The new selling economy.
What changed for buyers, what it means for sellers, and what it takes to win now.
Today's sales orgs were built for an era that's ending.
The buyer already changed. The seller hasn't. A decade ago, the seller held the information — pricing, capabilities, customer stories. Buyers came to a meeting to learn. The job was to inform.
Now buyers arrive having read every G2 review, watched every competitor demo, talked to peers in private Slack groups, asked ChatGPT for the comparison matrix. By the time they take the call, they already know what we sell.
- Researches products and pricing before any call
- Finds real customer feedback in seconds
- Builds and matches their own requirements
- Demos, compares, and shortlists alone
- Qualifies before they'll engage
- Runs the same arduous discovery
- Forces buyers into the rep's process
- Many meetings, many people, before a close
More reps. More tools. Less selling.
The old answer to growth was to add headcount and software. Every year the machine gets heavier — and less of it sells.
Long, costly ramp
Months of payroll before a rep carries quota.
Crowded deals
SDR, AE, SE, ops — many people per opportunity.
Duplicative tools
A dozen systems, and none of them connect.
Turnover & drain
Reps leave; the account knowledge leaves too.
If AI for sellers were working, sales wouldn't still cost this much.
Sources: company filings (GAAP S&M ÷ revenue, latest FY); Salesforce State of Sales; industry ramp & turnover benchmarks, 2025.
Soon there will be winners and losers.
The gap between the two paths compounds every quarter. This is the biggest structural change in B2B selling in three decades.
- Non-selling hours convert to selling time.
- Memory compounds across reps, deals, and quarters.
- Output per rep grows — without growing headcount.
- S&M keeps climbing as a share of revenue.
- Reps stay buried in busywork while buyers pull ahead.
- Knowledge resets with every hire and departure.
Bolting on a foundation model isn't enough.
Even the most sophisticated teams hit the same wall — a raw model isn't a system. Someone still has to build it, secure it, and keep it alive.
Unlimited tokens. Still a stitched-together stack.
Anthropic makes the models — and still had to stitch together 10–12 separate tools to support their own sellers. If the people who built the technology assemble a stack by hand, what does that cost everyone else?
200+ custom skills, and a key-person problem.
Miro built 200+ custom GTM skills — impressive internal engineering. But who owns the token costs, the security, the access? And what happens when the engineers who built it all leave?
What it takes to win.
Four requirements separate the orgs built for the new selling economy from the ones still adding tools and headcount.
Move the ~70% of busywork off the rep and into pipeline and customer conversations.
Knowledge accrues to the org — not to whoever holds the seat this quarter.
It works inside the calendar, email, CRM, and Slack — not as another silo to feed.
Grow output per rep, so go-to-market gets structurally more efficient — not just bigger.
Let reps do only what humans should.
The work doesn't disappear — it's divided correctly. AI takes the busywork. People keep the judgment, the trust, the relationships.
Sell with everything you know.
The new selling economy rewards the teams that move first. Buyers arrive informed — and trust is the most important thing to win. Earning it is uniquely human work: presence, listening, the judgment to know when to push and when to wait.
AnyTeam handles the analytics, holds the memory, makes the long work easy — so reps can show up for the part that's uniquely human. AnyTeam is the team behind every rep.