At HubSpot’s annual INBOUND conference, held in San Francisco, co-founder and CTO Dharmesh Shah delivered a compelling keynote that explored the transformative potential of artificial intelligence (AI) in our professional lives. His insights not only highlighted the rapid evolution of AI technology but also emphasized the importance of collaboration between humans and machines. This year’s event was a blend of innovation and tradition, featuring new initiatives like the Creators Corner and the Tech Stack Showcase Stage alongside familiar elements such as HubSpot Academy Labs and the ever-popular Braindates.
Shah opened his presentation with a thought-provoking question directed at AI itself: “Is it an exponential opportunity or an existential threat?” The answer he received was simply, “Yes.” This encapsulated the dual nature of AI as both a powerful tool and a source of concern. As AI continues to advance, it raises critical questions about its impact on jobs, creativity, and decision-making processes. Shah acknowledged that while many are skeptical about AI’s merits, it remains one of the most consequential technologies of our time.
One of the central themes of Shah’s address was the idea that rather than viewing AI as competition, we should embrace it as a collaborator. He pointed out that a significant portion of an informal poll conducted among 6,000 respondents interpreted the question of how to compete with AI as a zero-sum game. However, Shah argued that this perspective is unproductive. Instead, he urged attendees to think of AI as a partner in their work. “The goal isn’t to battle the machine. The goal is to build with the machine,” he stated, emphasizing the need for a positive-sum collaboration.
This collaborative mindset is particularly crucial given the exponential growth of AI capabilities compared to the more linear learning curve for users. While AI systems are rapidly becoming more sophisticated, the ability for individuals and organizations to effectively harness these tools is developing at a slower pace. Shah underscored the importance of experimentation and iteration in this context. He encouraged attendees to adopt a mindset of continuous improvement, where they view challenges with AI not as failures but as opportunities for growth.
A key takeaway from Shah’s keynote was the concept of prompt engineering, which he described as essential for maximizing the effectiveness of AI. He outlined three critical pillars for effective AI use: the quality of the model, the quality of the prompt, and the quality of the context provided to the AI.
First, he discussed the importance of selecting a high-quality AI model. With the recent explosion of large language models (LLMs), Shah recommended focusing on top-tier options such as OpenAI’s GPT-5, Claude from Anthropic, or Google Gemini. He advised attendees not to overthink their choice but to select a model that aligns with their needs or that their organization is already utilizing.
Next, Shah addressed the quality of prompts. He noted that many users only tap into a fraction of AI’s potential, often relying on a small set of prompts that have worked in the past. He suggested a strategic approach to prompt usage: dedicating 60% of their time to using proven prompts, 30% to refining those prompts for better results, and 10% to experimenting with new ideas. This method encourages users to explore the full capabilities of AI, fostering a culture of innovation and creativity.
In addition to prompt quality, Shah highlighted the significance of context engineering. This involves providing the AI with relevant background information and instructions that can enhance its responses. By incorporating custom instructions—essentially guiding the AI on how to behave and respond—users can significantly improve the quality of the output. Shah also introduced the Model Context Protocol (MCP), a new framework that allows AI applications to connect seamlessly with various tools and resources, enriching the context available to the AI.
Shah’s pro tip for attendees was straightforward yet impactful: “Every time you sit down at a computer to do something, try it first with AI.” He encouraged individuals to experiment with AI tools before resorting to traditional methods. If a particular application doesn’t yield the desired results initially, he advised users to adopt a long-term perspective, suggesting they revisit the task in three to six months. Given the rapid advancements in AI, what may not work today could be feasible in the near future.
As the conversation shifted towards the future of AI, Shah made a bold prediction: we are not just entering a year of AI agents; we are embarking on a decade of AI agents. He referenced his platform, Agent.ai, which has already attracted over two million users who are actively building and utilizing AI-powered assistants. This growing trend signifies a shift in how individuals and organizations will interact with AI, moving towards more personalized and efficient solutions.
To help organizations integrate AI into their workflows, Shah introduced the TEAM strategy: Triage, Experiment, Automate, and Measure. This framework is designed to transition AI initiatives from individual efforts to collective team practices. By applying the TEAM strategy, organizations can cultivate a culture of collaboration and innovation, ensuring that AI becomes a fundamental part of their operations.
Despite the impressive capabilities of AI, Shah reminded the audience that human emotional intelligence (EQ) remains irreplaceable. He emphasized that the future does not belong solely to artificial intelligence; rather, it belongs to individuals who leverage augmented intelligence. AI is intended to handle repetitive tasks, allowing humans to focus on more meaningful and creative endeavors. “The better AI gets, the more it allows us to be human,” he concluded, reinforcing the idea that technology should enhance our humanity rather than diminish it.
In summary, Dharmesh Shah’s keynote at HubSpot’s INBOUND conference served as a clarion call for embracing AI as a collaborative partner in our professional lives. By focusing on prompt and context engineering, fostering a culture of experimentation, and leveraging AI agents, individuals and organizations can unlock the full potential of this transformative technology. As we navigate the complexities of AI, it is essential to remember that our unique human qualities—creativity, empathy, and emotional intelligence—will always play a vital role in shaping the future of work. The journey ahead is not just about mastering AI; it is about augmenting our intelligence and enhancing our capacity to create, innovate, and connect.