Most B2B CEOs Claiming an 'AI Rebuild' Are Only 40% There

Most B2B CEOs who say they’re “rebuilding for AI” are, in Jason Lemkin’s estimate, only about 40% of the way there — they’ve shipped AI features and maybe an agent or two, but haven’t actually rebuilt their core product, pricing model, sales motion, or organizational structure around it, and their growth rates show it. Using SaaS Capital Index data across 58 public comparables as of June 30, 2026, Lemkin shows the growth distribution has compressed hard: 18 companies growing under 10%, 23 at 10-20%, 11 at 20-30%, and just 6 of 58 above 30%. The 60%+ growth cohort that used to define hot SaaS has, in his words, “effectively disappeared.” Growth band tracks valuation multiple almost mechanically: 5.5x for 20-30% growers, 3.1x for 10-20%, and just 1.9x for sub-10% growers in the same dataset — the market is pricing the rebuild gap directly into every company’s multiple, not treating it as a story for next quarter.

Lemkin’s clearest example of what an actual rebuild looks like is Intercom’s pivot to Fin: the company bet on LLMs back in 2023, renamed itself after its AI support agent in May 2026, and was acquired by Salesforce roughly four weeks later for approximately $3.6 billion. Fin’s AI agent alone is approaching $100M ARR and resolves an average of 76% of support volume end-to-end. Yet even that full rebuild still priced at a “classic” SaaS multiple under 9x — well below AI-native upstarts Sierra ($15B valuation) and Decagon ($4.5B) sitting on far less revenue, which suggests the market still rewards starting AI-native from zero more than successfully rebuilding an existing company around AI.

BCG’s framing of the failure mode as “AI paralysis” — a specific breakdown where teams stall out not from moving too slowly but from lacking the clarity or alignment to act, even with nominal leadership support — maps directly onto Lemkin’s 40%-there number. Feature-shipping isn’t the hard part anymore, for a B2B seller or the company selling to one; committing to rebuild the actual go-to-market motion around AI, all the way through pricing and org structure, is where nearly every company outside the top decile is still stuck.