AI First is a developing consumer behaviour, rather than an approach to automation.
It wouldn’t be technology, if it wasn’t accompanied by a lot of buzzwords! The industry has really excelled itself recently, popularising such technical terms as large language models (or LLMs), Generative AI, prompt engineering, and now AI agents! Whilst it’s true that AI First may be another buzzword, it does have its roots in the past 30 years of digital consumer behaviour, but why am I talking about AI First not Human First? What is AI First and why do you need it? And isn’t Human AI better?
The evolution of AI First
The key thing to understand about the term AI First, is that it’s a developing consumer behaviour, rather than an approach to automation. Over the past three decades consumers have developed a preference for dealing with brands via digital channels. That evolution continues today as consumers being to embrace AI.
In the 2000s, consumers flocked to the Internet (eventually!) eager to begin their customer journey with a brand via the World Wide Web: we called that Internet First. In the late 2000s, the rise of the smart phone and affordable broadband prompted Mobile First behaviours. Today, we are witnessing the birth of AI First consumer behaviours: when consumers choose AI as their digital channel to engage with news, information, education, brands and commerce.
AI First wouldn’t be arriving at the station without established Internet and mobile behaviours.
The arrival of AI First doesn’t just supersede the previous waves of digital consumer behavior: it meshes with them. Just as Mobile First arrived standing on the shoulders of Internet First, AI First wouldn’t be arriving at the station without established Internet and mobile behaviours. However, the nature and growth of AI First is likely to differ significantly from its two predecessors: and so will the new consumer expectations that accompany it.
New ways of engaging with consumers
AI is already beginning to provide brands with new ways of engaging with consumers and, in the fullness of time, AI will provide consumers more ways of engaging with brands. We will also create a multitude of ways that AI can act as the glue that holds the customer journey together. AI apps and agents will engage with consumers on behalf of brands, with brands on behalf of the consumer, and with other AI apps and agents in order to get the job done.
AI apps and agents will engage with consumers on behalf of brands, with brands on behalf of the consumer, and with other AI apps and agents in order to get the job done.
For example, you can already book a table at some restaurants via their conversational AI app. Chatbots are already in use by a small, but growing number of restaurants to handle reservation enquiries 24 hours a day, but they are becoming more and more advanced. Some are already able to answer your questions about the menu, make recommendations and make a note of your personal preferences for your evening out. Soon more AI services will be able to seamlessly interact with you across chat, telephone and email.
In the very near future, you will be able to task your own AI assistant with booking the table, guided by the preferences you’ve already stored (such assistants have already been developed). The assistant will only involve you as much as your want it to, otherwise it will simply confirm your booking. However, there is a third possibility, your AI assistant could deal directly with the restaurant’s AI assistant (or AI agent), without the need for the protocols and niceties of human conversation. Same result, but faster and more efficient.
The concept of ‘Human AI’
Now, with all this artificial intelligence connecting, communicating and managing your customer journey, it would be all to easy for brands to allow AI to define how your customer experience should be and how best to support it. An AI platform, of any kind, will only be equipped to do this effectively it if has access to the right data. And for AI apps that are going to support and interact with humans, it’s important that that data is provided by humans and that humans are able to guide and play a role in refining AI’s process.
As more conversational AI platforms handle a growing number of customer requests and interactions, brands will want to make sure that their customer service bots meet or exceed customer expectations. After all, a tedious or unfulfilling reservation experience could lead to an increasing volume of lost business. This is where the concept of Human AI comes in. Humans need to be ‘in the loop’ to make sure that the technology serves humans, not the other way around.
“There is no artificial intelligence without human intelligence”
As global analyst firm Gartner says: there is no artificial intelligence without human intelligence. As time goes on, and people become more accustomed to being supported and served by AI, there will be many more changes to consumer behaviour. Although it’s true that AI will be able to leverage the data captured about these changes, human insight will still be required to prioritise that data, to ideate based on the insights that AI provides, and to make the nuanced decisions about how to meet new consumer expectations.
Why would we need a Human AI approach, you may ask? After all, isn’t the promise of AI that it will learn, adapt and create things for us? The short answer is that we need to keep humans in the loop, because human behaviour isn’t a constant. It changes.
We need to keep humans in the loop, because human behaviour isn’t a constant. It changes
Engaging with company chatbots today can still be a little like dealing with the office intern. They’re certainly eager to please, but often they lack specific domain knowledge, communication skills and the ability to recommend how the business can meet customer needs. Many chatbots, even GenAI chatbots, are configured to handle a very limited scope of customer questions. For example, ask for a business address and you may receive a correct answer, but ask if the main entrance is at the front or back of the building and you may get a reply like “sorry, I cannot assist you with that”.
Consumer expectations will continue to rise!
In the early days of customer service chatbots, customers may have been happy to jump call centre queues, immediately be given the right form to fill out, or be able to contact the company 24 hours a day. Today, those core benefits are just ‘a given’. Over time, how efficient a chatbot or AI assistant is in providing the data to answer your query is going become less and less important to you. How an assistant provides you with the help you need and how you feel about that interaction is going to become more important.
As AI First behaviour becomes more commonplace, so will the demand for AI services that put human needs, wants and nuances first. Tech firms, developers, marketing agencies and brands will need to use Human AI strategies, frameworks and practices to meet those rising expectations.
This article first appeared in my monthly AI First newsletter.
Image credit: Carrington Malin via Musavir.ai.