The news: Two recent surveys from Duke University and MarTech reveal a common theme regarding technology and AI adoption: Martech underperforms not because of weak tools, but because of weak infrastructure.
Fragmented data, misaligned teams and low readiness are getting in the way of adopting new technology and automation in marketing. Many firms lack the data maturity to analyze and harness it effectively.
AI presents new hurdles: AI adoption is powering 17.2% of marketing efforts, a 100% increase since 2022, per Duke’s CMO Survey. Some of the challenges marketers face in the AI transition include a steep learning curve (34%), difficulty integrating into existing workflows (34%), and team resistance (30%), per Canva.
Zooming in: Aligning with Canva’s findings, 65.7% of marketers cite data integration as their top martech challenge per MarTech’s State of Your Stack report, while CEOs are struggling to measure AI-driven outcomes, indicating a disconnect between tech investments and business value.
Martech can’t scale without structure: Many companies are investing in martech tools before fixing core data issues—architecture, governance, and employee literacy. Success hinges not on the tools, but on building the right organizational skills. Some solutions to consider:
Our take: The real competitive edge isn’t adoption speed, it’s integration depth. Marketers who lead data strategy and coordinate teams will win the future. Failure to integrate will result in marketers ending up with tools they can’t use.
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