Voice Economy5 Predictions (& Concerns) for a Voice-Dominated Future

August 11, 2023 | 10 min read

This image was created by artificial intelligence using the following prompts:

A young man in his living room talking to his Alexa smart speaker. Pops of red and teal, Anatomical accuracy, Canon EOS R, Canon EF 85mm/ f 1. 4 L IS USM, aperture of 1. 4, shutter of 1/ 500, ISO 100, super high resolution image, high quality detail, dynamic composition, depth of field, Adobe Lightroom post editing.

The Voice Economy

In a Nutshell

Voice technology promises to become a booming industry… if we can solve a few privacy concerns first. So, is voice tech the “wave of the future” it’s cracked up to be? If not, what would it take to get there? Let’s find out.

The Power of “Voice” Technology for eCommerce

Approximately one in every four adults in the U.S. now owns a smart speaker. This reflects the rapidly growing popularity of voice technology and conversational AI around the globe. So much so, in fact, that these technologies are becoming commonplace in people's lives worldwide.

Systems like Alexa and Google Home have pioneered a fresh avenue for cognitive science research, investigating the impact of user interaction with conversational devices. The accessibility and rising adoption rates of these technologies are shaping consumer behaviors and buying habits. This is made evident by the pervasiveness of voice assistants, increased expenditure on home improvements, and the growing use of mobile devices with enabled voice features.

But, obviously, voice technology also raises a lot of privacy concerns for many consumers. With these objections in mind, we have to ask: is voice technology poised to take over the economy? Or, is it just another bubble ready to burst?

Consumers Anticipate Voice-Connected Technology

Voice User Interfaces (VUIs) provide an efficient customer communication and engagement medium. As people grow more accustomed to real-time digital interactions, businesses can leverage these conversational platforms to deliver quicker responses and enhance customer satisfaction.

Remember, consumers already engage with voice-enabled devices like Alexa and Google Home. So, the concept of a "Voice Economy" isn't really a leap. Rather, it's just building on established and accepted technologies already featured in the average household. 

Nearly 30% of U.S. consumers say they’d pay a monthly fee to access a voice assistant that can do that. Plus, some 100 million consumers use their voice to talk to assistants built into their mobile phones (39%), an app on their smartphones (25%), and connected devices like speakers (27%). A smaller portion of consumers access voice built into their cars (15%) and wearable devices (12%).

Share of consumers who have used voice technology in any of the following ways in the last 12 months:

Number of US consumersShare of US consumers
Used a voice assistant built into my smartphone100.6M38.9%
Used voice-activated device68.5M26.5%
Used a voice-enabled app on my mobile device64.3M24.8%
Called a company’s call center and used its voice command system61.3M23.7%
Called bank and used its voice command system45.6M17.6%
Used voice capabilities built into my car39.0M15.1%
Used voice prompts on my wearable device30.7M11.9%
Used voice-enabled capabilities on my laptop or desktop computer28.4M11.0%
Source: PYMNTS

5 Predictions for a Voice-Dominated Future

The expansion of voice assistance is occurring at a remarkable pace. It's quite plausible that, in the next half-decade, almost every application will be leveraging AI-driven voice technology to some extent. The evolution and adoption of AI voice assistants will be further catalyzed by the increasing intuitiveness, responsiveness, and user-friendliness of voice applications.

On that note, here are 5 industry predictions for the future of voice tech:

#1 Increasingly Personalized Experiences

Personalization extends beyond merely addressing customers by their names in emails. It involves staying attuned to their tastes and preferences and actively engaging them in meaningful dialogues. This personal touch is crucial in fostering enduring relationships.

Businesses can leverage Machine Learning (ML), especially the subset known as Natural Language Processing (NLP), in combination with Sentiment Analysis. This will let them accurately comprehend the crux of customer inquiries and requests. By deciphering the intent behind these requests, brands can swiftly generate precise customer responses.

Consider the role of Conversational AI and Customer-Centric Personalization in companies like Pillo Health. They assist users in managing their medication regimen; monitoring dosage timings, securely storing medication, and dispensing it at the appropriate moment. When a user introduces a new medication into their Pillo account, the robot courteously reminds them to maintain regular intake well in advance of the required administration date.

#2 The Rise of Enterprise Voice Assistants

Prominent brands like Starbucks, Spotify, and eBay have integrated intelligent customer service into their online operations. A standout example of innovative chatbot technology is Erica, the announcement bot from Bank of America. Erica leverages artificial intelligence, complex algorithms, predictive messaging, and various sophisticated techniques to assist customers with payment processing, balance checking, and product exploration.

Meanwhile, Amazon's voice assistant is progressively widening its edge over competitors by introducing Alexa Skills and Alexa Capabilities. Among other novel features, Amazon has empowered developers with the tools needed to create their own Alexa Skills (akin to apps), a distinctive feature absent in other devices.

Alexa Skills can be employed to enhance user experience, dispense information, and boost productivity. For instance, customers can interactively learn about a new product through Alexa's customer-centric methodology. They can pose questions like, "Alexa, how is this product made?"

#3 Integration of Large Language Models (LLMs)

Voice Assistants and speech AI technologies capitalize on Large Language Models (LLMs) capabilities. These LLMs promise to refine call summaries and enhance real-time translation. They can offer insightful hints for sales and support teams during live conversations, and automate mundane tasks in a more natural, less mechanical way.

The time is ripe for creating immersive and interactive experiences involving Voice Assistants. And, as LLMs rise in importance, we can expect to see their broadened functionalities being incorporated into speech AI technologies and Voice Assistants. When might we anticipate such experiences gaining widespread acceptance, though?

As per an Opus Research survey, 13% of participants believe this mass adoption is already underway. 72% foresee voice-enabled experiences becoming extensively adopted within the coming one to five years. Put simply, it's safe to assume that such experiences will be the norm before this decade concludes.

New technologies. New threats. Are you sure your business is protected?REQUEST A DEMO

#4 Standard Voice Assistance in Mobile Apps

Applications that feature built-in AI voice assistants have enhanced user-friendliness and simplified app navigation. Voice-activated apps empower users to manage almost all app features via vocal commands.

This concept mirrors that of text-based chatbots or GUI-based conversational agents. These permit users to explore and access websites through a singular element on the site. However, voice-based navigation offers an even quicker and more effortless experience. This revolutionary approach benefits less technically inclined users who wish to use apps more efficiently, saving both time and effort.

#5 Search Behavior Will Shift

These tools are playing an increasingly crucial role in the eCommerce sales funnel. But, as more online shoppers adopt voice search technologies, it's imperative for eCommerce platforms to equip themselves with tools that facilitate information capture and customer engagement.

Such engagements can help brands forge enduring relationships with customers. According to Juniper Research, consumer expenditure on voice-enabled products is predicted to reach $19 billion by 2022, for example.

Should voice search models prove sufficiently successful, this could herald the advent of a novel advertising avenue. It would be transformative for brands aiming to maintain high visibility for their messages.

Potential Problems of Voice Technology

As with any emerging technology, the voice economy is not without its potential pitfalls. For voice to shape the future as many consumers envision, facilitators of the voice economy must demonstrate its reliability.

It must be shown to help consumers overcome the risks and complexities that currently deter all but the most adventurous technology adopters. Most buyers hesitate to engage in complex activities where the consequences of errors could be catastrophic.

Indeed, a misstep as minor as Google or Alexa delivering a poor joke wouldn't mark a crisis. However, it could turn into a significant issue if a deep fake representation of your voice were to authorize a $10,000 withdrawal from your bank account.

Here are the five main drawbacks voice must overcome to be truly “future-proof”:

#1 Language Input

Voice recognition technology has made remarkable progress. However, AI still needs to refine further — particularly when it comes to identifying voices from diverse demographics. AI voice assistants are noticeably more proficient in recognizing white male voices, for instance. This isn't so much a technological shortcoming as it is a sign of insufficient diverse data for training AI models.

Moreover, inadequately processed inputs can breed frustration and erode customer trust universally. Therefore, it's crucial to develop AI that can discern different dialects, accents, background noises, slang, and even personal nicknames to guarantee an enhanced user experience.

#2 Apprehensive Users

Initial assumptions about voice assistants suggested that younger demographics, particularly millennials and Gen Z, would be the most receptive. However, it appears that older generations (those aged 55 and above) are more enthusiastic about voice assistants than their younger counterparts.

According to a survey by Think with Google, voice-activated speaker adoption rates are soaring among Baby Boomers. Google's data shows that 51% of Boomers use voice assistants as informational companions, rather than just tools for playing music or drafting quick shopping lists.

Additionally, as workers start employing voice-based automation technologies at their workplaces, they are more inclined to incorporate these same technologies into their home settings and personal routines. It's crucial to recognize that customer hesitations do not necessarily reflect negatively on your brand. Instead, these are indicative of a narrowing gap in voice technology adoption, a gap that continues to shrink year on year.

#3 Cybersecurity Concerns

One fundamental aspect of achieving success with any conversational AI application involves fostering a sense of trust and assurance among end-users.

Recent advancements have strengthened privacy and security measures, and users often adhere to rigorous security protocols. Regardless, privacy concerns persist.

A person’s voice and data could be employed for diverse purposes, such as targeted advertising or sharing with third-party firms. It's imperative for companies to prioritize voice-activated devices' privacy policies and data usage. Moreover, it's essential to undertake necessary actions to safeguard users’ personal data when voice applications are in use.

#4 Voice Cloning

Using artificial intelligence, deep neural networks, and cloud-based GPUs, emerging startups are now able to generate a computerized voice that can mimic an individual's own voice. These clones are advanced to a point where it's nearly indistinguishable from a natural person's voice.

The ease with which fraudsters can train voice cloning software to mimic specific voices exposes artists and content creators to the risks of fraud and impersonation. These scenarios provoke discussions about whether artists and content creators should consider copyrighting their voices.

Moreover, such practices can jeopardize people's livelihoods, given the heightened potential for identity theft. This technology can breach privacy and cybersecurity barriers by enabling criminals to circumvent voice-based authentication systems. Such a breach transpired with Centrelink and the Australian Taxation Office (ATO), where fraudsters used synthetic voices to deceive voiceprint security systems designed to verify identities via voice recognition.

#5 Interoperability

Lastly, in order to be truly future-proof, the voice experience also needs to be interoperable and consistent.

The absence of interoperability and consistency creates a bad user experience. There may be too many missteps between devices and apps and operating systems that consumers say wastes time without the certainty of a good outcome.

What's Next?

The future of conversational AI, specifically voice assistance, is extremely promising. Nearly 60% of smartphone users have experimented with voice search at least once in the past year. While not a daily practice for all, many are beginning to appreciate the convenience and accessibility it offers.

By 2024, the global voice-based smart speaker market is projected to be worth $30 billion, signaling the enormous potential of voice assistants. However, each untapped opportunity comes with a countdown to seize it before its competitive edge diminishes. 

Ultimately, where the market heads from here seem to be up to the consumer… but merchants should be paying close attention.

Like What You're Reading? Join our newsletter and stay up to date on the latest in payments and eCommerce trends.
Newsletter Signup
We’ll run the numbers; You’ll see the savings.
Please share a few details and we'll connect with you!
Over 18,000 companies recovered revenue with products from Chargebacks911
Close Form