In this article, we explore strategies to drive AI adoption in sales and marketing teams, addressing cultural resistance, building trust in AI tools, and highlighting the vital role of leadership in ensuring a successful transition.
As the Chief Strategy Officer of Huble, I’ve had the privilege of seeing firsthand how artificial intelligence (AI) has transformed industries, particularly in sales and marketing.
However, one thing that has become abundantly clear is that AI’s potential is only as powerful as the willingness of teams to embrace and adapt to it. This is where things often get tricky.
In the boardrooms, during strategic discussions, and on the front lines with sales and marketing teams of mid-sized to larger companies, we see an ongoing struggle to fully adopt AI. It’s not due to lack of knowledge or interest. The awareness is there. The problem is deeper: it’s about mindset, trust, and the fear of change.
Let’s be clear - adoption isn’t just about adding new tools or updating software. It often requires us to challenge existing processes and optimise them for the new technology. This isn’t just a tech rollout; it’s about continuous improvement.
At Huble, we work on this every day. We know that without refining processes and securing team buy-in, even the best tools—whether AI, CRM, or others—will fail to reach their full potential. Success comes from ensuring the technology is seamlessly integrated into the way teams already work, enhancing and optimising operations.
The reluctance to trust AI
One of the biggest hurdles we’ve noticed is the reluctance of teams—particularly sales and marketing teams—to trust AI with tasks they’ve traditionally controlled.
Salespeople, in particular, are often fiercely protective of their processes. After all, they’ve been trained to build relationships, foster trust, and close deals based on human intuition and experience. It’s understandable that a data-driven algorithm telling them how to prioritise leads or what content to send at what stage of the funnel can feel like a threat, rather than a tool.
Marketing teams aren’t immune to this either. Creative strategies and campaign development, often seen as the heart of marketing, can feel incompatible with the "cold logic" of AI. The resistance we see is not always vocal but manifests in how slowly these teams adopt AI-powered tools, despite their clear benefits in enhancing targeting, personalising outreach, and optimising campaign performance.
The human element: why AI adoption is a cultural shift
From our experience at Huble, both internally and with our clients, the companies that are winning the AI game are the ones that have made AI adoption not just a tech initiative but a cultural one. You can’t just throw AI at your teams and expect them to run with it. It requires a shift in mindset and habits. This is why we emphasize managing adoption as a critical success factor in AI integration.
One practical example comes from a recent client engagement where we rolled out an AI-powered CRM system for a mid-sized company.
We had the technology in place, but initial usage reports showed us that the sales team wasn’t fully leveraging it. They were inputting data as required, but they weren’t optimising their efficiency or using AI’s insights to adjust their sales strategies and maximise their output. It became clear that they didn’t trust the technology to enhance their process. The solution wasn’t more training on the tool itself; it was about helping the team understand that AI wasn’t replacing their expertise—it was augmenting it.
We’ve learned to work closely with teams to create that "aha" moment when they realise AI isn’t here to replace them—it’s here to make them better at what they do. This holds true in our own internal adoption journey at Huble, where our teams have had to adjust and trust the power of AI to streamline tasks and optimise performance.
The leadership role: why managing adoption is critical
Leaders in mid- to large-sized companies often assume that once the AI tech is implemented, the teams will naturally follow suit. This couldn’t be further from the truth. Adoption is a journey, not a switch. And here’s the crux: leadership plays a huge role in how this journey unfolds.
It’s not enough to say "AI is the future" and expect change. Leaders must foster an environment where teams are encouraged to explore AI’s capabilities, where learning from mistakes isn’t penalised, and where success is measured not just by how efficiently AI is integrated but by how much it empowers the people using it.
I can’t emphasize enough how important it is for leadership to be transparent and supportive during this transition. The teams who are afraid of losing their roles to AI need to understand that their jobs are evolving, not disappearing. For every piece of manual labor AI takes off their plate, a new opportunity emerges for them to focus on higher-value tasks—ones that machines simply can’t do.
The road ahead: embrace the messiness of change
At Huble, we’ve seen firsthand that the path to AI adoption is anything but smooth. It’s messy, it’s uncomfortable, and sometimes, it feels like two steps forward, one step back. But we also know that the companies who push through the discomfort, who invest in the cultural change as much as the technology, are the ones who will come out on top.
AI is here to stay, and those that adapt will find themselves not just surviving but thriving in this new landscape. The key is to manage adoption with as much thought and care as you manage the technology itself. In the end, the success of AI in any organisation isn’t about the machines, it’s about the people.
I’m curious, how are you managing the AI adoption process in your own organisation? What’s working, what’s not, and what insights have you gained along the way? After all, AI isn’t just about the technology - it’s about how we as leaders help our teams navigate this new terrain.
This article is just the beginning of a series where we’ll dive deeper into the complexities of AI adoption, the human factors behind it, and how organisations can set themselves up for success in the AI-driven future.
