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Article

Leading Through Complexity: What Higher Ed Communicators Are Saying

July 25, 2025

What one word best describes your day-to-day work? 

That was the icebreaker posed by FleishmanHillard’s Sarah Francomano, who hosted and moderated a candid dinner conversation among senior higher ed communications and marketing leaders. Responses like “firefighter,” “pivot” and “controlling chaos” weren’t said for dramatic effect—they reflected the current state of the higher ed landscape. The group all concurred that leading communications in higher education today is intensely complex, often chaotic and always high stakes.

The conversation was twofold, starting with discussions around what senior leaders are currently seeing in higher education. Then, the conversation moved to what’s next and how higher-ed professionals can leverage AI and other emerging tools to support them in their roles.

The Current Reality: Complexity and Constant Pressure

Communications leaders in higher education are facing unprecedented, often competing demands—with the stakes higher than ever. A single misstep can trigger consequences ranging from trustee backlash to federal scrutiny. Plus, in an environment where issues are deeply personal and highly visible, it’s often the job of the communications team not just to respond, but to cut through the noise, determine whose voices matter most in a given moment and identify which relationships need to be prioritized in order to guide the institution through crisis or change.

Participants shared their experiences managing a high volume of inquiries on a consistent basis from students, parents, alumni, donors, faculty, media and the general public on issues pertaining to their schools. One participant described a case where their team received more than 10,000 emails in response to a global crisis. After sorting through all of the messages, they found that only a small fraction came from individuals actually affiliated with the institution. It was a telling example of how the general public’s perspective does not always reflect the opinions of key stakeholders who have an impact on a university.

Others spoke about the weight of deciding when—and whether—to issue public statements. Choosing to speak up on a cultural or political moment may be the right call in one case, but it often sets expectations for the next moment. The act of staying silent can also become a message, leaving universities at risk of receiving backlash. One communications leader noted that even a simple interaction with a reporter can draw the institution into a larger story, whether they want to be part of it or not.

Enrollment also surfaced as a key pressure point. Some schools are dealing with declining numbers and budget shortfalls; others are seeing higher-than-expected demand. Several attendees commented on the long-term risks of tuition discounting—the idea that while short-term financial aid boosts can help meet yield goals, they may also chip away at perceived brand value over time. Once an institution begins competing on price, it becomes difficult to return to a different model.

The Future: How AI is Shaping Strategic Readiness

Toward the end of dinner, the conversation shifted to some of the solutions now available to address the challenges that come with working in higher education. The group was introduced to a live AI-powered crisis simulation, led by FleishmanHillard’s Alex Lyall. The FH Crisis Simulation Lab draws from real-world crisis events and FH simulation methodologies and presents users with unfolding scenarios in the form of projected stakeholder reactions. Unlike traditional simulations, which are static, this AI-powered tool is dynamic in nature, responding to the real-time decisions of participants by evolving the crisis scenario to reflect how stakeholders might respond.

When the demo immersed participants in a campus protest scenario, the group decided to put the tool through its paces and selected the most aggressive response, forcing demonstrators to disband by a set deadline. The result generated backlash, escalation and reputational fallout in the form of emails, social media posts and media coverage, mirroring how a crisis team would experience these types of situations.

Participants were quick to note how well the tool captured the complexity and pace of an actual crisis. The AI agent mapped out the often-conflicting reactions across stakeholder groups—students, faculty, alumni, media, donors—and showed how quickly one decision can lead to a cascade of consequences. Later in the simulation, when the team chose how to correct course, the tool was prompted to generate internal and external holding statements that offered strong, usable drafts that could be easily customized to fit the voice of an institution.

Participants saw clear potential for the AI agent as both a training and planning resource—especially in conversations with boards or leadership teams. It provided a structured, precedent-informed way to explore how crisis scenarios might unfold, helping teams evaluate why one communications path might be more effective than another.

Alex shared that while this particular demo was generic, the FH Crisis Simulation Lab can be tailored to reflect each school’s culture, governance structure and audience. Even those in the room who were skeptical about AI said they could see its value in this kind of application—not to replace human instincts, but to sharpen and support them.

Going Forward: Navigating Reputational Complexities

The evening was a chance to connect with peers, swap stories and explore fresh ideas about what the future of higher ed looks like. It was an invigorating conversation that left many in the room feeling energized and inspired.

Higher ed communications may be complex, sometimes chaotic and full of tough calls—but it doesn’t have to be faced alone.

Article

What America’s AI Action Plan Means for Leaders Now

July 24, 2025
By Josh McConnell

Don’t think of this as just a policy reset. It’s a reputational crossroads. In a deregulatory moment, the real challenge isn’t compliance. It’s communication plain and simple: how to explain, defend and lead through what comes next.

The U.S. government has issued its clearest signal yet that it intends to lead the world in AI through acceleration over regulation.

America’s AI Action Plan, unveiled this month, reframes U.S. tech policy around three pillars: innovation, infrastructure, and international competitiveness. It rolls back many of the Biden-era safety and fairness frameworks, instead emphasizing open-source development, rapid deployment and private-sector partnership. For CCOs and CMOs, this isn’t just a policy update. It’s a pressure shift. With fewer federal rules in place, the burden of defining and defending responsible AI now falls squarely on companies themselves. That means your narrative, transparency and readiness matter more than ever.

How To Respond Ahead of the Spotlight

1. From frameworks to frontline comms, you can feel scrutiny shifting
With Biden-era guardrails rolled back, there’s more ambiguity and reputational risk. Review your systems, filtering practices and content neutrality positions ASAP. Comms teams need clarity and defensibility, especially where DEI, safety filters and model transparency intersect.

2. Prepare your public narrative before the news cycle tests it
Build messaging that goes beyond launches and investor decks. Emphasize ethical foresight, safety, training transparency and societal value in your comms. Assume watchdog groups, press and policymakers are already watching and look at your narrative through their eyes and position accordingly. Even consider a virtual audience simulation that will pressure test messaging for different mindsets. It’s ultimate defense as offense.

3. Make your company part of the national story
This plan isn’t just tech policy. It’s economic and diplomatic strategy. Companies that align their messaging with national priorities like innovation, infrastructure and workforce development will carry more weight with policymakers, partners and procurement leaders.

And in today’s generative search environment, those narratives aren’t just for press releases. They’re a crucial part of brand discovery. Organizations are can shape how they are surfaced, summarized and evaluated in search. If your brand isn’t telling a clear story, it’s likely that AI will try to do it for you or ignore you completely.

4. Engage now, not later
If your teams haven’t opened dialogue with NIST, OSTP or other agency stakeholders, now is the time to start. Participation in federal consultations and comment periods will shape procurement standards and signal leadership. You don’t want silence to be interpreted as an absence of a point of view.

5. Signal leadership through your talent
AI-readiness isn’t just about model performance. This is all about workforce planning. Use this moment to communicate investments in retraining, apprenticeships and education. This is reputational insulation and long-term eligibility for federal partnerships.

6. Strengthen your risk and compliance narrative
This plan includes stricter export controls, national security filters and new expectations for “secure by design” standards. Global comms must now reflect both regulatory divergence (EU, China) and internal alignment across legal, engineering and policy.

7. Know where your infra story fits
For companies in data centers, chips or energy, this is also an opportunity moment. Comms teams should coordinate early with government affairs, bid teams and legal to ensure eligibility positioning aligns with public messaging.

8. Plan for federal-state friction
As state-level bias audits, content governance and privacy laws expand, tensions with federal policy will grow. Your public narrative and internal compliance playbook must account for that dual reality.

So what comes next?

The companies that lead through this moment won’t be those that publish the longest policies. They’ll be the ones who explain their role with the most clarity, credibility and consistency both internally and externally.

The policy shift is clear: the U.S. is betting on speed, scale and innovation. But for communications leaders, the implications run deeper.

The questions coming next about explainability, bias, security and global alignment won’t be answered by engineers alone. They’ll require strong narratives, clear values and messages that hold up under scrutiny. Communications team won’t follow this story. They’ll help define it.

Josh McConnell  Josh McConnell is a VP of Technology based in New York where he helps companies navigate complex narratives at the intersection of innovation, reputation and culture. He brings over 15 years of experience across journalism and corporate comms, with leadership roles at Uber and Xero. As a journalist, he regularly interviewed tech leaders including Tim Cook, Satya Nadella and Jack Dorsey.

 
Article

Closing the Innovation Gap With FH Fusion, Our Data and AI-Powered Solutions Suite

July 14, 2025

Our new solutions suite designed by and for communications professionals builds on Omnicom’s agentic AI platform, Omni, by integrating institutional communications knowledge with advanced audience data and technology capabilities. FH Fusion gives every FleishmanHillard counselor and team the ability to create real-time, agentic AI solutions that deliver sharper insights, more precise activations and stronger business outcomes—no engineers required.

FleishmanHillard today launched FH Fusion, a first-of-its-kind communications solution suite that puts the full range of AI models, institutional knowledge and a proprietary data toolset directly into the hands of communications professionals. Unlike tech-first applications built by developers, FH Fusion was created by—and for—counselors, enabling them to design and deploy real-time solutions backed by Omnicom’s secure, scalable intelligence layer.

Already in use by more than 1,000 FleishmanHillard strategists, FH Fusion reduces ramp-up time, accelerates delivery and improves outcomes across crisis, stakeholder messaging, media intelligence and brand strategy.

“FH Fusion closes the innovation gap—the distance between what communicators envision and what most tools actually enable,” said Ephraim Cohen, global head of data and digital. “It gives every strategist the power to turn expertise into action, combining insight, data and AI to build exactly the solution they need. We designed it so communicators can move at the speed of their ideas, with technology that’s trained to think the way they do about how people react, how issues evolve and how strategy needs to shift in real time.”


A Peek Inside: How FH Fusion Works

Today’s communicators don’t just need insights. They need infrastructure. FH Fusion leverages Omnicom’s industry-leading investments in AI and data to bring together four critical components – data, generative AI, knowledge bases and subject matter expertise in building custom agentic solutions for each client. FH Fusion combines:

  • 🔗 A full range of AI models and agentic AI technology – Omni’s AI layer enables users to create custom, multi-agent workflows from a full range of generative AI modes.
  • 📊 Industry leading data stack – The data layer of FH Fusion combines Omnicom’s collective data-driven intelligence across audience and commerce inputs from Omni and Flywheel, with corporate and consumer media, influencer, and other critical communications data from OPRG and FleishmanHillard.
  • 📚 FleishmanHillard’s institutional knowledge – FleishmanHillard’s considerable institutional knowledge and collection of proven, proprietary methodologies are being organized into a growing library of knowledge bases accessible to any agent.
  • 🧠 Subject matter experts trained in developing agentic AI solutions – Solutions are built not by engineers, but by FH counselors trained in creating AI agents, resulting in agentic solutions with communications expertise at the core.


A Smarter Model for the Future of Communications

FH Fusion is already being used by FleishmanHillard subject matter experts to build client solutions across three capability areas—each one modular, extensible and designed to integrate seamlessly with existing client workflows. The tools below are just a few of the expert-built components being combined to create end-to-end, outcome-driven solutions.

1. Predictive Audience Intelligence with Synthetic Audiences

Solutions include SAGE (Strategic Audience Generation Engine) that simulates how key stakeholder groups—from policymakers to employees—respond to messaging, content or positioning. Using AI-modeled virtual audiences built on deidentified and aggregated behavioral and attitudinal data, teams can test multiple approaches, identify what resonates and refine strategy before going live.

As AI becomes the new filter for information, SAGE helps communicators shape how messages are interpreted before they’re summarized, surfaced or amplified by algorithms. In a recent pilot, SAGE uncovered shifts around trust and transformation, informing a Fortune 100 client’s rollout across six markets.

2.  Storytelling and Strategic Alignment

Solutions include the Connectivity Diagnostic Agent that analyzes how a brand’s story aligns with shifting cultural, regulatory and reputational forces. Trained by messaging experts, it goes beyond keyword scans to reveal strategic misalignment—helping teams fine-tune positioning before small gaps become larger problems. The Communications Function Builder helps leaders optimize team structure and workflows using benchmarking and best practices—turning institutional knowledge into scalable systems.

3. Crisis Management and Corporate Communications

Solutions include Risk Radar that flags reputational, legal and operational vulnerabilities using AI trained by FleishmanHillard’s crisis experts. It filters out noise and false positives, helping teams identify and respond to meaningful risks early, serving as a calibrated early warning system built for decision-making rather than a cry-wolf dashboard.

These solutions build on FleishmanHillard’s long-standing commitment to democratizing access to data—now extended through new forms of intelligence, including curated knowledge bases (KBs), scenario-trained agents and secure, segmented workspaces that adapt to each client’s needs. FH Fusion is powered by a flexible intelligence layer that enables any employee to build multi-agent workflows tailored to real-world communications challenges, drawing from a full range of top-performing AI models. FH Fusion also taps into the depth of Omnicom’s data ecosystem, combining audience and cultural intelligence from Omni, commerce insights from Flywheel, and integrated streams of media, social, influence, and business signals—calibrated for strategic communications.

“Too many tools treat communications like an engineering problem. FH Fusion starts from a different premise: strategy is a human discipline,” said Cohen, who will host the FH Fusion Summit in September featuring live builds, cross-functional demos and client use cases. “We’ve spent years expanding data fluency across the agency—and now we’re applying that same model to AI. We’re training every FHer to be a builder, not just a user. Communications expertise alone isn’t enough anymore. What we need is that expertise plus deep data fluency—and the ability to train AI agents just like we train people. That’s the real shift with FH Fusion.”

Disclosure: This post was developed in collaboration with a custom agent trained for the communications industry—guided by FleishmanHillard counselors and built using Claude 3.5 Sonnet, one of seven major models FH Fusion can switch between on the fly. It drew from a curated knowledge base of communications research to focus on the capabilities clients care most about right now. Want to see what else it can do? Let’s talk.

How FUSION WORKS
Article

AI Is a Business Imperative, But It’s a People Challenge First

June 12, 2025

As AI continues to reshape industries, organizations must take proactive steps to engage their workforce in these emerging technologies or risk falling behind. In this series, we will share insights to help leaders ask the right questions, engage and empower their teams, and position their organizations for long-term success in an AI-driven world.

Driving a People-First Adoption Strategy

Whether you work in IT, finance, healthcare, manufacturing, retail, agriculture or any other space—you can no longer afford to view AI as a future consideration. The time to prioritize AI was yesterday. As we enter the second half of a century-defining decade, the gap between companies that empower their workforce for AI-driven change and those that resist it will only continue to widen.

Yet many face real tension—move too quickly, and risk confusion, backlash or missteps that expose the business to unnecessary risk; move too slowly and fall behind competitors or miss out on transformational opportunities. The right path isn’t at either extreme. It’s a disciplined, step-by-step journey rooted in clear communication and a people-first strategy that helps employees navigate disruption with clarity, support and agency. The more planful your organization is, the more equipped you will be to ride the tidal wave of AI innovation coming your way.

A multidimensional approach requires effective communication, cultural readiness, engaged leaders, a skilled workforce, robust infrastructure, and organization-wide AI alignment.

Embracing the Four Pillars of AI Readiness

Future-focused leaders must think critically about how their people, at every level, are thinking, feeling and acting in response to AI-driven change. True readiness goes beyond systems and strategies and is rooted in your people.

Culture

Cultural readiness is about how employees feel—whether they are curious, confident or concerned about AI’s impact on their work. Organizations should create space for conversations about the future of work, and how roles may change in the age of AI. Communication and training must address hesitations directly and intentionally to build belief, trust and understanding around AI’s potential.

Leadership

Leaders need to model behaviors that build trust, safety and resilience during AI transformation. Visible champions of change will reinforce the connection between AI initiatives and the broader business strategy, and create an environment where employees feel supported, empowered and motivated to engage with new technologies.

Knowledge

Bridging knowledge gaps calls for a focus on both skillsets and mindsets. Organizations must explain why AI matters, how it impacts roles and how employees can use it to thrive.

Infrastructure

While infrastructure decisions may reside within IT, communications play a critical role in translating what system changes mean for employees. Communicators are essential to clarify how tools and changes will support safer, better ways of working.

Building this foundation across culture, leadership, knowledge and infrastructure is essential, but understanding your organization’s starting point is just as critical. By asking the right questions, you can identify strengths to build on, vulnerabilities to address and opportunities to align your teams around a clear, honest path forward.

Assessing Your Employees’ AI Readiness

AI transformation is a cross-functional effort, requiring coordination across the executive team, operations, technology — and critically, communications. Communications teams play a pivotal role in assessing organizational readiness, shaping a corresponding narrative around AI adoption and building trust across the organization. Asking yourself these questions can help clarify where your organization stands and where to go next:

Culture

  • Are leaders and employees open to AI adoption?
  • Do employees perceive AI as a threat or an opportunity?
  • Is there a clear understanding of how AI can benefit the company?
  • Does our culture support innovation and experimentation?
  • Do employees feel safe raising concerns, questions or ideas about AI without fear of judgment?

Leadership

  • Is AI a strategic priority for company leaders?
  • Are leaders visibly modeling openness, curiosity and resilience around AI change?
  • Are leaders connecting AI initiatives to the company’s broader mission and purpose in a clear, human-centered way?
  • Are leaders actively listening to employees’ concerns and ideas about AI and incorporating that feedback into decision-making?
  • Are AI investments aligned with business strategy and long-term goals?
  • Do executives understand the risks and opportunities of AI?

Knowledge

  • Are employees clearly informed about how AI systems will impact their work?
  • Do employees have AI-related technical skills?
  • Are there AI literacy programs for nontechnical staff?
  • Is there a talent acquisition strategy for AI expertise?
  • Are employees given clear examples of how AI will make their jobs easier, more impactful or more strategic?

Infrastructure

  • Are AI policies, governance, ethics and security protocols communicated clearly to employees?
  • Are concerns about AI openly acknowledged and addressed in communications?
  • Does our organization have a dedicated function/team or clear points of contact for our AI efforts?
  • Are new AI tools introduced with practical training and ongoing support?

What’s Next?

Start with what you know. If your people seem unsure or skeptical, focus on building trust and curiosity. If your leaders lack engagement, explain why AI matters and provide a framework they can use to model the mindset you want to see. AI readiness is about steady, people-first progress — not perfection. Steps forward could look like any or all of the following:

  • Live AI demo during an upcoming meeting
  • Fireside chat with a leader exploring the why and how of your company’s AI strategy
  • AI checklist outlining ways your organization can use AI to increase efficiency and drive business outcomes

There is no one-size-fits-all path to making an organization AI-ready, but leaders who critically examine their current state and take decisive action will be better positioned to thrive. The success of any AI initiative hinges on how well people understand and adopt it. Clear communication and strategic alignment are essential, and that’s where we can assist — helping you navigate change, engage and align your workforce and ensure a smooth transition.

Elana Sindelar Elana Sindelar works in FleishmanHillard’s Talent + Transformation practice with experience in change management, employee experience and internal communications. She has supported clients through major IT transformations, corporate rebrands and M&A activity. Elana currently focuses on exploring AI’s effect on the future of work, including how the emerging technology is reshaping the employee experience.

 
Article

From Chaos to Clarity: Why AI is the Communications Industry’s Strategic Imperative

May 2, 2025
By Matt Groch and Caitlin Teahan

In a world where every headline seems louder than the last, communications professionals are being asked to do, and prove, more than ever. What was once a function centered on messaging and media relations has evolved into a high-stakes, high-visibility discipline responsible for protecting reputations, navigating cultural complexity, and driving business outcomes.

As technology further shapes the media landscape and economic pressures continue to mount, one thing has become clear: the role of communications is more complex and thus more critical than ever. But with challenge comes opportunity, and today, that opportunity is being fueled by the strategic integration of artificial intelligence (AI).

The Challenge: It’s Bonkers Out There

If you’re a communications leader, you’re likely feeling the pressure and for good reason. The landscape is chaotic.

Crises move at lightning speed, supercharged by social media and a disparate constellation of stakeholders with conflicting expectations. Add to that a hyper-polarized climate where nearly every issue becomes politicized, and it’s easy to see why navigating reputation risk has become exponentially more difficult.

Meanwhile, the media landscape is in flux. Traditional outlets are losing authority, misinformation spreads like wildfire, and trust is no longer centralized; it’s fragmented across a dizzying array of influencers, platforms, and niche communities. For brands, that means it’s harder than ever to shape consistent, credible narratives.

And that’s not all. Economic uncertainty continues to rattle both the public and private sectors. From rolling layoffs and market volatility to tariff threats and escalating trade tensions, the pressure is on, especially when it comes to protecting corporate revenues and justifying communications budgets.

The Opportunity: AI-Powered, Data-Driven Communications

Despite all the noise, there’s a bright spot — one that could help communications professionals not just survive but thrive.

For years, we’ve used tech tools like media monitoring platforms and databases. But until recently, they had only a marginal impact on how we worked or the business outcomes we could drive.

Enter large language models and generative AI.

These tools represent a true inflection point. They’re already enabling communications teams to move beyond reactive, manual approaches and toward more proactive, insight-led strategies that improve outcomes, not just optics.

With AI, we’re now equipped to analyze coverage, conversation, and cultural trends at scale — instantly and intelligently. That opens the door for more effective, real-time media intelligence, smarter issues management, and faster, more informed responses when a crisis hits.

FleishmanHillard’s Ephraim Cohen moderates a conversation with Business Insider CTO Harry Hope during The Briefing Room: Teams of the Future in NYC — a dynamic discussion on how curiosity, integrity, and quiet persistence can guide teams through constant transformation.

The Future Is Now: Comms, Collaboration, and Leadership

What once took days and armies of analysts, AI can do in minutes.

Teams can tap into virtual audiences (or synthetic personas) to test messages and develop campaign hypotheses quickly and affordably. These techniques are also changing the game behind the scenes, with agencies using them to streamline business development and accelerate RFP workflows. Of course, care must be taken, especially when targeting niche or harder-to-reach audiences, to avoid misleading outputs or poor strategy based on bad data.

Creative production is also getting a tech-powered boost. AI tools can now generate brand-aligned visuals, edit videos, draft headlines, and even create compelling campaign concepts — all faster, cheaper, and at scale.

But here’s the catch: all this potential only matters if teams are equipped and empowered to use it.

That’s where leadership comes in. Communications leaders must play an active role in fostering a culture of innovation. That means encouraging experimentation, offering training, and helping teams develop fluency with AI tools. In today’s environment, AI isn’t just a productivity enhancer, it’s a strategic lever.

And as communications teams are increasingly expected to demonstrate measurable impact, AI is enabling a new era of outcomes-focused storytelling. From real-time analytics to advanced attribution modeling, we’re more strongly positioned to tie comms efforts to business outcomes in a way that makes sense to the C-suite.

Bottom Line: A Strategic Imperative, Not Just a Tool

AI isn’t just here to optimize how we write press releases or track media hits. It’s reshaping the very foundation of the communications function.

The leaders who will thrive in this new landscape are the ones who see AI not as a threat, but as a strategic enabler. By embracing AI capabilities across insights, content, issues management, and measurement, communications professionals can elevate their strategic value and align more closely with business goals.

The challenge is real, but so is the opportunity.

Now’s the time to lead with clarity, act with urgency, and build teams that are ready for what’s next.