Widening Gap Between AI Hype and Reality
The market's perception of Artificial Intelligence (AI) is diverging from the experiences of real businesses. While VCs, media outlets, and influencers tout AI as a replacement for humans and a means to generate token revenue, growing companies are asking more practical questions about how to make their people better with AI, which systems they can trust, and how to measure its return on investment.
HubSpot's Perspective
After three years of building and shipping AI solutions to growing customers, HubSpot has identified six key takeaways that contradict the prevailing AI narrative:
- AI activity is not AI outcomes: The industry has confused motion with progress, focusing on activities like email drafting and research, which are useful but not the ultimate goal.
- Companies winning with AI work backwards from a business problem: They prioritize outcomes over model demos, and their customers see tangible results, such as 25% faster ticket response times and 76% more leads generated.
- AI is necessary, but it's not sufficient: While generating code has become easier, the complexities of running a growing business remain unchanged. Customers still need to manage data, integrate with multiple applications, and have a comprehensive customer view.
- The industry needs to align with customers' goals: Instead of token-maxxing, vendors should prioritize outcome-maxxing, focusing on delivering real value to customers rather than just generating revenue.
- AI should empower people, not replace them: HubSpot rejects the narrative that AI should automate tasks and reduce headcount. They believe AI should make humans more powerful and efficient in their roles.
- Trust is more than a privacy policy: Companies need to demonstrate a complete business posture, including transparency in model choice, cost, reliability, and governance.
HubSpot's Commitment
Growing businesses require AI solutions that are built on a foundation of trust, empowerment, and alignment with their goals. HubSpot is committed to delivering AI that meets these needs, prioritizing customer outcomes over token revenue and recognizing the value of human authenticity in an increasingly AI-driven world.
