Ryan T. Murphy
@ryantmurphy.bsky.social
Top 20 AI GTM Engineer | I build AI systems that turn signals into pipeline | 2025 TEDx Jersey City Finalist | Girl & Dog Dad | Featured in HubSpot, Zapier, TheMuse | Let’s Talk: 646-582-0303
your competition isn't using AI to replace their sales team. they're using it to make them 10x more effective. that's the gap that's opening up right now.
February 14, 2026 at 5:24 PM
your competition isn't using AI to replace their sales team. they're using it to make them 10x more effective. that's the gap that's opening up right now.
The companies winning long-term won't be the ones that finish your work faster.
They'll be the ones that help you figure out what work is worth doing.
When did we decide that thinking was the problem AI needed to solve?
They'll be the ones that help you figure out what work is worth doing.
When did we decide that thinking was the problem AI needed to solve?
February 14, 2026 at 9:04 AM
The companies winning long-term won't be the ones that finish your work faster.
They'll be the ones that help you figure out what work is worth doing.
When did we decide that thinking was the problem AI needed to solve?
They'll be the ones that help you figure out what work is worth doing.
When did we decide that thinking was the problem AI needed to solve?
Instead of automating trip planning, they could be helping users navigate complex life choices, understand nuanced social dynamics, or process conflicting information.
But task completion is easier to demo than decision support.
Easier to measure than wisdom.
But task completion is easier to demo than decision support.
Easier to measure than wisdom.
February 14, 2026 at 9:04 AM
Instead of automating trip planning, they could be helping users navigate complex life choices, understand nuanced social dynamics, or process conflicting information.
But task completion is easier to demo than decision support.
Easier to measure than wisdom.
But task completion is easier to demo than decision support.
Easier to measure than wisdom.
I've watched teams deploy task automation only to discover they automated the wrong tasks.
The valuable human time isn't spent on execution.
It's spent figuring out what to execute in the first place.
Meta's AI already lives where 3 billion people make decisions daily.
The valuable human time isn't spent on execution.
It's spent figuring out what to execute in the first place.
Meta's AI already lives where 3 billion people make decisions daily.
February 14, 2026 at 9:04 AM
I've watched teams deploy task automation only to discover they automated the wrong tasks.
The valuable human time isn't spent on execution.
It's spent figuring out what to execute in the first place.
Meta's AI already lives where 3 billion people make decisions daily.
The valuable human time isn't spent on execution.
It's spent figuring out what to execute in the first place.
Meta's AI already lives where 3 billion people make decisions daily.
→ Trip planning and research automation sound impressive until you realize people enjoy those activities
The real issue isn't that AI can't finish work.
It's that most work doesn't need finishing—it needs better starting points.
The real issue isn't that AI can't finish work.
It's that most work doesn't need finishing—it needs better starting points.
February 14, 2026 at 9:04 AM
→ Trip planning and research automation sound impressive until you realize people enjoy those activities
The real issue isn't that AI can't finish work.
It's that most work doesn't need finishing—it needs better starting points.
The real issue isn't that AI can't finish work.
It's that most work doesn't need finishing—it needs better starting points.
You're no longer buying tools that help humans work better.
You're buying digital employees that work independently.
What's the last manual process your team completed that an AI agent could have finished while you were debating whether to automate it?
You're buying digital employees that work independently.
What's the last manual process your team completed that an AI agent could have finished while you were debating whether to automate it?
February 13, 2026 at 7:31 PM
You're no longer buying tools that help humans work better.
You're buying digital employees that work independently.
What's the last manual process your team completed that an AI agent could have finished while you were debating whether to automate it?
You're buying digital employees that work independently.
What's the last manual process your team completed that an AI agent could have finished while you were debating whether to automate it?
The companies getting this right aren't asking "How can AI help my team think faster?" They're asking "What work can AI complete without my team touching it?"
This shift changes everything about enterprise software procurement.
This shift changes everything about enterprise software procurement.
February 13, 2026 at 7:31 PM
The companies getting this right aren't asking "How can AI help my team think faster?" They're asking "What work can AI complete without my team touching it?"
This shift changes everything about enterprise software procurement.
This shift changes everything about enterprise software procurement.
→ Chatbots tell you what to do next
→ AI agents do what needs to be done next
→ Chatbots optimize for conversation quality
→ AI agents optimize for task completion
→ Chatbots scale conversations
→ AI agents scale outcomes
→ AI agents do what needs to be done next
→ Chatbots optimize for conversation quality
→ AI agents optimize for task completion
→ Chatbots scale conversations
→ AI agents scale outcomes
February 13, 2026 at 7:31 PM
→ Chatbots tell you what to do next
→ AI agents do what needs to be done next
→ Chatbots optimize for conversation quality
→ AI agents optimize for task completion
→ Chatbots scale conversations
→ AI agents scale outcomes
→ AI agents do what needs to be done next
→ Chatbots optimize for conversation quality
→ AI agents optimize for task completion
→ Chatbots scale conversations
→ AI agents scale outcomes
In the months after launch, Manus processed 147 trillion tokens and ran tens of millions of virtual computers.
That's not impressive demo metrics.
That's actual work being performed at enterprise scale.
Here's what separates execution engines from suggestion tools:
That's not impressive demo metrics.
That's actual work being performed at enterprise scale.
Here's what separates execution engines from suggestion tools:
February 13, 2026 at 7:31 PM
In the months after launch, Manus processed 147 trillion tokens and ran tens of millions of virtual computers.
That's not impressive demo metrics.
That's actual work being performed at enterprise scale.
Here's what separates execution engines from suggestion tools:
That's not impressive demo metrics.
That's actual work being performed at enterprise scale.
Here's what separates execution engines from suggestion tools:
They're the ones who ship securely and can scale without falling apart.
How many more AI platforms need to fail before we start building security-first instead of feature-first?
How many more AI platforms need to fail before we start building security-first instead of feature-first?
February 11, 2026 at 9:06 PM
They're the ones who ship securely and can scale without falling apart.
How many more AI platforms need to fail before we start building security-first instead of feature-first?
How many more AI platforms need to fail before we start building security-first instead of feature-first?
I've seen this same pattern with automation platforms that promise to revolutionize workflows but break monthly because they prioritized features over infrastructure.
The winners in AI aren't the ones who ship first.
The winners in AI aren't the ones who ship first.
February 11, 2026 at 9:06 PM
I've seen this same pattern with automation platforms that promise to revolutionize workflows but break monthly because they prioritized features over infrastructure.
The winners in AI aren't the ones who ship first.
The winners in AI aren't the ones who ship first.
While everyone's debating whether AI will replace human jobs, we can't even build secure platforms for the AI tools we already have.
February 11, 2026 at 9:06 PM
While everyone's debating whether AI will replace human jobs, we can't even build secure platforms for the AI tools we already have.
→ Security architecture was an afterthought
→ Users trusted the platform with sensitive data
→ Predictable breach exposed everything
The irony?
→ Users trusted the platform with sensitive data
→ Predictable breach exposed everything
The irony?
February 11, 2026 at 9:06 PM
→ Security architecture was an afterthought
→ Users trusted the platform with sensitive data
→ Predictable breach exposed everything
The irony?
→ Users trusted the platform with sensitive data
→ Predictable breach exposed everything
The irony?
It's a pattern I keep seeing with AI-focused platforms: companies rush to market with the "AI-first" positioning but skip the fundamentals.
Here's what actually happened:
→ Company saw opportunity in the bot ecosystem hype
→ Built fast, marketed faster
Here's what actually happened:
→ Company saw opportunity in the bot ecosystem hype
→ Built fast, marketed faster
February 11, 2026 at 9:06 PM
It's a pattern I keep seeing with AI-focused platforms: companies rush to market with the "AI-first" positioning but skip the fundamentals.
Here's what actually happened:
→ Company saw opportunity in the bot ecosystem hype
→ Built fast, marketed faster
Here's what actually happened:
→ Company saw opportunity in the bot ecosystem hype
→ Built fast, marketed faster
But most organizations are still choosing speed over security protocols.
How many AI tools did your team deploy this quarter without a formal security review?
How many AI tools did your team deploy this quarter without a formal security review?
February 10, 2026 at 5:00 PM
But most organizations are still choosing speed over security protocols.
How many AI tools did your team deploy this quarter without a formal security review?
How many AI tools did your team deploy this quarter without a formal security review?
The companies getting this balance right are treating AI security audits as enablers, not blockers.
They're running parallel tracks - innovation sandbox environments for testing while security frameworks catch up.
They're running parallel tracks - innovation sandbox environments for testing while security frameworks catch up.
February 10, 2026 at 5:00 PM
The companies getting this balance right are treating AI security audits as enablers, not blockers.
They're running parallel tracks - innovation sandbox environments for testing while security frameworks catch up.
They're running parallel tracks - innovation sandbox environments for testing while security frameworks catch up.
The GTM leaders I work with are caught between two pressures: their teams want AI tools deployed yesterday, and their security teams want months of testing.
Both sides are right.
Both sides are right.
February 10, 2026 at 5:00 PM
The GTM leaders I work with are caught between two pressures: their teams want AI tools deployed yesterday, and their security teams want months of testing.
Both sides are right.
Both sides are right.
China's recent security warning about OpenClaw highlights what happens when adoption moves faster than governance.
Organizations deploying these tools need comprehensive security audits before rollout, not after incidents.
Organizations deploying these tools need comprehensive security audits before rollout, not after incidents.
February 10, 2026 at 5:00 PM
China's recent security warning about OpenClaw highlights what happens when adoption moves faster than governance.
Organizations deploying these tools need comprehensive security audits before rollout, not after incidents.
Organizations deploying these tools need comprehensive security audits before rollout, not after incidents.
→ Public network exposure that wasn't identified during rapid deployment
→ Integration points that bypass existing security frameworks
→ Shadow AI adoption where teams implement tools without IT approval
→ Integration points that bypass existing security frameworks
→ Shadow AI adoption where teams implement tools without IT approval
February 10, 2026 at 5:00 PM
→ Public network exposure that wasn't identified during rapid deployment
→ Integration points that bypass existing security frameworks
→ Shadow AI adoption where teams implement tools without IT approval
→ Integration points that bypass existing security frameworks
→ Shadow AI adoption where teams implement tools without IT approval
Every organization rushing to deploy AI agents should be asking themselves: do we have the security foundation to support what we're building, or are we just creating new attack vectors?
February 9, 2026 at 4:29 PM
Every organization rushing to deploy AI agents should be asking themselves: do we have the security foundation to support what we're building, or are we just creating new attack vectors?