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AI Isn’t Replacing Salespeople, It’s Giving Them a Competitive Edge

By Sean O'Shaughnessey

AI isn’t replacing salespeople, it’s making them more effective. The real risk isn’t losing your job to AI; it’s losing to a competitor who uses AI better than you do. Sales professionals who integrate AI into their workflow will outperform those who don’t.

It’s not about technology taking over but about using technology to gain an edge. The market is becoming increasingly competitive, and the most efficient salespeople will emerge victorious.

Time is a salesperson’s most valuable asset.

Every minute spent on administrative tasks is a minute not spent selling. AI helps reclaim those lost hours. Tools that automate writing, scheduling, and research allow salespeople to focus on what matters: building relationships and closing deals. If you’re not leveraging AI to increase productivity, you’re leaving opportunities on the table.

Sales emails need to be clear and professional. AI-powered writing assistants ensure your messages are polished and effective. A poorly written email can cost you a deal. AI tools catch grammatical mistakes, improve clarity, and even suggest more effective phrasing. This isn’t just about looking professional; it’s about being understood.

If your message isn’t clear, it won’t convert.

Presentations are another time-consuming task. AI can generate professional decks in minutes. Instead of spending hours designing slides, salespeople can focus on developing effective strategies. AI-powered tools create branded, structured presentations based on simple inputs. This ensures consistency while saving time. Sales professionals who utilize AI for presentations can focus on delivering insights rather than formatting slides.

CRM systems are the backbone of sales operations. AI enhances CRM by automating data entry, tracking customer interactions, and suggesting next steps. Salespeople often struggle with keeping CRM data updated. AI reduces this friction by automatically capturing and organizing information. A well-maintained CRM leads to better forecasting and stronger customer relationships.

If your CRM doesn’t have AI capabilities, it’s time to upgrade.

AI-driven insights enable sales managers to make more informed decisions, rather than relying on instinct. Managers can use AI to analyze performance trends, identify coaching opportunities, and predict revenue outcomes. AI doesn’t replace leadership; it enhances it.

Sales managers who adopt AI can build stronger teams and achieve better results. Ignoring AI in sales management is a strategic mistake.

Lead generation is another area where AI adds value. AI-powered tools can analyze vast amounts of data to identify high-potential prospects. Instead of spending hours researching leads, salespeople can receive AI-generated recommendations. This allows for more targeted outreach and higher conversion rates. AI doesn’t just find leads, it finds the right leads.

Sales follow-up is often inconsistent. AI ensures follow-ups happen at the right time with the right message. Automated reminders and AI-generated responses keep deals moving forward.

A well-timed follow-up can be the difference between closing a deal and losing it. AI helps salespeople stay on top of their pipeline without relying on memory.

Read the rest of the article…

From Manual to Automated: A Sales Pro’s Guide to Zapier, Make.com, n8n, and Pipedream

By Sean O'Shaughnessey

A sales manager recently told me something that stuck: “We went from twenty hours per week of manual work to two hours. Our lead response time dropped from four hours to four minutes.” That dramatic transformation wasn’t magic—it was automation.

The reality is that sales teams today have more automation tools available than ever before. But with options like Zapier, Make.com, n8n, and Pipedream, the real challenge isn’t whether you should automate—it’s choosing the right platform for your team. Each one comes with strengths, limitations, and unique philosophies. Get that choice wrong, and you’ll waste time, money, and buy-in. Get it right, and you’ll see efficiency gains that completely reshape your sales process.

Why Platform Choice Matters

Many sales teams stumble when they underestimate the cost of a mismatched platform. Some platforms are too simple to scale beyond basic automations. Others are too complex, leaving non-technical teams overwhelmed and projects abandoned. Switching platforms midstream is not only disruptive—it’s expensive and time-consuming. Integration limitations, hidden in the fine print, often surface only after a team has invested weeks in setup.

The right platform, however, unlocks real productivity gains. I’ve seen companies scale from five to fifty automations without hiring additional staff. I’ve seen sales teams reduce errors through automated data transfers, and I’ve seen response times improve from hours to mere minutes. Those results come from aligning platform capabilities with team comfort and long-term strategy.

Breaking Down the Four Platforms

Zapier is often the starting point. It’s user-friendly, highly intuitive, and backed by the largest integration library in the market. For sales teams with little to no technical experience, it’s a great way to achieve quick wins—connecting CRMs, email platforms, and lead management tools in minutes. The trade-off, of course, is cost at scale and limited customization for advanced workflows.

Make.com represents the next step up. It’s a visual workflow builder designed for teams that need more sophisticated automations but still want a no-code interface. It handles complex branching logic, advanced data transformations, and high-volume workflows at a fraction of Zapier’s cost. But it comes with a steeper learning curve and requires more planning.

n8n is the open-source powerhouse. Unlike Zapier or Make.com, there are no artificial limits on workflow complexity or execution. It can be self-hosted, giving technical teams total control over security, customization, and cost. It’s ideal for organizations with developers or strong technical resources. The downside? It requires real expertise, both to implement and to maintain.

Finally, there’s Pipedream, which includes String. It blends accessibility with developer power, offering real-time event processing, API flexibility, and built-in coding support for JavaScript and Python. It’s the platform of choice for teams that want advanced, responsive automations but are comfortable getting hands-on with APIs and code when needed.

Matching Platforms to Your Team

The key to success is not asking which platform is “best,” but which is “best for us.” If your team is non-technical and just needs quick, reliable automations, Zapier is the natural fit. If you want advanced workflows without hiring developers, Make.com is the right middle ground. If you have developers or strong technical resources, n8n gives you unlimited control at a fraction of the long-term cost. And if your workflows demand real-time responsiveness and advanced API integrations, Pipedream is worth serious consideration.

Think carefully about your team’s technical comfort, the complexity of your use cases, your budget for scale, and your integration requirements. These factors should guide your decision far more than flashy features or marketing claims.

Taking the First Step

The best way to move forward is to experiment. Sign up for free accounts on two platforms and run the same simple workflow in each. For example, capture a new lead from your website, push it into your CRM, and trigger an automated welcome email. Watch how each platform handles it. Document the process, note the pain points, and gather feedback from your team.

Once you’ve seen the difference firsthand, you’ll know where to invest. Start small, prove the value quickly, and then scale. Over time, your automation strategy can evolve into a foundational pillar of your sales operations.

You can learn more by listening to my podcast episode for AI Tools for Sales Pros. Check out the episode here:

Join the B2B Sales Lab

If this episode leaves you curious—or perhaps a bit overwhelmed—remember that you don’t have to navigate these decisions alone. Inside the B2B Sales Lab, you’ll find sales professionals who are actively testing these platforms, sharing workflows, and troubleshooting challenges. It’s a private, member-led community where sales pros exchange real-world experience, not theory.

Designed and led by veteran sales leaders, the Lab is where strategy meets execution. Whether you’re evaluating platforms, designing your first automation, or scaling to dozens of workflows, you’ll find actionable insights and peers who’ve been there before.

👉 You can join today with a free 90-day membership at b2b-sales-lab.com.

From Reporting to Coaching: Elevate Your One-on-One Sales Meetings to Drive Performance and Trust

By Sean O'Shaughnessey

A one-on-one sales meeting is not a reporting meeting. It’s not about reviewing what already happened. And it’s definitely not about the manager doing most of the talking. The purpose of a one-on-one pipeline review is to develop the salesperson, surface challenges, and accelerate opportunities. If your one-on-ones are anything less, you’re leaving performance on the table.

Sales leaders often default to micromanagement.

Especially when the rep is new or struggling. But that approach backfires. It creates dependency and stifles problem-solving. The goal is to coach your reps into leading the meeting. That shift changes everything. When reps own the agenda and bring forward deal-level insights, they’re forced to think critically. That’s where growth happens.

If you’re leading a sales team or are a CEO playing the role of sales manager, you need to establish a clear structure. But the rep does the prep. You define the meeting cadence and format. Weekly or bi-weekly, depending on your velocity. You outline the sections: committed deals, stalled deals, and at-risk deals.

But the rep fills in the content. They come to the meeting ready to walk you through each opportunity, with specific updates and clear asks.

Preparation is non-negotiable. For both sides.

The salesperson should have updated their CRM before the meeting. The manager should have reviewed that data in advance. If either party shows up unprepared, the meeting becomes reactive.

A waste of time. And it erodes trust quickly.

Reps notice when you haven’t read the notes. They know when you’re winging it. And if they feel their effort isn’t valued, they’ll stop putting in the effort.

You want to create a culture where preparation is expected and rewarded.

The fastest way to management failure is to ask questions that could have been answered by reading the CRM. Instead, use that time:

To probe deeper.
Ask about the deal strategy.
Challenge assumptions.
Help salespeople spot gaps they missed.

That’s where your experience has real value.

It’s tempting to jump in and solve the problem. Especially when you see the red flags before the rep does. But resist the urge. Let them talk it through. Coach them toward the insight. Your job isn’t to close the deal; it’s to build someone who can. That means teaching them how to identify weak spots, how to pressure test a deal, and how to re-engage a stalled buyer. The real value of one-on-ones is in that development.

Think about how you coach.

Are you diagnosing for them? Or are you helping them diagnose for themselves? When a rep says “this deal is solid, no issues,” that’s a red flag. Every deal has risk. Your job is to help them uncover it. Ask: “What’s the biggest thing that could derail this?” Or “What’s the last thing the buyer said that gave you pause?” These questions surface the truth. And they teach reps to self-assess more effectively.

There’s a fine line between coaching and grading. You want reps to be honest about their pipeline without fear of judgment.

If a deal is weak, that’s not a character flaw. It’s a coaching moment.

Read the rest of the article…

APIs Explained for Sales Leaders: Drive Growth Without Extra Headcount

By Sean O'Shaughnessey

A sales manager recently told me, “I have to copy the same prospect data into five different tools. There has to be a better way.” That frustration is more common than most sales leaders realize, and fortunately, there is a better way.

The reality is that sales teams are hemorrhaging productivity due to disconnected systems. Top performers spend hours manually entering data, bouncing between platforms, and correcting inevitable errors. This administrative overhead steals time from the only activity that drives revenue: selling.

At Oracle, TIBCO Software, and Red Hat, we used to call this “system integration.” Today, the language has shifted, and we call it APIs. But while the terminology may have evolved, the underlying solution remains powerful—and far more accessible than ever. APIs act like invisible bridges, allowing your tools to communicate seamlessly without human intervention.

Think of APIs as the waiter in a restaurant. Your CRM (the customer) tells the waiter what it wants. The waiter goes to the kitchen (the external service), retrieves the order, and delivers it back to the table. Your sales team never sees the behind-the-scenes work, only the results. That’s the beauty of APIs: they quietly enable speed, accuracy, and scale.

The impact on sales organizations is profound. With API integrations in place, companies reduce administrative work by huge percentages, improve data accuracy through automated syncing, and shrink research time from hours to minutes. Sales velocity climbs when tools communicate directly, and managers gain real-time pipeline visibility that simply isn’t possible otherwise.

No-code integration platforms like n8n, Zapier, Make.com, and Microsoft Power Automate make APIs accessible to every sales team. Whether it’s automating lead enrichment, triggering email sequences, streamlining forecasting, or even preventing churn, APIs unlock productivity and accuracy at every stage of the sales process. These aren’t theoretical benefits—they’re measurable gains that compound over time.

The real question isn’t whether your team can benefit from APIs, but whether you’re willing to make the leap. Ask the right questions of your vendors. Start small with one or two integrations. Document and test your processes. And most importantly, free your team from administrative busywork so they can focus on delivering value to customers.

The future of B2B sales isn’t about choosing between humans and AI. It’s about humans amplified by AI. Let’s build that future together.

If you’d like to explore this topic in more depth, there’s a podcast episode that covers all of this information and more. You can find the link below and consider subscribing to the podcast AI Tools for Sales Pros on your favorite podcast player.

ChatGPT vs. Claude vs. Gemini vs. Copilot: Which AI Wins in Sales?

By Sean O'Shaughnessey

A few days ago, a sales manager asked me which AI platform to use for writing cold emails. I told him it depends on what kind of emails he’s writing, and he looked confused. That confusion is common and costly. ChatGPT, Claude, Gemini, and Copilot all look similar at first glance, but in reality, they serve very different purposes depending on your sales workflow.

Choosing the right platform matters because the wrong choice drains time, creates change fatigue, and erodes ROI. Companies that align platform strengths to sales use cases are seeing dramatic results: 40% higher email response rates, 60% faster proposal generation, and triple the efficiency in call preparation. The stakes are high, and the decision deserves more than guesswork.

ChatGPT: The Versatile Performer
ChatGPT shines when creativity and personality are critical. It’s excellent for cold emails with humor, social selling posts, objection-handling scripts, and meeting prep. The downside? It can be verbose and sometimes casual for executive communication. If your team thrives on creativity and prospecting with personality, ChatGPT is a strong choice.

Claude: The Professional Communicator
Claude specializes in polished, business-appropriate communication. It’s strong for executive proposals, deal analysis, contract prep, and professional email sequences. While less creative than ChatGPT, it’s ideal for enterprise and strategic sales where tone, nuance, and professionalism are paramount.

Gemini: The Integrated Researcher
Google’s Gemini offers real-time research, market intelligence, and smooth integration with Google Workspace. It’s especially powerful for sales teams who rely heavily on spreadsheets, Gmail, and real-time prospect research. However, it may produce generic copy and come with potential data privacy concerns.

Copilot: The Enterprise Integrator
Microsoft Copilot excels in environments already standardized on Microsoft tools. Its strength lies in Outlook automation, PowerPoint proposals, Teams prep, and CRM integrations. While it can feel corporate and less creative, it’s perfect for organizations that value compliance, governance, and seamless integration across Microsoft 365.

Making the Right Choice
The best AI platform isn’t the one with the flashiest marketing; it’s the one your team will consistently use. Start by mapping your use cases: creative outreach, professional communication, research, or enterprise integration. Then run pilot programs, measure results, and refine your approach. Many sales teams find value in using more than one platform, each aligned to a different stage of the sales cycle.

The future of B2B sales isn’t about choosing between humans and AI. It’s about humans amplified by AI. Let’s build that future together.

If you’d like to explore this topic in more depth, there’s a podcast episode that covers all of this information and more. You can find the link below and consider subscribing to the podcast AI Tool for Sales Pros on your favorite podcast player.

Cut Through the AI Hype: Practical Definitions for Sales Professionals

By Sean O'Shaughnessey

Artificial intelligence is transforming sales, but too many leaders are investing in tools they don’t fully understand. The result? Costly mistakes, poor adoption, and missed opportunities. This episode of AI Tools for Sales Pros breaks down the three core technologies behind AI:

Machine Learning (ML),
Natural Language Processing (NLP),
Large Language Models (LLMs)

and explains them in plain language that every sales professional can use.

The episode compares the current AI confusion to the database revolution of the 1990s. Just as sales leaders once needed to grasp relational databases or virtualization to sell effectively, today’s leaders must understand AI fundamentals to buy, implement, and coach effectively. Without this knowledge, vendor meetings become traps where features outshine true solutions.

Why Sales Leaders Need to Understand AI

Vendors are selling “AI-powered” tools that are often just automation with marketing polish.
ROI depends on knowing what you’re really buying.
Sales reps look to leadership for clarity and coaching on new technologies.
Competitive advantage comes from strategic implementation, not just adoption.

The Three Core AI Technologies

Machine Learning (ML): The pattern recognition engine. It predicts outcomes by analyzing historical sales data. Use cases: lead scoring, deal risk analysis, forecasting.

Natural Language Processing (NLP): The communication translator. It helps machines understand and analyze human conversations. Use cases: call transcription, sentiment analysis, chatbots, and objection detection.

Large Language Models (LLMs): The content creation powerhouse. They generate human-like content at scale. Use cases: personalized emails, proposals, meeting prep, follow-ups.

When the Technologies Work Together

The magic happens when ML, NLP, and LLMs integrate. Imagine: ML identifies the best prospects, NLP uncovers their communication style, and LLMs create personalized outreach. Companies are seeing 30%+ response rates with this integrated approach.

Misconceptions and Realities

Myth: AI replaces humans. Reality: It augments judgment.
Myth: More AI equals better results. Reality: Focused use beats scattered adoption.
Myth: AI requires massive data. Reality: Many sales AI tools work with modest data sets.

Action Steps for Sales Leaders

Audit your current tools—identify which technologies you’re already using.
Apply the vendor evaluation framework before making new purchases.
Share these simplified definitions with your team.
Connect with peers in the B2B Sales Lab community to learn from real implementations.

AI competency isn’t about programming—it’s about making better buying decisions and leading your sales team strategically. The future of B2B sales is not humans vs. AI—it’s humans amplified by AI.

👉 Register for your free 90-day membership at b2b-sales-lab.com and join the conversation.

AI in B2B Sales Isn’t Optional Anymore

By Sean O'Shaughnessey

Several months ago, I was serving as a fractional VP of Sales for a $50 million manufacturing company. Their top salesperson was a 15-year veteran who knew the industry inside and out. Yet he was consistently being outsold by a competitor’s much newer hire. At first, it didn’t make sense until we discovered the reason.

The competitor’s rep wasn’t just more energetic or aggressive. They were AI-enabled. While my client’s rep was manually scrolling LinkedIn and drafting emails from scratch, the competitor’s rep was using AI tools to research prospects, craft personalized outreach, and prepare for meetings. In other words, the competitor had a partner working 24/7—freeing them to focus on what humans do best: building trust and closing deals.

That was the turning point. I realized we weren’t just competing against other salespeople anymore. We were competing against AI-enhanced sales teams.

The Most Urgent Technology Wave in Sales

Throughout my career, I’ve watched new technology waves disrupt the sales profession. Robotics transformed manufacturing in the 1980s. Solid modeling replaced drafting tables in the 1990s. Cloud computing reshaped IT in the 2000s.

Each time, early adopters gained the edge while laggards struggled to catch up. The AI wave is different for two reasons:

It’s broader: touching every aspect of sales, from prospecting to forecasting.
It’s faster: companies have months, not years, to adapt before the competitive gap becomes overwhelming.

AI in sales isn’t coming. It’s already here.

The Four Pillars of AI Sales Transformation

To make sense of AI’s role in sales, I use a framework I call the Four Pillars of AI Sales Transformation.

1. Efficiency Amplification

Salespeople lose hours each week on research, data entry, and administrative tasks. AI automates these repetitive activities, turning wasted time into revenue-generating capacity. If a rep with a $2 million quota spends 40% of their time on admin work, reclaiming even half of that time can translate into hundreds of thousands of dollars in additional revenue potential.

2. Personalization at Scale

Buyers expect relevance. AI enables sales teams to tailor outreach at a scale that was previously impossible. One client of mine went from producing 10 personalized emails per day to 500, each one referencing company news, industry pain points, or competitive dynamics. The result: higher engagement and faster response times.

3. Predictive Intelligence

AI spots patterns humans miss. It identifies which deals are at risk, when prospects are most likely to respond, and which leads are worth pursuing first. For one client, simply shifting demos to Tuesday afternoons increased conversion rates by 40%. When your competitors are guessing, AI gives you confidence.

4. Continuous Learning & Optimization

Unlike static playbooks, AI evolves. It analyzes win/loss data, tests messaging, and provides real-time coaching insights. One client discovered that pricing discussions were their biggest choke point. AI flagged the pattern, we built automated battlecards, and close rates improved by 18%.

Real-World Results

These aren’t theoretical benefits. In my own client work:

An AI-powered prospecting rollout increased appointment-setting rates from 8% to 23% in just six weeks.
A lost-deal analysis uncovered patterns that helped recover $2 million in the pipeline.

The reality is clear: companies already experimenting with AI are pulling ahead. Those who delay are watching the gap widen daily.

Three Things You Can Do This Month

If you’re ready to start, here are three immediate steps:

Audit your workflow. Identify one repetitive task you can automate—prospect research, meeting prep, or follow-up emails.
Pilot an AI tool. Start small with an affordable, no-code platform. Many cost less than $200/month.
Learn with others. Don’t navigate this change alone. Surround yourself with peers who are experimenting, learning, and winning with AI.

Join the B2B Sales Lab

The best way to accelerate your adoption is to connect with others on the same journey. That’s why we built the B2B Sales Lab, a private, member-led community for sales professionals who want actionable insights, not theory. It’s where strategy meets execution.

In the Lab, you can:

Ask real questions about sales challenges.
Share proven best practices.
Learn from other sales professionals and veteran leaders.

Your first 90 days are free. Join us today at b2b-sales-lab.com.

The future of B2B sales isn’t about choosing between humans and AI. It’s about humans amplified by AI. Those who adapt now will thrive. Those who wait may not get the chance to catch up.

To learn more, listen to this podcast on the subject.

Two Tall Guys Talking Sales – Workflows, Automation, and AI: Building a Smarter Sales Organization – Episode 145

By Sean O'Shaughnessey

In this compelling episode, co-hosts Kevin Lawson and Sean O’Shaughnessey delve into the crucial distinctions between workflows, automations, and artificial intelligence (AI), and why understanding these differences isn’t just technical trivia, but foundational to improving sales processes, enhancing sales management, and accelerating revenue generation. If you’re a sales leader, business owner, or B2B rep striving to improve how you use technology to boost sales success, this episode is a must-listen. Packed with real-world examples and expert commentary, you’ll walk away with a clearer understanding of how to integrate automation and AI into your selling environment without losing the human touch that drives value selling.

Key Topics Discussed

The Distinction Between Workflow and Automation (approx. 01:00)
Kevin and Sean explain that workflows are rule-based sequences (what should happen), while automations are system-triggered actions (when they happen).
Applying Workflow and Automation to Common Sales Scenarios (approx. 03:00)
Sean walks through onboarding, fulfillment, and follow-up processes that can be automated to save time and reduce human error.
The Role of AI in Enhancing Sales Tasks (approx. 05:00)
Discover how AI moves beyond automation by adding intelligence and insight, like writing customized thank-you messages or enriching CRM data.
What Sales Leaders Should Expect from Modern CRM Systems (approx. 12:00)
Sean lays out a vision of AI-enabled CRMs that proactively suggest key contacts and actions for deeper account penetration.
Creating Sales Infrastructure That Supports Scale (approx. 09:00)
Kevin emphasizes how business logic, automation, and AI build a more agile, informed sales team that’s prepared for disruption.

Key Quotes

Kevin Lawson (approx. 00:46):
“Workflows are trigger-based events that tell business logic what to do next… but automation is what makes things happen automatically, without human intervention.”
Sean O’Shaughnessey (approx. 05:43):
“We used to personalize thank-you letters with a person. Now we can automate that process and use AI to generate something that’s still meaningful but takes no time.”
Kevin Lawson (approx. 10:00):
“AI plus workflows plus automation creates the bedrock for a better sales organization… a more nimble organization that can adapt to changes in the environment.”
Sean O’Shaughnessey (approx. 13:08):
“Does your CRM say, ‘Did you know there are three directors of manufacturing at that company?’ That’s where workflows, automation, and AI converge to fuel revenue growth.”

Additional Resources

Join the B2B Sales Lab Community – A peer-driven space where sales professionals, managers, and leaders exchange insights, share best practices, and build smarter revenue systems.

A Significant Actionable Item from this Podcast

Audit your CRM and lead-handling processes.
Ask yourself: Is my CRM working for me, or am I working for it? Review whether incoming leads are routed automatically, if emails are logged without manual entry, and whether sales leaders receive alerts on stalled opportunities. Implement at least one automation or AI-powered enhancement, such as auto-logging emails or enriching lead data, to eliminate repetitive tasks and enable your team to focus on strategic selling.

Why You Should Listen Now

This episode isn’t just a primer on sales tech buzzwords; it’s a blueprint for operational excellence in B2B sales. Kevin and Sean break down complex topics with clarity and offer practical advice that can immediately improve your sales team’s responsiveness, accountability, and business acumen. If you’re serious about building a scalable sales infrastructure, aligning your team with cutting-edge sales strategies, and using AI as a force multiplier for your messaging and revenue management, then queue up this episode today. You’ll walk away with new ideas, sharper thinking, and a to-do list worth acting on.

B2B Sales in the Age of AI: Why Top Salespeople Will Thrive While the Repetitive Roles Disappear

By Sean O'Shaughnessey

The buzz surrounding artificial intelligence has left many professionals wondering about the future of their careers. For B2B sales professionals, the rise of AI presents a fundamental question: Will AI replace salespeople?

The short answer is no, but it will replace some of their work. More accurately, AI will redefine the B2B sales landscape by eliminating lower-value activities, consolidating support roles, and enhancing the capabilities of top performers. In doing so, it will widen the gap between average and great salespeople.

Several years ago, I wrote a similar explanation about the fear that “the internet” would replace salespeople. That didn’t happen. You can find that article on the blog that supports my first sales book. Are salespeople necessary in the Internet age?

This blog post explores how B2B sales is positioned relative to AI disruption, referencing key insights from Benjamin Todd’s article, “How Not to Lose Your Job to AI” (80,000 Hours, 2025). Todd’s framework on skill types that increase in value in the age of AI helps us understand how high-functioning sales teams should evolve and how sales professionals can future-proof their careers.

Understanding AI’s True Impact: Augmentation, Not Replacement

A common misconception about AI is that it simply replaces humans. This isn’t true. AI devalues tasks it can perform while increasing the importance of the skills it cannot. Todd explains this dynamic through examples like the ATM: while the ATM reduced the need for transactional teller tasks, it actually increased demand for bank branch workers by allowing banks to open more branches. AI follows a similar pattern.

In B2B sales, AI will handle the most automatable tasks, such as data entry, follow-ups, list-building, and basic prospecting emails. However, this doesn’t eliminate the sales role; it sharpens its focus.

Instead of dialing hundreds of prospects daily, sales professionals will focus more on strategic engagement, account planning, and using AI-generated insights to elevate conversations. The result? Sales has become a more thoughtful, human, and strategic discipline for those who can keep up.

Four Categories of Skills That AI Will Make More Valuable

In Todd’s excellent article, he identifies four skill types that increase in value in an AI-enhanced workplace:

Hard-to-automate skills
Deployment-related skills
Scarce, high-utility skills
Skills hard for others to learn or replicate

Each of these aligns tightly with the demands of modern B2B sales.

Read the rest of the article…

Two Tall Guys Talking Sales – Chris Spanier Explains Marketing Professional Services: Sales Strategies That Actually Work – Episode 142

By Sean O'Shaughnessey

When marketing professional services, the playbook isn’t the same as product sales, and today’s episode dives into exactly why. Sean O’Shaughnessey and Kevin Lawson are joined by returning guest Chris Spanier, CEO of Carpe Diem Consulting Group and host of the Practical Actionable Marketing podcast. This conversation tackles the nuances of sales strategies for service-based businesses, blending value selling with measurable marketing and aligning both functions for stronger revenue generation. If you’re a business owner, consultant, or fractional executive trying to sharpen your sales processes and improve messaging, this episode is a goldmine of practical advice.

🔑 Key Topics Discussed

[02:44] Why traditional product marketing doesn’t work for professional services—and how to adapt
[03:46] The importance of measuring marketing effectiveness and integrating KPIs into the sales process
[07:36] How to position and market services that don’t have tangible “speeds and feeds”
[08:28] Letting go of the fear of “giving away your secret sauce” in thought leadership content
[10:30] Systemizing stories and messaging to scale sales efforts across a growing team
[12:14] How to use lead nurturing email campaigns to drive engagement and trust over time

🗣️ Key Quotes

Sean O’Shaughnessey:
“Sales is a really expensive marketing arm if you’re not doing really good marketing.”
— [05:59]
Kevin Lawson:
“Tell how you win, how you help others win, and how they win when working with you—this is as key as anything in professional services.”
— [10:52]
Chris Spanier:
“If you freely share value, people won’t take advantage of you—they’ll start trusting you. That’s the first step in real sales success.”
— [08:54]
“Marketing is half magic and half numbers. But the numbers—that’s where the proof comes in.”
— [04:14]

📚 Additional Resources

B2B Sales Lab – https://b2b-sales-lab.com/
Practical Actionable Marketing Podcast https://podcasts.apple.com/us/podcast/practical-actionable-marketing/id1697011310
Chris Spanier’s consulting firm: Carpe Diem Consulting Group (cdcg.us)
Contact Chris: chris@cdcg.us
LinkedIn: Chris Spanier

✅ A Significant Actionable Item from this Podcast

Systemize your lead nurturing.
Create a recurring, value-focused email campaign to maintain top-of-mind awareness. Whether your cadence is every three or six weeks, focus 80% on providing helpful insights and only 20% on pitching your services. Tracking measures email open rates and clicks, and then the behavior is aligned with site visits or follow-up outreach. This strategy turns occasional touchpoints into consistent momentum, critical for long-cycle sales in professional services.

🎧 Why You Should Listen Now

This episode is packed with strategic clarity and tactical insight for anyone selling invisible services. Whether you’re a fractional executive, consultant, or marketing-savvy sales leader, you’ll leave with a more innovative approach to messaging, a stronger understanding of sales and marketing alignment, and actionable ways to drive revenue generation with business acumen. Tune in now and rethink how you build trust and momentum in your professional services pipeline.