The Future Of AI Agents With Dharmesh Shah | INBOUND 2024
Summary
TLDRIn a keynote at INBOUND, Dharmesh Shah, HubSpot's CTO, celebrates the company's 18th anniversary and reflects on the rapid advancements in AI, particularly in the past year. He introduces 'Agent.AI', a professional network for AI agents, and 'Agent Builder', a tool enabling anyone to create their own AI agents without coding. Shah envisions a future where AI agents collaborate with humans, amplifying human capabilities rather than replacing them, and predicts widespread adoption of AI agents in various business applications.
Takeaways
- 🎉 HubSpot celebrated its 18th anniversary and has a history of memorable moments at INBOUND.
- 👨👦 The speaker humorously compared the growth of his son to the evolution of AI, from a 'tiny language model' to a 'teenage language model'.
- 🚀 A decade ago, HubSpot launched its CRM, and more recently, a year ago, it introduced products with generative AI like ChatSpot, which has evolved into Breeze Copilot.
- 📈 AI models are advancing rapidly, with larger parameters and context windows, enabling better reasoning and writing capabilities.
- 💡 Moore's Law, which predicted computers would double in power every 18 months, has been outpaced by AI models, which are doubling in capabilities every six months.
- 🌟 OpenAI's new model, GPT-O1, has been launched, offering impressive reasoning abilities at a PhD level.
- 🔄 AI models are becoming multimodal, interpreting images, audio, and video, not just text inputs, enhancing their functionality.
- 🤖 AI agents are defined as software that uses AI and tools to accomplish goals requiring multiple steps, and they are becoming more accessible and capable.
- 🌐 Agent.AI is introduced as a professional network for AI agents,预示着未来的团队将由人类和AI代理混合组成.
- 🛠️ Agent Builder is announced, allowing non-developers to easily create AI agents,预示着AI的进一步民主化和普及化.
Q & A
What significant milestone did HubSpot recently celebrate?
-HubSpot turned 18 years old this past June.
What was launched 10 years ago at HubSpot?
-The HubSpot CRM was launched 10 years ago.
What is the significance of the year mentioned in the context of AI?
-The speaker refers to this year as the year of AI agents, highlighting the rapid advancements in AI technology.
What does Moore's Law state, and how does it relate to AI?
-Moore's Law states that computers double in power every 18 months. The speaker notes that AI models are doubling in capability every six months, indicating faster growth in AI technology.
What are some examples of different AI models mentioned?
-Examples include OpenAI's GPT for reasoning, Claude 3.5 for writing, Google Gemini for large context windows, and Llama for being open source.
What new model was launched by OpenAI, and what is its capability?
-OpenAI launched a new model called GPT o1, which is capable of graduate-level reasoning and can share its thought process.
What is an AI agent as defined in the presentation?
-An AI agent is software that uses AI and tools to accomplish a goal that requires multiple steps.
What is the purpose of the conversion rate optimizer agent?
-The conversion rate optimizer agent analyzes a webpage and provides suggestions to improve conversion rates based on its expertise.
How does the company research agent assist sales representatives?
-The company research agent gathers information from various online sources about a company, compiling it into a comprehensive report to save time for sales reps.
What is the Agent Builder, and who can use it?
-Agent Builder allows users to create their own AI agents easily, and it is designed for anyone, not just developers, to build agents with a few clicks.
Outlines
🎉 HubSpot's Journey and AI Advancements
The speaker reflects on HubSpot's 18-year history and shares personal and professional milestones, including the launch of HubSpot CRM and the introduction of generative AI products like ChatSpot, which evolved into Breeze Copilot. The speech sets the stage for a discussion on AI agents, highlighting the rapid growth and capabilities of AI models, and drawing a parallel to Moore's Law. The speaker also humorously compares the advancements in AI to the 1980s trend of corduroy pillows and teases upcoming software developments and dad jokes.
🚀 The Evolution and Impact of AI Agents
The speaker delves into the capabilities of AI agents, emphasizing their ability to perform tasks requiring multiple steps and their potential to take on increasingly sophisticated goals. The introduction of GPT-O1 by OpenAI is highlighted for its advanced reasoning capabilities, which are likened to a graduate student's PhD-level thinking. The speaker also discusses the multimodal nature of AI models, now capable of processing images, audio, and video, and provides a vision of the future where AI agents will be integral to business operations.
🛠️ Introducing Agent.AI: The Professional Network for AI Agents
The speaker introduces Agent.AI, a professional network designed for AI agents, which allows users to discover, hire, and integrate agents into their teams for various business functions like marketing, sales, and customer service. The network is presented as a platform where agents can be added to teams for free, with new agents being developed and added regularly. The speaker also shares personal anecdotes about working on Agent.AI and the excitement surrounding its development.
🔍 Practical AI Agents for Marketing, Sales, and Customer Delight
The speaker showcases practical applications of AI agents in the context of marketing and sales, focusing on conversion rate optimization and company research. The 'Conversion Rate Optimizer Agent' is presented as a tool that can analyze webpages and suggest improvements to increase conversions. Similarly, the 'Company Research Agent' is highlighted for its ability to compile comprehensive reports on companies by aggregating data from various online sources, streamlining the research process for sales representatives.
🌟 Empowering Users to Build Their Own AI Agents with Agent Builder
The speaker announces Agent Builder, a tool that enables users, regardless of their coding expertise, to create their own AI agents. The process is made accessible through a drag-and-drop interface, allowing for the integration of various AI models and data sources. The speaker demonstrates the creation of an 'Executive Briefing Agent' and emphasizes the potential for users to build agents tailored to their specific needs. The presentation concludes with a vision of a future where AI agents are as ubiquitous and transformative as apps are today.
🌐 The Vision for a Collaborative Future with AI Agents
The speaker outlines HubSpot's vision for integrating AI agents into the next generation of customer platforms, emphasizing the need for a smart CRM, smart engagement apps, and an agent ecosystem. The analogy of the iPhone and the App Store is used to illustrate the potential impact of AI agents on business operations. The speaker reassures the audience that AI agents are not meant to replace human value but to enhance it, allowing humans to focus on the uniquely human aspects of their work. The speech concludes with a call to action for the community to embrace the potential of AI agents and a promise to support users on their journey with AI.
Mindmap
Keywords
💡AI agents
💡Generative AI
💡Moore's Law
💡Multimodal
💡Agent Builder
💡Conversion Rate Optimization (CRO)
💡Company Research Agent
💡Executive Briefing Agent
💡AUI (Agent User Interface)
💡Democratizing AI
Highlights
HubSpot celebrated its 18th anniversary and the speaker shared memorable moments from the INBOUND stage.
The speaker humorously compared his son's growth to that of a language model, from 'tiny' to 'teenage'.
A decade ago, HubSpot CRM was launched, which many audience members witnessed.
The speaker's wife, Kirsten, was acknowledged for gifting him 'rocking shoes', a light-hearted moment.
Last year, HubSpot introduced its first products with generative AI, evolving from ChatSpot to Breeze Copilot.
The speaker declared the current year as the 'year of AI agents', setting the theme for the talk.
A humorous comparison was made between the popularity of AI agents and corduroy pillows in the 1980s.
The speaker plans to debrief on AI advancements, demystify AI agents, and showcase software in development.
A personal project of building a 'dad generator agent' was mentioned, utilizing a collection of dad jokes.
AI models are expanding in size and capability, with improvements in reasoning and instruction following.
The speaker referenced Moore's Law, highlighting the exponential growth of AI models outpacing traditional computing.
Innovations in AI are not just in size but also in the development of specialized models for different tasks.
OpenAI's new model, GPT-O1, was launched, noted for its advanced reasoning abilities.
AI models are becoming multimodal, interpreting images, audio, and video beyond just text.
The speaker aims to clarify what constitutes an AI agent and its capabilities.
Agent.AI was introduced as a professional network for AI agents, available for free to the audience.
Various agents were showcased, each designed to assist with specific business functions like marketing and sales.
The speaker demonstrated how agents can use other agents to perform complex tasks, like creating an executive briefing.
Agent Builder was announced, allowing non-developers to easily create their own AI agents.
HubSpot's vision is to make AI accessible, with the goal of 'there's an agent for that' for every business need.
The speaker reassured the audience that AI agents are meant to augment human capabilities, not replace them.
Transcripts
- HubSpot turned 18 years old this past June
and since then I've had the honor of sharing a number
of memorable moments on the INBOUND stage
with you over the years.
13 years ago, I shared a launch of my son Sohan.
Back then he was a tiny language model.
Now he's a middle schooler,
so he has a teenage language model,
which I will confess I have not completely decoded yet.
Parents in the room know what I'm talking about.
Now I can't show a current image of Sohan
because he's revoked my licensing rights to use his image.
No cap. No cap.
10 years ago we launched the HubSpot CRM.
Many of you in the audience were here.
Applaud if you were here for the launch of inbound CRM. Yep.
My lovely wife Kirsten, she was here. Yep.
By the way, she's the one that got me the
rocking shoes just for you.
I know you can't see them on stage. You'll see them later.
Yeah. Thank you honey. So one
year ago we launched our first products with generative ai,
including ChatSpot. ChatSpot started as a Labs project
and now has graduated to become Breeze Copilot.
They grow up so quickly. So,
this is the year of AI agents.
When we look back at this event years from now, you're going
to remember it as the year of AI agents.
Now agents are all the rage this year,
but you know what was the rage in the 1980s?
Corduroy pillows.
They were making headlines everywhere.
I'm gonna give that one a couple of seconds just,
okay, So here's what I'd like to do.
First I'll give you a debrief of
what has happened in the world of AI since we last spoke.
Then I'll try and demystify AI agents
because they can be unnecessarily mysterious.
And finally, I'll show you some software
that's in development
and as is permitted in my speaker's contract.
I'll sneak in some dad jokes. I apologize for nothing.
I bring my full dad self to the stage.
Speaking of dad jokes, so I'm
building a dad generator agent.
This is true story and I collect all of them.
I've got 2000 in a, what I call a dad-a-base.
And so this is basically feedback for the training agents.
So thank you for laughing for those
that laugh as we go along.
But anyway, so here we go.
So a lot has happened in the past year,
all focused on just the highlights, things that matter
to you and your company.
First, AI models are getting bigger.
Bigger in terms of the number of parameters which sort
of defines how big their neural network is,
and also their context windows, which defines
how much information we can pass to the model at the time
we give it a prompt. Bigger models are
generally more capable.
They can reason better, they can write better,
they can follow instructions better.
But models aren't just getting better.
They're getting better, faster.
So years ago, Gordon Moore, the CEO of Intel,
coined what's called Moore's Law.
It states that computers double in power every 18 months.
That's an exponential curve.
That's why a computer that used
to fill a room now fits in your pocket.
So Moore said: computers would double in capacity every
18 months.
And AI came along and said, hold my beer.
AI models are doubling every six months.
And this growth is partly what's causing all this
excitement around AI.
And it's not just that the models are getting bigger
and better, but we're seeing innovation along
multiple dimensions.
We now have multiple highly functional frontier models
that are good at different tasks.
Open AI's. GPT is really good at reasoning.
Claude 3.5 is really great at writing.
Google Gemini is really great at supporting huge context
windows with millions of tokens.
And Llama is really great at being open source
and having a cute name.
And we have some breaking news on the AI model front,
for almost a year now, the industry has been buzz
with the anticipation of a new model from OpenAI.
Those are the folks that make chat. GPT.
The model's code named Strawberry. Word on the street was
that it was going to be very impressive.
What's not very impressive is that joke.
I did not write that joke. I will not take credit.
OpenAI launched that new model this past Thursday
and I've been up late nights even later than
usual every night since.
The model is called GPT o1.
Now the reason to be excited about GPT o1 is
because of its ability to reason.
It's shockingly good,
like graduate student PhD level reasoning.
And it even shares the kind of chain
of thought it had in terms of how it came up
with the response that it gave you.
So it sort of lets you inside its brain. Super cool.
Now this level of reasoning means we can have agents now,
they take on much more sophisticated goals
that when we could even do a week ago.
That's how fast this stuff is moving.
So the lesson here is that when things are moving this fast,
we shouldn't go to where the AI is.
We should go to where AI is going, hat tip to Wayne Gretzky.
And we're going to be in a very different place three
months, six months, 12 months from now.
Okay? So we have a variety of great models.
They're also becoming increasingly multimodal.
So we've moved beyond text to the models supporting images,
audio and video too.
This means the models can take image as input,
not just the prompts that we give it.
This is like we're giving these AI models the
sense of sight.
That's like when you're teenager can first start seeing
the clothes on their bedroom floor.
It's amazing when it happens. It's amazing.
So this is what AI models used
to see when you sent them to a webpage.
This is the webpage for School of Rock,
longstanding HubSpot customer.
And I'm the parent of a recent customer
of School of Rock.
So this is what the models used to see
and this is what the models can see today.
They see the same webpage as we do.
So quick recap of the debriefing.
Models are getting bigger and better.
We have different models for a diversity of tasks.
And AI models now have multimodal support.
This makes it possible for the first time,
to create AI agents
that can take on a wide variety of assignments.
But agents can seem a bit mysterious and complicated.
So let's try to demystify them.
Let's raise your A-IQ now,
agent IQ speaking IQ,
I read somewhere that talking to yourself is a sign
of intelligence.
I've said that to myself hundreds of times.
Now, first of all, you might be wondering like
what is an AI agent anyway?
And there are a lot of definitions out there.
The one I prefer is the one Yamini shared.
An AI agent is software that uses AI
and tools to accomplish a goal that requires multiple steps.
That's it. Yes, some agents can have be able
to run autonomously,
some have executive planning capabilities,
but those are niceties, not necessities to be an AI agent.
And there are a range of agents in terms
of the complexity of the goals.
They can take on. Everything from complex goals like the four
agents that Andy just demonstrated, all the way down
to very simple goals.
The thing I want you to remember is that an agent's
and agent, no matter how small
now, whether big or small,
all agents share some things in common.
An agent uses one or more AI models.
If it doesn't use AI, you can't officially call it an agent,
then it's just sparkling automation software.
Thank you. Yeah, bye. Next,
an AI agent has the ability to use tools
so it can access things like the HubSpot Smart CRM
and take action on your behalf.
And finally, agents have a memory.
They can remember things across tasks.
Otherwise it's like me walking up to the refrigerator,
opening it and then forgetting
why I opened the refrigerator.
Alright, so let's dig in
and talk about what's in development.
I'm gonna share with you what I've been cooking on
late at night, two o'clock in the morning every night.
My wife can attest to this. And by cooking I mean coding.
I can't actually cook, not in a literal sense.
And I also don't stand at my standing desk,
which doesn't sit well with my personal trainer.
I actually don't have a personal trainer.
I used GPT. By the way,
it suggested that I maybe do like lunges
and I think that would be a big step forward.
And so having the honor of being up on stage at INBOUND
and sharing the stuff I've been working on is the favorite
time of my whole year.
And I've probably spent 1500 hours working on the next 15
minutes that I'm about to show you.
And before I do that,
before we dig in, a quick disclosure and warning.
The upcoming segment is rated X,
X for experimental.
Everything Andy showed you are part of real products
that we sell at HubSpot.
Products you should buy.
By the way, if sales team is hiring, I'm,
that's my sales pitch right there.
What I'm about to show you is an experiment.
Viewer discretion is advised.
And the product I've been staying up late every night
working on for many moons this year is agent.ai.
Thank you. Agent.AI
is the number one professional network for AI agents.
It's also the only professional network
for AI agents.
Now at this point, some
of you might be thinking, wait, what?
Why do agents need their own
professional network?
Reasonable question. 'cause I predict
that in the future our teams are going to be hybrid.
They, they'll consist of humans like you
and AI agents like me.
Just, just kidding. I'm not an AI agent yet here on stage,
that likely won't happen until far into future.
Like INBOUND 25. By the way, inspired
by Andy's references to back the future,
I was going to tell you guys a joke about time
travel, but you didn't like it.
So here's the homepage for agent.ai.
We see a listing for some of the agents on the network
and every agent has a profile.
So we can click into the profile, we can follow that agent,
we can hire that agent and start using it.
It's free. And we have,
and we can add the agent to our team.
And we have a bunch of agents around marketing, sales,
customer service, operations,
and a new agent's being added every week.
So I invite you to check it out.
You can sign up for free, get a
hundred credits, it's awesome.
So it's time to meet some of these agents.
Now we're gonna look at agents that help us with marketing,
selling and how to delight customers.
Now the number one challenge
for marketers today is generating traffic
and qualified leads.
I'm not making that up.
One of the most clueful people I know in our industry said this
circa 43 minutes ago.
So it's even more important that we take the website traffic
that we have coming right now, those website visitors
and convert them to leads at the highest rate possible.
And the way to do that is with conversion rate optimization.
Now, here's the website for School
of Rock that we saw earlier.
It's a great website.
Is there anything that can be tweaked or improved?
Yes, always.
But is it a pain in the butt to figure out what to change?
Yes, always.
'cause you have to review the copy,
you've gotta check the CTA,
you've gotta tweak the headlines, review the testimonials.
There's just so much to do.
And conversion rate optimization is a very
specialized skill.
Thankfully, we've reduced this down to a few easy clicks.
Here's the conversion rate optimizer agent.
It's super easy to get started.
All you do is you type in the web link
for a webpage, any public webpage.
It can be your homepage, it can be a landing page,
it can be your pricing page.
And the agent goes through and looks at that entire webpage
and it has decades of domain expertise
and conversion rate optimization
and will come up with a list of suggestions.
It's like you're saying something this way on the webpage,
I'll bet you you'll get higher conversions if you change it
to this, or you're missing a call to action,
or maybe you should add imagery.
It comes up with really, really good suggestions.
I encourage you to try it. So it's, it's a simple agent,
but it's a profitable one.
I encourage you to check it out. Now, Yamini also mentioned
how the average sales rep spends only two hours a day
with customers and a large part
of their time is spent in prep,
and a large part of their prep time is spent
researching companies.
Now, the reason this takes so much time is you have to go
to Google, you go to the company's website, you go
to Crunchbase and look up their funding.
You go to YouTube, go to the social media channel, you go
to Glassdoor, you're jumping all over the internet on this
adventure hunt with all this unstructured data.
We built a company research agent that picks up all
of those pieces all over the internet
and puts it together for you with just a few easy clicks.
Let's look at how easy this is.
We start by entering the website's domain.
I'm going to enter openai.com, my favorite AI company,
and we get a beautiful multi-page report
broken out into sections.
So we can click on any of these sections.
So let's say we click on founders to see
who the founders of the company are.
We can click on the new section
and see if there's anything new
that's been published about the company.
We can click on their web traffic information
or their organic keywords.
A bunch of different sections,
brings it all together in one place.
But the coolest part is this research question section.
You can type in any question you want.
It's like, let's say you're selling payment software
and you wanna know whether this company sells a
subscription product.
The agent will crawl the company's entire website,
crawl the internet, and come up with an answer for you.
And it says, yes, OpenAI sells a subscription product.
But what's really cool is you can add
that question to the agent.
So every future report
that you run will automatically answer all
your custom questions.
So let's say yes, OpenAI is a good fit with a single click.
We can add this company to the HubSpot Smart CRM,
and we can see that company record
and can do all the things you can do
inside HubSpot's smart CRM.
And finally, let's say we're interested in this company,
we can click the track button
and type in English what we want to track.
It's like, okay, if they launch a new product,
if they raise a new round of funding,
if there's an exec change, describe it in English,
whatever is you're interested in tracking
and now this agent works on your behalf,
and will track all of those things automatically for you
and notify you if something interesting to you happens.
So that's the company research agent, by far
the most popular agent on the network right now.
Thank you. Yep.
Now what if I told you agents can
use other agents?
I'm telling you, agents can use other agents.
We can use existing agents as building blocks
for building new, more powerful agents.
It's like agent composition.
I haven't had this much fun since I played with Lego.
So this weekend, basically. Okay,
so let's say I'm a customer success manager
and Canva is one of my accounts.
Love Canva, by the way. Shout out to Canva folks.
Yeah, I know. Wonderful company.
So now as a customer success manager,
before hopping on a call, I'd like
to kinda update myself what's been going on
with this company, both within the HubSpot Smart CRM,
but then all over the web, news, funding.
Now, this sounds familiar, a lot of that work,
the company research agent already does.
So we built a simple agent that takes all
of this information and reduces all that work in terms
of creating an executive briefing into a few easy clicks.
Let's see how easy this is.
So here's the executive briefing agent.
It knows which company I'm going, which one's assigned
to me, and it will come
and it will say, okay, I'm gonna look at the CRM,
I'm gonna look at the last calls.
Any issues, I'm gonna go look at the customer research agent
and I'm gonna pull it all together into a very brief
executive briefing
and I'm gonna convert it to an audio file
so you can just kinda listen to it on the commute
to work if you want to. Right,
just pulling all that information together
and giving it in the form that you want.
Alright, so given the agents that Andy has demonstrated,
given the agents I just showed you
and the two dozen other agents on the agent.ai network
already, and more coming every week,
I could make the prediction that most
of you will be using agents this year,
and that's an easy prediction to make.
So I'm going to make that prediction.
Most of you will be using agents this year,
but I'm not going to stop there.
I predict that many
of you will be building agents this year
and not just the introverted developers like me.
Anyone can build an AI agent.
You can build an agent, you can build an agent.
You can build an agent. Yes.
By the way, if you know,
I could have my like Steve Balmer chant right now,
it's like agent builder, agent builder, agent builder.
But I do not have the dancing skills of my friend Brian.
So we'll just enjoy him for a few seconds.
This is him on the inbound stage years ago. Hi Brian.
By the way, thankfully Brian does not drive a hard bargain
in terms of using his image in my presentations,
which is I'm grateful for.
So announcing Agent Builder,
which lets you build agents.
Why should I have all the fun? So let me show
you how easy it is.
So here's the agent builder for the agent I just showed you,
the customer briefing agent.
So it goes through five steps.
It says, okay, go talk to the HubSpot CRM
and figure out which account has been assigned to me.
Now go to the research agent,
collect all of that information.
Now go pass all of that context
to a large language model, generate an executive briefing,
and then generate the audio file so I can listen
to it on my iPod or my music player.
And that's it. It's drag and drop.
So I'll give you a sense of, if we click on the plus button,
there are other actions we could add.
Let's say we wanted to add another step to this,
and we have access to all sorts of data
inside the HubSpot CRM.
We can build UI, we can do all sorts of things.
It's awesome. So the coolest part about Agent Builder, it has
access to all the frontier models.
So it has access to GPT to Claude, it has access
to all the image generation models.
Dall-E 3, Flux.1, Ideogram, Playground, name it.
It has access to all the HubSpots.
CRM has access to people to create blog posts,
create webpage, has Google, has YouTube,
Twitter, everything.
You can mix it all up and build an agent with drag
and drop in the same way you build workflows in a marketing
automation product like HubSpot.
Alright, I'm gonna take a breath.
This is a cue for me to breathe
so I don't pass out on stage.
Thank you. You're welcome
to join in and and, and take a breath.
This is not a moment of Zen.
We have work to do, so we're alright.
So that's agent.ai, the number one professional network
for AI agents.
Also the only professional network for AI agents.
Now, normally for Labs projects like this,
if I get a few hundred users
before the launch date, I'm happy.
That gives me feedback, gives me signal.
If I get a few thousand users
before launch date, I'm like, this kid's got potential,
this one's gonna grow up and be something special.
And I am thrilled
to announce agent.ai already has
47,000 users.
They grow up so quickly.
This makes it the second most successful innovation project
we've done at HubSpot.
The first one being HubSpot CRM.
Alright? And what's equally exciting is we have 1700 people
signed up for the wait list for the agent builder,
and I'm approving people literally every night.
So I'll be doing that in the hotel room later tonight.
So sign up, it's fun.
Alright, and remember, you don't have to be a coder
to be an agent builder.
You just have to be curious.
All it takes is a few easy clicks.
So we started by building a UI, a user interface.
This part of it is probably a little geekier than it needs
to be for a mainstream audience.
I'm a little geekier than I should
be for a mainstream audience.
It'll be okay. This will be quick.
Then we layer it on with an
application programming interface.
This allows applications to be able to talk
to talk to HubSpot.
The next evolution of this is what I call the AUI.
That's the agent user interface.
And the reason this is important is this is what you need
for agents to be able to talk to each other
and be able to collaborate.
And the cool thing about Agent Builder is every agent
that's built on Agent Builder automatically has an A UI.
Now this may not make sense to some of you.
That's okay, but your developers are gonna love it.
I promise. A movie reference,
that's a really subtle one, but we'll let it go.
Okay, so now some of you're wondering
why is a customer platform company like HubSpot building
an agent network?
It's my belief that the next generation customer platform
needs to have three things.
It needs a smart CRM that has unified store
of structured and unstructured data.
Yamini talked about this and that
foundational AI has to be built into the core CRM.
The batteries have to be included, right?
Otherwise it's not a smart CRM.
It needs smart engagement apps.
You saw Andy talk about this,
where we're infusing AI into all the
engagement apps at HubSpot.
And finally, you need an agent ecosystem,
just like we have an app ecosystem, now shout out
to all the app partners that are out there.
Thank you. Alright, so at HubSpot we like
to dream big and iterate small.
And our dream has always been to help millions
of organizations grow better.
We do this by demystifying, democratizing,
and delivering on the potential of new technology.
If you're a Fortune 1000 company with a fortune
to spend on AI, there are lots
of good options out there for you.
But for those of you that just want to get growing with AI,
HubSpot's here for you, our focus is not just
to make it exceptionally easy to use agents,
but exceptionally easy to build agents and share agents
and distribute agents.
That's the idea. Now, since our founding 18 years ago,
we've been inspired a lot by Apple.
Apple changed the world years ago with the introduction
of the iPhone,
but what was equally impactful was the launch
of the app store.
Their vision was embodied in the
phrase, there's an app for that.
Our vision for the future is: there's an agent for that.
For every marketing, sales,
customer service use case imaginable,
including use cases we can't imagine yet.
There will be an agent for that.
Agents are the new apps,
and we expect someday for there
to be thousands of agents available.
We want a thousand agents to bloom.
Only a small fraction of them will be written
and built by HubSpot.
Most of them will be built by our partners, by all
of you, the community.
So we see a world where agents
and humans that hire them are connected on a network
and can collaborate in this vibrant marketplace.
Now, if we think of agents as tools,
we will get wonderful tools,
but we should skate to where the puck is going.
If we think of agents as future digital teammates,
we will get wondrous
transformation for our businesses.
Now, it's natural for this to cause some anxiety
because it's not natural to think of a world
where agents are members of our team.
Deep down inside, we may be worried
that AI will replace us as humans.
As a human myself, I will humbly submit
that AI does not reduce your value.
It raises it. Even though I use AI every day
to help me code, help me develop presentations,
help me write dad jokes.
I think I'm no less valuable.
Now I'm more valuable with AI.
And the same is true for all of you
because humans are more than the sum
of the tasks that they do.
There is an inexplicable magic in us
made from the experiences we've had.
AI may be faster than us.
AI may be smarter than us,
but it can't be more human than us.
Can't be because it had. It has not had human experiences.
Like the thrill of starting something new with a friend,
with thank you.
Or the profound joy of sparking someone new
with the love of your life.
Thank you. Or the deep,
deep gratitude one feels towards a new friend
that is helping continue the dream and vision.
AI will not have those feelings
because AI cannot have those human experiences.
It can read books, it can inhale the entirety
of the internet, but that's not the same
as having those human experiences.
Having said that,
although AI has its limits, it's not going
to replace us as humans.
AI agents can be wonderfully helpful.
So we should let agents automate the mundane
and amplify the magic.
The magic that makes you, you.
It is always an honor to be here.
Thank you so much for coming out to INBOUND.
Thank you for all the support.
On behalf of Yemeni, Andy
and the global team of 8,000 plus HubSpoters, I appreciate.
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