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Article

Breaking Stigma: From Avoidance to Permission 

October 27, 2025
By Mike Sacks

In the world of reputation strategy, there’s an itch we’re all tempted to ignore, a scratchy tag inside the corporate sweater. Eventually, it demands our attention. 

Meet: Stigma. 

As corporate affairs counselors, we spend a lot of time on ‘Big R’ Reputation strategy. Reputations are based on distinctiveness from other organizations, and we work towards establishing that distance from competitors. Stigmatization, though, tends more to broad negative categorizations of sameness across a category.  

It’s a different beast—persistent and pervasive—requiring a deliberate approach often within an integrated communications strategy.  

The Four Horsemen of Category Stigma 

Before you throw up your hands (or reach for a rebrand), let’s diagnose the beast. There are obvious, and more extreme, examples of stigmatized industries: think tobacco or firearms. And there are more subtle forms that many organizations experience. 

Stigma clusters into four archetypes: 

  • Dated/Uncool: Brands seen as stuck in the past, with legacy formats or aesthetics that signal irrelevance. Coolness just doesn’t last the way it used to. It’s fickle, and today’s tapped in brand is tomorrow’s also-ran.
  • Low Status/Quality: Products or services assumed to be cheap or unreliable, imposing a “social cost” on their users. Customers expect regret. 
  • Declining/Irrelevant: Industries viewed as shrinking or obsolete, even when their offerings remain strong. They leave stakeholders, investors in particular, yawning. You’ve lost attention. 
  • Harmful/Unethical: Organizations perceived to exploit, mislead, or harm people or the planet. Of course, the most likely to trigger boycotts or regulatory scrutiny. What is considered harmful or unethical isn’t static either. Social norms have been recently fluid enough that the definition for this is broader than ever. 

These stigmas overlap or evolve from one to another over time, compounding the job to be done.  

The CCO’s Playbook 

Here’s the upside: stigma isn’t forever. Know your audience and root causes, then move fast and smart. The playbook is simple, but the execution requires creativity and discipline. Change the context, show your value and prove it again (and again). 

Our framework distills the process of mitigating and then overcoming stigma into two clear phases with five moves to make. 

Phase 1: Stabilize & Normalize 

1. Stabilize & Normalize. The first step is to reduce stigma’s visibility and reclaim credibility. Depending on the type of stigma, and context around your industry, it may require: 

  • Recoding: Update design, language and user experiences to reflect modern standards, for instance.  
  • Separating Misperceptions from New Realities: Marginalize bad-faith narratives by providing transparent, factual information and correcting errors swiftly. 
  • Proving Usefulness: Demonstrate real value to high-impact groups through case studies and endorsements. 

2. Build Endorsement & Embed Value. Once credibility is stabilized, the goal shifts to turning skeptics into advocates: 

  • Engage Skeptics: Invite scrutiny, share data openly, and provide regular updates. Transparency transforms critics into fair commentators. 
  • Anchor to Shared Public Goals: Show how the organization advances broader values like safety, access or affordability, supported by independent audits or partnerships. 
     

Stigma isn’t a permanent sentence.  

Breaking stigma isn’t easy, but it is possible. With the right framework—one grounded in collective action, transparency, a commitment to collective value, and maybe a bit of swagger—organizations can not only overcome negative labels but also unlock new pathways for impact and reputation. 

We’ll explore this concept more fully in the coming months and continue to unpack how stigma forms and hardens, the characteristics of stigma and its impact on stakeholders, and more ways to counteract or prevent it. 

Mike Sacks width= Mike Sacks leads FleishmanHillard’s corporate affairs practice in Chicago.

 
Article

Communications Is an ROI Multiplier for Global Sports Sponsorships

October 22, 2025

Few things unite the world in real time like sport. The Super Bowl, Olympic and Paralympic Games, and FIFA World Cup don’t just crown champions: they define reputations. For brands, these global moments are high-stakes arenas where trust, attention, and billions in sponsorship dollars are on the line.

The brands that truly win know that communications is the multiplier. They connect event moments to human stories — for employees, customers, partners, and communities — while protecting reputation under the brightest spotlight.

So what does putting communications at the center really mean? It starts with leadership alignment across the C-suite to operate in lockstep, from strategy and storytelling to scenario planning and real-time response. The most effective teams turn visibility into value and pressure into performance investors can measure.

In the latest USC Annenberg Sports Relevance Report, FleishmanHillard President and CEO J.J. Carter and Chief Client Officer Emily Frager explore how the new sports communications playbook must include:

  • A gameplay to help brands operate at “event speed” on the ground.
  • The blueprint for integrated, measurable, reputation-safe activations.
  • How to prepare for the upcoming calendar of record-breaking global tournaments

Click the image below to read the full USC Sports Report to see how brands are turning attention into trust, and participation into performance or visit USC Annenberg’s site here.

Article

Don’t Blame Users, Equip Them: A Smarter Approach to Cybersecurity

October 21, 2025
By Scott Radcliffe

There has never been a more challenging time to be a user on a corporate network. Ransomware and extortion gangs are now billion-dollar businesses built in part by targeting individuals—sometimes even highly privileged users—to steal corporate data. Now, with a big assist from AI, barriers to entry have flattened and cybercriminals have gotten even better at targeting and tricking people into giving them sensitive data.

Why cybersecurity employee awareness matters

It can be easy for organizations to feel like the answer is bigger, better and more agile technical defensive solutions. While those are essential and have adapted at a staggering rate, they are not enough due in part to the defender’s use of AI. Almost as important is recognizing that technical solutions alone are insufficient. Engaging corporate users (employees) more effectively may require not just new tools, but a change in outlook as well as approach.

As attackers seek more effective and creative ways to bypass technical defenses, often by tricking users, we need to update our approach to helping organizations fight back.

Limitations of periodic cybersecurity trainings

Study after study shows pretty clearly that the old approach to employee cybersecurity education and training just isn’t working. Worse, a healthy dose of fatalism can creep into the mindset of security teams. This thinking resigns them to the notion that user mistakes are generally unavoidable. Collectively throwing up our hands and giving up isn’t an option. It’s time to think more creatively about employee cybersecurity education and training. While the substance of training is important, organizations often focus so much on what information needs to be shared that they neglect to consider how to effectively engage their intended audience.

Making users click through a cybersecurity awareness training session once a year, then testing them at the end or with simulated phishing exercises, isn’t good enough. We should view cybersecurity training and education for employees not as a singular task, but as a communications campaign that requires design and delivery to maximize stakeholder retention of its key messages. That means more frequent, concise and engaging initiatives, rooted in insights specific to your organization, tailored to unique audiences and delivered across multiple platforms.

Empowering employees for better cybersecurity outcomes

Designing your security with the understanding that compromised user accounts are frequently the way threat actors breach corporate environments isn’t the same as treating user security risk like it’s a hopeless problem. This issue is too important, especially now, to view any other way. It’s a collective responsibility, one that leverages the skills and expertise from across the organization to help mitigate a core source of organizational risk.

Bottom line: Humans aren’t perfect, and they’ll continue to make mistakes. Bad actors will continue to be creative, tricking a platform provider’s helpdesk to give them access to customer data or offering corporate users a cut of any ransom to extort from the user’s employer, or in any number of other ways.

It’s time to find better ways to arm users with the knowledge they’ll need to fight back.

Opportunities exist to help organizations plan and execute a strategic approach to cybersecurity education so that employees cannot only access but also retain the right information.

To learn more, contact [email protected] or [email protected]

Scott Radcliffe width= Scott Radcliffe is FleishmanHillard’s global director of cybersecurity, leading the firm’s Cybersecurity Center of Excellence and advising clients on rising cyber risks. He recently rejoined FH from Apple, where he led cybersecurity communications and previously served as the agency’s senior global data privacy and security expert.

 
Article

Augmented Judgment, Accelerated Execution: AI’s Role in Crisis, Issues and Risk Management

October 14, 2025
By Matt Rose and Alexander Lyall

Everyone’s talking about the promise of artificial intelligence. For crisis, issues and risk managers, that promise isn’t theoretical anymore. It’s already changing the game. The speed, scale and complexity of today’s challenges demand more than human effort alone. We need tools that sharpen judgment, spot risks sooner, simulate outcomes and move faster than we ever could on our own.

At FleishmanHillard, we call this Augmented Judgment, Accelerated Execution. It’s the balance of seasoned, human counsel with the foresight, scale and speed of AI. When used well, AI doesn’t replace human judgment, it strengthens it. AI compresses timelines, expands context, flags risks earlier and gives leaders the clarity they need under pressure.

Here’s how we’re putting this advantage into practice at FleishmanHillard, using trusted frameworks and strong data governance to help clients address crises, issues and risk with confidence.

AI for Early Warning

AI is becoming an essential early warning system. It examines global news, regulatory updates, and social activity to detect emerging topics and weak signals before they escalate. By analyzing conversations across markets, languages, and, it connects jurisdictions patterns that siloed teams might miss, with speed and breadth that today’s lean human teams cannot match.

It can also track how issues are likely to evolve and flag pressure points like upcoming regulations, activist campaigns, or viral moments. In addition, it can be pointed to anticipate when separate concerns may converge, adding complexity to timing, messaging, audience response and stakeholder engagement. This kind of foresight helps leaders act early, communicate clearly and stay ahead before critical moments hit.

AI for Stakeholder Simulation

Spotting a potential issue is one thing. Understanding how different audiences might respond is the next. Employees may question values. Regulators may focus on compliance. Investors may worry about financial impact. Customers may be concerned about reliability.

AI helps make this analysis possible through FleishmanHillard’s SAGE Synthetic Audiences. These simulations, built on polling data, demographics, and behavioral insights, let teams pressure-test messaging in real time.

AI can also model how a story might spread. Coverage could draw regulatory attention, spark activism, or open the door for competitors. With this foresight, teams can weigh options early, decide how to respond, and plan outreach in the right order.

AI for Story Forecasting

Reporters rarely work in isolation. Their previous stories, tone, and interview style often foreshadow how a new piece might unfold. AI can analyze this public data to forecast likely narratives, giving teams time to scenario-plan and prepare fact-based responses.

In one recent case, the FleishmanHillard team leveraged AI to generate a full-length draft of a potential investigative article based on a reporter’s in-depth inquiry, their past work, and facts they were likely to uncover. The projection closely matched the final story, serving as a clear model for the client and FH counselors to work against and affording weeks to prepare. Together, they aligned messaging, cleared responses and rehearsed scenarios. When the article ran, the team responded with focus and confidence, avoiding both unwanted attention and business disruption.

Click Above for More From the FleishmanHillard Crisis Team

AI for Crisis Content Management

Crisis response is rarely just one statement. It quickly becomes a growing stack of analytics and materials: standby statements, employee letters, investor scripts, customer updates, government briefings, media talking points, FAQs and social posts. Managing it all can become chaotic, especially with lengthy approval chains.

AI tools like FH Crisis Navigator help bring order. Acting as a virtual program manager, it adapts approved language for different audiences with speed and consistency. Using this tool, a crisis counselor can generate drafts, maintain version control, and keep updates aligned across every document. This reduces drift, speeds up approvals, embeds expert counsel, and keeps teams focused. So, when leadership needs to respond – whether to investors, regulators, customers, or the public – everything is already in place and ready for review.

AI for Scenario-Based Training

Preparation has always been essential to crisis readiness. But traditional tabletop exercises often fall short of real-world complexity. AI-powered platforms like the FleishmanHillard Crisis Simulation Lab raise the bar. Run by experienced facilitators, these simulations evolve in real time based on participant decisions. They introduce realistic challenges like media calls, stakeholder emails and viral posts, all tailored to the organization’s sector and geography.

Simulations can launch in hours instead of weeks, making them useful for both training and real-time strategy support. Structured feedback focuses on fact management, stakeholder engagement, and adaptability – building the muscle memory teams need when reputations are on the line.

AI for Campaign Risk Screening

Crises don’t always come from the outside. Sometimes a product launch, influencer partnership, or purpose-driven campaign can spark backlash, trigger scrutiny, or misfire in a volatile moment.

FH Risk Radar helps teams assess these risks before campaigns go live. It reviews concepts against regulatory guidance, cultural signals, public sentiment, and platform-specific challenges. The system scores ideas across dimensions like reputational exposure, influencer fit, message durability, and cultural sensitivity. Instead of a simple go-or-no-go call, teams get a full risk profile and clear mitigation strategies. This shifts review from a late-stage checkpoint to a strategic advantage.

From Promise to Practice

For communicators, risk leaders, and executives, AI is no longer a future promise. It’s a working tool, a strategic coach, and a force multiplier available to improve outcomes now. It surfaces early warning signs, simulates reactions, forecasts narratives, manages complex content, powers training, and screens campaigns. It delivers sharper, faster options for decision makers when every move counts.

AI’s role in crisis and risk management will only grow more sophisticated. But the message today is simple: the technology is here and can be applied to create immediate value. The leaders who use it will be better prepared to protect reputation in high-stakes moments.

At FleishmanHillard, we’re applying these tools every day to help clients anticipate challenges, navigate uncertainty, and emerge stronger. At the heart of it is Augmented Judgment, Accelerated Execution – the combination of trusted human counsel and the structured speed of AI. Together, they help organizations make better decisions, faster.

Crisis Team width=

Matt Rose (top) – Americas Lead for Crisis, Issues & Risk Management: Matt is an SVP & Senior Partner in New York with more than 30 years’ experience in advising organizations on crisis and issues management, risk mitigation, and reputation recovery. He has guided companies through reputational crises, labor issues, regulatory challenges, ESG controversies, and high-profile litigation.
Alex Lyall – Lead, Risk Management, AI & Innovation: Alex is an SVP & Partner in New York with more than 15 years of experience in crisis communications, issues management, preparedness, and risk management, working across industries. As part of the leadership team, Alex will help define best practices, shape go-to-market strategies, and scales solutions, with a focus on AI integration and talent development.
 

FH Guidelines for AI in Crisis, Issues, and Risk Management Applications

At FleishmanHillard, we apply artificial intelligence with purpose, not hype. In crisis, issues, and risk management, that means combining human expertise and experience with proven frameworks, proprietary technology, necessary confidentiality, and responsible guardrails to help organizations respond with speed, confidence, and control.
During a crisis, there is no substitute for seasoned judgment. AI can surface information, suggest language, or model scenarios, but it cannot navigate the nuance of legal implications, stakeholder dynamics, or reputational risk in real time. That takes seasoned counselors who have sat in the room, weighed the tradeoffs, and led under pressure. When the stakes are high, experience is not just helpful, it is essential.
That is why each FleishmanHillard application of AI in the Crisis, Issues and Risk Management Practice is anchored in three principles:
  • Experienced crisis counselors remain at the center of each use case, ensuring that technology enhances but never replaces human judgment.
  • Our systems are designed in secure, quality-assured environments that safeguard client information and uphold rigorous ethical standards.
  • AI is embedded within tested frameworks and workflows, allowing teams to move faster without sacrificing accuracy, accountability, or trust.
This disciplined approach ensures AI strengthens decision-making rather than creating new risks. With FleishmanHillard, organizations embrace innovation in crisis, issues, and risk management with confidence, knowing that innovation never comes at the expense of accuracy, ethics, or trust.

 

 
Article

From Transaction to Trust: Moving Beyond DTC in Health Communications

October 6, 2025
By Barry Sudbeck and Laura Musgrave

In the strategic evolution of health communications, patient advocacy and engagement are emerging as the essential successor to legacy promotional efforts, such as marketing, advertising and sales-focused communications. This shift is driven by new regulatory pressures on direct-to-consumer (DTC) promotion in the United States and a broader global movement toward patient-centered care.

As the FDA signals aggressive enforcement against imbalanced or misleading promotion, the limitations of one-way mass media campaigns have become apparent. The industry now faces a critical mandate: to develop communication strategies that are not only compliant and transparent but also define a powerful new paradigm for connecting with customers. Building genuine, authentic patient relationships is emerging as the most powerful way for the industry to realize this goal.

This new approach fundamentally reframes patient outreach as a driver of long-term corporate reputation and trust, not merely as an alternative marketing channel. And the solution lies within an asset most companies already possess: their patient engagement teams. With an approach that is rooted in listening, two-way exchange, and building credible relationships, these teams are uniquely positioned to lead this change. Their work moves beyond the conventional one-way flow of information; it is about establishing a sustained presence within patient communities, understanding their real-world needs and co-creating resources that provide tangible value. This is how enduring trust – the most valuable asset of all – is built.

Successfully navigating this path requires adherence to core principles that separate authentic engagement from promotion. To ensure credibility, full transparency in all communications, sponsorships, and partnerships is required to protect the integrity of both the company and its patient partners. Furthermore, all information must be rigorously evidence-based and balanced, presenting both benefits and risks with equal clarity. Finally, every interaction must honor patient autonomy by equipping them with knowledge for shared decision-making, rather than steering them toward a commercial objective.

Our current body of research is being augmented by fresh evidence and real-world examples. A white paper summarizing these findings will follow soon.

This evolution from transactional promotion to long-term engagement is not a passing trend. For companies willing to lead, it is a profound strategic opportunity to redefine their role from a vendor of products to a true partner in patient health. Patient engagement is becoming the defining standard for credible health communication, now and in the future.

Article

Why Global Agencies Must Rewire for the New Era

October 1, 2025
By J.J. Carter

One year into my role as President & CEO at FleishmanHillard, one truth stands out: global agencies stand at a crossroads.  Over the past 12 months, I’ve traveled to dozens of offices worldwide, listened to our teams, and met with nearly 200 clients. I’ve seen firsthand the extraordinary energy of our firm thriving in this moment of complexity and consequence.

When a client faces a reputational crisis that spans continents, creates an entirely new category, or launches a breakthrough product across multiple markets, they turn to us. Global agencies excel at orchestration, diversity of perspectives, and resilience under pressure.

But legacy strengths alone are not enough. Being the biggest does not secure relevance, and ubiquity matters less than deep sector expertise. The world is moving at a pace that demands more than incremental change. Tectonic shifts in business, technology, and society are accelerating — audiences are fragmented, channels more abundant, and trust more fragile.

Modern Comms Strategy

To remain indispensable, we must rethink our operating system: how we deliver value, how we scale, and how we measure success. This transformation rests on three primary disruptions:

1. Retiring the Billable Hour 

The traditional agency model—built on billable hours and incremental outputs—is no longer fit for purpose. Clients value impact more than activity, and today’s challenges require more than time alone — they require tools, technology, knowledge, and multidisciplinary teams. Every assignment demands a diverse set of skills working in harmony. Treating every hour as interchangeable devalues expertise and drags everyone into a race to the bottom. We must build commercial models that reflect true value, and it requires partnership between agency and client to do so. 

2. Fusion of Tech + Talent 

AI and digital tools are raising the baseline for what’s possible in research, insights, and content. But technology isn’t our differentiator. The future belongs to communicators who can interpret complex signals, counsel clients, and craft narratives with dexterity. At FleishmanHillard, we’ve launched the largest upskilling effort in our 80-year history, embedded AI into our processes, and empowered every team member to be both a technologist and a trusted advisor. This fusion of tech and talent is what enables us to deliver ideas and impact at the speed of 2025 and beyond. 

3. Specialism at Scale

Clients today face challenges that are simultaneously local and global, technical and political. They need partners with deep expertise in the most complex issues of our time — from geopolitics to trade disruptions, from climate regulation to cybersecurity — delivered with the consistency of a worldwide network.

When a company is caught in a geopolitical dispute, it requires communications expertise that spans diplomacy, trade, and reputation management. When a global brand navigates climate regulation across multiple jurisdictions, it needs advisors fluent in sustainability standards and energy transition. When supply chains fracture under trade pressures, businesses demand counsel that blends economic insight with real-time public affairs.

That is why we are evolving our model to integrate high-value specialisms within a seamless global structure. From guiding corporate leaders through high-stakes transformations, to helping brands drive sales through new market segments or leveraging global platforms like the FIFA World Cup or the Olympic Games to prove brand value— our expertise is designed around the industries and capabilities that will shape our clients’ futures.

This focus on specialism is not only about delivering sharper insights — it is about building resilience. We deliver the precision of a boutique, with the strength and stability of a global consultancy.

Act now to define what endures

The year ahead will not reward those who wait. It will reward those bold enough to redefine value, blend human judgment with technology, and bring specialist insight to a global stage. This is more than an inflection point for agencies — it is a proving ground for the role of communications in business and society.

Those who rise to the moment will not only shape what comes next, but what endures. They will define how markets evolve, how reputations are built, and how trust is sustained for decades to come. At FleishmanHillard, we embrace that responsibility — and we are determined to seize the opportunity to lead. 

Here’s to the next 365…

J.J. Cartner width= J.J. Carter is President and Chief Executive Officer of FleishmanHillard.

Read More From J.J.: To Break Through, You Have to Earn It

 
Article

5 AI Risks Every Company Should Be Aware of – and What to Do about Them 

September 24, 2025
By Zack Kavanaugh

AI is accelerating, but its promise is falling behind.  

The tools are multiplying, but only 1% of organizations consider their AI efforts “mature” – and 95% of generative AI pilots are failing.  

Why? Because transformation is a people challenge, not just a tech race. 

This piece surfaces five often-overlooked risks that quietly stall progress – each one rooted not in code, but in communication. Breakdowns in clarity, coordination and leadership commitment continue to limit adoption and erode trust. 

And yet, these are exactly the areas where strategic communication plays a pivotal role – helping organizations course-correct, contain risk and unlock the value AI is meant to deliver. 

For leaders ready to close the gap, here’s where to focus next. 

1. The AI Narrative Isn’t Moving as Fast as Tech  

What’s happening: AI rollout is rolling out fast, but most employees remain unclear on what it means for their work. 

Why it matters: Multiple reports show that companies are investing in AI tools faster than they’re training teams or communicating the impact. The result? Employees feel left behind, unsure where they fit in or how to contribute. 

What to do: Communications should partner with L&D and AI enablement teams to build a clear, role-relevant narrative that connects AI to everyday work. That means going beyond the “what” and “why” to include practical, team-specific examples – and showing what good AI use actually looks like. Managers play a crucial role here and should be equipped to reinforce these messages in regular team settings. 

2. Shadow AI Is Outpacing Governance 

What’s happening: Employees are quietly using unapproved AI tools to stay productive – often because sanctioned options aren’t accessible, intuitive or well-communicated. 

Why it matters: Recent research shows that over half of employees using AI at work are doing so under the radar. Only 47% have received any training, 56% have made mistakes due to misuse and nearly half say they’ve gotten no guidance at all. That creates risk – for the business, the brand and the people trying to do the right thing without clear support. 

What to do: Communications should partner with IT, HR and Compliance to promote trusted tools, clarify what’s allowed and explain why governance matters. Use short, human-centered scenarios that help people understand tradeoffs and risks. Managers should be given clear guidance on how to check in with their teams and normalize asking, “What tools are you using and why?” 

3. People Assume AI Replaces Judgment – So They Stop Using Theirs 

What’s happening: Without the right framing and support, employees may treat AI output as the final answer – not a starting point for critical thinking, refinement or discussion. 

Why it matters: A recent MIT/Wharton study found that while AI boosts performance in creative tasks, workers reported feeling less engaged and motivated when switching back to tasks without it – suggesting that over-reliance on AI can dull ownership and reduce the sense of meaning in work. 

What to do: Communications and L&D teams should align around positioning AI as a co-pilot, not a decision-maker. Messaging should emphasize the value of human input – especially in work that shapes brand, strategy or outcomes that may pose ethical dilemmas. Training should encourage questions like: 

  • “Would I feel confident putting my name on this?” 
  • “Where does this need my voice, perspective or context?” 

By reinforcing the expectation that employees think with AI – not defer to it – organizations can strengthen decision quality, protect brand integrity and keep teams connected to the meaning in their work. 

4. The Organization Is Focused on Activity, Not Maturity 

What’s happening: Many organizations are tracking AI usage – but not its strategic impact. The focus is on activity (how often AI is used), rather than maturity (how well it’s embedded in high-value work). 

Why it matters: According to a Boston Consulting Group survey, 74% of companies struggle to achieve and scale the value of AI – with only a small fraction successfully integrating it into core, high-impact functions. Without a clearer picture of what good looks like, AI efforts risk stalling at the surface. 

What to do: Communications teams should partner with AI program leads to define and share an AI maturity journey – through narrative snapshots, team showcases or dashboard insights that reflect depth, not just breadth. Highlight moments where AI has meaningfully shifted workflows, improved decision-making, unlocked new capabilities or resulted in notable client or business wins. And celebrate progress in stages – from experimentation to strategic integration to measurable ROI – to help the organization see not just what’s happening, but how far it’s come. 

5. Leaders Aren’t Framing the Change – or Making It Visible 

What’s happening: Many leaders say they support AI – but too few are actively learning, using or communicating about it. When leaders aren’t visibly experimenting or sharing what they’re discovering, employees are left to wonder if the change is important or safe to engage with themselves. 

Why it matters: According to Axios, while a quarter of leaders say their AI rollout has been effective, only 11% of employees agree. That’s not just an implementation gap – it’s a trust gap. And the root cause isn’t technical. It’s about clarity, consistency and whether people feel the change is relevant, credible and real. 

What to do: Communications teams should make it easy for leaders to show up – not just with bold vision, but with curiosity and candor. Encourage short, human signals: what they’re trying, what surprised them, what didn’t work. Share safe-fail stories. Invite open conversations. When leaders model vulnerability and visible learning, they normalize experimentation – and create the cultural conditions that AI adoption actually needs to take root. 

Making AI Real – and Communicating What Matters Most 

These risks don’t stem from infrastructure or algorithms – they come from gaps in alignment, communication and visible leadership. And they escalate when left unspoken. 

In the first article of this AI adoption series, we made the case for a people-first approach to AI. In our second article, we unpacked the psychology of hesitation, showing how quiet friction, not overt pushback, is what most often stalls momentum. 

Our hope is that this third piece has connected the dots: Communications may not own every risk – but it’s essential to identifying, navigating and de-escalating them. 

The bottom line: Technology may spark change, but it’s clarity, trust and visible leadership that make it real. FleishmanHillard partners with organizations worldwide to align ambition and action, helping clients avoid pitfalls, contain risk and realize full value of AI. As the pace accelerates, that human advantage will be the ultimate differentiator. 

Article

A Look At Our Most Powerful AI Ingredient: People

September 2, 2025
By Ephraim Cohen

(Disclosure: Omni-based AI assistance in research and writing)

Amid the rush to brand every new dashboard, tracker or AI-powered package as a transformative solution, we’re making a different kind of bet. We’re betting boldly not on training people, but people as our transformative solution. It’s a bet we believe every communications professional should make.

To put a point on it: we can empower people with AI solutions for their clients. Or we can empower people to create the right AI solution for their client.

We’re going with the latter.

To be clear, people are the differentiated ingredient in data and AI powered solutions. We take communications professional—someone with expertise in communicating with stakeholders in various scenarios such as product launches or crisis situations – and add AI design skills. We then equip them with an industry leading audience and media data sets, institutional knowledge digitized into knowledge libraries, and the full range of AI models.

This philosophy drives our strategy behind FH Fusion, FleishmanHillard’s approach to enabling every single professional to architect and build intelligent, agentic AI solutions. The result: communications teams aren’t just using AI and data via Omnicom’s Omni platform, they are hands-on-keyboard designing the specific, outcome-oriented solution customized or created for each client.

Communications Subject Matter Expertise Remains the Difference Maker

There’s a crucial difference between communications expertise and subject matter expertise for communications. And for years, our industry has focused on communications expertise –reputation management, message development, narrative framing, media strategy and other areas. We’ve also long had teams with subject matter expertise in specific industries or stakeholder groups, not unsimilar to what a general industry or audience analyst might bring to the table.

Now, Communicators’ subject matter expertise can be the difference maker in developing effective solutions. Whether navigating healthcare regulations, global governance trends or financial disclosures, clients need more than storytelling. Combine that fluency with AI and data, and those very same counselors can create and continually improve powerful AI agents well versed in the knowledge and nuance of specific industries and scenarios. However, applying expertise to AI Agent development is only the start.

Pairing Expertise with Data Fluency (data sets and knowledge bases)

By adding data fluency and data resources, those same subject matter experts can greatly increase the precision and impact of their AI solutions. And what is data fluency?The ability to draw insights from diverse and often complex sources, including audience and media, corporate data sets, historical and best practice knowledge files, and synthetic data modeled from trends and behavior patterns.

Knowing how to find, interpret and apply these data types is no longer an additive skill, in the last few years we’ve made it core to being an effective counselor in the tomorrow world rapidly developing today. Now, we’re making it core to being an effective counselor and core to that counselor creating powerful AI agents and AI solutions.

Combining human expertise, AI and data fluency and data and AI tools into solutions.

The next evolution lies in knowing how to translate subject matter expertise and data fluency into intelligent systems, namely, agentic AI solutions. We’re not talking about programming or machine learning algorithms. We’re talking about training agents the same way we train teams: instilling expertise, data-driven insights, institutional knowledge, governance frameworks and strategic logic.

A few starting examples of what FH professionals are already building:

  • Replicate and scale their methods in risk and reputation management
  • Continuously learn from new inputs
  • Automate time-consuming workflows (while increasing quality)
  • Rapidly synthesize information to support better counsel and smarter decision-making in real-time

But these agents don’t come off a shelf. They’re built by people who understand what to teach them, understand the details, nuances and overall environments of the audiences and industries for which they are designing, and, as a result, how to deploy them in a way that ensures quality in the output of the AI solution.

Redefining Excellence in Communications

What was once considered top-tier communications expertise has evolved. Today’s standard is subject matter excellence for communications, paired with the fluency to interpret data and the capability to build AI-powered systems that scale our best thinking.

Because in a world moving faster every day, the value isn’t just in having expertise. It’s in knowing how to build with it.

Up Next …

And like any good movie, this is a bit of a post-credit teaser. What does this all mean for the next generation of communicators? In our upcoming posts, we’ll explore the emerging roles we believe agencies and clients alike will need—from solutions teams to knowledge librarians, cultural anthropologists and even art historians.

Stay tuned.

Article

Elevating Cybersecurity Messaging After Black Hat 2025

August 27, 2025
By Miranda Sanders

Las Vegas was sweltering for Black Hat 2025, and so were the conversations on the show floor. AI led to much of the discussion as both a powerful tool for defense and a fresh attack vector. For example, there was news on major advances in cloud and endpoint security and rising concern among experts about rising supply chain and infrastructure-targeted threats.

But what stood out to us this year wasn’t just the tech. It was how the conversation around security itself is evolving, raising the bar for communicators everywhere.

The news isn’t gone. It’s just different.

If you felt this year’s coverage was somewhat muted, you’re not alone. Gone are the days when Black Hat was the moment, a guaranteed headline in every tier-one business publication. Instead, the coverage that mattered most came from a handful of reporters, probably with deep, longstanding relationships in the Cyber space. Those publications included The Verge, VentureBeat, Wired, ZDNet or Network World. These reporters already have a clear understanding of a brand’s enterprise security business strategy. They can dive deep to better understand the industry implications from product news, from Google’s move towards better supply chain security, to SentinelOne’s managed services expansion, Microsoft’s “Project Sentinel AI”, Cisco’s quantum-resilient encryption and more.

The threat intel has hit home.

Five years ago, a single research report could dominate the news cycle, with dozens of stories written by security media during Black Hat. Now it takes more. The bar is higher, and editors want hard evidence that connects to real-world risk.

Outlets like Reuters and Bloomberg focused on threats with tangible implications for infrastructure and public safety. For example, Reuters covered activity around APT41 and Iranian cyber espionage. At the same time, Politico discussed the news’ geopolitical implications and potential policy responses.

Bloomberg reported on credible threats to electrical grids and potential impacts on critical infrastructure. The common theme? If threat intelligence impacts – or has a real, credible threat to impact – people’s lives, then it’s worth covering.

Former NYT reporter Nicole Perlroth’s keynote put it bluntly: the human impact of cyber risk is no longer hypothetical. It is today’s reality, and it’s only going to get more devastating. For communicators, translating technical findings into stories about people and policy is now essential.

Reporters want to experience, not just observe.

Several reporters on site said that the things they enjoyed most this year were moments set up by brands where they could place themselves in the shoes of security professionals on the front line of today’s biggest threats – whether during panels, sessions or dedicated private events. Several tier-one media outlets attended a Cisco Talos tabletop exercise. In this hour-long immersive session, they played a Dungeons and Dragons-like game to understand how an incident may play out in real life.

As communicators, prioritizing these immersive opportunities can turn complex topics into compelling stories.

What does this mean for security communicators?

If Black Hat was any indication, media are looking for clear, authoritative voices who can cut through the technical noise and connect security stories to business, policy and human impact. Here’s how to best do that for the most relevant themes we saw come out of Black Hat this year:

  • AI Dominance: Position spokespeople to discuss both the promise and risks of AI in cybersecurity, using clear, non-technical language.
  • Supply Chain Risk: Share concrete examples or data on how your organization addresses third-party and supply chain vulnerabilities.
  • Quantum Security: Media are looking for thought leadership and educational content if your brand is working on quantum-resilient security solutions.
  • Cloud & Zero Trust: Highlight practical business benefits of zero trust and cloud-native security in your messaging.
  • Critical Infrastructure & IoT: Prepare proactive statements around your efforts to protect critical infrastructure and IoT.
  • Real-World Impact: Emphasize how your solutions or research address current, active threats with clear, actionable outcomes.
  • Geopolitical Context: Be ready with expert commentary connecting cybersecurity developments to broader policy and international issues.

The pace of change in security and security communications isn’t going to slow down. As the landscape evolves, so does our approach to telling the stories that matter.

Stay tuned for more insights into security communications from us in the coming months.

Article

The Answer Engine Era Is Here

August 20, 2025
By Ellie Tuck

We are living through another fundamental shift in how people discover brands. But we’ve seen this pattern before: the move from analog to web, from search to social. Each time, the brands that adapted early gained lasting advantages. Now we are seeing the rise of LLM-powered answer engines and the emergence of Generative Engine Optimization (GEO), a strategy that leverages AI to optimize a brand’s visibility and reputation in answer engine results.

The numbers tell the story: over half of Google results now include a generative response. AI agents and chatbots are increasingly becoming the first stop for people seeking recommendations, advice or information. If your audience is already there and you are not auditing how your brand shows up, you are missing a critical piece of the discovery puzzle.

How we are navigating the shift

While the fundamentals of trust and quality content remain, GEO redefines how they are executed. Analysing tools like ChatGPT, Gemini and Perplexity shows that these models lean heavily on what is already in the public domain, especially high-trust, earned media sources.

In response, we have had to build custom tools to get under the hood of how a brand is being interpreted. These tools allow us to see where a client is showing up, how they are being described, and how that compares to others in their space.

This new landscape also demands a new level of precision from our creative campaigns. We are asking more specific questions. Is our messaging backed by the right expert validation? Is our content tailored for the types of media AI models trust? Is our phrasing distinctive enough to be picked up by both machines and people?

This is where creativity and technical precision now overlap. Our teams are building synthetic AI audiences to test ideas earlier and using our FH Fusion platform to assemble virtual focus groups that inform smarter, faster decision-making.

A practical framework for influence

Our approach is led by audience behavior. That has always been our starting point in PR, and it is no different in the world of AI.

To influence how LLMs respond, we focus on a few key levers:

  • Earned coverage in high-trust sources
  • Structured storytelling to make key messages clear
  • Cross-channel reinforcement of the right signals
  • Consistency, because LLMs rely on pattern recognition

This work is complex, and the environment is not static. But an adaptable, audience-led strategy puts us in the best position to succeed.

What this means for our industry

The implications are broad. Business leaders need to get smart about how these models make decisions, guided by real data, not guesswork. Answer engine visibility should become a core KPI, not just for communications teams, but for growth.

But reputational risk is a major factor. We are already seeing AI tools surface outdated or outright false content about brands. Because what an LLM says feels factual to users, our role shifts from defending a single source of truth to shaping the entire ecosystem that AI learns from. This is nuanced work, but it is also where we can have the most significant impact.

No one has all the answers yet. The models are evolving, the sources they trust are shifting, and the tactics that work today may not work tomorrow. But the brands that start auditing their answer engine presence now will have a significant advantage over those who wait.

The communications industry has adapted to every major shift in how people consume information. This one is no different, except for the speed at which it is happening. The question is not whether your brand will need a GEO strategy; it is how quickly you can build one that works. We’ve adapted before, and we’ll do it again.

Ellie Tuck width= Ellie Tuck is the chief creative officer of the Americas based in New York.