Leadership in AI Adoption: Closing the Marketing Gap

Leadership in AI Adoption Starts with Mindset

True leadership in AI adoption isn’t measured by how fast tools are deployed, but by how well teams are prepared to use them. At Okta, Chief Marketing Officer Shannon Duffy is proving that the human element remains central—even in an AI-driven era. She calls the current shift the biggest in B2B tech marketing, surpassing both the internet and cloud computing. Her perspective underscores a vital truth: leadership in AI adoption must be rooted in empathy, clarity, and proactive guidance.

"I’ve pretty much done B2B tech marketing my entire career, and people say this, but it is the biggest shift we have seen. Forget about the internet, forget about the cloud. This is fundamentally going to change humanity, the labour force, everything" — Shannon Duffy, Okta

Duffy leads both marketing and communications at Okta, where AI is embedded across identity services for humans and AI agents. Her teams shape the brand narrative through product marketing, demand generation, PR, and events. But instead of defaulting to fear, she champions an optimism-first approach. This mindset is not just motivational—it’s strategic. Without it, AI tools risk becoming underutilized or misused.

The Uneven Reality of AI Training in Marketing Teams

Despite growing access to AI, the AI training gap in marketing remains wide. A 2025 study by the Adaptavist Group found that 20% of women received less than one hour of formal AI training, compared to 10% of men. This gender disparity in AI training reflects a broader pattern in tech: without intentional inclusion, new technologies can deepen existing inequities.

Duffy warns against simply “pushing tools down” without context or support. She calls this approach inauthentic and ineffective.

"Just pushing tools down and being like, ‘Use the tools, don’t worry, it’ll be fine,’ is an inauthentic way to lead through this technology shift" — Shannon Duffy, Okta

Many employees still treat large language models (LLMs) as glorified search engines. They miss the potential for AI to generate personalized content, optimize campaigns, and automate workflows. The gap isn’t just technical—it’s cultural. Closing it requires leadership in AI adoption that prioritizes education, psychological safety, and continuous learning.

Reskilling Over Replacement: A Path Forward

One of the biggest fears in marketing is job displacement. Automation threatens roles focused on repetitive tasks—scheduling, basic content creation, and data formatting. But Duffy argues that some jobs will be replaced, not people. The key is reskilling.

"One of the big things is people thinking that their job’s going to be replaced, and that’s just not the case. Some jobs will be, but what do we replace them with? Marketing is a perfect example; there’s a lot of manual work in marketing. What if we took those people and reskilled them in how to prompt AI to create personalised templates at scale? It’s the same human, but what they’re doing is different." — Shannon Duffy, Okta

At Okta, the focus is on transforming roles, not eliminating them. Employees are trained in prompt engineering, AI content validation, and ethical use. This shift reduces the need for large headcount growth, but it preserves talent. Marketing content created solely by AI often fails due to inauthenticity and hallucinations. Human oversight remains essential.

AI as an Equalizer for Remote and Non-Traditional Talent

The concern that AI will erase entry-level opportunities is real. But Duffy sees a counter-narrative: AI skills can open doors for those without traditional backgrounds. She values candidates who understand how to prompt AI tools—even if they lack formal marketing experience.

This is especially relevant for remote tech upskilling. Free resources and LLMs themselves can teach AI literacy. For those in underserved communities or without access to elite education, this is transformative.

"If you don’t have the resources or the background and cannot go to a traditional university, you can go to the LLMs. They will teach you how to use LLMs, and now you have a marketable skill." — Shannon Duffy, Okta

Universities are slow to adapt. Many still don’t teach how AI impacts future jobs. That puts the onus on individuals—and leaders—to fill the gap. In the United States, where higher education costs remain high, this shift could redefine career pathways in marketing.

Storytelling as Leadership in the AI Era

Duffy’s vision for marketing remains deeply human. She sees marketers as storytellers who turn cold technology into meaningful customer experiences.

"We are the storytellers, we are the pixie dust that makes it magical and helps you understand how technology can go from being something cold and straightforward to something that businesses can use to really drive the relationship with their customers in a meaningful way and make their businesses grow and a day in the life of their employees easier." — Shannon Duffy, Okta

This philosophy shapes her approach to marketing teams AI readiness. AI handles the mechanical. Humans handle the emotional, strategic, and creative. Leadership in AI adoption means guiding teams through this evolution—not just with tools, but with purpose.

Duffy admits she didn’t anticipate the scale of change. "I’m doing what I thought I wanted to do, but what I was not prepared for is leading through this, not just a technology shift, this humanity shift," she says.

Related Opportunities

Sources

Computerweekly.