Tim Davidson – / tadavidson41
Tas Bober – / tasbober Subscribe for more no-BS breakdowns of the internet’s wildest B2B moments.
Meta is cutting jobs. Grok is locking down image generation. Companies are using AI to spy on… AI. This episode is a sharp, marketer-first look at what these moves actually mean for B2B, SaaS, and AI teams trying to make smart bets (and avoid very expensive mistakes).
Timestamps:
00:00 Meta layoffs, Metaverse losses, and the shift to wearables
09:30 Big Prompt Energy: Grok image generation crackdown and liability shift
13:20 Shadow AI: employees using personal AI and companies monitoring AI usage
16:50 Let’s Noodle: “How did you hear about us?” attribution debate
21:25 Competitive comparison pages and a smarter alternative to cease-and-desist
29:10 Closed / Lost: aggressive outbound sequences that backfire
36:05 Zoom etiquette: how long should you wait on a no-show call?
41:20 FTC vs JustAnswer and what it means for B2B pricing transparency
45:50 Closed / Won: LinkedIn trolling, performative marketers, and internet wins
Episode Breakdown Urgent All Hands
Meta cuts 1,000 Bay Area jobs — the first major tech layoffs there in 2026 Why Meta is reallocating spend from the Metaverse to wearables What a $71B loss teaches B2B leaders about overcommitting to hype cycles Real talk on Meta Ray-Bans, recording culture, and B2B events Grok’s reputation as the “wild west” of image generation Why xAI is paywalling controversial features instead of removing them Liability shifts, paper trails, and what this means for AI platforms going forward Freedom of speech vs. abuse at scale — where the line actually is Employees using personal AI tools at work (and why companies are panicking) Confidential data leakage, compliance risks, and a 50% spike in violations AI agents monitoring non-corporate AI usage — and why that may not fix the problem Is “How did you hear about us?” still useful attribution data? Open text fields vs dropdowns (and why both fall short) Rand Fishkin’s idea to expose bad attribution data When attribution helps — and when it’s just marketing theater Competitive Pages and B2B Ethics
The comparison-page problem: inaccurate, misleading, or lazy Better alternatives to cease-and-desist letters Assuming positive intent — and when that assumption breaks down How AI search results may change competitive behavior A cold outreach sequence that checks every wrong box Why “more touchpoints” doesn’t mean “better marketing” When sales automation turns into self-sabotage If this episode made you rethink AI risk, marketing attribution, or hype cycles — hit subscribe, share it with your team, or drop a comment with your take.
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