Across 87 public SaaS names, only Infrastructure, Dev Tools, and Security posted gains as the market buys the AI stack and sells the seat-priced application layer.
SaaS benchmarks. Across 87 public SaaS and platform companies, only Infrastructure and Dev Tools (up 68.5 percent over the past year) and Security (up 17.6 percent over the past year) posted positive returns; the other three sectors are down. Tunguz's read: the market is buying the AI stack and selling the seat-priced application layer, so category, not growth rate, now separates winners from losers. (Source)
Why it matters: The clearest single data point for a CRO's 2026 narrative. If your pricing rides on seats, the market is already discounting you. A strong anchor for a "seat-based pricing is dying" content thread.
AI in GTM. The SaaStr AI 2026 main stage ran end to end on agents: agents in production, carrying quota, writing to systems of record, and reshaping how companies are built. The recap maps how the biggest SaaS operators are deploying agents in the revenue org right now. (Source)
Why it matters: "Agents carrying quota" is no longer a thought experiment, it is a main-stage norm. This is the frame for a CRO to talk about redesigning comp, capacity, and the SDR role around agent labor.
GTM engineering. Clay's 2026 update makes its AI research agents production-ready: Claygent Navigator interacts with web pages like a human, filling forms, clicking filters, and extracting data from gated sites that block scrapers. Multi-step research, conditional enrichment, and outbound drafting now run inside Clay tables without n8n or external orchestration. (Source)
Why it matters: The GTM-engineering stack is collapsing orchestration into one tool. For a CRO this is the "you no longer need an SDR army to run signal-based outbound" proof point, and a build-vs-buy talking point.
GTM strategy. Sam Blond (Monaco CEO, ex-CRO Brex) laid out a repeatable engine for producing a major brand moment every 30 days. His core argument: AI in GTM gives you back time, and the winning move is to reinvest that time into doing more marketing, not less, because great marketing is a sequence. (Source)
Why it matters: A direct counter to the "AI means smaller teams" narrative. The operator take: AI is an output multiplier for demand gen, not just a cost cut. A strong contrarian hook for a personal-brand post.
Sales leadership. The deals dying in your pipeline are usually the ones with an unaddressed objection (pricing pushback, a silent stakeholder, a competing priority) that the rep is avoiding. Beese argues the fastest path to forecast accuracy is naming the hard conversation early instead of hoping it resolves itself.
Why it matters: Forecast hygiene is a CRO's credibility with the board. This is a coachable, repeatable rep behavior, ideal for a short LinkedIn post on why "happy ears" wreck forecasts.
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