4/ Agentic systems are built on five pillars: • Memory • Reasoning loops • Tool use • Multimodality • Orchestration Together, they replace workflows with autonomy. ๐งต๐๐
1/ ๐ 2026 marks the tipping point for Agentic AI – autonomous, goal-driven systems that can think, act, and improve themselves. This is not sci-fi; it’s happening now. ๐งต๐๐ @AndrewYNg@ilyasut@ylecun@karpathy@emollick
2/ ๐ค Unlike traditional AI, agentic systems don’t just assist—they orchestrate workflows, from supply chains to creative content, augmenting human productivity at scale. ๐งต๐๐ @ProcessISInc@AnthropicAI@huggingface@AgentDotAi
3/ ⚖️ But with autonomy comes ethics: bias in decisions, privacy erosion, job displacement, and misalignment with human values. Society must navigate these dilemmas carefully. ๐งต๐๐ @hcompany_ai@AgenticTrust@AgenticPodcast@AgenticFleet
4/ ๐ก️ Security risks are real: rogue agents, prompt injections, memory poisoning, and cascading failures can ripple through organizations and critical infrastructure. Oversight is non-negotiable. ๐งต๐๐@zentry@FireMosu@TheTuringPost@JD_2020@AgenticPet
5/ ๐ก The explosion of agentic AI is fueled by hardware breakthroughs, regulatory clarity, and market forces. Trillion-parameter models, edge computing, and AI factories are now the norm. ๐งต๐๐ @LiqAgLST@Arhamdotai@AgentsAi_@CogniAIAgents
6/ ๐ Global adoption creates a multipolar AI landscape: the U.S. leads enterprises, China focuses on security & defense, and emerging markets innovate with accessibility-first approaches. ๐งต๐๐@UditGoenka@0xAsharib@Vela@stackai_xyz@recallnet
7/ ๐ง Thriving in this era means human-AI collaboration: lifelong learning, orchestrating agents, ethical governance, and resilient policies are key to harnessing AI responsibly. ๐งต๐๐ @AndrewYNg@ilyasut@ylecun@karpathy@emollick@c_valenzuelab
8/ ๐ฐ Economic impact is massive: trillions in value unlocked, efficiency gains across industries, and new opportunities in startups and agentic entrepreneurship. ๐งต๐๐ @ProcessISInc@AnthropicAI@huggingface@AgentDotAi
9/ ๐ฑ Visionary scenarios are possible: agentic AI could eradicate inefficiencies, optimize aid, and enhance human potential—but only with ethical, inclusive strategies. ๐งต๐๐@hcompany_ai@AgenticTrust@AgenticPodcast@AgenticFleet
10/ ๐ The takeaway: 2026 is the year of proof. Agentic AI is here. Success depends on aligning innovation, governance, and human adaptability. Are we ready? ๐งต๐#AgenticAI#AI2026#FutureOfWork#EthicalAI#Cybersecurity
When Marketing Principles Disappear: How Agentic AI Turns Timeless Truths into Invisible Machinery
For decades, marketers have repeated a comforting mantra: marketing principles are timeless. Human psychology doesn’t change. Storytelling still matters. Value propositions still win. Trust still compounds.
All of that remains true.
And yet, with the arrival of Agentic AI, something profound has shifted—not in what marketing principles are, but in where they live and who applies them.
Marketing has entered a phase where the principles still govern outcomes, but humans no longer touch them directly. They have moved underground, embedded inside autonomous, multimodal AI agents that operate at a layer most marketers never see.
What we are left with, increasingly, are inputs and outputs.
From Principles to Pipelines
Traditional marketing was principle-driven and human-executed.
A marketer would:
Identify a customer need
Craft a message
Choose a channel
Test variations
Analyze results
Iterate based on insight
Even when tools became more sophisticated—CRMs, ad platforms, marketing automation—the human still sat in the loop, consciously applying principles like positioning, differentiation, social proof, and urgency.
Agentic AI breaks this loop.
In an agentic system:
The inputs might be goals, constraints, brand voice, budgets, or datasets.
The outputs are campaigns, creatives, funnels, pricing strategies, and performance optimizations.
The middle—where principles once lived—is now owned by autonomous agents.
The marketer no longer “applies” marketing principles. The marketer configures systems that apply them.
Marketing Principles Didn’t Die—They Went Dark
Think of marketing principles like gravity.
Early humans had to understand gravity intuitively to build structures. Modern engineers don’t think about gravity every second—it’s embedded in formulas, simulations, and software.
Agentic AI does the same to marketing.
Concepts like:
Segmentation
Messaging resonance
Frequency control
Conversion psychology
Lifecycle marketing
Brand consistency
…are now compiled into the agent’s decision-making process.
The agent:
Tests thousands of variations simultaneously
Learns in real time across channels
Adjusts messaging per user, per moment, per context
Coordinates text, image, audio, and video as a single system
To the human operator, it feels like marketing principles have vanished.
They haven’t.
They’ve become invisible infrastructure.
The Rise of Input–Output Marketing
This shift creates a strange psychological effect for marketers.
You provide:
A goal: “Grow enterprise signups by 20%”
A constraint: “Maintain premium brand positioning”
A dataset: past campaigns, customer behavior, market signals
The system returns:
Campaigns
Copy
Creatives
Media plans
Optimization loops
At no point do you explicitly discuss:
AIDA
Jobs-to-be-done
Emotional triggers
Funnel stages
Behavioral nudges
Those are now handled by the agents.
Marketing begins to feel less like craft and more like orchestration.
Why This Feels Disorienting to Humans
Humans derive meaning from process. Agentic AI abstracts process away.
This creates three tensions:
1. Loss of Visibility
When you can’t see how decisions are made, expertise feels devalued—even when outcomes improve.
2. Loss of Identity
Many marketers define themselves by mastery of principles. When AI applies those principles better and faster, the human role must evolve.
3. Illusion of Simplicity
Because interaction is reduced to inputs and outputs, marketing can look deceptively easy—masking the immense complexity beneath the surface.
This is why some marketers say, “It doesn’t even feel like marketing anymore.”
They’re right. It’s not human marketing.
Agentic AI as the New Marketing Middle Layer
In the agentic era, marketing has three layers:
Intent Layer (Human)
Goals
Ethics
Brand identity
Strategic direction
Execution Layer (Agentic AI)
Application of principles
Multimodal content generation
Real-time optimization
Cross-channel coordination
Outcome Layer (Human + Business)
Revenue
Growth
Brand equity
Customer relationships
The middle layer—the domain of classic marketing practice—has become automated.
That is the real disruption.
What Changes—and What Doesn’t
What doesn’t change:
Human psychology still governs behavior
Trust still matters
Value still wins
Story still sells
What changes:
Humans stop manually applying principles
Marketing becomes system design, not message crafting
Strategy shifts from doing to directing
Competitive advantage moves to who configures better agents, not who writes better copy
In other words: Marketing principles are timeless—but their execution is no longer human-time.
The New Marketer: Architect, Not Artisan
In the Agentic AI era, the marketer evolves from:
Copywriter → Prompt architect
Campaign manager → System designer
Analyst → Outcome interpreter
Practitioner → Strategist
The art doesn’t disappear. It moves up a level.
You don’t paint the brushstrokes. You design the machine that paints them—at scale, across modalities, in real time.
Agentic AI doesn’t invalidate marketing principles. It absorbs them.
What looks like a world of simple inputs and outputs is actually a dense forest of embedded logic, learned behavior, and encoded psychology—operating faster and broader than any human team ever could.
For those who cling to visible tactics, this feels like loss.
I made a list of 100 AI startup ideas. From that I picked 10 most likely to become unicorns the fastest. Of those 10, the analysis showed, the one with the greatest solara potential was AI + Marketing. ๐งต๐๐@JustinRondeau@marktraphagen@tomfgoodwin@kassypajarillo
A CoFounder is a highly innovative person in digital marketing who will invest 10M at a 100M valuation. This startup will get on a fast track to a trillion dollar valuation. @neilpatel ๐งต๐๐
I made a list of 100 AI startup ideas. From that I picked 10 most likely to become unicorns the fastest. Of those 10, the analysis showed, the one with the greatest solara potential was AI + Marketing. ๐งต๐๐ @EllenLevy@juliahartz@KimPerell@ChloeS@AngelInvestGuy
The vision is to turn marketing into electricity. The technology for that does not exist, but will in about five years. The time to start, though, is now. ๐งต๐๐@EverettJack1
