CollectivNews

Welcome to a monthly round-up of information relevant
to comms professionals and everyone interested in the fractional model.

April 2026

Truth Is Getting Harder to Find.
That’s Our Problem to Solve.

We are no longer living in an information age.

We are living in a verification age. Information is everywhere. Trust is not.

Stop Consuming. Start Triangulating.

In a world shaped by polarization, forming an independent point of view now requires effort. The days of relying on a single outlet, or even a handful of familiar ones, are over.

The most effective communicators are actively cross-checking. They are reading across the spectrum, following independent voices, and pressure-testing narratives before accepting them. Not because they want to, but because they have to.

The real challenge? Teaching this behavior to the next generation, who are growing up in an environment where speed often wins over accuracy and empirical facts are not true.

Social Media Didn’t Break Trust. It Exposed It.

Algorithms are not neutral. They reward outrage, certainty, and extremes. And in doing so, they don’t just reflect bias, they amplify it.

What once felt like fringe perspectives can now feel mainstream, simply because they are repeated, shared, and reinforced within tightly sealed echo chambers.

Legacy media is not immune. Audiences increasingly assume that narratives are shaped first, and facts are gathered second. Whether that perception is fair doesn’t matter. It’s still reshaping behavior.

We’re Not Just Divided. We’re on Different Feeds.

One of the most striking takeaways: different generations are not just consuming different news, they are operating in entirely different information systems.

For some, credibility still comes from established institutions. For others, it comes from creators, influencers, or communities on platforms like TikTok and Reddit.

Layer in deepfakes, AI-generated content, and limited platform safeguards, and the question becomes unavoidable: what does “truth” even look like when everyone is seeing something different?

Media Literacy Is No Longer Optional

This isn’t just a media problem. It’s a societal one.

If people don’t know how to evaluate sources, identify bias, or question what they’re seeing, the entire system weakens. The concern isn’t just misinformation. It’s the erosion of confidence in any information.

There’s a growing recognition that we need to involve younger voices in this conversation, not just as learners, but as contributors. They understand how the platforms work better than anyone. We need to understand how they’re navigating them.

So Where Do You Go for the Truth?

Interestingly, some of the most trusted environments aren’t media platforms at all. They are places where credibility is earned in real time, like industry conferences and expert forums, rooms where you have to defend your point of view in front of people who actually know the subject.

Of course, then reality sets in. Most professionals don’t have hours to dig. They want smart, fast, digestible information. That’s why concise formats continue to win. But speed comes with trade-offs. And increasingly, those trade-offs matter.

The Bottom Line for Communicators

This is not someone else’s problem. It’s ours.

As communicators, we are operating in a landscape where skepticism is the default. Where audiences question motives, sources, and intent before they even engage with the message.

That means the bar is higher.

We have to be more transparent. More balanced. More disciplined in how we source and present information. And perhaps most importantly, we need to help our audiences navigate complexity, not just simplify it.

Because in today’s environment, credibility isn’t given. It’s earned, over and over again.

Workers Around the World Are Scared.
A Massive New Survey Shows Just How Much.

By Sadie Elisseou, MD

Despite historically low global unemployment, a recent article in Fortune highlights a workforce defined not by confidence, but by anxiety. Drawing on a sweeping global survey of more than 39,000 workers across 36 countries, the findings show that only a small minority feel secure in their jobs, as the rapid rise of AI fuels widespread uncertainty about the future of work.

The data reveals a growing disconnect at the heart of today’s workplace. While AI adoption is linked to higher levels of engagement and even lower day-to-day stress for some, it is simultaneously reshaping how workers perceive their own productivity and value. As routine tasks are increasingly automated, many employees report feeling less accomplished, even as their work shifts toward higher-value contributions. The result is a subtle but powerful erosion of confidence.

At the same time, anxiety is not evenly distributed. It cuts across industries and geographies but is most pronounced among frontline workers and older employees, who are less likely to feel equipped for an AI-driven future. Meanwhile, younger, more tech-savvy workers show greater optimism, underscoring a widening generational divide in both mindset and preparedness. Layered onto this is a broader engagement challenge, with many workers simultaneously overextended, disengaged, and quietly considering their next move.

What emerges is not just a story of technological disruption, but of psychological strain. Whether personal or societal, anxiety is an understandable response to persistent uncertainty. And while there is no fast fix to a challenge this complex, the path forward is not without direction.

The same principles used to help individuals manage anxiety can be applied at scale: name the problem, acknowledge the strain, and focus on what can be controlled.

That starts with leadership. Organizations can foster resilience through flexible work arrangements, expanded leave policies, and meaningful access to mental health support, not as perks, but as core infrastructure. Building psychologically safe environments where employees feel heard and supported is essential to stabilizing a workforce under pressure.

Leaders also need to create space for more candid, and often uncomfortable, conversations about what AI means for productivity, job design, and long-term career paths. Addressing generational differences head-on, rather than ignoring them, can help bridge gaps in confidence and capability. At the same time, employers must move beyond generic training and invest in practical, ongoing upskilling, giving workers clear pathways to build fluency in AI and other emerging technologies and, just as importantly, confidence in their relevance.

Finally, organizations have an opportunity to redefine how work itself is measured and valued. As AI reshapes task-based output, companies should rethink productivity metrics, time management expectations, and the skills that matter most, placing greater emphasis on judgment, creativity, adaptability, and impact.

Change is not slowing down, and uncertainty will persist. But while disruption may be inevitable, so too is the opportunity for adaptation and growth, if organizations choose to meet it with clarity, empathy, and intent.

What the Profession Is Talking About Right Now

By Brian Besanceney, Partner, CommsCollectiv

Late Q1 has quietly become one of the most important gathering seasons in corporate communications. Practitioners, senior leaders, and researchers convene at a handful of venues, sharing research, debating ideas, and taking stock of where the profession stands. One of the things I’m genuinely enjoying about my current advisory work is the ability to participate, listen, and synthesize across those rooms without an agenda other than learning.

Starting with the IPR Bridge Conference in mid-March and running through Comms 50 and the Page Spring Seminar in New York, here are three conversations that senior practitioners and researchers in our field are actively having.

The Earned Media Paradox

There is a quiet but serious reassessment underway about the value of earned media, and it’s much more nuanced than the “media is dying” narrative that’s been circulating for years.

By traditional metrics, earned media is less important than it was a decade ago. Consider newsroom consolidation, declining per-capita readership, and the fragmentation of attention, and the math is undeniable. And yet senior communicators aren’t walking away from it. C-suites still want it. Boards still ask about it. Investors still treat major placements as signals of legitimacy.

Part of this is simply demographic reality. Your C-suite and board are disproportionately getting their news the old-fashioned way with the print edition of the Wall Street Journal or Financial Times landing on their doorstep each morning. Don’t underestimate how much that shapes what they think matters most.

But earned media’s staying power goes beyond the reading habits of the corner office. It retains a function as third-party validation that owned and paid channels simply cannot replicate, particularly for enterprise audiences who are skeptical by design.

There’s also a newer dimension that most teams haven’t fully processed: earned media now trains the AI models. When a journalist covers your company in a major outlet, that coverage becomes part of the corpus that large language models learn from. It shapes how AI systems describe, characterize, and contextualize your organization. Fewer people per capita may be reading the piece but that piece is teaching the AI platforms what to say about you when someone asks. That’s a new and underappreciated reason to care deeply about earned media quality, accuracy, and volume.

The strategic implication is clear: stop measuring earned media only by impressions (which has been a questionable way to evaluate success all along). Start measuring it by audience quality, third-party credibility, and its contribution to your AI-facing narrative footprint.

Geopolitics is Now a Core Competency, not a Specialty

The conversations made one thing clear: corporate affairs leaders can no longer treat geopolitical risk as someone else’s lane. It surfaced in discussions about enterprise risk management, global regulatory outlook, supply chain resilience, and the challenge of navigating communications when every message carries consequences across fragmented political environments.

This connects directly to something researchers and executive search professionals are tracking closely: the rise of the “CCO+.” The CCO role has been expanding steadily, absorbing more accountability for enterprise risk, government relations, ESG, and investor-facing communications. But what’s striking is that even “pure play” CCO roles in organizations that haven’t formally blended corporate affairs disciplines under one roof now require a level of geopolitical fluency that simply wasn’t even on the table ten years ago. The world came to the CCO, whether the org chart acknowledged it or not.

This isn’t just a concern for multinationals with operations in contested markets. Tariffs, industrial policy, shifting alliances, and domestic political volatility are reshaping the operating environment for virtually every large organization. The communicators adding the most value right now are the ones who can connect those macro forces to their company’s specific stakeholder landscape and counsel leadership with the same fluency on geopolitical dynamics that they bring to media strategy or employee communications.

If your team isn’t building this muscle, the window to do so on your own terms is narrowing.

AI Is Moving from Philosophy to Org Chart and into the Crisis Room

The profession has been talking about AI for several years now. What’s different now is the specificity of the conversation. The question is no longer whether AI belongs in the communications function. It’s how you structure around it, where human judgment remains non-negotiable, and how you train teams to operate effectively alongside it.

Particularly interesting: the emergence of AI-powered crisis simulation as a training tool. Using AI to stress-test teams, playbooks, and decision-making before a real situation hits, is a meaningful evolution beyond drafting assistance and media monitoring.

What hasn’t been resolved, and what honest practitioners will tell you in the hallways, is the tension between efficiency and wisdom. AI makes teams faster. It doesn’t make them wiser. The function that figures out how to use AI to accelerate execution while keeping experienced human judgment at the center of strategy and counsel will have a genuine competitive advantage. Those that outsource judgment to the technology will find out the hard way why that’s a mistake.

The Bottom Line

The reinvention of earned media’s value proposition, geopolitics, and the hard work of actually integrating AI aren’t future challenges. They’re the conversations happening right now, in the rooms where our profession’s direction gets shaped.

Worth paying attention to, sure. Worth acting on, you better believe it.