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Article

CEOs Don’t Need to Pick a Side on AI. They Need to Explain Their Choices.

November 10, 2026
By Peter Verrengia

Should CEOs speak out about the big-picture controversies and anticipated consequences of AI? Corporate leaders and advisors who haven’t asked themselves this question should consider it now.

Polling, ballot measures and campaign messaging in the recent US midterm elections all pointed to voter concern about the effects of the AI technology and the infrastructure behind it. Leaders should plan for an environment in which scrutiny of their organization’s role in AI’s economic and social costs and impacts will increase.

You may be thinking, if we aren’t building frontier models or data centers, why should we even get near this topic? However, across industries, companies are investing billions in AI tools and services and putting them to work in their operations. A CEO who has approved a major investment in AI has already made a consequential choice and contributed directly to the growth of the technology and its effects.

In a company, those choices can affect jobs, energy use, product development and customer experience, business growth, and many other outcomes. Their consequences, cumulatively across thousands of companies, reach into the economy, society, and according to some experts, the future of humanity. Millions of people—and policy makers who represent their interests— are paying attention. CEOs who are making consequential decisions about AI cannot credibly treat those consequences as “not my concern.”

So, the question is not simply whether to enter the AI debate. It is how to explain what the company is doing, why it is doing it and acknowledging who may benefit or be affected, and how.

That does not mean every CEO must take a public position on AI’s ultimate future—or weigh in on every argument about its risks and benefits. But leaders who are making significant AI decisions, or commenting to investors about AI’s benefits, or who have attributed layoffs to the impact of AI, should be prepared to engage further. The scale of the decisions and the impact on people who are affected should help determine whether a leader’s further discussion about AI belongs in a public setting, an employee discussion, a customer conversation, or an investor meeting.

Engagement on this topic, like many others, is not risk free. CEOs have good reason to be careful about entering contested, evolving debates. A position detached from business objectives, operating conditions, company values or stakeholder interests can create more heat than light. Yet silence on a company’s own consequential decisions can also look like evasion. Accountability does not guarantee agreement, but it does give a leader a defensible reason to speak. A leader who speaks up before being forced to do so will be more credible than one who only answers questions reactively, on defense.

What should leaders be ready to address? Five subjects offer a practical starting point:

The business case. What value does the company expect AI to create? What investments, costs and uncertainties accompany it? Separate expected benefits from demonstrated results.

The operating footprint. How might AI affect supply chains, infrastructure, energy needs and reliance on vendors? These are corporate choices with broader economic implications.

Employees and work. Which tasks and roles may change? How will the company approach training, consultation and transitions? Productivity claims deserve candor about who experiences disruption and who shares the gains.

Customers and products. Where might AI shape products, services or decisions affecting customers? What boundaries and human oversight will apply? If an AI-supported outcome is wrong, how can it be challenged and corrected?

Oversight and safety. Who is accountable for deployment? How are systems monitored, and who can pause them? What remains uncertain, and how will the company respond if harm occurs?

Human judgment is an important element across all five subjects and every leader should address it. AI tools may help people be more productive, process more information, and generate more options. But leaders need to explain which decisions remain with people, who can override a system, and who is accountable when its outputs cause harm. Human expertise, creativity in unfamiliar conditions, relationships and resource decisions remain central to responsible deployment. The technology is a tool; people and the institutions they lead remain responsible for how it is used.

Before speaking, leaders need a clear view of what the company is doing, what it will not do, and who is accountable. Preparing to speak about AI may reveal choices the organization has not yet made and actions that need to be taken, before communicating. In that case, the first job is not to find reassuring language. It is to resolve the underlying issue—or accurately explain what remains unresolved.

No CEO needs a complete answer to every broad question about AI. When an answer is not yet known, it is appropriate to explain how the company is organizing to find out: who is leading the effort, what evidence is being gathered, what guidelines are in force, and when the company expects to report back. Leaders can also choose how broadly to speak and whether to act individually or through an industry group.

AI is not a debate happening somewhere else. Businesses are making significant investment and deployment decisions, with consequences for employees, customers, investors, and the wider economy. The more consequential those decisions—and the more a company has made claims about their benefits—the stronger the case for explaining them.

CEOs do not need to settle the debate about AI’s future. They do need to explain the choices they control, acknowledge the trade-offs, and accept responsibility for the results.

Peter Verrengia width= Peter Verrengia is a President and Senior Partner, advising clients worldwide on complex reputation and communications challenges, including crises, recovery, issue management and executive credibility. He helps multinational organizations in healthcare, technology, manufacturing, consumer products, financial and professional services protect reputations, navigate litigation and regulatory risks, and manage transactions, CEO transitions, transformation and market entry. He is a member of FleishmanHIllard’s Global Executive Advisory.

 
Article

Changemakers Are Changing the Conversation

November 5, 2026
By Jim Joseph

The Young Change Makers is an impressive PRovoke Media program recognizing diverse, emerging leaders and next-generation voices in public relations and communications. I had the pleasure of meeting them and hearing them speak at the PRovoke Global Summit in Chicago.

Their session stood out because it brought the experiences of young talent into sharper focus. Not as a single story, but as a range of perspectives shaped by different backgrounds, identities and paths into the industry. What they shared points to practical questions for all of us: Who feels comfortable contributing? Are we making space for people to be seen and heard? Do our teams reflect the world in which we work?

Young Changemakers
Jim Joseph and Young Changemaker Amira Williams (center) with the FleishmanHillard Team at the PRovoke Media Global Summit.

Make space for people to contribute

One Change Maker shared that she does not always feel comfortable speaking up in meetings. Rooms, whether virtual or physical, are often filled with people who are more senior and have more experience. It can be hard to find a way in, especially for introverts who may not fit the stereotype of someone drawn to communications.

As senior leaders, it’s actually OUR job, not theirs, to make young talent feel comfortable contributing equally in teams and meetings. We need to give them the space and permission to participate and be seen. That is how people become part of the conversation, not just present in the room.

Keep people at the center

With volatility in the marketplace and constant demands on teams, it is easy to let deadlines, deliverables and day-to-day operations take over. But results depend on whether teams feel cared for, supported and safe enough to do their best. That deserves a daily reset.

Embrace diverse perspectives

The Change Makers program is founded on diversity, and I was enthralled by their perspectives. Their experiences are shaped by forces that may differ from those that shaped earlier generations. They aren’t always linear, and they don’t fit one template. That is not a complication to work around. It is a perspective the industry needs.

As the Change Makers made clear, we have to reflect those diverse experiences in how we build our teams. Otherwise, we can’t create client initiatives that reflect the world in which we operate or programs that will be successful. Well said.

I walked away from the Change Makers session a changed leader. Even after all these years, it feels so darn good to be the beneficiary of reverse mentorship. Thank you, Change Makers. I really learned something that day.

Jim Joseph width= Jim Joseph is FleishmanHillard’s global head of brand impact, responsible for leading global brand business across B2B, B2C and B2G audiences, leveraging communications to enable commerce and business outcomes for the agency’s clients. He is a member of FleishmanHIllard’s Global Executive Advisory.

 
Article

Live From New York: It’s the New Front Door To Care

October 28, 2026
By Sarah DaVanzo

How Creators, Search and AI Are Changing the Patient Journey

At the American Diabetes Association’s State of Diabetes: NYC, FleishmanHillard hosted a Featured Perspective, “The New Front Door to Care: How Creators, Search and AI Are Changing the Patient Journey.” Moderated by Maura Bergen, the conversation with Sarah DaVanzo, Leslie Godlewski and Mary Kosinski explored how healthcare organizations can help patients find trusted information in an evolving digital world.

A patient might recognize their own experience in a creator’s story, search for treatment information and ask an AI tool what to discuss with a doctor. After the appointment, that patient may return to those same sources with questions about cost, coverage or daily life.

Care’s new front door is wherever people begin seeking answers.

From Left to Right: Maura Bergen, Sarah DaVanzo, Leslie Godlewski and Mary Kosinski at the American Diabetes Association State of Diabetes NYC.

For health and life sciences marketing and communications leaders, the opportunity is to connect those moments so discovery leads to understanding and understanding supports an appropriate next step.

This requires planning for the questions people carry between channels and the answers they encounter throughout their journey. Communications should help patients, healthcare professionals and caregivers make sense of information across touchpoints.

Follow the Questions Through the Whole Journey

Maura Bergen, Global Managing Director, Health & Life Sciences, makes the communications challenge clear: “Understanding the information journey is only the beginning. We also have to translate what we learn into stories and messages people can understand, trust and act on.”

That translation starts with listening to the questions people actually bring.

A patient may be trying to afford a prescription. A healthcare professional may need to address a misconception. An employer may need to explain benefits. Payers and buyers have their own questions about evidence and coverage. Advocates can help identify whose needs and experiences are missing.

These audiences need a shared foundation of accurate information, expressed through messages and channels suited to their roles. Consistency should preserve the evidence and reinforce the narrative while making room for different questions.

Mary Kosinski, Global Managing Director, Health & Life Sciences, asks: “Are we taking into consideration not just the whole patient, but the whole environment that they’re operating in?” Her question connects communications to the conditions that shape the patient journey, including coverage, affordability, policy and care delivery. Clear information can help people navigate those conditions, but communications alone cannot remove the barriers.

Consider GLP-1 medicines. Someone may understand a treatment’s purpose yet struggle to find out whom to contact about access or what to ask their clinician. Map those moments of uncertainty, including what happens after a prescription. Identify the questions patients are likely to ask in their own words.

Bring access teams and patient voices into communications planning, including the development of FAQs, at each stage of the journey.

Healthcare professionals can also ask patients, “What have you learned or seen?” Acknowledging concerns and questions can help clinicians direct patients to appropriate, accurate resources.

Communications teams can support those conversations with clear explanations in natural language, visual aids and patient FAQs.

The information journey sits on both sides of the exam table.

Make Creator Credibility Part of the Journey

Creators can give health information a human context: what an experience feels like, which questions someone hesitated to ask and how daily life intersects with care. Their communities can also reveal concerns that formal messaging has overlooked.

“You cannot separate reputation from influence,” says Leslie Godlewski, Senior Vice President, Influencer Engagement. That principle should shape how organizations choose partners and define their contribution.

Look for relevance to the audience, transparency about relationships and care in distinguishing personal experience from clinical guidance. A clinician creator and a patient advocate bring different perspectives. Both can help people prepare for informed conversations with healthcare professionals.

Build partnerships around useful questions:

  • What might someone misunderstand?
  • Which information needs a source or qualification?
  • Where should the content direct someone for individual guidance?

Give creators clear evidence and boundaries while preserving the voice that makes their contribution meaningful.

For communications leaders, this means connecting creator strategy with patient education, earned media and access information. A compelling story should offer a path to reliable resources. Follow that path yourself: can someone move from recognizing an experience to finding an answer they understand, then to appropriate help?

Listen for feedback after publication, too. Audience questions should inform the next explanation, partnership or story.

FleishmanHillard American DIabetes Association
From Left to Right: Mary Kosinski, Leslie Godlewski, Maura Bergen and Sarah DaVanzo

Connect Search and AI with Trusted Sources

Search connects a person’s question with sources they can explore. AI features within search can also synthesize responses and link to supporting material. Communications teams should examine both the information people find and how it is represented in an answer.

AI is not only a front door. It can also act as a gatekeeper.

In January 2026, OpenAI reported that more than 230 million people globally were asking ChatGPT health and wellness questions each week. That scale underscores the importance of reliable information across the digital environment. Earned media can be part of that information infrastructure, alongside clinical evidence and organizational content.

Clinical evidence anchors the story. Independent reporting adds scrutiny and context. Responsible creators make information relatable.

Organizational content should provide clear explanations, data and visual aids across paid, owned, earned and shared channels. These channels have different roles, so planning should connect them.

Google’s guidance says established search practices, including helpful, reliable content, remain relevant to its AI features. For healthcare organizations, a practical starting point is accessible, clinically reviewed information that answers real questions, identifies its evidence and shows when it was updated.

Assess linked pages as carefully as search results. Does a promising link lead to useful information? Can someone find the answer to a practical question? Someone looking for coverage help should be able to identify the right service without interpreting an organization chart. The strategic task is to make credible information easier to discover and use. Give search, social, earned media and medical colleagues shared audience priorities, with clear responsibility for maintaining the information people depend on.

Measure What People Can Do Next

To audit your front door to care, start with 50 anonymized questions gathered from patient services, healthcare professionals and community listening. Examine search results and responses from tools such as ChatGPT, Gemini, Claude and Perplexity. Record the date, sources cited, missing context, misleading claims and unclear next steps. Repeat the exercise to assess consistency.

I recommend establishing an AI Answer Stewardship team or task force that brings together communications, medical, regulatory, access and digital expertise. Its role is to improve the accuracy and accessibility of information within the organization’s control, not to govern third-party AI outputs. Assign owners to material information gaps, update source content and recheck it after significant changes to evidence or coverage.

Measure understanding alongside visibility. Can patients prepare better questions? Can employees locate benefits information? Can healthcare professionals find useful resources to support a conversation? Test these outcomes with the intended audiences.

Share of answer can help measure visibility, but it is not enough on its own. In healthcare, the quality, credibility and usefulness of an answer matter more. The more meaningful measure is whether people can understand the information and act on it appropriately.

An emerging challenge for communications leaders is designing for an Agent-to-Agent landscape, in which AI agents authorized to help patients navigate care may seek and use information on their behalf. Preparation starts with Maura’s essential question: what should someone be able to find, understand or do more easily?

That is the standard we should apply to every new front door we create.

Cameron Shields width= Sarah DaVanzo is a global integrated marketing communications leader and head of FleishmanHillard’s Culture Foresight and Innovation capabilities, Sarah writes for Rolling Stone and Fast Co. and is the author of Exotic Thinking: A Code to Innovating in the Age of AI (Wiley, April 2027).

 

Article

The Three Barriers Holding Brands Back From Bold

October 7, 2026
By Jim Joseph

I was onstage at AdWeek HQ for Advertising Week with marketing leaders from Lowe’s, Papa John’s and Monumental Sports & Entertainment in a lively conversation about “Why Bold Brands Move First.” One hour with these pros made it clear why some move first and most don’t.

Ivan Piedra Photography
From left to right: Elyse Blouin (Lowe’s Media Network), Janelle Panebianco (Papa John’s) and AJ Jones II (MSE) join FleishmanHillard Global Head of Brand Impact Jim Joseph at ADWEEK House. (Photo Credit: Ivan Piedra Photography)

It’s not a lack of belief. We’ve read our data showing 88% of marketing leaders believe bold creative wins. That’s not what’s holding brands back. Three specific barriers stand between what leaders know in their hearts and what their organizations actually do. We named them in The Chaos Advantage, our new research and brand playbook with Contagious, built to clear the path to the kind of bold work that moves the needle and lets brands make their mark.

The false-safety paradox.

Brands think staying quiet keeps them safe. It doesn’t. Cautious organizations and bold ones attract public backlash at nearly identical rates, 20% versus 21%. 58% say missing an opportunity through caution happens more than facing real consequences for being bold.

One of our panelists talked about this directly: their brand used to default to wait-and-see, and it took time to realize that playing it safe doesn’t actually help. It just means your competitors pull ahead.

Safety isn’t protecting anyone. It’s just a slower way to lose share.

The wait-and-see tax.

Human instinct says pause and let the danger pass. In this business, that delay is the real danger. Most leaders know it, too; our research backs it up with the vast majority agreeing that a delayed decision can do more damage than an imperfect one.

Another panelist put it in terms of speed itself: culture moves fast. In a world without a monoculture to follow, brands have to arm themselves with data, listen to the smaller communities forming around them and strike the moment they see an opening. There’s no more linear storytelling journey. The window opens once and you either move or you watch it close while you wait.

The machinery of caution.

This one’s structural. Bold work takes seven days to sign off, more than twice as long as safe work. 66% say their own risk management processes block action more than they enable it. Creative approval and campaign launches are the first things to slow down the moment uncertainty hits.

Papa John’s lived this one in real time. When a labor shortage hit during a baseball strike, the brand didn’t wait for a perfect plan. They hired the players. The decision moved fast because the brand already knew what was right for it and had the guidelines to back the call.

Sometimes the playbook is as simple as that. Know what’s right for your brand, have your decision-makers ready to review and approve, then move.

One panelist put the real question to all of us plainly: are you a brand who watches a trend, or a brand who sets one?

Safe is not the best way to go anymore. Brands need to be bold again. That’s what The Chaos Advantage shows and it’s what three brave marketing leaders proved on stage.

Jim Joseph width= Jim Joseph is FleishmanHillard’s global head of brand impact, responsible for leading global brand business across B2B, B2C and B2G audiences, leveraging communications to enable commerce and business outcomes for the agency’s clients. He is a member of FleishmanHIllard’s Global Executive Advisory.

 
Article

The Boldest Brands Turn Chaos Into Competitive Advantage

October 6, 2026
By Ellie Tuck

You can’t ‘wait out’ chaos any longer. You have to know how to move through it.

Remember when chaos used to be a once-in-a-while moment and then things would return to a predictable, reliable calm? Ahhh, those were the days.

Now, chaos and unpredictability are part of our daily experience. There’s barely a client conversation where some outside threat doesn’t stand in the way of sign-off or execution planning, whether AI-fueled misinformation or culture wars. The unpredictability of our operating environment has become one of the most predictable things about working in this industry today.

And it’s impacting the work. Let’s wait-and-see. Tone it down. Remove our point of view. Rather than avoiding failure, safe work just creates a different kind altogether, one most brands aren’t accounting for. This inspired us to search for the real cost of caution. We asked 1,000 senior marketing and communications leaders across North America, EMEA and APAC and worked with our partners at Contagious to analyze recent Cannes Lions and Effie Awards winners to find out: what is truly safe anymore?

The results are now in and they’re stark. Here are the headlines:

  • 88% of marketing leaders believe bold creative drives real impact, yet most say their organizations still produce mostly safe work. 
  • 58% say missing opportunities through caution happens more often than facing real consequences for being bold. 
  • Safe brands and bold brands experience public backlash at identical rates.  
  • Two-thirds say their own risk management processes block action more than they enable it.  
  • And 42% have already watched a competitor capture market share while they hesitated. 

Dull, uninspired creative isn’t a safer bet either. It drops brand conversion by 37% and long-term ROI by 14%. The organizations willing to act are the ones capturing the attention, the market share and the growth that uncertainty makes available.

This is The Chaos Advantage, our full study released today. The old marketing playbook was built for a world where brands could control the message. That world is gone.

This new kind of playbook is built to help brands do more than just survive. To show them how to plan and prepare for uncertainty as standard. To build systems, teams and marketing muscle to thrive today.

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

 
Article

The Crisis Counselor as Architect 

August 24, 2026
By Alexander Lyall

Do not ask how AI can make your work faster. Do not ask AI to help you draft a better holding statement. Instead, ask yourself how you make a judgement call?

Allow me to explain…

A language model can draft a plausible statement in seconds. But crisis counsel begins well before the statement. It begins with deciding what happened, what remains unknown, who is affected, which risks are material, what the organization must do and whether speaking publicly will improve or worsen the situation.

Much of that reasoning has never been formally documented. Crisis communications remains an apprenticeship profession. Practitioners learn by watching experienced colleagues separate signal from noise, identify the real issue beneath a media inquiry, weigh legal and reputational concerns, and recognize when an organization should speak, prepare privately or act before communicating at all.

AI is forcing the profession to make that expertise visible through a defined operating system.

The real opportunity is not to ask technology to imitate the final output of an experienced counselor. It is to map the reasoning that precedes that output, then determine where AI can make the process faster, more rigorous and more consistent.

That work changes the role of the counselor. The AI-era crisis counselor must become an architect.

An architect does not simply produce an answer. An architect designs the system that produces better judgment. That means defining what information is required, which questions must be asked, where decision points sit, when escalation is necessary, what can be accelerated and where human accountability must remain.

We encountered this directly while building AI-enabled crisis and risk solutions at FleishmanHillard. Leveraging the technology was a challenge, but the harder work was documenting how experienced counselors think.

Before building an AI-supported risk assessment, we had to define how a counselor determines whether a potential risk is material. Volume alone is not enough. A widely shared social post may be inconsequential, while a low-visibility employee concern or regulatory inquiry may signal a much larger problem.

Before building an adaptive crisis simulation, we had to identify what makes an exercise useful. Realism matters, but the real test is whether leaders are forced to define the problem, prioritize stakeholders, make decisions with incomplete information and experience the consequences of those decisions.

Before using AI to support message development, we had to reinforce a basic principle: messages express the strategy, they aren’t the strategy.

An organization must first decide how it intends to respond, what action supports that position and what affected stakeholders need. Only then should it choose the words.

Experienced crisis counselors rarely begin by drafting. They begin by diagnosing.

What happened? What is confirmed? What remains unknown? Who is directly affected? Who can shape the consequences? What is the organization doing? What do employees need? What interpretation could take hold? What would make the situation materially worse?

They then assess severity, velocity and visibility. They consider human, operational, legal, regulatory and reputational implications. They determine the level of response required and what would trigger escalation.

Only then do they establish a response posture.

But it cannot own the consequences of a decision.

Should the organization monitor? Prepare privately? Engage a regulator? Correct misinformation? Acknowledge the issue? Apologize? Defend its position? Different stakeholders may require different approaches. A company may remain publicly quiet while briefing employees, engaging customers directly and preparing materials in case the situation changes.

Once that strategy is clear, communications can follow.

This is where AI can help. It can organize intake, identify missing questions, compare large volumes of information, surface inconsistencies, generate scenarios and develop first-pass materials. It can test assumptions and help teams prepare for pressure.

AI can classify a situation. A counselor determines whether that classification is right.

AI can generate response options. A counselor recommends how the organization should stand.

AI can draft language. Human reviewers confirm that it is accurate, operationally true, legally appropriate and responsive to stakeholder needs.

AI can simulate audience reactions. Counselors interpret those outputs, understand their limitations and decide how much weight they should carry.

AI can help prepare counsel. It cannot be counsel.

There is also a larger institutional opportunity.

When expert workflows are mapped, they become teachable. Junior practitioners can see that the work does not begin with a holding statement. It begins with intake, classification, stakeholder assessment and response posture.

Click Above to Dive Into Our Crisis, Issues and Risk Solutions

Used well, AI can reinforce that learning by challenging unsupported assumptions, surfacing overlooked stakeholders and exposing practitioners to a wider range of scenarios.

It can also strengthen institutional memory. Too many organizations respond to each crisis as though it were the first. Lessons remain scattered across inboxes, outdated playbooks and the memories of people who eventually leave.

A mapped, AI-supported workflow can capture what happened, which decisions were made, how stakeholders reacted and what should change next time. Every response can make the next response smarter.

But there is a caution here. Codifying judgment can also codify blind spots. A poorly designed framework may create false confidence, reinforce narrow assumptions or turn a useful discipline into a rigid checklist.

The answer is better structure, with challenge mechanisms, quality controls and clear points of human accountability.

As AI tools become more powerful and more widely available, access to a particular model will not provide a durable advantage.

Methodology will.

The organizations that benefit most will be those that define how good judgment operates, where technology can assist and where human responsibility cannot be delegated.

The future of communications will not be defined by who writes the cleverest prompt or generates the fastest draft.

It will belong to counselors who can make expert reasoning visible, turn it into systems others can use and improve, and remain accountable for the decisions those systems inform.

“Alex Alexander Lyall is a Senior Vice President and Partner, Americas Lead for Risk Management, AI and Innovation. A 2026 PR Week 40 Under 40 honoree, he brings more than 15 years of crisis communications and issues management experience across industries, with particular focus on AI integration, preparedness strategy, and talent development.

 
Article

FleishmanHillard Launches Crisis, Issues and Risk Solutions Suite, Built on Demand for Data-Backed Advisory

July 31, 2026

The integrated suite enables organizations to anticipate, navigate and communicate through modern crises and issues.

FleishmanHillard announced today the launch of its Crisis, Issues and Risk Solutions Suite, a set of AI-powered platforms designed to help organizations identify risks before they escalate, practice crisis response in realistic conditions and test messaging across audiences before going live.

Built on the industry’s leading data stack, the suite combines advanced AI intelligence with deep consultancy expertise and crisis management methodology, addressing critical market gaps identified through client feedback and real-world crisis response experience.

What’s Inside the Suite

Risk ID: Identify Risk Before It Becomes News

Risk ID is an expert-guided, AI-powered platform that helps organizations identify, prioritize and mitigate reputational, regulatory, cultural and operational risks in campaigns before launch. It combines rapid risk detection with intelligent prioritization and governance confidence, answering the critical question: “Should we do this?”

Risk ID is essential for organizations entering new markets, launching sensitive campaigns, or when marketing and legal teams need data-backed clarity on risk levels.

Crisis Simulator: Practice Crisis Leadership in Real Conditions

Unlike traditional tabletop exercises with fixed scripts, Crisis Simulator creates adaptive, AI-enabled crisis environments where leadership teams practice decision-making under uncertainty. As participants make choices, the simulation evolves, introducing stakeholder pressure, emerging information and shifting expectations.

The platform develops better judgment and strategic alignment across teams, particularly valuable when leadership changes, crisis plans haven’t been tested, or executives need practice making decisions together under pressure.

Sage Audiences: Test Messages Before They Go Live

Sage Audiences is FleishmanHillard’s award-winning synthetic audience platform that tests how real audiences will react to messages, campaigns, crisis responses and scenarios before public deployment. Built from real audience signals, client context and industry expertise, it now offers three access points:

  • Audience Bundles: Curated, always-on audience sets (C-Suite, Healthcare, Media and more)
  • Crisis-Speed Builds: Directional audiences built rapidly for fast-moving situations
  • Custom Builds: Bespoke audiences tailored to a specific client, sector or issue

Article

We Went to Cannes Lions: Where the Industry Is Trending

July 1, 2026
By Jim Joseph

Every year that I go to the Cannes Lions Festival of Creativity, I go to watch the trends in action. There are generally one or two themes that dominate, ones we can take back to our teams and our clients for continual learning. But Cannes Lions 2026 was different. The energy shifted. Not the glittery awards show energy because that’s always there in full force. But the thinking shifted. I was at the edge of my theater seat.

After spending a week going from panel to keynote to networking event to insights presentation, it’s clear the industry is waking up to what we need to do in the current marketplace. It’s a tough one to navigate, and it’s decidedly different than what we’ve been chasing the last few years.

FleishmanHillard’s Global Head of Brand Impact Jim Joseph (second from left) and Chief Inclusion and Impact Officer Adrianne C. Smith appear at Inkwell Beach’s License to Lead: Reclaiming the Art of Storytelling.

AI is finally getting relegated to the side.

For the past three years, every conversation started with AI. AI this, AI that, AI will replace us all. Run for the hills! At Cannes Lions this year, the AI conversation took a different shape. AI showed up as a tool, not the strategy. Humans stayed at the center.

Just take a look at the award-winning work that actually cut through. It wasn’t built by AI. It was built with the help of AI. That distinction is game-changing for how we move forward.

Engagement became participation.

The old model: brands create, audiences consume. Brands engage, audiences respond. Well, that’s over.

The campaigns winning now are moving beyond engagement and asking people to participate and to be a part of the work. To co-create. The audience isn’t a target anymore. They’re collaborators.

Participation breaks into culture in a way engagement never could.

Consumers stopped being transactions.

Here’s what felt most important: brands are finally seeing people again. People. Not demographics, not segments and not customer lifetime value or conversion rates. People.

Real people with real lives, real contradictions, and real humanity. Your work changes when you view your people through that lens. The empathy is different and the insight lands more effectively.

Sports and its adjacencies are the driver of culture.

Sports marketing dominated the conversations at Cannes. Sports (the culture, the tribalism, the meaning around it) is where brands are finding relevance.

Sports has become the heartbeat of culture. And if you’re not thinking about sports, you’re thinking small.

Creators replaced advertising.

Co-creation on creator channels has become the new, pragmatic media with brands showing up in creator spaces, collaborating and building content together instead of buying space for ads. This is a partnership now, far beyond what we used to do with “influencers.”

The divide between brand and creator is collapsing. And that’s the point.

B2B is still sleeping.

I was a little shocked to see that B2B creativity hasn’t caught up yet. I, for one, predicted 2026 would be the year B2B breaks into culture. It hasn’t. The opportunity is there but the creative thinking hasn’t arrived yet.

B2B is still operating in the old playbook. That’s an opportunity for anyone brave enough to actually think differently about it.

So what does this all mean?

We introduced research at Cannes Lions 2026 called “The Chaos Advantage.” The insight underneath it all is that the brands winning right now are the ones comfortable navigating through the chaos, polarization and uncertainty we are facing. They break through it and grow while their competitors sit back and play it safe.

These brands are embracing the unpredictability that comes with real participation, with tools that help them to navigate the risk that is inherently in the system. They work the risk to their advantage.

Jim Joseph reports from Cannes: “Safe is not the best way to go anymore. Brands need to be bold again.”

That’s the shift, and that’s what Cannes Lions was telling us.

Marketing is a spectator sport, so let’s all learn from this amazing Festival and elevate our work as a result.

I want to see you on the awards stage next year!

Jim Joseph width= Jim Joseph is FleishmanHillard’s global head of brand impact, responsible for leading global brand business across B2B, B2C and B2G audiences, leveraging communications to enable commerce and business outcomes for the agency’s clients. He is a member of FleishmanHIllard’s Global Executive Advisory.

 

 
Article

How to Win the GLP-1 Food Industry Wake-Up Call

June 30, 2026
By Kristie Sigler, Allison Koch and Amanda Patterson

GLP-1 medications may actually impact the food and agriculture industries more than the healthcare industry. Why? While GLP-1 drug offerings remain standardized, each GLP-1 user has distinct and evolving food needs. And the impact of those food choice changes cascades far beyond one person, rippling through families and friend groups. GLP-1 use will have a multiplier effect on the food, beverage and agriculture industries for years to come. Understanding the diversity of GLP-1 users has moved from being of interest to being imperative.

Two years ago, we started having conversations internally. We were watching the GLP-1 landscape shift in real time, and one thing became crystal clear: companies were trying to solve for a consumer they didn’t actually know. So, we decided to build something different. We combined the lived experience of GLP-1 patients across their entire medication journey, from day one through discontinuation. We layered in their demographic details, their real struggles, and paired it all with the clinical expertise of registered dietitians who counsel and support these patients daily. The result? The GLP-1 Lens – a synthetic AI audience grounded in actual consumer truths and clinical reality, not assumptions. A tool to not just shape your actions today but to map opportunities with your future target markets.

Why does this matter? Because the consumer on day one of their GLP-1 journey looks nothing like the consumer on day 180. We can’t treat GLP-1 patients like one giant monolith. Think of each user as a dot of color in a kaleidoscope. Marketing to GLP-1 patients is like playing with that kaleidoscope. Every time you think you have a clear picture, that teeny turn changes the image. And these days there are as many turns (new drug forms, new food insights, new markets, new food launches) as there are colorful prisms in the GLP-1 kaleidoscope. Understanding these users guides your work and accelerates your advantages.

How?

You stop guessing. Reformulated products and tailored menu items may work for those just starting on their journey, but not for those on maintenance. But without this insight, you’d never know until negative reviews tank your launch. GLP-1 Lens can tell you when to start messaging your product to have your message match their need.

You can move faster. Instead of 18-month product development cycles or campaign messages built on assumptions, you iterate on validated insights. GLP-1 Lens could get you extra months in market.

You build loyalty. Influencer programs and products that meet consumers where they actually are—not where you assume they are—create brand advocates, not one-time buyers. GLP-1 Lens can help create brand fans.

The GLP-1 landscape is being written right now. And how it looks today will be vastly different tomorrow. Companies that rely on authentic insights will own this moment. Those that don’t will be left picking up the pieces.

Contact Kristie Sigler – [email protected] – for more.

Article

The AI Readiness Gap Series: How to Build a Culture of Experimentation 

June 22, 2026
By Zack Kavanaugh

This is the third installment in a series on what it takes to close the gap between AI investment and tangible business impact.

In the first two pieces, I argued that AI adoption is fundamentally a people challenge – not a technology one. And I walked through why normalization – that initial work of building psychological safety and making AI feel less like a mandate from above – is where adoption begins.

But normalization is foundational, not sufficient for scaling and sustaining a transformation.

Listening builds trust, transparency creates permission and leaders modeling curiosity make space for people to be curious too.

Yet at a certain point, readiness must turn into action, and trust must move into experimentation – and that’s where things often stall for organizations.

What experimentation entails

Experimentation is not a single workshop or training session where people learn AI in theory and hope to apply it later.

Experimentation is the deliberate work of creating low-stakes opportunities for people to try AI with daily tasks, see what happens, share what they learn and let those discoveries shape how their team and the broader organization evolves.

Why experimentation stalls

Many organizations are making the mistake of treating experimentation like compliance.

They may schedule training, mandate it or expect it to happen in a structured, predictable way. Then they’re surprised when adoption remains stuck at the edges – concentrated among early adopters while the rest of the organization watches, wondering why this whole “AI thing” isn’t for them.

What tends to move people from curiosity to confidence is relevance. When people see how AI fits into their work, adoption stops feeling like a mandate being forced upon them and starts feeling like a tool they’re better off with than without.

Who influences experimentation

Experimentation doesn’t happen without active support – and managers’ involvement is often what determines whether it takes root or trails off.

  • Microsoft’s 2026 Work Trend Index found that when managers visibly use AI themselves – not just endorse it – employees report a 17-point lift in AI value, a 22-point lift in critical thinking and a 30-point lift in trust in AI tools.  

Manager visibility and support are the prerequisites for experimentation to become embedded in how work gets done.

And beyond that non-negotiable support, companies can deploy three strategies to accelerate experimentation:

1. Design low-stakes opportunities to try, not mandatory programs.

The difference between training and experimentation is permission to fail.

Experiments are designed to surface discovery. The expectation is learning – which includes failure. The point is to uncover insights that shape what comes next, not to prove mastery.

This changes how people engage. Instead of one-size-fits-all training, create role-specific challenges.

These don’t need to follow a single format.

  • Some organizations run week-long sprints where teams tackle a specific workflow problem with AI.  
  • Others build 15-minute “AI challenges” into team meetings – quick, low-pressure moments where teams tackle something together and debrief in real time.  
  • At FleishmanHillard, we’ve deployed “try this” email campaigns that highlight role-specific tips and best practices – paired with reinforcement in team meetings – and structured, cross-functional hackathons and competitions where groups solve real workflow problems with AI.  

Format matters, but less than the regularity with which you encourage and provide opportunities for your people to try something with their work, see what happens and reflect on it – moments where stakes stay low, the learning gets documented and momentum builds as people see peers discovering things that work.

2. Spread learning through peer voices and stories, not polished case studies.

Your AI wins will get turned into case studies – charts, metrics and messaging locked in to prove ROI. While these matter for leadership dashboards, they often read less like something a peer figured out and more like something the company or an expert achieved.

Peer stories work differently. They come from someone familiar and in a similar position. They’re messier, they show what someone was really thinking when they tried something and they make room for context – “Here’s where I am, here’s what I tried, here’s what happened and here’s what I’d do differently.”

That messiness is what makes them powerful. It signals that perfection isn’t the bar – and if someone who thinks like you and works like you figured something out – suddenly that same experiment feels possible for you too.

Those stories create permission in ways polished case studies never do – which is why leaders should find ways to share these.

This could take several forms.

  • Create internal campaigns where teams share what they tried that week and what they learned – misfires included – via Slack threads or Teams channels.  
  • Host show-and-tell sessions where someone walks through how they solved a problem, where they got stuck, what went wrong – and invites the room to help troubleshoot next steps.  
  • Or establish dedicated architect and ambassador roles – like we’ve done at FleishmanHillard – where builders and super users experiment alongside their teams, share what’s working and what isn’t, and create permission for others to do the same. 

And with peer stories, tone is everything. “I tried this and it didn’t work, but here’s what I learned” is infinitely more relatable than, “Here’s how our company is transforming productivity and driving efficiency.” One invites personal experimentation – and the other signals compliance.

3. Build informal peer-to-peer momentum instead of formal training.

Training is periodic and linear. Peer-to-peer learning is fluid, constant and evolves as your organization does.

Both are valuable, and you should deploy each as needed, but peer-to-peer learning builds adaptive capacity – the kind that compounds and grows alongside your culture.

When you create simple mechanisms for ongoing peer-to-peer learning – “What I learned this week” rituals in team meetings, Teams threads where people drop quick tips, debrief huddles where someone walks through how they applied AI to a real use case, side conversations where a peer shares a shortcut – learning stops being something that happens to people and starts being something they do together.

At FleishmanHillard, we’ve made this easier by building off-the-shelf training resources and templates that any role can use or adapt for their teams – simple scaffolding that removes friction and makes peer sharing more accessible.

We’ve witnessed firsthand that those moments compound, and they reshape how your organization thinks about discovery and experimentation.

They also serve as a continuous feedback loop. You may learn more about what people care about, what confuses them and what would help them in a few weeks of informal conversations than from your annual survey.

On top of all that, assuming you’re following through on what you hear, your people will feel like their voices shaped what comes next – because they did.

How you know experimentation is becoming part of your culture

Experimentation is a continuous, messy, non-linear process – not a single moment. Here are three signals you’re heading in the right direction:

  • AI is being applied to everyday work. Analytics and team check-ins show employees testing AI with real tasks.  
  • Learnings are being shared. Examples, wins and failures surface in meetings and peer showcases. The conversation has shifted from, “how do I use this?” to, “here’s what I tried and here’s what I learned.”  
  • Confidence is building. The tone in surveys shifts from, “I’m not sure where to start” to, “I’m figuring out where this could help.” People are getting more and more curious and taking small, concentrated risks because they feel safe doing so. 

Building the cultural conditions for experimentation

Right now, organizational culture is roughly twice as powerful as individual mindset in determining whether AI delivers value.

The organizations accelerating adoption are the ones making room for people to learn and figure out what this technology means for their work – where people feel safe trying them, failure is a learning opportunity, peer discoveries shape strategy and use becomes personal enough to stick.

So, the question for leaders right now is less about the technology itself and more about whether you’ve created the conditions for everyone to use it. And if you haven’t normalized this shift and built experimentation into how your organization operates, the answer will always be no – no matter how good the tools are.