[Debatable] AI exposed GTM headcount as overhead
热度趋势
趋势数据积累中
百分比基于当前可用热度信号，而非评论数或独立用户人数。
人工智能已经将市场推广（GTM）的人力成本暴露为一项开销，尤其是在B2B销售领域。过去，个人经营者需要内容和数据团队，这使得严肃的B2B销售难以企及。现在，像Apollo或FullEnrich这样的工具可以迅速提取联系信息，而Lemlist或Instantly等外联平台则能以极低的成本自动化销售流程。这种技术转变意味着顾问们仍在按照传统模式定价，仿佛庞大的团队仍然是必需的，尽管整个技术堆栈每月只需几百美元，这引发了人们对传统团队定价模式价值的质疑。
If you were doing B2B sales seriously, you needed a content team and a data team just to get to the starting line, and for most solo operators that meant the whole thing was out of reach before you could even start.
For instance, tools like Argil or HeyGen let you record a couple of minutes of yourself once and train a clone that generates video from a script, so the production overhead that used to mean a full content hire is gone.
The data side went the same direction, with tools like Apollo or FullEnrich pulling contact info from a LinkedIn profile in seconds instead of needing a separate data subscription, and the outreach layer was already nearly free before any of this, with things like Lemlist or Instantly running full sequences for a fraction of what a sales hire costs.
The gap that used to exist between what a funded team could do and what a solo operator could run has basically closed, and most agencies are still quoting team-sized rates for work one person with the right stack can turn around, so the ones who built their margins around needing the team are going to feel it.
The consultants I know who've figured this out are all pricing like the old world still exists, because changing that would end with a client asking why they're paying for a team when the whole stack costs a few hundred a month.