NZ Media News
Back to latest
Beyond the Buzz: AdTech CEO Urges Practical AI View
A prominent AdTech CEO challenges the current 'AI hype cycle,' asserting that the underlying technologies have been integral to digital advertising for years, simply under different terminology like machine learning. This perspective encourages marketers to focus on tangible applications rather than perceived novelty.
What Happened
- •Perion CEO Tal Jacobson expressed fatigue with the current 'AI hype cycle,' stating that the core technologies are not new.
- •Jacobson highlighted that AdTech companies have utilised similar techniques, previously termed 'machine learning,' for over 15 years to optimise ad spend.
- •The sentiment suggests a need to differentiate between genuine innovation and rebranding of existing capabilities within the artificial intelligence discourse.
- •The article, published on AdExchanger on 17 March 2026, reflects a growing industry call for a more grounded discussion on AI's role.
Why It Matters for NZ Marketers
- •NZ marketers often face budget constraints, making critical evaluation of 'AI solutions' crucial to avoid investing in rebranded existing tech.
- •Local agencies and brands can leverage this perspective to challenge vendors offering 'AI' without clear, differentiated value propositions.
- •It encourages a deeper understanding of underlying technologies rather than superficial adoption based on trending terminology.
- •Helps NZ businesses discern genuine competitive advantage from marketing fluff in the rapidly evolving AdTech landscape.
Strategic Implications
- •Prioritise understanding the practical application and tangible benefits of any 'AI' tool over its marketing label.
- •Evaluate vendor claims rigorously, asking for specific examples of how 'AI' capabilities surpass traditional machine learning or automation.
- •Focus internal upskilling on data science and machine learning fundamentals, not just buzzword-compliant 'AI' courses.
- •Develop a clear strategy for integrating advanced analytics and automation, irrespective of whether it's branded 'AI' or 'ML'.
- •Allocate resources to solutions that demonstrate measurable ROI, rather than those merely riding the hype wave.
Future Trend Signals
- •Increasing industry skepticism towards generic 'AI' claims, leading to a demand for more precise technological descriptions.
- •A shift from broad 'AI' adoption to specific, problem-solving applications of machine learning and advanced analytics.
- •Greater emphasis on the ethical and practical implications of these technologies rather than just their perceived novelty.
- •Consolidation of AdTech solutions that genuinely innovate versus those that merely rebadge existing capabilities.
Sources
Editorial note: This analysis is original, AI-assisted editorial content. All source material is attributed with links. No full articles are reproduced. Short excerpts are used under fair dealing principles.
Related Analysis
More posts sharing similar topics
AI & CommerceMeasurement
Digital Dominance: NZ Ad Spend Shifts Further Online
AI & CommerceMeasurement
Agency Model Under Pressure: Principal Media Reshapes Client-Agency Dynamics
AI & CommerceMeasurement
Trans-Tasman Media Market Softens: Implications for NZ Marketers
AI & CommerceMeasurement
Paramount Consolidates Streaming: BET+ Content Shifts to Paramount+
AI & CommerceMeasurement