State of AI in Procurement and Proposals: 2026 Adoption Trends and What Comes Next

We’ve been watching the AI-in-acquisition conversation for years now. And for the first time, it feels like the hype might actually be catching up with reality on both sides of the table.

Maybe you’re a procurement officer drafting solicitations, or a proposal manager racing toward another deadline. Regardless, your reality is the same: AI isn’t a theoretical conversation anymore. It’s in your workflows. It’s on your leadership’s priority list. And it’s reshaping what “good” looks like in acquisition.

Here’s what the latest data tells us about where things stand in early 2026, and what we think it means for teams on both the buy side and the sell side.

The Numbers Tell a Clear Story: Adoption Is Real

Let’s start with the headline stats, because they’ve shifted dramatically in the last twelve months (and arguably, even since the start of the year). 

On the procurement side, a 2025 Ironclad survey of 800+ procurement professionals found that 73% are already using AI for procurement use cases. In other words, we are clearly out of the aspirational phase here when it comes to adoption. And ProcureAbility’s 2026 CPO Report went even further: 100% of procurement leaders surveyed reported some level of AI utilization in their operations. The era of “should we?” is over.

On the proposal side, 68% of proposal teams are now using generative AI (a figure that doubled from 34% in 2023, according to compiled industry benchmarks from Bidara). Among those teams, nearly a third are using AI daily.

But there’s something else; adoption doesn’t mean maturity. The Hackett Group’s 2025 Key Issues Study found that while 49% of procurement teams are running AI pilots, only 4% have reached meaningful, production-scale deployment. There’s a canyon between experimenting with ChatGPT on your own and embedding AI into the workflows that actually drive your business.

Where AI Is Actually Adding Value Right Now

The use cases that are gaining real traction tend to share a common trait: they automate the work nobody wanted to do in the first place.

On the procurement (buyer) side, the highest-impact applications right now are document drafting—RFPs, RFIs, Statements of Work—followed by contract management, compliance checking, and spend analytics. EY’s 2025 Global CPO Survey found that 80% of CPOs plan to upgrade procurement capabilities by improving processes and adopting new technologies like generative AI. And GSA has been leading by example, testing AI-powered chatbots for routine inquiries and using generative AI to draft market research summaries.

For government agencies specifically, AI is starting to address some of the most painful bottlenecks in the acquisition lifecycle: slow requirements generation, manual document updates across templates, and the loss of institutional knowledge as experienced contracting officers retire or leave. The FY 2026 NDAA underscored this urgency by overhauling the DoD acquisition lifecycle and pushing for more flexible, commercially oriented acquisition models.

On the proposal (seller) side, the value is even more immediately tangible. First-draft generation is the use case that’s broken through. Teams report that AI can handle 80% of a first draft in minutes, freeing subject matter experts to focus on strategy, differentiation, and the storytelling that actually wins evaluations. Beyond drafting, AI is proving itself in content library management, compliance verification, and SME coordination. In other words, automating the chase-down process that eats up entire proposal cycles.

The proposal profession has frankly needed this relief. Recent industry data puts the average “happiness score” among proposal professionals at just 6.8 out of 10, with 63% regularly working overtime and 88% reporting high stress. When half of all RFP responses are still rated as generic or off-target, the case for AI-powered quality improvement writes itself.

The Obstacles Are Real—But They’re Solvable

Enthusiasm alone isn’t bridging the gap. Several barriers keep coming up in the data.

Data quality and integration remain the top technical challenges. The 2025 ProcureCon CPO Report found that 88% of procurement leaders cited integration issues and 75% cited data quality as barriers to AI confidence. On the proposal side, the problem is similar: most organizations’ knowledge is scattered across SharePoint sites, shared drives, email threads, and the heads of people who may or may not be available for your next response.

The skills gap is the other elephant in the room. BCG reports that 89% of executives say their workforce needs improved AI skills, yet only 6% have begun meaningful upskilling. Deloitte’s 2025 survey of 3,200+ leaders identified the AI skills gap as the single biggest barrier to integration. On the federal side, 2025 saw significant attrition of experienced contracting officers and tech-savvy employees, making it even harder for agencies to absorb and operationalize new AI capabilities.

Security and governance concerns remain particularly acute in regulated industries and government contracting. OMB’s updated guidance (M-25-21 and M-25-22) is pushing agencies to formalize AI governance, procurement policies, and contractor requirements, but the implementation is still catching up to the mandate. For contractors, this creates a dual challenge: adopt AI to stay competitive, while ensuring your tools meet the security and compliance standards your clients require.

What Comes Next: Three Trends to Watch

1. The shift from “copilots” to agents. We’re moving past the phase where AI simply suggests text and a human accepts or rejects it. Agentic AI (where AI systems can autonomously handle multi-step tasks like shredding an RFP into requirements, routing questions to the right SMEs, drafting section-level responses, and flagging compliance gaps) is the next frontier. Gartner predicts that by 2028, roughly a third of enterprise applications will include agentic AI features. In acquisition, that means less time managing the process and more time focused on the substance.

2. Purpose-built solutions are pulling ahead of general-purpose tools. There’s a reason teams that started with ChatGPT are increasingly moving to dedicated platforms. General-purpose AI doesn’t understand your proposal workflows, your compliance libraries, your win themes, or your past performance. It can’t ingest your organizational data at scale or operate within your security perimeter. The RFP automation AI market, now valued at roughly $1.1 billion, is projected to reach $2.43 billion by 2029. We consider this a clear signal that organizations are investing in tools built for their specific use case, not just tools that can write.

3. The buyer-seller AI gap is closing. For years, proposal teams have been the primary adopters of AI in acquisition. But 2026 is the year procurement organizations are catching up fast. As government agencies formalize their AI acquisition policies, streamline procurement document creation, and centralize institutional knowledge, we’ll see AI embedded on both sides of the transaction. That has implications for everyone: proposals will need to be sharper and more differentiated when the people evaluating them are using AI, too.

Where We Sit

At Rohirrim, we built our platform around a specific conviction: the acquisition process—both buying and selling—is one of the most consequential, knowledge-intensive workflows in any organization, and it deserves purpose-built AI, not retrofitted general tools.

Our UnifiedRespond platform helps proposal teams at Fortune 100 enterprises and government contractors produce higher-quality responses, faster. With patented, organization-specific generative AI that learns from your data, meets enterprise security requirements, and actually fits the way proposal teams work. Our customers have seen results like a 90%+ reduction in drafting time and the ability to handle 40% more work volume with existing headcount.

On the procurement side, UnifiedAcquire is bringing the same purpose-built approach to government acquisition teams, automating document drafting, streamlining compliance workflows, and preserving institutional knowledge in a secure, policy-aligned workspace.

Because whether you’re writing the RFP or responding to it, the goal is the same: spend less time on the repetitive grind and more time on the strategic work that actually moves the needle.

Rohirrim