Don’t Fire the Team Before the AI Shows Up for Work

Forrester just gave every CMO their 2027 plan. Annnnnd it is not flattering (and honestly, my own calendar isn’t looking much better).

In its 2027 B2B go-to-market predictions, released October 21, the firm predicts marketing leaders will eliminate up to 25% of roles. They expect productivity gains. Those gains will fail to meet expectations. Then comes the second act—a plot twist straight out of a budget thriller. Those same leaders must cut program budgets to buy capacity back through rehiring, contractors, or agency support. Or they must accept weaker execution with a smaller team.

Read that twice. The prediction is not that AI replaces a quarter of marketing. It is that a quarter of marketing gets cut on a promise. The bill comes due a few quarters later.

Five days after that release, Microsoft offered voluntary buyouts to roughly 60,000 employees. That is about 27% of its global workforce, according to AP. Coverage tied the move to AI infrastructure spending. Every board member at every PE-backed SaaS company saw that headline. Plenty forwarded it to their CEO with a one-line note (much like Logan Roy forwarding an uninvited reality check). You can guess what the note said.

Here is where we are. The pressure to cut is real. It is arriving in the middle of budget season. The evidence that AI absorbs the work is thin (unlike my patience for half-baked automation trends). The people making the cuts rarely know where the work goes.

Cutting a quarter of your marketing team on an AI promise isn’t a strategy. It’s a loan with a rehire bill attached.

What the data says about “AI will absorb it”

Jabra’s WorkLife 2026 study surveyed more than 6,000 workers across six countries in May. 85% said at least one area of work increased over the past year. Heavy AI users reported the biggest increases. Administrative and coordination work rose for 57% of heavy users. That compares with 38% of everyone else.

That matches what we see inside B2B marketing teams. AI compresses the drafting. It does not compress review, approvals, stakeholder wrangling, legal checks, CRM cleanup, or strategy. The work moves. It does not vanish (if only my inbox were that polite).

Most teams cannot prove where it moved. An Inc. column published October 29 cited a Basis survey of 184 marketing and advertising professionals. 61% use generative or agentic AI daily. Only 6.5% measure return against defined benchmarks. 65% do not measure it or do not know if anyone does.

Put those together. Teams use AI every day. Work is shifting, not shrinking. Almost nobody measures results. Finance is about to make headcount decisions anyway, operating with full Thanos-snap energy.

Two mistakes, one planning cycle

Our clients in HR Tech and SaaS are walking toward one of two traps right now, sometimes both (and believe me, I have tripped into my fair share of marketing pitfalls over the years).

The first trap is cutting people based on unmeasured AI savings. You lose the demand gen manager who knew which segments convert. You lose the content lead who knew what assets sales uses. You lose the ops person who built the lead routing rules. Six months later, you pay someone to rebuild that context.

The second trap is cutting AI tools that work because nobody measured them either. Forrester’s consumer-side predictions say rising AI costs will force marketing leaders to scale back a third of AI initiatives. When finance reviews an invoice with no outcomes attached, the cut lands on whatever is newest or loudest. We covered this dynamic in our breakdown on focused marketing strategy.

Both mistakes share a root cause. Nobody wrote down the baseline numbers before changing the plan.

If nobody measured the baseline, nobody can prove AI saved anything. Measure first, cut second.

What we advise instead

Run the work before you change the org chart. If a role is on the list because “AI can do most of it,” run that workload through your AI stack for one quarter against a baseline. Use metrics finance trusts. Track cost per sales-accepted opportunity, campaign launch cycle time, and content used by sales. Hours saved does not count. Nobody ever finds the saved hours. As we noted in our piece on CMO capacity design, scaling requires systems rather than sheer hustle.

Map the work that moves, not the work that disappears. List what happens after the draft for every role under review. Track review, approval, routing, QA, and stakeholder management. That is where Jabra’s 57% lives. If no one owns post-draft work after a cut, it lands on your senior team. You turn a director into an expensive coordinator.

Separate strategy capacity from production capacity. Forrester’s agency predictions expect brands to insource up to 60% of templated content production. Templated production is what AI handles best. Positioning, prioritization, and judgment require human oversight. Cut production capacity if numbers support it. Protect the people who decide what gets produced. For more on structuring search-ready content, see our article on Answer Engine Optimization.

Price the rehire before you make the cut. Forrester’s prediction includes the rehire. Model it now. If gains come in at half of plan, calculate the cost to buy capacity back through contractors or an agency. Determine which program budget pays for it. If that number is ugly, you have your answer.

The uncomfortable part

We run an agency. “Buy capacity back through agency support” sounds like good news for us (and full disclosure, my inner entrepreneur perked right up). It isn’t. Agencies inheriting gutted teams spend 90 days rebuilding lost context. The CMO loses time. The agency loses margin. Pipeline loses a quarter. It’s not a great strategy…I DON’T LIKE DOING IT (remember the genie from Aladdin?)

CMOs who succeed in 2027 will make AI prove gains before redrawing the org chart. That keeps budget control in marketing’s hands instead of finance’s.

Do this first: Pick the one role on your 2027 cut list that looks most automatable. Run its work through AI for 30 days against a baseline. Bring those numbers to the budget meeting before anyone asks for them.

Connect with Maren Hogan on LinkedIn to discuss B2B marketing strategy and AI integration.