CollectivNews

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

June 2026

AI Isn’t Just Reshaping Work.
It’s Reshaping How Companies
Communicate Change.

By Monica Talan, Partner, CommsCollectiv

Throughout my career, I’ve had the opportunity to help navigate periods of major transformation inside Fortune 500 companies – restructurings, technology shifts, evolving operating models, and changing customer expectations.

What I was always grateful for was leadership teams that understood one thing clearly:

Communication was not separate from the transformation. Communication was integral to the transformation.

Because during moments of uncertainty, employees are not just evaluating the business decision itself. They are evaluating trust, transparency, leadership credibility, and whether they feel respected in the process.

Unfortunately, that lesson feels increasingly absent from some of today’s AI conversations.

For the past three years, we’ve been flooded with predictions about AI-driven job extinction:

• White-collar collapse
• Mass replacement
• Entire professions disappearing overnight

And now, interestingly, the narrative is shifting.

This week, OpenAI CEO Sam Altman acknowledged he was “pretty wrong” about how quickly AI would disrupt jobs.

That does not mean disruption isn’t happening. It is. According to TrueUp, more than 144,000 tech jobs have already been cut globally in the first five months of 2026 alone. Companies are restructuring teams, consolidating functions, reevaluating hiring, and adapting to rapidly evolving AI capabilities.

But what many organizations still have not figured out is this: AI transformation is not just a technology story. It’s also a communications story.

The recent Webflow restructuring is a reminder of how quickly messaging can shape perception. While the company framed its changes around evolving toward an “agentic web” and adapting its operating model for AI, much of the public conversation quickly shifted away from strategy and toward the employee experience itself: abrupt account lockouts, confusion, backlash, and criticism around transparency.

Whether the business decision was right or wrong almost became secondary.

The communication became the story. Here are four lessons communicators should pay attention to right now:

1. Employees hear “AI” differently than executives do.

Leaders often use AI language to signal innovation, competitiveness, and future growth.

Employees often hear: replacement, cost cutting, uncertainty. And that gap matters. Especially when workers are simultaneously being asked to help train AI systems, document workflows, or transfer institutional knowledge while wondering whether those same systems could eventually reduce their role.

Once AI becomes the headline, employees often stop hearing anything else.

2. A job is more than a collection of tasks.

As Chris Gee recently wrote on LinkedIn: “A job isn’t a list of tasks. It’s the orchestration of those tasks.”

That may be one of the clearest explanations of why the “AI replaces everyone” narrative is starting to crack. AI can automate tasks like research, drafting, summaries, and administrative workflows. But jobs also involve judgment, relationships, timing, trust, and human coordination. Especially in communications.

AI cannot read the emotional dynamics inside a fragile executive conversation. It cannot build trust with a skeptical reporter over years. And, it cannot replace institutional intuition.

3. AI is creating jobs too – especially around trust.

Investor Radika Dutt recently noted that companies across enterprise AI are rapidly creating new categories of jobs focused on governance, safety, adoption, trust, and risk management.

These are roles that barely existed a year ago:

• Chief AI Officer
• AI Governance Lead
• Responsible AI Manager
• AI Trust & Safety
• Enterprise AI Architect
• AI Adoption Lead

The irony is that as AI becomes more powerful, organizations are discovering they need more human oversight, not less. Not fewer humans. Different humans.

4. AI does not automatically mean lower costs.

One of the biggest misconceptions in the market right now is that AI instantly creates leaner organizations.

In reality, AI implementation can be expensive, as some companies are beginning to acknowledge. As usage scales, businesses are discovering that compute costs, tokens, infrastructure, governance, security, and enterprise deployment costs can add up quickly. That is forcing some companies to rethink how broadly AI should be deployed, which workflows truly benefit from it, and where human expertise still creates more value.

The future likely belongs to organizations that combine AI-native talent with deep human expertise, not companies that assume AI alone can replace judgment, trust, and institutional knowledge overnight.

Your Client Is Being Described
In Rooms They’ll Never Enter

By Dan Nestle, Co-Founder & Chief Product & Intelligence Officer, Lilypath

Someone is going to make a decision about your client this week — maybe to run a story, take a meeting, send an RFP, or buy a product. Until recently, they would have Googled the name; now, they ask an AI. ChatGPT or Claude tells them who your client is in one confident, sourced paragraph, composed and finished before your client has said a word. They read it and walk away with an impression. Your client was never in the room for it. Neither were you.

I walked a room of communicators through this recently in a session that was meant to cover a lot of ground, yet it kept bending back to one subject: LinkedIn. We talked about content. Posting do’s and don’ts. But several questions were variations on a theme: what is the actual connection between a LinkedIn profile and what ChatGPT or Claude says about a person?

It’s a sharp question, and the answer changes how comms professionals should think about the platform.

From the Click to the Citation

Let’s start with what shifted. For two decades, being findable meant ranking. You competed for the click against a full page of results, and the reader did the choosing. Then, soon after the launch of ChatGPT in late 2022, the answer era arrived. Ask a model a question now, and it returns a single synthesized response, with no page of options to weigh, which shifts the whole game from ranking for a click to getting cited in the answer.

We’re already edging into a third phase, where autonomous agents act on a person’s behalf, doing the shortlisting, and the contest becomes whether your client gets chosen at all.

LinkedIn sits at the center of this for anyone in communications. Across the major AI platforms, it is the single most-cited source when a model is asked about a professional. Research by Profound, covered in Axios this spring, found that citation frequency has roughly doubled since late last year. A personal site, a Forbes mention, a podcast appearance, a Substack — all of it is out there. But when a model is asked, “Who is this person?” it turns to LinkedIn first.

A Different Machine Underneath

For twenty years, we’ve talked about “the LinkedIn algorithm,” as if there were just one. That algorithm is real, and it still asks the same thing every time someone opens the app. What should I show this person next? Its audience is humans scrolling, and its horizon is the next few hours.

A second system runs alongside it now, and it’s the one that answers the room’s question. Call it the citation engine. Its readers are other machines, LinkedIn’s own ranking models and, increasingly, public LLMs that pull LinkedIn as their first source for professionals. Its job is to answer one question. Who is this person?

It works on a much longer horizon, over months and years, and it optimizes for coherence: how well the profile, the posts, and the engagement history all tell the same story. That system is the bridge between a LinkedIn profile and what ChatGPT says about your client.

Under the hood, that work is split across several models, each with a narrower task. One of them reads the prose in your About section and your job descriptions and infers your domain expertise. It weighs the words far more than the skills list you’ve curated. If the headline says you’re a strategic consultant, and the About section mostly talks about comms, the system quietly files your profile under the comms.

What ties all of LinkedIn’s AI models together is the input. Each one reads the same text: the headline, the About section, the job descriptions, the posts, the comments. The words the feed reads to rank a post are the words the public models read to describe your client, two audiences who never meet, working from one set of prose.

A coherent profile gets read consistently everywhere it’s touched, and an incoherent one gets misread just as inconsistently, across every surface where the AI is shaping a decision. Get it right once, and it gets read correctly in both places.

What This Changes for the Work

Some of what follows stings.

Reach on any single post has collapsed; a typical post now lands with roughly half the audience it would have reached a couple of years ago, which makes chasing impressions one post at a time a slow way to lose. The audience that has actually grown is the one that follows a coherent identity over time. Substantive comments now outweigh likes by a wide margin, and a save signals more than any other interaction. Drop an external link into the body of a post, meanwhile, and the whole thing gets throttled.

The bigger shift is who the platform favors. Company pages have been squeezed down to a sliver of the feed while personal profiles command most of it. For communicators who’ve spent careers building brand channels, that’s a hard turn: the person now beats the logo, and the AI almost never cites a company page when answering a question about a human being.

So the discipline changes. The work is to know what the models say about your client today, to find where the profile contradicts itself, and to change the words that throw the systems off. All of that can be measured and fixed, which makes it a practice in its own right.

My Lilypath co-founders and I are building what we have come to call Authority Intelligence: reading how AI interprets a professional’s authority, then managing it on purpose. The work now is making sure that when the machine gets asked about your client, it already has something true and coherent to say. Lilypath is how you see what it’s saying, and what you can do to change it.

The platform rewards coherence over volume, one steady signal held long enough to become unmistakable.

That’s the part worth sitting with. In an AI-mediated world, a professional identity is infrastructure. It’s load-bearing, the thing every system reads before anyone gets near your client’s actual ideas. And staying silent doesn’t keep your client safely neutral. Refuse to shape what the machine reads, and it writes the description anyway, from whatever fragments it can find, and hands it to the room your client will never enter.

The Corporate Influencer Era Has Arrived,
and Most Companies Are Not Ready

For years, corporate communications was built around controlled channels.

The press release. The CEO statement. The town hall. The website. The carefully approved social media post. Those channels still matter. But they are no longer enough.

Today, influence increasingly moves through people, not institutions. Leaders, employees, founders, subject-matter experts, and even customers are becoming the faces of corporate reputation. In many cases, the most trusted company message is no longer coming from the company account. It comes from a person with a voice, a point of view, and a visible presence.

The creator economy has arrived inside corporate communications, and most companies are not prepared for what that means.

The Brand Account Is No Longer the Center of Gravity

The shift is easy to see. Executives are posting on LinkedIn with the consistency of media personalities. Employees are sharing workplace experiences, industry commentary, and behind-the-scenes moments. CEOs are launching podcasts. Senior leaders are appearing in short-form videos. Companies are encouraging teams to build personal brands because they understand that people often trust people more than logos.

The Edelman/LinkedIn 2025 B2B Thought Leadership Impact Report describes thought leadership as more than content marketing, but rather a way to build trust, shape perceptions, and influence decision-making inside complex buying groups.

The same dynamic is changing corporate reputation. A company’s credibility is now shaped not only by what it says officially, but by what its leaders and employees say publicly every day, creating in equal parts opportunity and risk.

Every Employee Can Now Be a Media Channel

The old model of corporate communications assumed that messages could be developed centrally, approved internally, and distributed through official channels. The new model is much messier.

Employees have their own networks. Executives have their own audiences. Technical experts, sales leaders, recruiters, physicians, consultants, engineers, and frontline managers can all become public voices for the organization. This all works to make a company feel more human, more transparent, and more credible and can help with recruitment, business development, customer trust, and industry visibility.

But it’s tricky. Companies that try to over-script their people usually drain the authenticity out of the effort. Companies that provide no guidance at all create reputational exposure. The challenge is to build a system that encourages authentic participation while giving people the judgment, guardrails, and confidence to represent the organization well.

Executives Are Becoming Corporate Creators

The most visible version of this trend is the rise of the executive influencer.

In the past, many executives viewed public visibility as occasional and formal, participating (often reluctantly) in media interviews, investor presentations, keynote speeches, or carefully managed announcements.

A modern CEO or senior leader may be expected to comment on industry trends, explain company decisions, share leadership lessons, respond to moments of uncertainty, and while showing some degree of personal authenticity. LinkedIn has become a primary arena for this kind of executive presence, especially in B2B environments where expertise and credibility matter.

Because audiences can sense when a post has been ghostwritten without insight or personality, communicators must help leaders express themselves with consistency, humanity and relevance.

AI Is Raising the Stakes for Authenticity

Just as companies are asking leaders and employees to become more visible, artificial intelligence is making it harder to know what is real. The creator economy is being reshaped by AI, with analysts pointing to the rise of AI-native virtual creators, AI likeness licensing, and more mature B2B influencer strategies.

That creates a corporate communications paradox.

AI can help teams work faster, but the more AI-generated content floods the market, the more valuable authentic human communication becomes.

Brands are already recognizing this tension. Aerie recently leaned into an anti-AI message, emphasizing real people and transparency in its campaign featuring Pamela Anderson. The company positioned the campaign around trust, authenticity, and its commitment not to use AI-generated bodies in customer-facing modeling.

The communications function must become the architect of a new influence system that helps leaders and employees communicate in ways that are authentic, useful, and aligned with the organization’s values. It should provide guidance without suffocating individuality and treat trust as the real measure of success. The human signal matters more than ever.

The Corporate Influencer Era Requires Human Judgment

Influence now flows through networks of people, not official corporate channels. A thoughtful LinkedIn post from a respected executive may do more to shape market perception than a formal announcement. A credible employee voice may do more for recruiting than a polished careers page. A subject-matter expert with a small but engaged audience may carry more weight than a brand account with thousands of passive followers.

Companies that understand this shift will build new communications capabilities around executive voice, employee advocacy, content governance, AI transparency, and personal brand development. The winners will be the organizations that activate real human voices with purpose, discipline, and authenticity.

Companies that ignore it will find themselves reacting to a world where everyone is already communicating on their behalf, with or without a strategy.