5 AI Trends Shaping the Future of Sales

Jarod Greene Avatar photo

Does the idea of artificial intelligence (AI) transforming sales and technical sales make you feel uneasy? It’s a hot topic that sparks excitement and anxiety in equal measure. For some, AI is a tool that will revolutionize business operations. For others, it’s a looming shadow that could disrupt traditional sales roles. No matter where you stand, one thing is certain: AI is here to stay, and its impact on sales is undeniable. 

In this article, we will explore the evolution of AI in technical sales, highlight five trends to watch, and discuss how the future will balance AI tech with human relationships.

The Evolution of AI in Sales

Early AI use cases focused on simplifying data entry and automating manual tasks. Fast-forward to today, where Generative AI is starting to appear in CRM and sales tools, though the examples we see on the market are still very much early products or in the teaser stage, rather than fully integrated solutions.. Vendors are working diligently to build AI into their solutions to streamline routine tasks and unlock new use cases along the way, helping sales leaders, account execs, and presales engineers manage leads, personalize interactions, and even predict buying behavior.

Today’s AI sales tools offer: 

  • Sales forecasting using machine learning
  • Note taking and meeting summaries
  • Sales pitch optimization
  • Sales call insights
  • Technical answers
  • Email generation
  • Qualify leads
  • Objection handling
  • Demo preparation

What is the Future of AI in Sales?

The future of AI in sales is promising, with rapid advancements integrating it across the sales process. 35% of CROs are expected to establish centralized “GenAI Operations” teams by 2025. Bloomberg Intelligence forecasts AI industry growth at a 42% CAGR over the next decade, adding $280 billion in new software revenue.

The current tools offer some level of insight, but they often feel rudimentary and disconnected from the deep learning of your business. With AI’s ability to interpret, learn, and act, the potential for transforming customer-facing teams is massive.  Imagine AI tools that provide highly personalized, actionable insights during sales calls or recommend the next best action based on a nuanced understanding of your business, driven by real-time data analysis.

Top Five AI Trends to Watch

AI is transforming technical sales. It’s changing how salespeople engage and close deals. As innovation advances, sales teams will leverage AI for a competitive edge. Let’s explore the trends shaping the future of sales, including adoption, emerging concerns, and its impact on growth.

The Surge in AI Adoption

AI adoption is picking up speed across industries, with sales teams using it to streamline processes and boost customer engagement. This trend isn’t slowing down, as 47% of top technology officers say that AI is their top budget priority. China and North America are expected to see the most significant economic benefits, with projected GDP boosts of 26% and 14.5% by 2030, totaling $10.7 trillion.

Explosive Growth of GenAI

GenAI is taking off, with US users growing from 7.8 million in 2022 to 77.8 million in 2023, and it is expected to hit 100 million by the end of 2024. This surge shows how quickly these tools are adopted, especially in sales and marketing.

Productivity Gains through AI

GenAI is already driving productivity gains, with top companies anticipating 20% or more gains over the next few years. The key is to find the balance. AI can simplify repetitive tasks in technical sales while keeping personal connections front and center in sales.

AI-Driven Revenue Growth

Most businesses see GenAI as a way to boost revenue, not just reduce headcount. AI could add up to $15.7 trillion to the global economy by 2030, making it a significant force for growth.

Rising Concerns in AI

Despite its benefits, AI brings some worries, especially around data privacy, ethical issues, and job security. In fact, 44% of organizations have reported problems due to AI inaccuracies. Additionally, a quarter of workers (24%) are worried AI will make their jobs obsolete. Companies need to navigate these challenges to make the most of AI.

How is AI Changing the Sales Process?

The rising demand for AI is fundamentally changing the way sales teams work. By shifting the focus from quantity to quality, AI enables the broader revenue-generating teams to collaborate and build stronger, more personalized customer relationships. 

Instead of spending time on mundane tasks like counting calls or searching through notes, sales professionals can now leverage AI to analyze endless amounts of customer data in seconds. They can use these insights to personalize the next step in the customer journey or strategize with colleagues to meet the prospect’s unique requirements.

AI is also changing the sales process by automating routine tasks such as lead scoring, follow-up reminders, and email drafting. Sales teams that embrace AI as a partner rather than worrying about replacement. Reps will find themselves empowered to work toward bigger and better results that once seemed out of reach. The technology frees up time for strategic thinking and deeper connections, making traditional methods of high-volume calling a thing of the past.

Will AI Replace Today’s Salespeople?

While AI offers incredible enhancements, it’s not about replacing human sales roles but augmenting them. Some human skills, like empathy and authenticity, are irreplaceable. Most B2B sales interactions rely on genuine connections with real people. 

Here’s how AI is boosting technical sales performance while preserving that human connection:

  • Efficiency: AI automates time-consuming tasks, freeing up sales teams to focus on building relationships and closing deals.
  • Insightful analytics: With AI, sales teams gain data-driven insights, allowing them to make informed decisions and personalize their approaches.
  • Consistency: AI ensures timely follow-ups and consistent communication, keeping potential customers engaged throughout the sales process.

Check out our blog on AI in sales for a deeper dive into these improvements.

Ethical Considerations

Data privacy and ethical concerns will become prominent as AI usage soars in sales roles and the economy. Vendors and implementers must focus on fairness in AI algorithms and the transparency of decision-making processes.

Bias in AI can lead to inaccurate targeting or exclusion of customer groups if the training data doesn’t represent the whole customer base. This can quickly undermine sales efforts and erode trust. Additionally, the “black box” nature of AI systems raises transparency issues, making it difficult for customers to understand data use and decision-making. As AI-driven sales increasingly depend on customer data, companies must ensure responsible data handling to successfully navigate the future, which will likely involve complex regulations.

Embracing the Future of AI in Sales

AI solutions are becoming an even more significant part of sales and sales engineering, integrating into every aspect of sales cycles. With AI applications like natural language processing and predictive analytics, sales teams are gaining valuable insights into customer behavior, allowing for more personalized interactions. These AI models aren’t just changing how we do business—they’re transforming the customer experience, making it smoother and more tailored to individual needs.

However, as the artificial intelligence market grows, it’s essential to balance the power of big data with the human connections that drive customer satisfaction. It’s clear that while AI can offer incredible tools, like analyzing market trends and improving customer interactions, the real key to success is combining these technologies with the personal touch that builds lasting relationships. Companies that can navigate the AI market by leveraging these tools while keeping customer trust and relationships at the forefront will lead the way in the future of sales.

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Jarod Greene Avatar photo August 28, 2024