Employees moved on AI before leadership's story did.

Three-quarters of frontline staff now use AI at work regularly, yet fewer than a third find what their leaders say about it clear. The gap is credibility, not wording.

Michael Reaney  ·  24 August 2026  ·  4 min read

Three-quarters of frontline staff now use AI at work regularly, yet fewer than a third believe what their leaders say about it is clear. That gap, more than any adoption number, is the one worth a comms leader's attention this week.

BCG's fourth annual AI at Work report, published on 3rd June and based on a global survey of 11,749 workers across 14 markets, found that regular AI use among frontline employees (staff without managerial responsibility) has reached 74%, up more than twenty percentage points in two years. Communication has not kept pace with that shift. Only around a third of respondents said their leadership's messaging about AI was clear, and just 28% saw a strong connection between what leadership says about AI and what the organisation actually does. Close to half now report spending more time managing and directing AI tools than doing the underlying work itself, and the report's authors note that most organisations have not worked out how to convert that saved time into value.

This is not, on the surface, a wording problem. It is a credibility problem, built on a mismatch employees can check for themselves. Staff can see, task by task, whether the AI story leadership tells lines up with what they are actually asked to do with it. When it doesn't, the message stops working regardless of how carefully it was phrased.

It echoes something learned building leadership content in production rather than around it. A weekly executive podcast or a monthly video briefing only earns trust once a listener has checked it against reality a few times running: does what the leader says line up with what people actually see happening week to week. A programme built on a pre-agreed voice and a steady cadence survives that test because it is checkable, again and again, rather than declared once and left to drift. The lesson from BCG's data is the same one, applied to AI specifically: a claim that cannot be checked against daily experience is not a wording problem to be fixed with better copy. It needs to be true first, and then said plainly.

For a comms leader, that reframes the AI update due at the next leadership offsite or town hall. Three questions worth putting to whoever is drafting it:

1. Does the message describe how AI is actually being used on the frontline this month, or how it was hoped to be used at the last strategy review?
2. Is there a mechanism for the message to be checked and corrected against what staff are experiencing, or is it a one-off announcement?
3. If an employee checked today's AI claim against their own week, would it hold up?

Worth reading

• BCG, AI at Work 2026 (fourth annual edition, global survey of 11,749 workers across 14 markets, published 3rd June): the essay above draws on this in full; also worth a closer read for its finding that strategic clarity, not tool access, is what separates organisations converting AI time-savings into value from those that aren't. BCG, AI at Work: Why Strategy Matters More Than Tools
• LinkedIn Engineering, "Engineering the next generation of LinkedIn's Feed": LinkedIn's own account of its move to 360Brew, a single foundation model of roughly 150 billion parameters now ranking the feed, live since March. The model is built to actively downgrade generic, templated posts rather than merely rank them lower by engagement, and treats video as a primary surface rather than a secondary one. It is the mechanism behind a pattern this brief has already tracked: distribution now rewards specific, checkable expertise over volume. LinkedIn Engineering blog
• Corporate Ink, GEO and AI Visibility 2026 Report (150 B2B technology marketing professionals surveyed, including 75 CMOs and VP-level marketers, published 27th May): 40% of marketers already tracking AI visibility report it has lifted qualified inbound pipeline by 5 to 10%, and a further 19% report gains above 10%. Only 34% have a defined AI-visibility strategy, and the gap between the two groups traced closely to one thing: whether marketing knew which channels actually carry weight with the AI systems doing the citing. Corporate Ink, GEO and AI Visibility 2026 Report
• Muck Rack, State of Journalism 2026 (survey of 1,044 journalists fielded 30th January to 2nd March, 897 responses in the final analysis, published 19th March): 82% of journalists now use at least one AI tool in their own reporting, up from 77% the year before. If the reporters producing the earned coverage that AI answer engines already lean on for the great majority of their citations are themselves relying more on AI to find and check facts, the sourcing bar behind any executive quote is rising, not falling. GlobeNewswire, 19th March 2026

The moves

• Assurant appointed Kelli Ertel chief communications officer and chief of staff, effective 23rd July, an expanded dual mandate that puts her on the company's Management Committee overseeing both Communications and Brand.
• Ipsos named Marion Beyret chief communications officer, effective June 2026, reporting to deputy chief executive Alexandre Boissy and taking charge of the company's global communications strategy across its international markets.