María Trochimezuk, Founder of Bravo Story, a full-service communications consultancy, and IOScholarships, a platform for diverse STEM talent
AI is finding its way into every industry as businesses use it to automate tasks, enhance productivity and create personalized experiences. According to McKinsey, AI could lead to $4.4 trillion in added productivity growth in the long term. This report also found that “while nearly all companies are investing in AI, only 1% of leaders call their companies ‘mature’ on the deployment spectrum.”
I believe this statistic doesn’t reflect a technology gap—it demonstrates a culture gap. So that raises the question: How can leaders guide their businesses toward AI maturity?
The Importance Of Culture First
You can have the best tools, the most talented engineers and visionary strategies, but if your organizational culture hasn’t evolved, AI initiatives can stall. True transformation doesn’t just mean integrating digital tools—it requires a fundamental mindset shift.
In my experience, a culture rooted in innovation and AI thrives on creativity, experimentation, collaboration and learning from failure. It encourages open dialogue, supports risk-taking and values diverse perspectives. In contrast, a rigid, risk-averse environment can impede progress, no matter how advanced your tech stack.
When I joined an AI Business program, I was challenged to rethink everything I knew about leadership. The program emphasized something profound but straightforward: Much like human learning, AI systems learn from both successful and unsuccessful project outcomes, using feedback to refine performance and correct errors. I realized I was entering a perpetually evolving state of constant learning, and in order to adapt, I would need to completely change my routine, reimagining it to fit a digital-first mindset that is all about data and technology.
If you’re a CEO, founder or community leader looking to build a digital-first team culture, here are five principles that can guide your own transformation:
1. Lead with a bold stroke.
A bold stroke is an action you take within your company that says, “From this day forward, this change is here, and we are not turning back. It’s a commitment.” Within our agency, the major transition was to utilize AI to craft personalized narratives and predict public sentiment so we could create more engaging and results-oriented communications strategies.
2. Use the “heads, hearts and minds” framework.
Change doesn’t happen through technology alone—it happens when people believe in it. Assess how your team feels about transformation. Are they excited? Anxious? Resistant?
Using a heads, hearts, and minds framework, pair your messaging with action: align your incentives with clear goals and strong support systems, such as AI tuition reimbursement programs to promote continuous learning. I have found that when your team understands how they can grow personally, professionally and financially through the incorporation of AI into their workflow, they are more likely to buy into your vision.
3. Leverage cluster change.
Transformation is a team sport, not a solo endeavor. Changes are often more successful when they are implemented in groups—a phenomenon known as the contagion effect. As teams moved forward together, their confidence and creativity can reinforce each other. Be your team’s loudest cheerleader!
4. Invest in training and support.
You can’t expect your team to thrive in a digital world if you don’t equip them with the tools to do so. We invested heavily in data training—not just to boost technical proficiency but also to build a culture of data stewardship. This can help teach your teams to treat clean, integrated and actionable data as their most valuable asset. Training isn’t a box to check—it’s a growth strategy that can boost employee retention, innovation and talent cultivation.
5. Embrace constant exploration.
Finally, AI isn’t a one-time implementation—it’s an ongoing conversation. Your engineers should continually be iterating, experimenting and refining your AI tools.
Final Thoughts
Ultimately, successful AI transformation relies on three pillars: strategy, framework and culture. Strategy involves choosing the correct business problems to solve with machine learning, ensuring the technology delivers real value. The framework is the infrastructure that supports the process of digital transformation. And many have described company culture as the glue that holds a business together. Without the right culture in place, even the most promising AI initiatives can struggle.
As CEOs and leaders, we should lead boldly, listen deeply and foster a team mindset of curiosity, resilience and continuous improvement. When team culture and AI move in sync, the potential for a successful transformation increases sharply.
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