Channel executives expect sales hurdles — not the technology itself — to be the biggest brake on AI adoption heading into 2026, according to solution provider leaders polled by CRN. That framing matters for revenue teams: if the bottleneck sits in how sellers position, price and support AI offerings, the fix lands on sales leadership's desk, not the vendor roadmap.

The reporting draws on CRN's annual channel-executive feature, "These Are The Biggest Sales Hurdles To AI Adoption In 2026: Solution Provider Execs." CRN did not publish a sample size or formal methodology alongside the executives' comments, so the findings should be read as practitioner testimony rather than measured market data. That distinction is worth holding onto, because vendor-adjacent surveys routinely report AI adoption optimism that practitioner accounts complicate.

What are the hurdles, according to the executives?

CRN's piece gathers first-person accounts from solution provider executives rather than a ranked list or percentage breakdown. The sales-side obstacles they describe cluster around the practical mechanics of selling AI:

• Convincing customers that AI projects will return value, when outcomes are harder to guarantee than in traditional IT deals
• Reshaping sales motions — pricing, proof-of-value cycles, scoping — around AI offerings rather than established product lines
• Meeting customer expectations shaped by heavy AI marketing, which can outrun what current deployments actually deliver

Each of these is a deal-stage problem as much as a market problem: proof-of-value friction bites hardest in mid-funnel evaluation, and expectation management is a discovery-and-close issue. No figures quantifying revenue impact, win-rate change or cycle-time effects appear in the coverage, and executives' claims about 2026 conditions are necessarily projections, not measurements.

What is measured versus asserted?

Almost everything here is asserted. The executives speak from their own books of business, and CRN attributes the views to named solution provider leadership in its year-ahead channel series. What is absent is equally telling: no adoption-rate statistics, no dollar estimates of stalled pipeline, no breakdown by customer segment or team size. Readers weighing whether these hurdles apply to their own organizations should ask whether their sellers face the same proof-of-value drag — and whether their cycles have actually lengthened, a claim the executives imply but the coverage does not quantify.

The skeptic's caveat writes itself. Executives who sell AI services have an interest in framing 2026 friction as surmountable sales-workflow change rather than demand weakness. The absence of numbers in the reporting makes it harder to separate the two.

Why does the channel view matter for sales teams?

Solution providers sit between AI vendors and end customers, so their read on friction reflects what actual deals look like at the negotiating table. If they report that the hard part of 2026 is selling — demonstrating ROI, resetting inflated expectations, repricing services — then enablement budgets, compensation design and pipeline reviews should follow: coaching for value-based conversations, discovery scripts that surface realistic use cases, and qualification criteria that filter out AI-curious but AI-unready buyers.

None of that is prescribed in the source; it is the operational implication of where the executives locate the problem.

What comes next?

CRN's executive series will presumably track whether these anticipated 2026 hurdles materialize as measured deal friction or fade as sales teams adapt — and whether any follow-up reporting attaches numbers to what, for now, remains practitioner judgment.