What Does AI Mean for Traditional Communication Channels?

AI’s impact on traditional internal communication channels has been swift and transformative. In a short period of time, a longer-term shift has been set in motion. Email, intranets, newsletters, employee experience platforms (EXPs) – all are now augmented by AI in some way. 

The result is an AI-enhanced communication ecosystem that poses an existential challenge for established internal channels. 

The death throes of email?

Email has had its last rites read many times, but there’s no doubt its iron grip as the main channel is loosening. This is because AI has changed the game for how employees look for information, and consume that which is sent to them. 
Instead of wading through long announcements or searching their inbox for that HR policy update, time-poor but tool-equipped employees ask AI assistants to “summarize the recent all-hands.” 

Employees are taking greater control over finding the specific information they need, which is changing communication from “broadcast-first” to query-first.” With more focus on information as a search result, communicators need to think much harder about the volume, relevance, and usefulness of the emails they send. 

Summarization to combat scarcity 

The harsh truth is, nearly 7 in 10 UK employees spend just 15 minutes or less per day reading employer updates. Communicators must treat employee attention as a scarce resource. At the click of a button, employees can now (among many other capabilities): 

• Summarize meeting
• Extract action items
• Condense long operational updates 

Filtering and compressing are how people are tackling information overload. Modern internal communications often fail because they simply add digital noise, with workers receiving over 16 corporate emails monthly, taking nearly 52 minutes to read. When you add in intranets, EXPs, newsletters, and town halls, the processing load on employees is enormous. 
AI is challenging the validity of every channel, and the combination with which they’re used. Direct engagement with original communications is falling, while the pressure to be succinct and searchable is rising. 

With so little employee attention up for grabs, channel selection needs to be ruthless, with a focus on evidencing engagement through robust metrics.
It’s personal 

Traditional channels have usually been one-size-fits-all, which is great for consistency but terrible for relevance. 

Now, AI enables dynamic targeting based on:

• Department or function
• Geography
• Role
• Seniority

For example, Sales teams can receive customer-impact summaries for the latest products and solutions. AI systems can also optimize timing, tone, and reading level. 
This poses a conundrum for communicators. Increased personalization is great for specificity, and therefore engagement. Yet it also risks further atomizing communications within organizations, reinforcing siloes and impeding information flows. 

Balancing individual employee preferences with consistency and transparency is a gauntlet AI has thrown at communicators. 

A little more conversation

With the advent of AI, searches and retrievals for internal information are becoming more conversational. Corporate intranets historically suffered from being stuffed with outdated documents, poor search functionality, and fragmented information. This led to frustration and, ultimately, disengagement. 

AI-powered enterprise search enables employees to ask natural-language questions instead of navigating folders, portals, or archives. Rather than being sent around the houses, your people can simply type in, “How do I onboard a contractor at our warehouse in Seattle?” and AI can synthesize the specific:

• HR policy
• Procurement rules
• Security procedures
• Legal documentation
• Workflow instructions 

The rise of AI means employees are fast expecting knowledge retrieval to be frictionless, on-demand, and interactive. Internal communicators can no longer get away with static publishing, allowing documents to gather digital dust. 

Knowledge management – keeping information up to date and accessible – is now a vital foundation of a successful channel strategy. 

Risks and roles in the new reality

In the age of AI, the risks need to be acknowledged alongside the opportunities. Currently keeping communicators up at night are: 

• Hallucinations and inaccuracies

AI-generated internal answers with shadow or unverified tools may confidently provide incorrect and/or misleading policy information. Left unchecked, these could negatively impact internal communication flows, brand perception, and eNPS. 

• Information security

Unofficial AI assistants may expose sensitive data if permissions are poorly configured.

• Over-automation

Employees may distrust communication that feels machine-generated.

• Reduced human interaction

When implemented without a human-centric approach, heavy AI augmentation can weaken informal collaboration, knowledge-sharing, and organizational culture. 

The role of internal communicators is fast becoming AI editors and educators, moving away from crafting and drafting messages to: 

• Checking AI-generated communications for accuracy
• Educating employees on AI hallucination
• Editing AI-created communications for tone, authenticity, and alignment to strategic narrative
• Creating and implementing governance for communications 

The evolution of comms channels

The relentless march of AI doesn’t necessarily mean the end of traditional channels, but there’s no doubt such channels are evolving into AI-augmented ecosystems with a far greater focus on speed, relevance, and conversation. 

Employees are no longer asking “Where was this announced?” but “Can AI tell me what I need to know about X?”

This is a fundamental structural shift in internal corporate communication, and we’re right at the start of it. Exciting!