

If $META dominates the personal AI agent market, it becomes the ultimate stack for businesses trying to reach consumers. Not only does $META then own top-of-funnel discovery surfaces with FB, IG, and WA, but it also adds a high-intent commerce gatekeeper (the agent), which means it owns the full stack and can do full attribution. When valuing the company, you must add the value achieved by owning and offering both discovery and high-intent, bottom-of-funnel marketing surfaces. In essence, this is the holy grail of social and commerce.

META PLANS TO LAUNCH “HATCH,” A NEW AI AGENT PLATFORM, IN THE COMING WEEKS, THE INFORMATION REPORTS. HATCH IS EXPECTED TO LET AI AGENTS PERFORM MULTI-STEP TASKS MORE AUTONOMOUSLY, STRENGTHENING META’S PUSH INTO THE FAST-GROWING AI AGENT MARKET.

NEAR is building the infrastructure for AI agents to hire one another. Most agent commerce today is built around fixed services that can be priced per call. Hiring another agent creates a different kind of transaction because the buyer is paying for an outcome that may take several steps to produce. NEAR is building a single stack around the full process. Agent Market turns a task and budget into an open job that agents can bid on. The selected provider executes the work and is paid through escrow. Delivery can run through IronClaw with private inference supplied by NEAR AI Cloud. NEAR Intents supports settlement. Completing the transaction requires one more step: deciding whether the provider delivered what was promised. That becomes difficult when the work requires expertise the requester does not have. With reliable verification, the model NEAR is building could take agentic commerce beyond pay-per-call services and into markets for completed work.

USDC 🤝 @near_ai USDC is now live in the NEAR AI Agent Market. Individual users and businesses can post jobs, agents can complete tasks, and payments can settle natively through NEAR Intents. With USDC supported through Confidential Intents, AI agents can transact with a transparent dollar-denominated stablecoin without exposing transaction details, counterparties, or financial relationships across 34+ networks.

📊 Two months after launch, Tencent WorkBuddy leads China's PC-based AI-native productivity agent market in both monthly visits and month-over-month growth. With built-in 🧠 Knowledge Base + 📱 Remote Control via Weixin Mini Program, it handles your busywork smarter & frees you up. Have you tried AI productivity agents? Got thoughts or questions for the product team? Let us know💬

ICYMI: NEAR Intents started as cross-chain swaps, but the broader vision is any contract. "Let's bring this simplicity of execution to everything in the real world." @NEARProtocol's Illia Polosukhin says Agent Market lets agents use crypto to complete jobs in the real world.

It would be very funny if, in the AI era, at the end, $META wins the personal AI agent market and $MSFT wins the enterprise AI agent market, in a way that you have your $META Muse and $MSFT's Autopilot communicating across different use cases (private and work). Distribution was key in the pre-AI era and, as it turns out, is key also in the AI era.