When Leaders Go Quiet, Teams Write the Story
Three organizations confront the same cultural honesty question. Their responses reveal what deliberate transparency looks like, and what its absence costs.
Each month, this series follows a fictional leader through a real professional challenge. The situations are composites drawn from patterns I observe across B2B marketing teams in AI transformation. The names and companies are invented, but the failure modes are not. This month’s real-world examples — Google, Cloudflare, and Klarna — are drawn from documented public reporting.
Last week, Marisol ran the Cultural Honesty Map. The gap she found between what she said and what her team heard wasn’t hidden; it had been widening for six months while she focused on operational execution. She wasn’t alone. These organizations confronted the same question. Some answered it with deliberate design. One discovered the cost of leaving it unanswered.
THE PATTERN
What teams do when leaders are silent about AI
The failure mode in Marisol’s story was structural, not interpersonal. She didn’t withhold information from her team intentionally. She held it back because she believed her AI strategy wasn’t ready to share. During the six months she spent perfecting it, her team built their own version from what they could observe: a platform consolidation, a workflow integration, a hiring pattern that quietly shifted. By the time she presented the strategy at her all-hands, the version her team had written had already replaced the one she was about to deliver.
Every industry where AI is reshaping the work itself reveals this pattern. McKinsey’s January 2025 Superagency in the Workplace study surveyed 3,613 employees and 238 C-suite executives across six countries and found that employees use generative AI at work three times more than their leaders realize. C-suite executives estimated four percent of employees use AI for at least 30 percent of their daily work. Employees self-reported 13 percent. The same study found that 47 percent of employees believe AI will replace 30 percent of their work within a year, against only 20 percent of leaders who believe the same.
Those numbers describe a perception gap, but the gap itself is the diagnostic. When leaders are operating from one understanding of AI’s reach inside their organization, and employees are operating from another, the silence between the two is where the cultural honesty failure lives. Teams aren’t waiting for permission to use AI. They’re using it. What they’re waiting for is leadership to acknowledge what’s happening, what it means, and what comes next.
On the Cultural Honesty Map, this is the Inferred quadrant: leaders silent on the substance, teams already in motion. The team is constructing the future their leader has not yet named, from the operational signals available to them. The team writes the strategy. The leader is no longer the author of it.
THE BREAKDOWN
How silence reveals major decisions
Google signed a contract with the Pentagon to provide cloud and AI infrastructure for military operations. Employees learned about it through media reports. According to internal accounts published by Fortune in May 2026, the company never clearly communicated to employees that it was negotiating the contract or that it had signed one. Leadership’s closest response to the resulting concern was an internal memo about responsible AI and military partnerships that did not explicitly acknowledge the agreement.
A Google researcher quoted in the Fortune piece described the lack of transparency as “pretty indicting” and said the deal felt as if it had been done “in the dark.” The internal pushback that historically defined Google’s response to military contracts, most notably the 2018 employee revolt that killed Project Maven, was largely absent this time. The absence wasn’t agreement. It was the simpler fact that the company never gave employees the option to push back against the decision.
The breakdown wasn’t the contract itself. The breakdown was the company’s choice to let employees discover a consequential decision through external reporting, and to respond with adjacent language instead of direct acknowledgment. The cultural honesty failure was not that Google made a controversial decision. It was that leadership treated the decision as something communicated through absence, which is the most expensive form of silence a leader can choose.
When leaders communicate a consequential AI decision through implication rather than direct statement, it does not stay implicit. It becomes the dominant narrative. By the time leadership decides to address it directly, employees have already accepted a version of the decision that the leader did not write and cannot easily revise.
THE NAMED MODEL
Two companies, two cultural honesty moves
In May 2026, Cloudflare announced a workforce reduction of more than 1,100 employees. The announcement came as a blog post from co-founders Matthew Prince and Michelle Zatlyn, titled “Building for the Future,” published the same day every affected employee received a personal email from one of the two founders.
The post was specific in three ways that mattered. It named the cause: Cloudflare’s internal AI usage had increased by more than 600 percent in the prior three months, with employees across functions running thousands of AI agent sessions daily, and the company’s existing organizational structure no longer aligned with how employees actually did the work. It named the responsibility: Prince and Zatlyn wrote that the decision was theirs to own as founders, not something managers should communicate. It named the protection: severance packages that included full base pay through the end of the year, healthcare coverage through year-end for US employees, and equity vesting extended through August.
Clarity did not ease the transition. Cloudflare faced criticism in industry coverage for the timing of the announcement, which came alongside a strong earnings report. But the cultural honesty move held. Employees who were leaving knew why. Employees who were staying knew what had changed. The story was the company’s to tell, not the press’s.
Klarna made a different cultural honesty move, in a different format. In February 2026, CEO Sebastian Siemiatkowski spoke openly on the 20VC podcast about expecting Klarna’s workforce to shrink from 3,000 to under 2,000 employees by 2030, driven by AI absorbing white-collar work. He named the direction. Then he named what was not changing: the roles built on human connection.
“I have people in Portland talking to Nike. I have people in China talking to Shein. I have people in Amsterdam talking to Adyen,” Siemiatkowski said. “I’m still gonna argue that it’s going to be vital to offer a human connection there.” He opened the same conversation by saying “I want to be honest about the fact that I do think there’s going to be a very big shift.” Cultural honesty was not subtext. It was the move he named first.
Cloudflare and Klarna landed on different sides of the Cultural Honesty Map. Cloudflare made a moment legible through specificity and ownership. Klarna made a direction legible by naming what stayed human even as the headcount shrank. Both moves are versions of the same discipline: leaders making the transition visible while there is still time for the team to be part of it.
For marketing leaders, the equivalent moves are not theoretical. They are: naming the AI shift inside the marketing function before the workflow has fully changed; attaching a specific human owner to the consequences when AI-assisted work fails; and saying out loud what work will remain uniquely human regardless of how fast the tooling improves. These are not policy statements. They are structural decisions about who carries the weight of the transition.
WHERE WE LEAVE MARISOL
The conversation she scheduled for the following week
Marisol brought the Cultural Honesty Map to her team the following Tuesday. Rather than presenting her findings, she asked each person to locate themselves on the map first, in writing, before anyone spoke.
The room came back with answers Marisol had not expected. Most of her team did not place her where she had placed herself. The conversation that followed was the first honest one her team had about what the AI rollout had meant to them. Not the metrics. Not the workflow. The version of the future they had been carrying without language for it.
That is where the discipline of cultural honesty begins: not in the announcement, but in the conversation the silence has already shaped. That conversation is what Part 4 examines.
Here’s what’s coming in May:
Part 1: Marisol’s all-hands and the six months her team had been writing a different story. Published.
Part 2: The Cultural Honesty Map. A diagnostic for locating the gap between what you’ve said and what your team has heard. Published.
Part 3 (this post): What three organizations did with the same cultural honesty question, and what their choices revealed.
Part 4 (next week): Marisol revisits the all-hands with new information. What she’d say differently. What she cannot recover. The one question she cannot yet resolve.
About Kim
Kim Celestre is a strategic advisor and executive coach who helps B2B marketing leaders navigate AI transformation without eroding judgment, trust, or human value. Her work is grounded in AIGP-certified responsible AI expertise, executive coaching, and 25 years of Silicon Valley marketing leadership, including 4 years as a Forrester industry analyst.
Sources
McKinsey & Company: Superagency in the Workplace: Empowering People to Unlock AI’s Full Potential, Mayer, Yee, Chui, & Roberts (January 28, 2025).
Fortune: Google’s AI deal with the Pentagon has sparked employee backlash. But don’t expect a repeat of Project Maven, Beatrice Nolan (May 4, 2026).
Cloudflare: Building for the Future, Matthew Prince and Michelle Zatlyn (May 7, 2026).
Fortune: Klarna’s CEO agrees with Dario Amodei. He thinks his white-collar workforce will shrink by a third by 2030, (February 17, 2026).