By Will Morey, Managing Director, Gamma Business
In this piece, Will outlines:
- What a ‘post-literate world’ means, and why reading and writing remain essential even if typing becomes less central to human-computer interaction.
- Why generative AI makes voice more powerful and how contextual understanding allows people to express intent instead of memorising commands.
- How AI could change applications and workflows, with users increasingly asking for outcomes while AI works behind the scenes.
- Why voice and communications infrastructure matter.
- How conversations can become organisational intelligence, and how these insights can be translated into meaningful outcomes.
- What businesses should consider in terms of governing conversational data, connecting knowledge to workflows and preparing for interaction models built around intent.
For the last forty years, digital technology has revolved around a surprisingly simple assumption. Humans type, and machines respond.
Whether using a PC, smartphone, CRM system, search engine or collaboration platform, the dominant interaction model has remained broadly the same. We translate our intent into text, and the system translates that text into action.
The keyboard became the gateway to the digital world. But what if that era is beginning to change? Not because reading and writing disappear, but because they stop being the primary way we interact with technology.
A growing number of technology leaders believe we may be approaching the next major shift in human-computer interaction. One that moves us from a world built around screens, keyboards and applications towards one built around conversation, context and AI. If they’re right, the implications could be profound as we move towards a post-literate world.
The post-literate idea
The term ‘post-literate’ sounds more dramatic than it really is. It doesn’t mean literacy becomes less important. It means literacy might no longer be the primary interface between humans and technology.
For most of human history, knowledge was shared through speech. Stories, learning and expertise moved through conversation long before they moved through books.
Writing expanded our ability to preserve and distribute knowledge. Digital technology accelerated that further. Now, AI may be reducing some of the issues that made keyboards and screens essential in the first place.
Speaking is often faster than typing, and listening can be easier than reading. Podcasts remain popular as conversation remains the most natural communication interface humans have ever developed. The real question isn’t whether people stop reading – it’s whether technology still needs us to type.
Why AI changes the equation
Voice interfaces have existed for years. Siri launched in 2011, and Alexa followed in 2014. Yet neither fundamentally changed how most people interacted with technology. The reason? Humans still had to adapt to the machine.
Users needed the right commands, the right phrasing and the right sequence of actions. The interaction remained constrained by the software behind it. Generative AI changes that dynamic.
For the first time, machines are becoming increasingly capable of understanding context, ambiguity and intent in natural language. Instead of learning how software works, users can increasingly describe what they want to achieve.
It sounds like a subtle shift. But actually, it could be one of the most significant changes in the history of computing. The deeper change, rather than being from keyboard to voice, is from navigation to intent.
For decades, users have been expected to understand applications, menus and workflows. Increasingly, they may simply describe an outcome and allow technology to determine how it gets done. Voice becomes important because it’s one of the most natural ways humans express that intent.
The smartphone might not be the final destination
One of the strongest signals comes from an unlikely place. The people who helped create the modern smartphone era are actively exploring what comes next.
Sam Altman and Jony Ive have publicly discussed ambitions to rethink how humans interact with AI. Their collaboration has been widely reported as focusing on new categories of AI-native devices rather than simply creating another smartphone.
Whether their specific product succeeds is almost secondary. The more interesting point is that some of the most influential figures in technology appear to believe that today’s interaction model isn’t the final destination. The keyboard, touchscreen and app-centric world may eventually look less like the end state of computing and more like a transitional phase.
The disappearance of the application
A second consequence follows quickly behind. Most digital experiences today are organised around applications. Need customer information? Open a CRM. Need a document? Open a document platform. Need analytics? Open a reporting tool.
But people rarely care about applications. They care about outcomes. Historically, applications were necessary because humans had to manually navigate systems and workflows. AI begins to challenge that assumption.
Imagine saying:
- ‘Prepare me for my next customer meeting.’
- ‘Identify every stalled opportunity worth over £50,000.’
- ‘Summarise the major themes from the last month’s leadership discussions.’
The user is now starting with the outcome. The workflow may increasingly disappear behind the conversation. The interface becomes intent rather than navigation.
Why does this matter for communications?
This is where the discussion becomes particularly interesting. Some observers assume AI reduces the importance of communications. The opposite may be true.
If conversation becomes a more important interface for accessing knowledge, coordinating work and triggering action, communications become increasingly central to how organisations operate. Every AI interaction relies on underlying communications capabilities:
- Connectivity
- Identity
- Security
- Voice
- Messaging
- Collaboration
- Trust
As AI becomes embedded across more business processes, the volume of interactions is likely to increase. Humans will communicate with humans, humans will communicate with AI, and increasingly AI systems will communicate with each other.
All those interactions depend on communications infrastructure. Far from becoming less relevant, communications could become one of the foundational layers of the AI economy.
From communications to intelligence
Historically, the role of communications technology was connection. Connecting people to colleagues. Employees to customers. Organisations to partners. That remains enormously valuable, but AI introduces another layer of possibility.
Conversations can now be transcribed, summarised, searched, analysed and connected to workflows. In doing so, they become more than exchanges of information. They become a source of organisational intelligence.
Every meeting, customer call and collaboration session has the potential to create knowledge that can be reused long after the conversation itself has ended. Voice has evolved beyond simply a communications channel. It increasingly becomes a source of insight.
What should businesses be thinking now?
If this shift continues, the implications extend beyond technology. Many organisations have spent years optimising applications, platforms and user experiences. The next challenge may be understanding how conversations, knowledge and workflows connect together.
That raises some important questions. If AI assistants increasingly sit between users and applications, where does value move? If conversations become business assets, how should they be managed, governed and secured?
If users care less about navigating software and more about achieving outcomes, how should organisations think about communications, collaboration and customer experience? The answers remain uncertain. But they point towards a future in which communications play a broader role than many currently assume.
What’s the bigger question?
The future may not be post-digital. It may not even be post-smartphone, but it could be post-keyboard.
Perhaps the real shift is not from screens to voice, but from navigation to intent. For decades we have adapted ourselves to technology, learning applications, processes and interfaces to get things done.
AI hints at a different possibility. A world in which technology adapts to us. If that happens, conversation may become one of the most natural ways to access knowledge, coordinate work and trigger action.
So, if conversation becomes more important, so too do the technologies that make those conversations possible. The question isn’t whether the keyboard disappears. It’s whether we’re beginning to see the first signs of what comes next.
Will Morey is the Managing Director of Gamma Business and brings nearly 30 years of experience in the technology industry. A passionate channel leader and entrepreneur, Will co-founded and grew several successful businesses including The EnableX group including Pragma with a particular focus on UCaaS, cybersecurity, and SaaS. He previously held leadership roles at Crane and Westcon, and also spent time in central government working to attract foreign direct investment into the UK tech sector.
Will is deeply committed to unlocking the potential in people and partners. He is known for his collaborative leadership style and long-term approach to building trusted relationships—helping resellers grow and thrive in a fast-moving market. His career has been shaped by a belief in the power of technology and people to drive real impact.
Don’t forget to follow Will on LinkedIn.
Quick Answers: The End of the Keyboard? What a Post-Literate World Could Mean for Voice
What does a ‘post-literate world’ mean?
A post-literate world does not mean that reading or writing disappears. It describes a future in which text is no longer the main interface between people and technology. Users may increasingly speak naturally to AI systems, express the outcome they want and allow the technology to interpret their intent.
Will AI replace keyboards and screens?
AI is unlikely to make keyboards and screens disappear completely. Instead, it may reduce how often people need them by making voice and conversational interfaces more practical. The most significant change may be a move from navigating applications manually to describing an intended outcome.
Why is generative AI different from earlier voice assistants?
Earlier voice assistants depended heavily on fixed commands and precise phrasing. Generative AI can interpret natural language, context, ambiguity and intent more effectively. This allows users to explain what they want to achieve rather than learning the structure of the software.
How could AI change the role of business applications?
AI assistants could become an interface across multiple business applications. Instead of opening separate systems for customer data, documents or analytics, a user could request an outcome in natural language while the AI coordinates the necessary information and workflow behind the scenes.
Why will communications infrastructure be important in an AI-driven world?
AI-enabled conversations depend on reliable connectivity, verified identity, security, voice, messaging, collaboration and trust. As humans communicate with AI systems—and AI systems communicate with each other—communications infrastructure becomes a foundational layer for accessing knowledge, coordinating work and triggering action.
How can voice conversations become organisational intelligence?
AI can transcribe, summarise, search and analyse meetings, customer calls and collaboration sessions. When these conversations are connected to knowledge systems and workflows, they can create reusable insight instead of remaining isolated exchanges of information.
What should businesses do to prepare for conversational AI?
Businesses should identify outcome-led use cases, connect trusted knowledge to workflows and define how conversational data will be secured, governed and retained. They should also assess whether their communications infrastructure can support reliable AI interactions across employees, customers and systems.
