Directions Brain

2026-01-09-alonhuri-linkedin-vibe-acting

6 min read

Alon Huri — The next stage of AI won’t talk to you, it will act for you (January 2026)

Source: raw/articles/2026-01-09-alonhuri-linkedin-vibe-acting.md

Note: LinkedIn post by alon-huri (Managing Partner at team8); ~5 months before the 2026-05-30 capture; date approximated to 2026-01-09 (Friday) per Alon’s stated weekly Friday cadence. Hebrew original; load-bearing claims translated to English here.

Summary

Alon argues the next layer above conversational AI is what he calls Vibe Acting — AI that doesn’t just understand and respond, but takes real-world actions on the user’s behalf based on context, intent, and pre-set constraints. Where his prior “Vibe Shopping” thesis (8 months earlier) framed AI-as-shopping-assistant as a UX shift, Vibe Acting is the closing of the loop: understand → decide → execute. He gives concrete vertical examples (healthcare, finance, insurance, legal, SMB-ops) and points to “Agentic Payments” as a real infrastructure milestone (Visa + Mastercard already shipping permission/limit/control rails). Argues the LLM giants have a structural ceiling — they cannot reach bank accounts, medical records, legal documents, business systems, or deep personal context — and that’s exactly the entrepreneurship opening for vertical applications + the infrastructure that makes Vibe Acting possible at all.

Key claims

  • Conversational UX is now a layer, not a feature. Users increasingly start tasks in chat (“what do I need? what matters to me? what would make me feel safe in this decision?”) rather than in forms or search.
  • Vibe Acting = the next stage. The progression: AI that understands (Vibe Shopping, 8 months earlier) → AI that understands + acts on the user’s behalf based on context, intent, and constraints, even when those weren’t stated explicitly.
  • The pattern: understand → decide → execute. Not “AI that answers nicely,” but “AI that closes the loop.”
  • Concrete vertical examples Alon names.
    • Healthcare: “Book me an appointment, but pick a cardiology specialist at the head-of-department level, verify they’re covered by my insurance, and update me if there’s a slot before end of month.”
    • Finance: “Manage my accounts this month — make sure there are no unnecessary fees, transfer funds to the right account, stop and report anything unusual.”
    • Insurance: “Business grew, five new employees added — update coverage accordingly, check for better deals, present 2 alternatives before changing.”
    • Legal: “I have a contract — flag risks, propose alternative wording, and if I approve, send the corrected version to the other side.”
    • SMB-ops: “New employees — set up onboarding, open users in all systems, ensure all forms are signed.”
  • Agentic Payments as the real infrastructure milestone. Payment doesn’t happen because someone clicked a button — it happens because an AI agent has authority to pay on behalf of the user, under pre-defined rules. Examples: “Pay up to $300 only if rating > 4.5”; “Renew the subscription only if price did not rise more than 10%.” Visa and Mastercard (and others) are already building the infrastructure: permissions, limits, controls. This is “AI that recommends” → “AI that acts in the real world responsibly.”
  • The structural opportunity for entrepreneurs. LLM giants build incredible understanding + conversation layers, but have a built-in limit — not because they aren’t smart enough, but because they can’t access what makes Vibe Acting actually possible: bank accounts, medical records, legal docs, business data, deep personal context. That is the founder opening: vertical applications + the infrastructure that lets Vibe Acting work safely.
  • Required infrastructure layer. Smart permissions, privacy, security, system connections, accountability, regulation, and the ability to act without endangering the user — plus countless vertical applications.
  • The headline framing. “In the last decade we built systems that wait for us to click. In the next decade we’ll build systems that understand what we want and act.”

Notable quotes

  • “השלב הבא של AI לא ידבר איתך, הוא יעשה במקומך.” — The next stage of AI won’t talk to you, it will act for you.
  • “זה ההבדל בין ‘AI שמבין ומדבר יפה’ לבין AI שסוגר מעגל: מבין → מחליט → מבצע.” — That’s the difference between ‘AI that understands and speaks nicely’ and AI that closes a loop: understands → decides → executes.
  • “בעשור האחרון בנינו מערכות שמחכות שנקליק. בעשור הבא נבנה מערכות שמבינות מה אנחנו רוצים, ופועלות.” — In the last decade we built systems that wait for us to click. In the next decade we’ll build systems that understand what we want and act.
  • “חברות ה-LLM הגדולות בונות שכבות מדהימות של הבנה ושיחה. אבל יש להן מגבלה מובנית, לא כי הן לא חכמות מספיק, אלא כי הן לא יכולות לקבל גישה ישירה למה שהופך Vibe Acting לאפשרי באמת: חשבונות בנק, רשומות רפואיות, מסמכים משפטיים, נתונים עסקיים, והקשרים אישיים עמוקים.” — The big LLM companies build amazing layers of understanding and conversation. But they have a built-in limit — not because they aren’t smart enough, but because they can’t get direct access to what makes Vibe Acting actually possible: bank accounts, medical records, legal documents, business data, and deep personal context.

Why this matters for the team

  • Sharpens agent-native-go-to-market. Where the team’s framing focuses on agents consuming the Brain’s context and Alon’s earlier post on agents generating growth experiments (2026-05-16-alonhuri-linkedin-ai-native-growth-hacking), this post adds the third layer: agents that take actions in the real world. The team’s Brain layer becomes load-bearing for all three (consumption, generation, action) — but the action layer is the most valuable and least solved.
  • Validates the verticalization thesis from the LLM-ceiling argument. Alon’s framing — frontier labs can’t reach the data and consent boundaries that vertical apps own — is the same architectural argument behind vertical-use-case-led-brain but made more sharply. The LLM-ceiling line is a quotable pitch for the team: the foundation labs are the ceiling, not the competitor.
  • Direct overlap with clinical-data-portability. Alon’s healthcare example (“book me a cardiology specialist…”) is a Vibe-Acting flavor of the ari-leshno glaucoma flow. The Brain’s role: hold the patient’s longitudinal context so the action agent can ground its decisions correctly.
  • Anchors a discussion the team hasn’t had yet. None of the team’s existing topics distinguish the action layer from the agent-native context layer — they treat them as one. This source argues they are different products. Worth raising in the next directions sync.
  • Skepticism caveat. Same as all Alon sources — Team8 partner; advocacy-shaped, not neutral.

Mentioned in

Graph View

Backlinks