HubSpot made some significant AI announcements at UNBOUND 2026, but one message from the opening keynote stood out to me as a HubSpot consultant: AI is only as useful as the information it has about your business.
We hear a lot about AI agents, automation, and new tools that promise to make our work easier. But what happens when those tools don’t understand your products, your customers, your sales process, or even how your team operates?
That’s the problem HubSpot is trying to solve with what it calls Growth Context.
And I think it’s an important development for businesses using HubSpot.
The problem isn’t that businesses aren’t using AI
During the keynote, HubSpot CEO Yamini Rangan shared findings from a survey of 6,000 customers and prospects across multiple industries.
According to HubSpot’s research, 90% of the companies surveyed are using AI, but only 6% are seeing transformational results.
Those companies reporting transformational results were also four times more likely to reach their revenue targets and three times more likely to reach their efficiency targets.
These are findings from HubSpot’s own research, but the distinction is interesting.
Simply using AI isn’t the same as getting meaningful results from it.
HubSpot also found that companies reporting transformational results were focusing on fewer AI use cases and executing them well.
The higher-impact applications included analyzing marketing campaigns, prioritizing sales pipelines, and analyzing customer feedback.
What do these activities have in common?
They require accurate information about your business.
What is HubSpot Growth Context?
Growth Context is HubSpot’s approach to bringing together the information AI needs to understand how a particular business operates.
It includes three important layers.
Business context includes your company’s positioning, products, brand voice, and what makes your business different.
Customer context includes customer conversations, ideal customer profiles, buying signals, and the history of relationships with your business.
Team context includes employee roles, processes, goals, approval requirements, and how work gets done.
Think about onboarding a new salesperson.
You wouldn’t simply hand them a database of contacts and expect them to understand your business. You would explain your products, your customers, your sales methodology, and how your team works.
AI needs that same information.
Without it, even a sophisticated AI tool can produce recommendations that aren’t appropriate for your business.
Introducing HubSpot’s Context Home
HubSpot also introduced Context Home, a centralized place to manage Growth Context.
According to the keynote demonstration, Context Home will help businesses:
- Assess how complete their business context is.
- Identify missing information.
- Review suggested updates based on new customer interactions and meeting transcripts.
- Manage which information is included in their context.
- Understand how that information is used by AI.
One aspect I particularly like is that HubSpot emphasized user control.
As new information becomes available, the system can recommend updates, but users decide what belongs in their business context.
That’s important because information changes. Products are discontinued, employees change roles, and sales processes evolve.
AI needs to work with current information.
Why CRM data quality matters more than ever
I’ve worked with HubSpot since 2014, and a significant part of my consulting work involves helping businesses organize their CRM data, build workflows, establish processes, and connect information across systems.
That work becomes even more important as AI takes on additional responsibilities.
Imagine asking an AI agent to identify your most promising sales opportunities.
If your deals have outdated stages, missing associations, and inconsistent revenue information, the agent may produce an analysis that looks convincing but is based on unreliable data.
Or imagine an AI customer service agent recommending a product that your company no longer sells.
These aren’t simply AI problems. They’re information-management problems.
In fact, HubSpot’s research suggested that AI operating with poor context can produce worse results than operating without AI.
That’s a powerful reason to pay attention to your CRM foundation before introducing more automation.
What I would recommend businesses do now
You don’t need to implement every new AI feature immediately.
I would start by reviewing the information you already have in HubSpot.
Are your customer records accurate? Are your products and services represented correctly? Are your sales processes documented? Do your marketing, sales, and customer service teams share the same definitions and information?
Then identify one meaningful business problem that AI could help solve.
Perhaps your sales team needs help identifying stalled deals. Maybe your marketing team wants to understand which campaigns are generating qualified opportunities. Or perhaps your customer service team needs a better way to identify recurring issues.
Start with the outcome, make sure the necessary information is available, and then determine which tools make sense.
My takeaway from the UNBOUND 2026 keynote
The new AI features are interesting, but I think HubSpot’s emphasis on context is particularly important.
Businesses don’t necessarily need more AI tools. They need to make better use of the information they already have.
And as HubSpot becomes increasingly capable of analyzing information and taking action, the people responsible for CRM strategy, data management, and business processes will have an important role to play.
If you’re looking for help getting your HubSpot CRM organized and preparing your business to make better use of AI, let’s talk about your goals.