AI Accelerates Human Potential, Driving Agency Growth and Innovation

The conventional wisdom around AI in agencies is that it’s a tool for cost reduction, a harbinger of layoffs. This conversation with Gilad Bechar, CEO of Moburst, reveals a more complex, and ultimately more valuable, truth: AI is not a replacement for human talent, but an accelerator of human potential. By treating AI as a strategic imperative rather than a side project, agencies can unlock unprecedented levels of innovation, client value, and even growth in hiring. The hidden consequence of this approach isn't fewer employees, but a more capable, more engaged workforce that can tackle bigger problems and seize larger opportunities. Agency leaders who embrace this shift gain a significant competitive advantage by positioning themselves as forward-thinking innovators, attracting both top talent and elite clients willing to pay for cutting-edge solutions.

The VP of AI: A Strategic Imperative, Not a Technical Fix

The immediate, visible impact of AI is often framed as automation--doing more with less. But Gilad Bechar argues that this narrow view misses the strategic leverage AI offers. The critical first step for Moburst wasn't just experimenting with AI tools, but fundamentally restructuring their leadership to prioritize AI adoption. This meant appointing a VP of AI with significant authority, tasked not with incremental improvements, but with ensuring that processes in 2026 would be radically different from those in 2024. This elevated role was crucial for overcoming the inherent resistance to change, especially from seasoned professionals.

"Getting just an AI manager or just a technical AI implementer, that will not do the trick. We need to treat it as an initiative that takes a very big priority and, as part of that, gets very big investment into that."

-- Gilad Bechar

By embedding AI leadership at the VP level, Moburst removed the bottleneck of managers having to "fight" for AI adoption. Instead, it became a mandate, integrated into performance evaluations and strategic planning. This top-down commitment, coupled with AI Champions in every team dedicating 20-30% of their time to AI integration, created a systemic shift. The implication is clear: AI adoption is not a technical problem to be solved by engineers, but a cultural and strategic challenge requiring executive sponsorship and organizational commitment. Without this, AI remains a fragmented experiment, failing to deliver its full transformative potential.

The "More Hiring" Paradox: Unlocking Demand Through Innovation

The pervasive fear that AI will lead to agency layoffs is challenged directly by Bechar’s experience. While the initial goal was to increase billable capacity per employee by 50%--which theoretically could mean reducing headcount--the reality was an explosion in demand. By leveraging AI to automate tedious tasks and enhance client offerings, Moburst didn't just become more efficient; they became more innovative. This innovation unlocked new budgets and attracted larger, more sophisticated clients, including two Fortune 10 companies.

The key insight here is that AI doesn't just optimize existing work; it creates new possibilities. For instance, Moburst was able to win a major client not just for media services, but by demonstrating their expertise in AI-driven discovery platforms like ChatGPT and Perplexity, and how they could improve brand visibility and positioning across these emerging channels. This wasn't a service they were initially asked for, but one that sealed the deal by showcasing their forward-thinking capabilities.

"That's not a cost-cutting story. That's a growth story."

-- Gilad Bechar

This demonstrates a critical downstream effect: enhanced AI capabilities lead to enhanced client perception, which leads to increased demand and larger opportunities. The time freed up by AI allows teams to focus on higher-level thinking, collaboration, and creating novel growth levers for clients. This shifts the agency’s value proposition from execution to innovation, a position that commands higher fees and fosters deeper client relationships. The paradox of AI leading to more hiring is, therefore, a logical consequence of creating more value and demand.

Career Transformation: AI as a Superpower, Not a Threat

The narrative of AI replacing roles, particularly in execution-heavy areas like media buying, is a significant concern for agency professionals. Bechar reframes this by positioning AI as a catalyst for career transformation rather than obsolescence. Instead of resisting the automation of tasks like manual campaign tweaking, Moburst actively encourages employees to reskill into AI-focused roles. A media manager, for example, can evolve into an AI workflow designer or an intelligent systems manager, leveraging their domain expertise in a new, amplified capacity.

This proactive approach to upskilling has profound implications for employee morale, retention, and performance. When employees see AI not as a threat to their job security but as a tool to augment their skills and open new career paths, their engagement increases dramatically. This reframing is crucial for fostering a culture of adoption.

"The fact that you can actually learn new skills, learn new sets of capabilities, and actually transforming from a media manager to an AI manager and then progressing in the AI world opens the opportunities for someone that..."

-- Gilad Bechar

The consequence of this mindset shift is a workforce that is not only more productive but also more adaptable and future-proof. By investing in their people’s transition, agencies can retain valuable institutional knowledge while equipping their teams with the skills needed for the evolving landscape. This creates a durable competitive advantage, as agencies that successfully navigate this talent transformation will be better positioned to innovate and serve clients effectively.

Building a Culture of Sharing and Experimentation

Sustained AI adoption requires more than just leadership buy-in; it necessitates a culture that encourages continuous learning, experimentation, and open sharing. Moburst fosters this through weekly AI champion updates, monthly hackathons focused on eliminating manual processes, and an annual "AI Week" where teams present their innovations. This structured approach ensures that AI knowledge doesn't remain siloed within specific departments.

The act of presenting AI projects, including failures and pivots, builds trust and accelerates cross-team learning. One team's solution can become another team's shortcut, sparking new ideas and applications. For example, a team might develop a system to analyze competitor ad creatives across platforms, a capability that could then inspire the organic team to apply similar analytical principles to media planning or PR strategy.

The implication of this cultural emphasis on sharing is a compounding effect on innovation. When failures are openly discussed, teams learn faster and avoid repeating mistakes. When successes are shared, best practices proliferate. This creates a virtuous cycle where AI adoption becomes a collective endeavor, driving continuous improvement and pushing the boundaries of what the agency can offer. The long-term payoff is an organization that is not just using AI, but is fundamentally built around an AI-driven mindset, capable of adapting and innovating at an unprecedented pace.

• Establish AI Leadership: Appoint a senior leader (VP level or equivalent) with clear authority and mandate to drive AI strategy and adoption across the organization. This is an immediate priority to overcome resistance and ensure strategic alignment.
• Embed AI Champions: Designate individuals within each team to act as AI liaisons, dedicating 20-30% of their time to exploring and implementing AI solutions for their department. This requires a commitment to reallocating time and resources within the next quarter.
• Reframe AI as Career Enhancement: Proactively communicate that AI is intended to augment, not replace, roles. Offer reskilling and training opportunities for employees whose tasks are likely to be automated, focusing on AI-adjacent roles. This is a continuous investment, but initial training programs should be launched within the next six months.
• Foster a Culture of Sharing and Experimentation: Implement regular mechanisms for sharing AI learnings, such as weekly updates, monthly hackathons, and annual AI showcases. This requires establishing a cadence and platform for these activities, ideally starting within the next quarter.
• Integrate AI into Performance Metrics: Include AI adoption and innovation as a key performance indicator for individuals and teams. This signals the strategic importance of AI and incentivizes engagement, a policy to be implemented in the next performance review cycle.
• Develop AI-Powered Client Offerings: Explore opportunities to leverage AI to create new services or enhance existing ones, positioning the agency as an innovator. This is a longer-term play, with potential for new revenue streams to emerge within 12-18 months.
• Embrace the "More Hiring" Outcome: Understand that genuine AI-driven innovation often leads to increased demand and the need for more talent, not less. Plan for strategic hiring to support growth, rather than focusing solely on cost reduction. This requires ongoing strategic workforce planning.