When seasoned advertising professionals start using AI to make commercials for neighbourhood bakeries and local plumbers, something significant is happening. This is not a tech demo or a creative experiment. It is a business model shift that will reshape how companies of all sizes approach marketing.
The trend emerged over recent months as creative veterans — people with decades of experience at major agencies — began showcasing AI-generated ads for small businesses that previously could never afford professional creative work. The results are polished, on-brand, and produced in days rather than weeks.
From Novelty to Operational Reality
Generative AI tools for video, image, and copy creation have matured rapidly. What started as experiments with tools like Midjourney and Runway has evolved into repeatable production workflows that rival traditional agency output.
The economics are striking. A small business that might have paid lakhs for a professional video campaign can now get comparable quality for a fraction of the cost. For creative professionals, AI multiplies their capacity — one experienced director can now serve dozens of clients simultaneously.
This is not about replacing human creativity. The value lies in how skilled practitioners use these tools to scale their expertise. The strategic thinking, brand understanding, and storytelling instincts still come from humans. AI handles the labour-intensive production work.
The Agency Disruption No One Wants to Discuss
Traditional creative agencies face an uncomfortable question: if a single creative director with AI tools can match the output of a ten-person team, what happens to the team?
Industry observers note that mid-tier agencies — those serving regional brands and SMBs — face the most immediate pressure. Large agencies serving enterprise clients will likely absorb AI into existing workflows. But agencies billing for volume of creative assets rather than strategic value are vulnerable.
The disruption extends to adtech vendors and production houses. Companies that built businesses around stock footage licensing, template-based video creation, or bulk content production must now compete with tools that generate original assets on demand.
The Governance Gap That Could Burn You
Speed and cost savings come with risks that many organisations are not yet equipped to manage. Brand safety tops the list — generative tools can produce content that subtly deviates from brand guidelines or inadvertently includes problematic elements.
Intellectual property questions remain unresolved. When AI generates an image or video, who owns it? What happens if the output resembles existing copyrighted work? These questions matter more for brands with significant reputation exposure.
Legal teams across industries are scrambling to create policies for generative content. The gap between how fast marketing teams want to move and how fast compliance can adapt creates real business risk.
Build, Buy, or Partner?
CIOs and CTOs evaluating martech investments face a strategic choice. Building in-house generative creative capabilities offers control and long-term cost advantages but requires new skills and governance frameworks.
Partnering with agencies that have integrated AI into their workflows provides expertise without the learning curve. But this means depending on external vendors for a capability that may become core to marketing operations.
The hybrid approach — building internal capacity for high-volume, lower-stakes content while partnering externally for premium campaigns — appears most practical for mid-sized organisations. But this requires clear policies on what gets created where and who reviews what.
What This Means for You
If you lead marketing or technology at a company that creates significant volumes of creative content, start by auditing your current agency and vendor relationships. Ask your partners directly: how are you using generative AI, and what governance do you have in place?
For founders of growing businesses, this trend is good news. Professional-quality creative work is becoming accessible at price points that make sense for earlier-stage companies. The key is finding partners who combine AI efficiency with genuine creative expertise.
Watch the next six months carefully. As more established creative professionals demonstrate what is possible with these tools, the pressure on traditional agency pricing will intensify. The companies that move thoughtfully now — balancing speed with governance — will have an advantage when the market fully adjusts.