From Insight to Influence
Data-Driven Advocacy in an Era of AI, Misinformation, and Policy Complexity
Key Takeaways • National Association of Manufacturers (NAM) Association Professionals Staff Workshop • May 2026
01 Data Credibility Is a Strategic Asset, Not Just a Communications Tool
One of the clearest threads through the session was this: data isn't just something you include to look thorough. When it's credible, specific, and relevant, it changes the nature of the conversation with policymakers.
That matters right now because policymakers and their staff are fielding competing claims from multiple directions at once. What earns attention in that environment is defensibility. Data gives policymakers something they can actually use:
A justification they can repeat to constituents
A framework that holds up when challenged from across the aisle
Political cover when a vote or decision gets contested
"Anecdotes alone often compete in a 'marketplace of feelings.' Hard data (jobs, wages, GDP, district-level impacts) gives policymakers defensible talking points."
The important nuance the group surfaced: data earns attention, but it doesn't close the deal on its own. The associations seeing the most traction are pairing credible data with narrative, context, and relationship, not treating data as a standalone persuasion tool.
T A K E A W A Y Credibility earns you a seat at the table. Framing your data around what decision-makers actually care about (jobs, constituents, competitiveness, local outcomes) is what keeps you there.
02 Foundational Practices Are Table Stakes. The Opportunity is in What Comes Next.
The session surfaced a maturity curve that many participants recognized in their own organizations. Economic impact studies, district-level data sheets, fly-in materials, member surveys: these are now baseline. They're necessary, but they're no longer a differentiator.
The organizations gaining ground are moving into more targeted approaches:
Predictive analysis of proposed regulations before they finalize
Feasibility studies built from actual operational data rather than modeled estimates
Shared coalition datasets that multiply credibility across industries
Regulatory benchmarking that shows how policy proposals compare across jurisdictions
Interactive tools that let policymakers explore district-level impacts on their own terms
Participants also called out consistency and cadence as underrated factors. Data loses its power when it's outdated or deployed reactively. Associations that maintain current datasets and release them on a predictable schedule build credibility that compounds, because policymakers come to rely on them as a source, not just a stakeholder.
T A K E A W A Y Collecting data is no longer the advantage. The opportunity lies in applying it strategically, consistently, and early enough to shape the conversation rather than respond to it.
03 Timing and Framing Matter as Much as the Evidence Itself
This came up repeatedly, and it's worth sitting with. Poll results and roundtable discussion kept returning to the same observation: even well-researched, credible data can fail to land if it isn't in the right hands at the right moment, or if it isn't framed for the audience receiving it.
"Influence often hinges on context, not just content. Being present, prepared, and able to connect data to a compelling story in real time is what moves decisions."
When data and competing narratives conflict, what shapes the outcome most is who's in the room when decisions are being made, and how well they can translate that information through the lens their audience is already using. That's not a cynical observation; it's a practical one that changes how associations should think about preparation and presence.
A few things that came out of this discussion:
Associations need to think about getting evidence into the right conversations proactively, not just having it ready when asked
The same data point lands very differently depending on whether it's framed around local jobs, constituent safety, or national competitiveness
Narrative is infrastructure, not decoration. Data without a clear story gets filed. Data with a story gets remembered, repeated, and used
T A K E A W A Y Strong data still needs timing, framing, and story. The association that shapes how its data is understood, not just what the data says, has a real advantage in policy conversations.
04 AI Is a Capacity Builder, and It Cuts Both Ways
AI came up throughout the session, both as a tool associations are already putting to work, and as a source of the misinformation they're increasingly having to counter. The conversation was grounded and practical, not speculative.
Where participants are finding genuine value right now:
First drafts: getting a working document faster so staff time goes to refining and judgment, not starting from scratch
Monitoring at scale: tracking regulatory activity, media coverage, and state-level developments across jurisdictions that would be impossible to watch manually
Background research: compressing the time between "we need to understand this" and "we're ready to engage"
The guardrails participants emphasized were just as important. AI doesn't understand legal nuance, political context, or relationship dynamics. Every output needs human review. And clear internal guidelines on confidentiality, attribution, and appropriate use cases should be established before staff are using these tools widely, not after an issue surfaces the gap.
There's also a defensive dimension worth noting. AI tools are already surfacing and, in some cases, amplifying misinformation about manufacturing industries. Associations should think carefully about how their public-facing content is structured and positioned so it gets picked up accurately, rather than reframed out of context by a search algorithm or AI summary.
T A K E A W A Y AI can expand your team's capacity meaningfully. It works best when it's used to move faster on things humans then review and refine, not as a replacement for the judgment, relationships, and credibility that associations are built on.
P A N E L I S T H I G H L I G H T S
Kate Fox Wood | VP, Federal Affairs, Association of Equipment Manufacturers
Turning Data Into Influence
Kate's core point was straightforward: anecdotes compete in a marketplace of feelings. Aggregated, anonymized industry data gives associations something more durable: defensible, constituent-relevant evidence that shifts the tone of policy conversations from reactive to proactive.
The practical shift she encouraged: translate sector-level data into what it means in a specific district or state. That framing gives legislative staffers something they can carry into internal discussions and justify publicly. AEM's work on emissions policy, and their Sustainability Council's use of data alongside direct demonstrations to engage MAHA leadership, illustrated how this plays out when it's done well.
Kim Kleine | SVP, Public Affairs, U.S. Tire Manufacturers Association
Integrated Public Affairs: Where GR and Communications Meet
Kim's framing was both organizational and strategic: public affairs doesn't work as well when government relations and communications operate in separate lanes. GR sets the policy agenda, communications conditions the environment for that agenda to land. When they're working in alignment, data becomes a real force multiplier. When they're siloed, it tends to get lost.
Her roadmap for building credibility was direct: show up before you need something, invest in relationships across the aisle, coordinate member voices without creating noise, and stay consistent over time. USTMA's work on tire safety, NESHAP, and end-of-life tire management showed how to translate complex technical issues into policy leverage by reframing in lawmakers' terms, using third-party validators, and making the cost of inaction concrete.
The through-line from Kim's presentation: credibility is built during the quiet periods and drawn on when it matters most. Associations that have invested in relationships and consistency before a high-stakes moment are the ones with something to stand on when the policy environment becomes difficult.
W H A T A S S O C I A T I O N S C A N I M P L E M E N T N E X T
Consider standing up a data exchange. Derive industry-level, credible evidence for your policy positions from a data exchange, which can also be a leading member benefit. Associations are uniquely positioned to provide this service.
Operationalize “evidence in the room.” Make sure credible data is present, packaged, and ready at the exact moments decisions are shaped.
Increase AI adoption and standardize AI workflows with guardrails. Start with drafting templates and research playbooks, add verification habits, then expand to monitoring intelligence.
Upgrade integrated advocacy with audience intelligence. Keep rapid response strong but close the gap by adopting segmentation and message testing so the right framing reaches the right decision-makers.
C L O S I N G T H O U G H T
"Effective advocacy today is iterative, relational, and multidimensional. It must be grounded in data, amplified by strategy, and sustained through trust."
The conversation at the workshop kept coming back to a consistent idea: the associations making the most progress aren't treating advocacy as a campaign. They're treating it as an ongoing practice: building data infrastructure, maintaining relationships, being thoughtful about how they use new tools, and showing up with the right evidence at the right moment often enough that they're shaping conversations, not just participating in them.
We hope this summary is a useful reference as you think through what that looks like for your organization. If you have questions or want to talk about how any of these themes connect to your work, we'd welcome the conversation.
Get the downloadable version below.
