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On Artificial Intelligence: In Competitive States and Districts, Large Bipartisan Majorities Agree on Proposals for Regulation

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AI First of 15 Topics in Common Ground in the Battlegrounds?
Survey Series to Run Through the Midterm Elections

COLLEGE PARK, Md., July 20, 2026 /PRNewswire/ — As artificial intelligence becomes integrated into more aspects of the economy and society, new surveys in 11 competitive states and 28 competitive congressional districts reveal common ground between Democrats and Republicans on proposals to regulate artificial intelligence.

New surveys from the University of Maryland reveal bipartisan common ground on proposals to regulate AI.

Large majorities of both Democrats and Republicans favor the federal government:

creating a federal agency devoted to monitoring and regulating AIrequiring existing and new AI programs that make critical decisions to pass a government test (e.g. health insurance claims, hiring, etc.)requiring deepfakes be labelled as suchprohibiting political campaigns from using deepfakes

Large bipartisan majorities favor the U.S. working with other nations to create international treaties:

regulating large-scale AI programsbanning weapons that can fire on targets without a direct human command

In nearly all of the competitive states and districts surveyed, all proposals received two-thirds support among both Democrats and Republicans.

The domestic proposals tested are derived from congressional legislation, and the international ones come from international organizations, including the United Nations and Red Cross.

Steven Kull, Director of the University of Maryland’s Program for Public Consultation (PPC) noted, “We’re surveying to determine how much common ground there is in battleground states and districts. In this first survey, it is clear there is broad agreement among Democrats and Republicans that the federal government should play an active role in regulating artificial intelligence.”

Common Ground in the Battlegrounds?
This survey release is the first in the Common Ground in the Battlegrounds? survey series being conducted by the Program for Public Consultation (PPC) in the run-up to the November election in 11 competitive states and 28 competitive U.S. House districts.

Surveys on fourteen additional topics will be released on a rolling basis between now and the mid-term elections, covering over 100 specific policy questions. The policies – most of which are pending in Congress – were chosen because surveys by PPC and others consistently found majority Republican and Democratic agreement nationally. The results for all individual states and districts can be found here.

New Federal Agency to Oversee AI
Creating a new federal agency to, “monitor new AI programs and try to anticipate potential problems, define best practices for developing and using AI programs, make policy recommendations, and enforce regulation,” was favored by bipartisan majorities in all battleground states and districts surveyed. Among Democrats 76 to 89% were in favor, among Republicans 66 to 85%, and overall in the battlegrounds 75 to 83%. Nationally, 85% of Democrats were in favor, 79% of Republicans, and 80% overall.

Regulating AI Programs That Make Critical Decisions
Bipartisan majorities in all battleground states and districts surveyed favored two proposals to regulate, “AI programs that make decisions that can have significant impacts on people (e.g. in health insurance claims, loan applications, hiring, etc.),” that aim to ensure they, “follow regulations, have data privacy and security protections, and do not have unintended biases.”

Requiring new AI programs that will make critical decisions first pass a government-designed test was favored by 65 to 88% of Democrats, 69 to 91% of Republicans, and 71 to 85% overall across the battlegrounds. Nationally, the proposal was favored by 82% of Democrats, 78% of Republicans, and 78% overall.

Allowing the government to audit AI programs that are already being used to make critical decisions, was favored by 59 to 83% of Democrats, 59 to 80% of Republicans, and 58 to 77% overall across the battlegrounds. Nationally, the proposal was favored by 77% of Democrats, 73% of Republicans, and 74% overall.

Regulating Deepfakes 
Two proposals to regulate AI-generated images, video and audio, known as deepfakes, are favored by bipartisan majorities in all battleground states and districts surveyed.

Requiring that any deepfakes, “distributed publicly – e.g. posted online or shown on TV – must have a label that states that it is not real and was generated by AI,” was favored by 84 to 95% of Democrats, 80 to 93% of Republicans, and 82 to 91% overall across the battlegrounds. Nationally, the proposal was favored by 88% of Democrats, 89% of Republicans, and 86% overall.

A proposal to, “prohibit political campaigns, including PACs, from using deepfakes in their campaign advertisements,” was favored by 71 to 93% of Democrats, 76 to 90% of Republicans, and 77 to 88% overall across the battlegrounds. Nationally, the proposal was favored by 83% of Democrats, 85% of Republicans, and 82% overall.

Creating an International Treaty to Regulate Large-Scale AI
The US working with other nations to “create an international treaty to regulate large-scale AI programs,” was favored by bipartisan majorities in all battleground states and districts surveyed (70 to 89% of Democrats, 63 to 85% of Republicans, 70 to 84% overall across the battlegrounds). Nationally, this was favored by 82% of Democrats, 78% of Republicans, and 77% overall.

Banning Nations from Developing Fully Autonomous Weapons
Bipartisan majorities in all battleground states and districts surveyed favored the US working with other nations to, “create an international treaty that would prohibit the development and use of AI-powered weapons that can fire on targets without a direct human command” (62 to 90% of Democrats, 59 to 87% of Republicans, 69 to 84% overall across the battlegrounds). Nationally, this was favored by 82% of Democrats, 81% of Republicans, and 79% overall.

MORE INFORMATION

Individual State and District ResultsQuestions used for this analysisNational Questionnaire with Toplines, Crosstabs and Methodology

About the Surveys
The state and district surveys used for this analysis were fielded May 27 – June 25, 2026, to a total of 19,564 adults, including at least 600 in each of the 11 states, and at least 400 in each of the 28 congressional districts. The response rates were 7.1 to 9.0%. The confidence intervals range from +/- 2.9 to 7.6%, and the maximum weights range from 1.9 to 6.9.

The national survey was fielded February 11-26, 2026 with 2,509 adults. The response rate was 7.6%. The confidence interval is +/- 2.9%, and the maximum weight is 2.5.

Sample was obtained from multiple online opt-in panels, including Cint, Dynata and Prodege. Sample collection and quality control was managed by QuantifyAI under the direction of the Program for Public Consultation. The surveys were offered in both English and Spanish.

The samples were pre-stratified and weighted by age, race, ethnicity, gender, education, household income, region, marital status, and home ownership to match the respective adult population. The national sample was also weighted by Census region and partisan affiliation. In the state and district samples, the distribution of partisan affiliation were within expectations, based on voter registration for non-leaners and/or Cook’s Partisan Voting Index for leaners, or weighted to reflect those benchmarks.

About the Common Ground in the Battlegrounds? Project 
The Common Ground in the Battlegrounds? project will conduct and release a survey series in 11 competitive states and 28 competitive U.S. House districts that will be released on a rolling basis between now and the mid-term elections. Surveys will cover 15 topics and include over 100 specific policy questions. The goal of this effort is to determine where there is bipartisan common ground in competitive states and districts across the nation. Additionally, the project seeks to educate the public, policymakers and candidates about the findings; and provide journalists with independent, nonpartisan research that brings the public into the conversation about public policy.

In addition to PPC, project partners include the Civic Innovation Center at the University of Maryland (CivIC), and Voice Of the People (VOP), a national nonpartisan organization seeking to give the public a greater voice in government. None of these entities advocate for policy positions or endorse candidates.

Program for Public Consultation
The Program for Public Consultation (PPC), affiliated with the University of Maryland’s School of Public Policy, develops and conducts public consultation surveys, in which respondents are informed about and deliberate on policy solutions being proposed by elected officials, and give their recommendations. It seeks to improve democratic governance by consulting representative samples of citizens on key public policy proposals, and sharing its findings with officials in government, the media, other academics, and the general public.

Civic Innovation Center
The Civic Innovation Center (CivIC) at the University of Maryland’s School of Public Policy works to strengthen the foundations of civic health. It contributes to important debates about civic education, civic engagement, and needed democratic reforms in the state of Maryland and nationwide, in partnership with other BIG 10 universities. It works to build the connective tissue that brings together students, scholars and practitioners to help elevate the UMD community’s contribution to our wider democracy.

Voice Of the People
Voice Of the People (VOP) is a nonpartisan organization working to re-anchor our democracy in its founding principles by giving ‘We the People’ a greater and more effective voice in government. It champions innovative methods and technology that enable the American people to play a role in the policymaking process and provide policymakers with a more accurate understanding of the views of their constituents.

Contact: Jonathan Casaverde, (786) 469-9422
jonathan.casaverde@wardcirclestrategies.com

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From Data to Action: Gong Debuts New Revenue AI Innovation at Celebrate ’26

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Featuring customers & partners from Anthropic, AT&T, Cisco, Snowflake and more showcasing real revenue AI outcomes, and keynote speaker and bestselling author Daniel Pink

LAS VEGAS and SAN FRANCISCO, Sept. 30, 2026 /PRNewswire/ — Gong today unveiled several major revenue AI announcements at Celebrate ’26, its annual customer conference live from Las Vegas. Gong cofounder and CEO Amit Bendov discussed the next evolution of Revenue AI and announced the launch of several new innovations, including Gong Enrich, Agent Builder, and Deep Mode in Gong Assistant. Gong also announced Gong Activate, the next generation of Revenue AI, that allows teams to deploy the motions that win, retain, and grow accounts, with agents and reps all working from the same blueprint.

Introducing Gong Activate
Enterprises are no longer satisfied with evaluating AI; they want scalable results. While modern AI lowers the barrier to automating tasks, without deep contextual intelligence, it can’t be trusted with much of the nuanced work that drives revenue. That’s the backdrop for Gong Activate, centered on Gong’s vision for a self-improving “revenue loop”.

Gong captures your organization’s unique institutional knowledge within the Gong Revenue Graph. From buyer personas and competitive positioning to your best reps’ deal-closing strategies, it creates an ever-improving model of your business.

Gong Activate will convert this into effective action. Always-on agents continuously evaluate every account, opportunity, and revenue play, building detailed prescriptions for the best path forward. This will allow Gong Activate to orchestrate your most valuable revenue work. It delivers up-to-date, highly relevant guidance to team members and provides the context for specialized agents to work alongside them, automating time-consuming steps in full alignment with the plan.

And measurement creates constant feedback, folding outcomes back into the Revenue Graph so every decision and action sharpens the next. The result is a virtuous revenue loop that will help new reps perform like seasoned veterans, build trust in automated workflows, and consistently shift the performance bell curve.

“Gong pioneered Revenue AI in 2015. Today, we’re taking the next step with the announcement of Gong Activate – centered on Gong’s vision for a self-improving revenue loop,” said Amit Bendov, Gong Co-founder and CEO. “For years, AI told you how to win. Now, AI wins deals for you. That means faster cycles, higher win rates, and reps running proven plays instead of guessing.”

New Product Innovations
In addition to Gong Activate, Gong introduced new offerings and enhancements as part of its latest product release, Mission Callisto, built to help revenue teams move faster and with less friction. Highlights include:

Gong Enrich, a new sales enrichment offering, helps close the data gaps that slow sellers down, automatically filling in missing account and contact details so reps spend less time researching and more time acting. Enrich launch partners include Apollo, Findymail, Firmable, Kernel, LeadIQ, Lusha, RocketReach, Wiza, ZeroBounce, and ZoomInfo.Agent Builder enables teams to create custom agents that automatically run in response to the events and conditions they define, helping automate and scale your most critical, winning workflows. Define the triggers, conditions, steps, and actions, or simply describe the agent you want in natural language. Your workflows run consistently across the business whenever the right event occurs, without relying on someone to remember to start them.Deep Mode, an agent within the Gong Assistant, takes on the investigation behind hard business questions, turning what used to take hours of manual digging into a grounded, comprehensive answer.

To learn more about the latest launch and all innovations in Mission Callisto, read more here.

Showcasing customer outcomes
Live on-stage customers like AT&T Business, Anthropic, Cisco, Experian, Snowflake, Thomson Reuters and others shared how they are driving real outcomes with Revenue AI. Highlights included:

AT&T Business is driving better business outcomes with Gong. One example is via coaching. By utilizing scorecards, call reviews, and manager feedback in Gong they achieved a 54% improvement in rep productivity. Additionally, users of the 12 Gong features they are using outperformed the productivity of non-users every time.Cisco returned to the stage a year into their rollout, now with enough scale to measure real outcomes as they have deployed 18,000 Gong licenses company-wide, gained insights from over 450,000 conversations and got their entire salesforce up and running on Gong Engage. This has led to remarkable productivity, including notable incremental revenue from over 50,000 Engage flows executed. Early-adopting teams are showing roughly 32% larger deal sizes and 26% higher win rates.Experian consolidated a division built from four separate acquisitions around one AI-driven platform – not by starting with a tool, but by identifying three specific decisions to improve: coaching, continuity, and renewal risk.The result was a 25% lift in win rates, proof that AI can’t create your strategy; it can only scale it.

Additional Celebrate ’26 Highlights
Celebrate ’26 will feature a keynote from Daniel Pink, #1 New York Times bestselling author of To Sell Is Human, Drive, When, The Power of Regret, and A Whole New Mind. Pink will discuss the 5 Ways to Navigate What’s Next, and will offer a quick look at the big trends reshaping business. He will also share a set of practical, science-based tips for making progress amid the turbulence. Attendees will come away with a clearer framework for persuasion grounded in how people actually think and decide, rather than in sales tricks.

Learn More
For more information on Celebrate ’26 and to watch replays from the event, visit https://www.gong.io/events/celebrate

About Gong
Gong harnesses the power of AI to transform how revenue teams win. Gong Revenue AI unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, specialized agents, and trusted applications, Gong helps more than 5,000 organizations around the world deeply understand their teams and customers, automate critical revenue workflows, and close more deals with less effort. Learn more at gong.io.

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Revenue alai by LateralCare Available on the Microsoft Marketplace

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Microsoft customers worldwide can discover and deploy revenue alai by LateralCare through Microsoft Marketplace, accessing trusted solutions that accelerate innovation and business transformation with unified integration across Microsoft products

DALLAS, Sept. 30, 2026 /PRNewswire/ — LateralCare announced the availability of revenue alai in the Microsoft Marketplace, the unified online destination for customers to buy trusted cloud solutions, AI apps, and agents to meet their business needs. Revenue alai customers can now discover and deploy trusted solutions through Microsoft Marketplace, with smooth integration and streamlined management across Microsoft Azure and other Microsoft products.

LateralCare is a healthcare technology company dedicated to responsibly applying Agentic AI to transform complex healthcare operations. Its AI-native solutions combine intelligent automation, explainable decisioning, and human-in-the-loop governance to help organizations improve efficiency, strengthen performance, and navigate operational complexity with greater confidence. Revenue alai, LateralCare’s flagship platform for revenue cycle management, brings these capabilities to financial operations, helping healthcare organizations reduce administrative burden, improve visibility, and drive stronger outcomes. Through Microsoft Marketplace, organizations can more easily discover, deploy, and integrate revenue alai within their existing Microsoft technology environments.

“The availability of revenue alai through Microsoft Marketplace marks an important milestone in our mission to transform healthcare revenue cycle management through responsible AI,” said William Reau, Chief Executive Officer of LateralCare. “Healthcare organizations need solutions that not only automate work, but also provide transparency, accountability, and measurable impact. Through Microsoft Marketplace, customers can more easily deploy revenue alai within their existing technology ecosystem and leverage AI-driven intelligence to improve revenue performance, reduce operational burden, and support better organizational outcomes.”

“We’re pleased to welcome revenue alai by LateralCare to Microsoft Marketplace,” said Cyril Belikoff, vice president, Microsoft Azure Product Marketing. “Marketplace connects trusted solutions from global partners with customers worldwide, making it easy to find and deploy apps that work seamlessly with Microsoft products.”

Microsoft Marketplace is a single destination to find, try, and buy trusted cloud solutions, AI apps, and agents to meet your business objectives. Choose from a growing collection of solutions tailored to your unique needs, available both in Marketplace and directly within Microsoft products. 

About LateralCare
LateralCare is a healthcare technology company dedicated to responsibly integrating Agentic AI to transform complex healthcare operations. Its AI-native flagship platform, revenue alai, modernizes revenue cycle management by uniting intelligent automation with explainable decisioning and human-in-the-loop governance—helping healthcare organizations improve financial performance while operating with greater clarity, confidence, and control.

For more information, visit www.lateralcare.com or follow revenue alai and LateralCare on LinkedIn for the latest updates.

For more information, press only:

Sunya Chandi, LateralCare, sunya@lateralcare.com

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Study Finds Majority of Advertisers Would Pay a Premium for More Audience Choices and Faster Campaign Delivery

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Although most advertisers are bullish on commerce media spending, 86% say slow audience fulfillment could cause them to cut spending or leave a network partner

NEW YORK, Sept. 30, 2026 /PRNewswire/ — GrowthLoop, a pioneer in agentic AI-powered marketing solutions, today released its 2026 Commerce Media Investment Index, revealing that activation speed and audience options have become decisive factors in where advertisers place retail and commerce media budgets. Conducted in partnership with Ascend2, the study surveyed nearly 300 U.S. and Canadian marketing professionals involved in retail media network (RMN) or commerce media network (CMN) advertising decisions.

The findings reveal what motivates advertisers to spend more with network partners and shed light on how execution friction could put that spend at risk:

86% say slow audience fulfillment could cause them to reduce spend or leave a network partner, while 85% say they would pay a premium for same-day fulfillment.  Nearly all respondents indicate that access to more segments would make them more likely to increase spend.32% of advertisers have reduced, paused, or reconsidered investment because of difficulty proving ROI to leadership.

“Advertisers are telling media networks how to win more budget: Provide better audiences, activate them faster, and deliver meaningful results quickly enough to inform the next campaign,” said Anthony Rotio, co-founder and co-CEO of GrowthLoop. “As we’ve seen with customers like Gopuff, a warehouse-native audience building solution is the way to fulfill these requirements and ultimately build stronger advertiser relationships.”

Key report findings

The Index shows that advertisers spread significant budget across a crowded commerce media market. The majority of advertisers allocate at least 15% of their digital advertising budgets to these networks and 90% work with two or more RMN or CMN partners. No respondents plan to decrease commerce media spend in the next year, and a full 85% plan to increase their spend.

Additional findings include:

Speed shapes spending decisions

92% would be more likely to increase spend with faster audience fulfillment.94% would likely spend more with partners offering self-service audience-building tools.Advertisers reporting the strongest ROI are five times more likely than others to receive custom audiences the same day.

Advertisers want more audience choice

Only 38% are extremely satisfied with the number of audiences available through their partners.95% say they would be more likely to increase spend with access to more segments.

Confidence in incrementality measurement drives investment and ROI

Only 40% are very confident in their partners’ incrementality measurement.Advertisers with high confidence in their partners’ measurement spend a larger share of their digital budget on RMN/CMN and are more than twice as likely to significantly exceed ROI targets.

Campaign results often arrive too late to guide the next decision

Nearly half of advertisers wait at least one week for post-campaign performance data, while only 8% receive it the same day.Just 32% say they can consistently use campaign results to optimize future audience targeting.

Putting audience scale and speed into practice

As audience speed and scale remain top of mind for advertisers, Gopuff — the leading instant commerce platform that delivers thousands of everyday products to customers in minutes — has shown how media networks can successfully address these priorities. Leveraging a composable commerce media solution, Gopuff can provide brand advertisers with a larger pool of audiences, activate campaigns quickly, and provide faster, more comprehensive visibility into campaign metrics.

“Advertisers increasingly expect both greater audience customization and faster activation, and we no longer have to trade one for the other,” said JR Crosby, director of data partnerships at Gopuff. “After implementing a warehouse-native stack, we increased our audience segments from 100 to more than 600, and expanded audiences for our subsidiary, BevMo!, from 75 to 400. These expanded audience catalogs give our internal teams and brand partners a broader range of ready-to-use targeting options and create the groundwork for more customized segment offerings.”

To download the full 2026 Commerce Media Investment Index, visit go.growthloop.com/cmn-index. To learn more about GrowthLoop’s Composable Commerce Media solution, visit https://www.growthloop.com/teams/commerce-media.

About GrowthLoop

GrowthLoop is a pioneer in composable, AI-powered marketing on the data cloud, featured on G2 by its customers as a momentum leader with the best ROI for enterprise. The GrowthLoop agentic, composable CDP drives compound growth by accelerating the marketing cycle using agentic AI powered by your enterprise cloud data. Working alongside AI agents, teams use GrowthLoop to translate customer data into precise audiences and activate those audiences across real-time customer journeys, measuring and improving performance through always-on analysis — all with zero data movement. Thousands of marketers at enterprises like Costco, Albertsons, Fanatics, and Ford rely on GrowthLoop to bring their AI strategy to life, grow faster with every experiment, personalize every customer touchpoint, and drive rapidly compounding results.

Media Contact

press@growthloop.com 

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