If your team has decided it needs more content than it's currently producing, the next question is how. There are four real paths, and they trade off differently on cost, control, and risk.
Option 1: Hire in-house
The pitch: full control, full context on your product and buyers. The real cost: $1,570–1,890 per post fully loaded once you stack a content manager, writer, and SEO specialist with benefits factored in, plus a 60–90 day recruiting cycle before anyone produces a single piece, plus single-person risk — if your one content hire leaves, production stops.
Where it wins: if content is core enough to your business that you want someone embedded full-time in strategy, not just production — and you have the budget and patience for the ramp.
Option 2: AI writing assistants
The pitch: everyone on the team drafts faster. The real cost: assistants make individuals faster at the task in front of them, but they don't create a system. There's no topic queue tied to demand data, no consistent editorial gate, no publishing cadence, no attribution back to CRM outcomes. You end up with faster drafts and the same production bottleneck, because the bottleneck was never typing speed — it was process.
Where it wins: genuinely useful as a tool inside an existing process. Not a substitute for having one.
Option 3: Volume AI content shops
The pitch: cheap, fast, high output. The real cost: no human editorial gate on most volume shops means no compliance story for regulated industries, and real algorithm-update exposure — search engines have gotten measurably better at identifying and demoting unedited AI content. Buyers who've been burned by a volume-first vendor tend to select hard against it on the next purchase, which is increasingly most buyers.
Where it wins: genuinely low-stakes, high-volume use cases where quality bar and compliance exposure are both low. Rare in B2B.
Option 4: An AI content engine with a human gate
The pitch: AI-assisted production at a fraction of in-house cost, with every piece reviewed by a human before it goes live — and, for regulated industries, a compliance rulebook screen and named-approver audit trail on top of that. The real cost: roughly $500/post (Standard) or $812/post (Regulated) — a 64% and 48% reduction against the fully-loaded in-house number — because AI drafting runs at $1–4 per post (dropping toward $0.25–1 with batch processing) while the meaningful cost, human editorial judgment, is spent reviewing rather than generating from a blank page.
Where it wins: the case for most B2B teams with long consideration cycles: enough volume to matter, enough compliance/brand risk that a pure-AI shop is off the table, and not enough budget or appetite to build and manage a full in-house content function.
The actual decision
The choice isn't really "AI or human." Every credible option above still needs human judgment somewhere — the question is where you spend it. In-house spends it everywhere, at full cost. Volume shops spend it nowhere, at full risk. Assistants spend it exactly where it already was, just faster. A content engine spends it exactly where it matters — the editorial gate — and lets AI absorb the rest.