Why HubSpot's CEO is ‘Unsure’ how AI will Change Jobs

Yamini Rangan, CEO of HubSpot, says she is unsure what tech jobs will look like in as little as two years.
Speaking on the Silicon Valley Girl podcast, she shared that the growing rate of AI adoption across businesses and industries is causing rapid change in the tech sector, making it challenging to anticipate what will come next.
She explained: “As things evolve every decade, new jobs will emerge. You can’t even plan for a job that will be there 10 years from now, or 20 years from now, or even two years from now.”
A human-led approach to AI acceleration
AI is already changing the way HubSpot operates through the integration of Breeze, its AI interface. The company describes its AI strategy as “Human-Led, AI-Accelerated”.
Featuring a conversational assistant, suite of AI agents and data enrichment capabilities, HubSpot uses AI across teams to clean and maintain data, generate content and build new workflows.
At HubSpot's GROW 2025 conference, Yamini shared that the company’s goal is to achieve 80% AI usage across teams each week, with 50% of content now AI-assisted.
According to Yamini, being proactive with AI adoption is the key to gaining a competitive advantage. She said: “This is like the internet in the 90s. Just because the tech is here doesn’t mean businesses are ready.”
HubSpot shares on its website that the company is thinking about AI as a growth enabler rather than a productivity tool, so has made developing AI fluency in employees a priority, providing dedicated training AI literacy training programmes to help employees understand how the technology can assist in high-value work.
Since implementing this AI-first approach, 84% of employees have revealed in an internal employee experience survey that they feel confident using AI in their day-to-day work, with employees who are comfortable in their use of the technology 1.3 times more likely to say they understand how to grow their careers at HubSpot.
The importance of experimentation in the age of AI
To succeed in an industry with so much change, Yamini says that skills like curiosity and critical thinking are becoming more important than technical proficiency.
When hiring, she says she looks for: “people who are comfortable experimenting – having a hypothesis, proving the hypothesis is right or wrong versus saying there’s a set path”.
This mirrors sentiment from other top performing companies, with research from Deloitte finding that businesses that prioritise the development of soft skills such as emotional intelligence, divergent thinking and agility are more prepared for a rapidly revolving business environment.
The report recommends giving employees the opportunity to learn from failure through experimenting with new technologies, which it says can help build fluency and ensure teams engage with the technology more critically.
Yamini says: “For AI to be effective, you have to be close to the ground. You have to know what parts of the workflow are broken, what parts of the workforce can actually get value from AI.
“My focus is, Don’t just use AI for the sake of AI, use it to solve real problems for customers. Can you ask the right questions? Can you stay curious enough to uncover what truly matters?”


