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September 9, 2024

AI in Sales: Why Humans Are Still Needed


The role of AI in sales isn't to replace humans; it's to amplify them.

Kyle Coleman, CMO of Copy,ai, hits the nail on the head:

Open up your SDR or sales or marketing or ops or CS playbooks to any page. The pages in those playbooks are processes and we can help streamline... not fully automate, but streamline those processes.

That's the crux of it. AI shines in streamlining the grunt work - the repetitive tasks that eat up valuable time. It's about freeing up your team to focus on what truly matters: strategy, relationship-building, and delivering knockout customer experiences.

Remember, AI is a tool, not a replacement. It's there to amplify your team's capabilities, not diminish them. Embrace it, but don't lose sight of the human element that makes sales truly effective.

Why AI Can't Replace Strategic Thinking

AI's making waves in sales, but it's not the be-all and end-all. Sure, it can automate tasks faster and more reliably than most humans, but when it comes to strategy, AI's still playing catch-up to the human brain.

Think about it. Every sales scenario is unique, with its own set of variables, personalities, and nuances. AI might spot patterns, but it can't read between the lines or pick up on subtle cues that could make or break a deal. That's where human intuition comes in, honed by years of experience and countless interactions.

Kyle Coleman puts it bluntly:

You can't outsource strategy... If all we did was ask an AI robot to go and put together some value props for our products, those value props would suck.

Context is king in sales, and AI's still struggling to wear the crown. It can't fully grasp the complexities of a company's culture, industry trends, or the personal motivations driving a potential client's decisions. Humans, on the other hand, can connect dots that aren't always visible in data points.

But the real magic happens when you combine the two.

  • Use AI to gather insights, automate repetitive tasks, and identify trends.
  • Then, let human strategists take those inputs and craft tailored approaches that resonate on a deeper level.

AI handles the heavy lifting of data analysis and initial outreach, freeing up human brains to focus on what they do best: building relationships, solving complex problems, and closing deals with finesse.

Leveraging AI for Personalization at Scale

If we learned one thing from this webinar, it's that gone are the days of generic, one-size-fits-all sales pitches. AI has ushered in a new era of hyper-personalization, allowing sales teams to tailor their outreach with surgical precision.

Here are a few of the ways AI is helping sellers do what they do best: sell.

1. AI-powered email personalization

AI can analyze vast amounts of data to craft emails that resonate on a personal level. They can sift through social media profiles, company information, and past interactions to generate content that speaks directly to each prospect's pain points and interests. The result? Personalized emails that break the ice and set up a more natural human-facing conversation.

Now this part is important to keep in mind: the goal isn't to trick recipients into thinking they're corresponding with a human. It's about using AI to do the heavy lifting, allowing sales reps to focus on adding that extra layer of genuine human insight and empathy.

2. Video personalization techniques

Video is the new frontier in sales outreach, and AI is making it scalable. Imagine being able to send hundreds of personalized video messages without spending weeks in front of a camera. That's the reality AI is creating.

As Melissa Gag points out:

"We leverage AI to actually, similar to a first name placeholder in an email. But instead we put that in video."

This means sales reps can record a single video template, and AI fills in the blanks with personalized information for each recipient. It's like having a clone army of yourself, each delivering a tailored message to every prospect.

3. Maintaining authenticity in AI-assisted communication

Here's the million-dollar question: How do we keep it real when AI is doing so much of the heavy lifting? The key is to use AI as a tool, not a crutch.

The human touch is what turns a good sales pitch into a great one. AI can provide the foundation, but it's up to sales professionals to infuse their communications with genuine insights, empathy, and strategic thinking.

In the end, AI-powered personalization isn't about creating an army of robotic sales reps. It's about giving human sales professionals superpowers, allowing them to connect with more prospects on a deeper level than ever before. And in a world where buyers are bombarded with generic pitches, that personal touch can make all the difference.

Redefining the SDR Role in an AI-Augmented World

The Sales Development Representative (SDR) role is undergoing a major shift. AI is reshaping the landscape, and smart SDRs are riding the wave, hopefully to hitting quota unlike ever before.

Evolution of SDR Responsibilities

SDRs are no longer just email-sending, meeting-booking machines. They're becoming strategic thinkers, relationship-builders, and masters of personalization. AI handles the grunt work, freeing up SDRs to focus on high-value activities that truly move the needle.

As Kyle mentions in the webinar:

The SDR job is very hard. It is nuanced. It is bespoke. It's different at every single company, so no, a single AI SDR cannot possibly do all of the things, the strategy, the thoughtfulness, the execution that needs to be done by a human SDR to create a human sales experience.

AI as a Tool for SDR Efficiency

AI isn't here to replace SDRs; it's here to help them. Think of AI as your personal assistant on steroids. It can:

  • Analyze vast amounts of data to identify ideal prospects
  • Generate personalized email templates and video scripts
  • Automate follow-ups and task scheduling
  • Provide real-time coaching on messaging and timing

Opportunities for Career Growth and Skill Development

As routine tasks get automated, SDRs can focus on developing high-value skills:

  1. Strategic thinking and business acumen
  2. Advanced data analysis and interpretation
  3. Relationship-building and consultative selling
  4. Cross-functional collaboration with marketing and product teams

Kyle Coleman paints an exciting vision:

Imagine a universe where, because SDRs don't have to spend as much time doing the menial, mundane, repetitive tasks, they have the time back to build that real business acumen and sales acumen, and perhaps they can start running some of those down market deals.

The future belongs to SDRs who embrace AI as a powerful ally, not a threat.

The AI-augmented SDR isn't just more efficient; they're more strategic, more valuable, and more likely to climb the career ladder at warp speed.

How to Build Meaningful Customer Relationships with AI

AI's not here to replace your charm or gut instinct. It's your secret weapon for building deeper, more meaningful customer relationships. Think of it as your personal assistant, working tirelessly behind the scenes to help you understand your customers better than ever before.

Step 1: Use AI to Enhance Customer Understanding

AI dives deep into customer data, social media activity, and online behavior to paint a vivid picture of your prospect's needs, pain points, and aspirations.

But here's the thing: this intel is useless if you don't know how to wield it. You need to take these AI-generated insights and infuse them with your human touch. Use this knowledge to craft messages that resonate on a personal level, showing customers you truly get them.

Step 2: Balance Automation with Personal Touch

Automation's great, but nobody wants to feel like they're talking to a robot. The key is to use AI as a springboard for genuine interactions. Let it handle the grunt work - scheduling, data entry, initial outreach - so you can focus on what matters: building real connections.

Use AI-powered tools to personalize your outreach at scale, but always add that human spark. Share a personal anecdote, reference a shared interest, or offer a unique insight that shows you're more than just a well-programmed algorithm.

Strategies for Creating Authentic Connections

  1. Leverage AI for timing: Use predictive analytics to reach out when your prospect is most likely to be receptive.
  2. Personalize beyond the basics: Don't just use their name. Reference recent company news, industry trends, or shared connections that AI has uncovered.
  3. Be transparent: Let customers know when you're using AI to assist you. Honesty builds trust.
  4. Follow up with purpose: Use AI-generated insights to guide your follow-ups, making each interaction more valuable than the last.
  5. Listen actively: AI can analyze call transcripts and email exchanges to help you pick up on subtle cues and preferences you might have missed.

Remember, AI is your sidekick, not the star of the show. It's there to amplify your natural ability to connect, empathize, and build lasting relationships. In the end, it's your human touch that turns a prospect into a loyal customer and advocate.

Step 3: Integrate AI into Your Go-to-Market Workflows

Picture this: your outbound messaging, social touches, and video outreach working in perfect harmony with your ad campaigns, landing pages, and content creation. It's not a pipe dream—it's the new reality of AI-powered workflows.

Kyle Coleman paints this vision: "So now your outbound messaging and your social touches and your video messaging, it combines with the ads you're serving, the landing pages, you have the content that you create, and you create an actual sales and marketing universe that is interconnected and the buying experience that isn't fragmented like that."

AI acts as the connective tissue, ensuring that every interaction a potential customer has with your brand feels personalized and relevant, regardless of the channel.

But how do we make this AI-powered utopia a reality? Here are some best practices for integrating AI across departments:

  1. Start with strategy: Before implementing AI tools, ensure your teams have a clear, unified go-to-market strategy. AI should enhance your approach, not define it.
  2. Break down silos: Foster collaboration between sales, marketing, and customer success teams. AI tools should facilitate information sharing and create a single source of truth.
  3. Choose integrated solutions: Opt for AI tools that play well with others. The goal is to create a tech stack that communicates seamlessly, not a Frankenstein's monster of disjointed platforms.
  4. Prioritize data quality: AI is only as good as the data it's fed. Implement rigorous data hygiene practices across all departments.
  5. Continuous learning: AI models improve with use. Encourage teams to provide feedback and continuously refine your AI-powered processes.
  6. Human oversight: Remember, AI is a tool, not a replacement. Establish clear processes for human review and intervention in AI-generated outputs.

By following these practices, you're not just adopting AI—you're creating a unified, intelligent go-to-market machine. The result? A buying experience that feels less like a fragmented journey and more like a personalized concierge service.

As we navigate this brave new world of AI-augmented workflows, one thing becomes clear: the future belongs to those who can harness the power of AI while maintaining the human touch that builds lasting relationships. It's not about replacing humans with machines—it's about creating superhuman teams that deliver exceptional customer experiences at scale.

Cultivating Uniquely Human Skills in Sales Professionals

In this new world of AI-augmented sales, your humanity is actually your secret weapon. Double down on the skills that machines can't replicate: empathy, creativity, and strategic thinking. These are the traits that'll help you build genuine connections with prospects and navigate complex sales situations.

Embrace continuous learning. The sales landscape is changing rapidly, and the only way to stay relevant is to keep evolving. Seek out opportunities to develop your emotional intelligence, improve your problem-solving skills, and deepen your industry knowledge.

The future of sales isn't human vs. machine. It's a combination of the best of both worlds.

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