Simple spintax (swapping words like "hi" for "hello") was once a common trick to dodge spam filters. Today's advanced AI and machine learning algorithms easily detect this low-effort pattern. It is no longer a viable standalone method for improving deliverability and should be replaced with genuine personalization.

The massive increase in low-quality, AI-generated prospecting emails has conditioned buyers to ignore all outreach, even legitimate, personalized messages. This volume has eroded the efficiency gains the technology promised, making it harder for everyone to break through.

AI makes it easy to send mass emails, but they often sound robotic. Buyers now recognize and block this "sycophantic crap," making personalized, human-written emails more crucial than ever for standing out and avoiding domain-level blocks.

Medium's CEO argues the true measure of success against spam is not the volume of "AI slop" received, but how little reaches end-users. The fight is won through sophisticated recommendation and filtering algorithms that protect the reader experience, rather than just blocking content at the source.

The proliferation of low-quality, AI-generated content is a structural issue that cannot be solved with better filtering. The ability to generate massive volumes of content with bots will always overwhelm any curation effort, leading to a permanently polluted information ecosystem.

AI is increasingly used to produce low-quality outputs like emails and reports, termed "work slop." While quick to create, this content is often so vague or useless that it makes colleagues' jobs harder, increasing overall administrative burden and hindering real progress.

AI makes it easy to generate grammatically correct but generic outreach. This flood of 'mediocre' communication, rather than 'terrible' spam, makes it harder for genuine, well-researched messages to stand out. Success now requires a level of personalization that generic AI can't fake.

Professionals are using AI to write detailed reports, while their managers use AI to summarize them. This creates a feedback loop where AI generates content for other AIs to consume, with humans acting merely as conduits. This "AI slop" replaces deep thought with inefficient, automated communication.

History shows marketers often ruin new channels (email, SMS) by overwhelming them with low-quality 'spam.' The immediate push to monetize the agent channel could create a similar 'arms race' of spam-bots and anti-spam agents, eroding consumer trust and killing the channel's potential.