AI-driven platforms to manage 70% of global ad spend by 2028
Gartner forecasts that AI-driven self-service platforms will manage over 70% of global ad spend by 2028, increasing from 50% in 2025. The shift toward automated audience selection and pricing models presents potential challenges for advertisers regarding transparency, measurement, and long-term brand-building objectives.
Key Takeaways
- AI automation in advertising platforms is forecasted to influence 80% of U.S. ad spend within the next four years.
- The move toward 'back-office' AI affects bid management and audience targeting independently of generative creative tools.
- OpenAI recently expanded its self-service reach, with over 1,000 brands using Criteo APIs to launch campaigns on ChatGPT.
- Gartner warns that improved platform economics for providers may not result in lower CPMs or better efficiency for advertisers.
- Early data shows ChatGPT conversational ads yielding click-through rates three times higher than traditional digital formats.
Why It Matters
The transition to AI-managed media buying forces a total decoupling of tactical execution from strategic oversight. As platforms like Amazon and OpenAI use internal algorithms to dictate pricing and placement, streaming advertisers lose the ability to verify if high-level brand awareness goals are actually met. The ecosystem is moving toward a 'black box' model where platform-reported success may mask inefficient spend or poor brand alignment. To maintain accountability, strategists must pivot toward independent, third-party measurement tools rather than relying on native platform dashboards. Watch for a rise in specialized 'AI auditing' services that cross-reference platform data against actual business outcomes.
Additional Context
The acceleration of AI-managed ad spend is evidenced by several major platform launches in early 2026. Per Feedvisor (April 2026), the Amazon Ads Agent tool moved into global rollout, allowing brands to launch and optimize campaigns using natural language prompts. While Amazon reported that 65% of beta users saw delivery improvements, independent analysts noted that the tool prioritizes Amazon’s internal ROAS metrics rather than an advertiser's specific SKU-level profit margins. This illustrates the transparency gap Gartner highlights, as automated bidding shifts control toward the platform's ecosystem health.
Simultaneously, the entry of generative AI into the self-service market has disrupted traditional search and social dominance. Per JollyGoodWeb (July 2026), OpenAI transitioned ChatGPT from a strictly subscription-based model to a full performance marketing channel with its self-serve Ads Manager. By July 2026, the platform added conversion optimization and 'automatic advanced matching' to compete directly with Google. However, early campaign data suggests a relatively fixed 1% click-through rate, indicating that while AI simplifies entry for small-to-medium businesses, it may level the playing field so much that creative differentiation becomes harder to achieve.
Legacy ad tech providers are also pivoting to combat the complexity of fragmented consumer journeys. Criteo expanded its GO platform in March 2026, claiming that its AI 'onboarding agent' can launch full-funnel campaigns across video, social, and display in as few as five clicks. According to Digiday (March 2026), this push aims to capture the long-tail of SMB advertisers who previously lacked the technical resources for cross-channel optimization. As these automated tools become the industry standard, the primary B2B challenge shifts from managing campaign logistics to ensuring that algorithmic decisions do not compromise data governance or long-term brand equity.
Read full article at raconteur.net
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