For the last two years, AI spend lived in a special bucket. It came out of an innovation fund, a CIO’s discretionary line, a pilot budget nobody scrutinized too closely because everyone knew it was an experiment. That bucket is gone. Sixty five percent of enterprises grew their AI budget again this year, with a median increase north of twenty percent, and it’s no longer sitting off to the side. It’s in the operating budget now, next to the ERP line and the security line, owned by finance and measured like everything else finance owns.
That single shift changes who wins the next phase of AI go to market. When AI was a pilot, a vendor could sell direct, ship a proof of concept, and call it a win. Now that it’s an operating expense with a business owner attached, the buyer wants the thing that made every other enterprise software category mature: someone accountable for the outcome, not just the license.
Why the GSIs are the ones holding that accountability
Most enterprise data isn’t ready for AI. It’s scattered across systems, inconsistently labeled, and full of the kind of quiet inconsistencies that only show up once a model starts relying on it. Cleaning that up, standardizing it, and wiring it into a workflow that a business actually trusts isn’t a weekend project. It’s exactly the kind of multi year, multi million dollar integration work that Accenture, Deloitte, Capgemini, and the rest of the global systems integrator world have built entire practices around for two decades.
That’s the part product vendors consistently underestimate. Your product might be excellent. But if the customer’s data isn’t clean and the workflow isn’t integrated into how the business actually runs, your product is a demo, not a deployment. The GSIs are the ones who get paid to close that gap, and as AI budgets move from experiment to infrastructure, that gap is where the money is.
The channel math
GSI alliances are slow to build. Twelve to twenty four months before a partnership produces meaningful revenue is a realistic timeline, and it takes real investment in joint solutions and co-marketing before any of it pays off. That’s exactly why most vendors underinvest here. It doesn’t fit a quarterly board deck. But it’s also why the vendors who started building GSI practices two years ago are the ones showing up in the RFPs now, embedded inside a transformation program a GSI is already running, instead of competing for attention against a hundred other point solutions.
Put the last few conversations we’ve had together and the picture is consistent. Marketplace gets you into budget that already exists. AI tooling makes your channel partners more capable per rep. GSIs get you into the multi year transformation programs where the real AI dollars are being committed. None of these are competing strategies. They’re three different doors into the same wallet, and the vendors who win are the ones with a plan for all three, not just the one that was easiest to stand up first.
Where I’d focus next
If your GSI strategy right now is a partner page on your website and a logo on a slide, that’s not a strategy, that’s a hope. Pick one or two GSIs where your product maps to a practice they’re already scaling, invest in a joint offer with them, and be patient about the payoff. The vendors who treat GSIs as a real channel, not an afterthought, are the ones who’ll be sitting inside the transformation programs that are about to absorb most of the new AI budget in enterprise accounts.