The landscape of media buying and planning is on the brink of transformation. Sir Martin Sorrell, an iconic figure in the advertising world, shared his insights at StreamNext 2025, hosted by Amazon MX Player, where he outlined the critical changes reshaping how media will be bought and planned in the years to come. Here are the key observations from his session:
The Algorithmic Takeover of Media Buying
Sorrell’s most compelling prediction is the imminent rise of algorithmic media buying. He noted that traditional media planning and buying, which currently employs hundreds of thousands globally, is fast becoming a function that will rely primarily on algorithms and automation. This shift is not just inevitable—it’s already happening.
A prime example of this is Meta’s Advantage+, an AI-powered platform that automates the creation of ads, media planning, and buying, which has already seen substantial adoption and generated a run rate of $20 billion. This tool, which is empowering small and medium-sized businesses, exemplifies how artificial intelligence can significantly improve the efficiency and reach of marketing efforts. Sorrell predicts that in the next two to three years, algorithmic media buying will dominate, and many manual jobs in media planning will be replaced by automated processes.
The Fall of Traditional Roles in Media Planning
As AI and machine learning redefine how media is planned and bought, traditional media planner and buyer roles will experience a dramatic shift. Currently, agencies employ a large workforce to manually manage media campaigns, but Sorrell predicts that in the near future, this will no longer be the case.
Instead of relying on media planners to manually oversee campaigns, businesses will leverage algorithms to optimize media buys in real time. The result will be fewer media planners, but those remaining will be tasked with interpreting the outputs of AI, refining strategies, and analyzing data to improve campaign performance.
AI-Driven Personalization at Scale
One of the most exciting aspects of AI’s role in the future of advertising is its ability to deliver hyper-personalized content at scale. With AI, companies can now create millions of unique content assets tailored to individual preferences and behaviors. This level of personalization, once thought to be unachievable, will not only improve customer engagement but also significantly boost campaign performance.
Sorrell shared an example from Amazon, where campaigns could now generate 1.5 million alternative versions of a single asset. With AI, this number is set to increase exponentially, offering advertisers the ability to scale personalization to a level previously impossible. As the cost per asset falls, the volume of assets produced will rise, opening up new opportunities for marketers to engage their audience in highly targeted ways.
The Need for Agility in an Ever-Changing Market
Sorrell also stressed the importance of agility in the fast-moving advertising landscape. As global political and economic shifts continue to disrupt markets, brands must adapt quickly to changing circumstances. Media buying and planning are no longer static, but dynamic processes that require brands to pivot rapidly based on real-time data and insights.
He emphasized that in a world increasingly dominated by volatility, agility is key. The ability to respond to shifts in the market, whether political, economic, or technological, will determine the success of future campaigns. This means moving away from traditional, slow decision-making processes and adopting more flexible and responsive approaches.
Automation’s Impact on Efficiency
Beyond just media buying and planning, Sorrell highlighted how AI and cloud technologies are drastically improving efficiency across the advertising ecosystem. In collaboration with AWS, Adobe, and NVIDIA, S4 Capital has helped revolutionize broadcasting, reducing costs by as much as 80-90% by leveraging AI and cloud technologies.
For example, the once-expensive task of outside broadcasting—which typically required a $10 million investment in trucks and infrastructure—can now be achieved for a fraction of the cost, thanks to these technological advances. This represents just one instance of how AI is driving greater efficiency in the media industry, making it more cost-effective for brands and agencies to deliver high-quality content at scale.
The Democratization of Knowledge
One of Sorrell’s most striking observations concerned the democratization of knowledge within organizations. He pointed to Jensen Wang, CEO of NVIDIA, as a prime example of how AI can flatten organizational structures. By distributing information more broadly within an organization, AI enables teams to work more collaboratively and efficiently, without relying on silos of control.
For the advertising industry, this means that more people within a company can access and act on critical data. Sorrell believes that this will help marketers better understand their audience and make more informed decisions, resulting in more effective campaigns.
AI as the Great Equalizer in Media
AI, in Sorrell’s view, is set to become the great equalizer in the advertising industry. It will break down the traditional barriers of knowledge and expertise, allowing brands and agencies to leverage powerful data-driven tools to create more impactful campaigns. But, Sorrell warns, the key challenge will be how companies manage and control their data. First-party data, which is controlled by the company, will become even more valuable as third-party data becomes increasingly obsolete due to changes in privacy regulations and browser policies.
As advertisers lose access to third-party data, those that control and integrate their own first-party data will have a significant competitive advantage. Companies will need to internalize more data functions and develop in-house capabilities to remain competitive.
Global Advertising Spend & Platform Dominance
Sorrell also shared critical data points on the current global state of advertising, underlining the dominance of digital platforms. Global advertising spend has now reached a staggering $1 trillion annually, with a significant chunk—$700 billion—allocated to digital advertising. Within this digital ecosystem, some platforms are emerging as clear market leaders.
- Alphabet (Google) commands the largest share of global advertising spend, with $250 billion, which accounts for 25% of the total ad spend.
- Meta (Facebook, Instagram) follows with $160 billion, capturing 15% of the market.
- Amazon is rapidly growing, having reached $61 billion, with projections pointing toward a $100 billion ad spend within the next 3-4 years.
- TikTok continues to rise, with $40 billion in ad spend, positioning itself as a strong contender in the digital advertising space.
These platforms are not only driving digital ad growth but also dominating the overall global ad landscape. Sorrell emphasized the growing importance of these players as AI, automation, and data-driven strategies continue to reshape the future of media buying and planning.
In summary, Sir Martin Sorrell’s predictions paint a picture of an advertising industry that is increasingly driven by AI and automation. While this shift will undoubtedly lead to the decline of traditional roles in media buying and planning, it will also create new opportunities for brands to engage with consumers in more personalized and cost-efficient ways. For agencies and marketers, the future will be defined by agility, control over first-party data, and a commitment to embracing the technologies that are transforming the industry.
