We're no longer building the plane while flying it.
We're designing several versions while the destination keeps changing.
Look at what's happening right now.
$407B went into AI in H1 2026, while deal count fell 21.6%. (PitchBook, August 2026)
149,023 tech job cuts were announced through July, while tech still led announced hiring plans. (Challenger, August 2026)
Median AI spend per employee rose from $5 to $12 a month this year. (Goldman Sachs, August 2026)
Three signals from the same market.
1️⃣ Capital is concentrating across fewer winners.
2️⃣ Companies are cutting people and hiring at the same time.
3️⃣ AI spending is growing too, but the companies spending the most are pulling away quickly.
For engineering-led companies, this changes how we think about GTM.
Building something technically impressive isn't enough.
Customers must adopt and renew.
They have to trust it in a real workflow, understand what it costs, and see value in the changes.
That puts engineering inside the commercial system.
Product decisions affect the economics.
Implementation affects adoption.
Customer behavior tells us what to build next.
This is where double-loop learning matters.
We can improve how we execute.
Or question whether the assumptions behind our GTM system still fit the market we're in.
Execution Beats Theory. Every Time.
👋 Hi, I'm Tim. I help engineering-led startups and mid-market scaleups build adaptive GTM systems, unify revenue, and scale with Agentic AI.
At Entry Point 1, we partner with engineering-led startups and mid-market scaleups that operate intentionally and play to win. We've helped generate $1B+ in revenue across our work.
If you're ready to win, we're ready to help you get there: https://lnkd.in/g864Mt2D
Entry Point 1 | #gtm #ai #agenticai #gtmarchitecture #gotomarket
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