We have all been here before … So. What did we learn about reassessing and evolving our PATHS TO PROFIT?
We've witnessed the transformative power of technologies
like the Internet, Mobile, and Social. It starts with cool stuff that intrigues
and distracts ... suddenly they are useful functions that incorporate into our
lives ... and change the way we do almost everything.
The Digital Evolution - Sparked an economic boom, with the digital economy accounting for a remarkable 30% of global GDP by 2021.
The Mobile Revolution - A decade after the first iPhone, the mobile app economy exploded into a $188 billion market by 2020, reshaping multiple industries.
The Social Reassessment - After fueling a $50+ billion digital advertising juggernaut, society is reassessing Social Media's "Web 2.0" impact and considering new systems and models that return power to individuals for collective benefit, fostering a more equitable and transparent digital economy.
The AI Age - Now we are in Web 2.5 ... preparing for a better future that is here faster than other shifts. AI is projected to contribute a staggering $15.7 trillion to the global economy by 2030 - a seismic shift unleashing immense productivity and innovation.
The Big Why
Today's technological revolution combines AI with Web3 tools to create something truly special - With capabilities we once could only imagine .
Unlike past tech waves that put more power in fewer hands, these tools help spread opportunity to everyone. AI helps us make smarter decisions, while blockchain creates transparent records we can all trust without needing middlemen.
Together, they let people work together in new ways - automating agreements, sharing ownership, and building direct partnerships. Think of it as technology that finally works for people rather than the other way around. When everyday professionals can design their own digital helpers and program their business relationships, we create a world where success comes through collaboration rather than control.
The future belongs to those who understand these tools not as Job eliminators or technical puzzles, but as keys to more fair, direct, and rewarding ways of working together.
Opportunities AND Obligations
Web3 and AI are the tools to redesign the flow of value across businesses while redefining ethical priorities. We now have a choice to live up to "Doing Well By Doing Good."
This (r)evolution offers a unique chance to bring transparency, accountability, and genuine human connection back to sales and business relationships.
Reality Check in B2B Sales: Strategic Pivots for Survival
We are observing a stark but real picture of the near future of B2B Sales. Here is Mark Stouse's analysis- - > by 2028 an estimated 90% of current B2B sales roles are projected to disappear!
This dramatic transformation is driven by AI-empowered buyers who are systematically bypassing traditional sales processes. While vendors implement AI tools to enhance their effectiveness, buyers are leveraging AI-powered "buyer bots" to pre-screen vendors, analyze product-market fit, validate competitive claims, and determine pricing - all before engaging with a sales professional.
Business developers must pivot from persuasion-based selling to proof-based selling, focusing on demonstrating direct causal impact, building trust through transparency, and providing external perspectives that AI cannot replicate.
Success in this new landscape requires strategic repositioning as trusted challengers, developing specialized AI integration skills, and designing personalized AI agents that enhance rather than replace human relationship-building.
Our Mission:
Empower the most committed Salespeople and businesses to thrive in this new landscape. By embracing Web3's potential for trust and AI's capacity for understanding, we can create a business world that values integrity as much as innovation... where customer success is as important as the next deal.
This is our opportunity – and our obligation – to build economies that are not just efficient, but deeply human.
Our current plan to ENERGIZE GROWTH
Sales needs to design our OWN AI Agents instead of expecting the Tech and Financial Engineers (bless their hearts) to believe they know best for what we understand as relationships with prospects, partners, and customers.
Manage your AI tools rather than being replaced by them!
One thing you've learned is that you need to get into it... Learn for yourself... Test applications to your existing (evolving) business ... WHILE discovering new opportunities.
REMEMBER - you will not be replaced by robots, you will be replaced by your competitors (AND customers) that know how to work with them.
The key is becoming the professional who designs and orchestrates AI rather than competing with it or letting other departments manage your role.
TRY A CUSTOM SEARCH ON ANY B2B SALES TOPIC AT DAVEBOT
The integration of Web3 technologies like AI and blockchain is becoming increasingly accessible, even for those without deep technical expertise. This ease of adoption means your competitors (AND customers) are leveraging these tools to enhance their operations and customer experiences.
We also share insights and ideas to help clarify options:
BELOW ARE TOPICS ON OUR DISCUSSIONS ABOUT THESE NEW FORCES ON YOUR CAREER, COMPANY, & SOCIETY ...
AI: Enhancing Efficiency and Customer Experiences
AI is already revolutionizing businesses by automating repetitive tasks, streamlining processes, and boosting efficiency. But its true potential lies in delivering highly personalized and immersive customer experiences. Imagine AI-powered chatbots and virtual assistants that understand your preferences, provide tailored recommendations and offer seamless support – fostering customer loyalty like never before.
Here are 2 services we are developing with AI as "Force Multipliers" ...
MatchBot - Design services for more transparent and effective AI Agents to represent you for business growth.
EchoSphere - Multiply the capabilities of each employee by amplifying their individual participation and value, while expanding your company's capabilities.
Web3 and Blockchain: Decentralization and Trust
At the heart of Web3 lies blockchain technology, which introduces decentralization and trust into business transactions. Smart contracts and decentralized platforms eliminate intermediaries, reduce costs, and enhance transparency and security.
Add superpower functions to your existing systems:
Automating and collaborating in ways never before possible.
Transform any asset or interaction into dynamic utilities:
Web3 and blockchain enable entirely new business models and revenue streams. Concepts like Decentralized Autonomous Organizations (DAOs) and tokenization democratize access, funding, and decision-making, empowering collaboration and collective governance.
Tokenizing is like advanced tagging... but programmatic so everything has all the functions of computers... you can share, earn, buy, sell, gift, reward, vote on, and co-earn experiences.
The BIG convergence is a whiplash melding of Blockchain with AI as the new Power Couple to manage all this new, easy multimedia assets we are prompting out! Tokenizing everything is seamless with platforms vying for your new business flows.
Defining the opportunities starts with inspiring curiosity to learn more, and relearn what you were sure you knew... Now with an AI Spin... "Circular Thinking" is how a simple shape-shift defines humanity's potential for collective progress... from triangle control to cooperative circle.
The Path Forward: Opportunities and Challenges
As these technologies advance, new roles and skill sets will emerge, requiring businesses and individuals to retrain and adapt. Content ownership, distribution, and creativity will remain paramount. Governments will develop regulatory frameworks to address privacy, ethics, and governance concerns – All reshaping your operating environment.
Success in this era will hinge on embracing collaboration, building ecosystems, and leveraging partnerships to access complementary technologies, share resources, and drive innovation collectively in the new roles that will thrive.
Steps to Reevaluating Your B2B Sales Strategy in the AI and Web3 Era
1. Assess Your Current Sales Process:
How much of your sales process is still manual?
Are you leveraging data effectively to understand your customers?
How personalized are your outreach efforts?
How vulnerable is your process to buyer-side AI automation?
What percentage of your sales activities could be bypassed by AI procurement tools?
Are you still relying on persuasion-based tactics rather than proof-based selling?
2. Identify AI and Web3 Integration Points:
Consider where AI could automate repetitive tasks in your sales funnel
Explore how blockchain could enhance trust and transparency in your contracts
Think about how tokenization might create new incentive structures for your sales team and clients
Evaluate where buyer-side AI will interact with your content and messaging
Identify opportunities to provide causal proof of impact through AI-driven analytics
Map potential areas where AI can help demonstrate transparent value delivery
3. Upskill Your Sales Team:
Invest in training on AI-powered sales tools and Web3 concepts
Encourage a culture of continuous learning and adaptation
Develop expertise in causal analytics to prove direct business impact
Train team members to transition from persuaders to trusted challengers
Cross-train across marketing, sales, and customer success to break down silos
Build industry-specific knowledge to counter increasingly risk-averse buyers
4. Pilot New Approaches:
Start small with AI-powered lead scoring or chatbots
Experiment with blockchain for secure, transparent transactions
Test Web3-based loyalty programs or referral systems
Create proof-driven frameworks that demonstrate causal impact
Design custom AI agents that filter for truly relevant opportunities
Develop transparent processes that build trust with buyer-side AI systems
Position your team as market-centric advisors providing external perspective
5. Measure and Iterate:
Set clear KPIs for your new initiatives
Regularly review and adjust your strategy based on results
Focus metrics on causal proof of impact rather than activity levels
Evaluate success based on value delivered rather than traditional sales metrics
Monitor how buyer-side AI is interacting with your content and messaging
Track which strategic roles are delivering the most value in the AI-transformed landscape
6. Implement Strategic Pivots:
Transition traditional sales roles toward trusted challenger positions
Develop high-value strategic specialties like Revenue Enablement, AI Integration, and Customer Success Architecture
Build data and AI expertise throughout your team
Create cross-functional revenue teams that bridge traditional department boundaries
Shift from persuasion-based to proof-based selling methodologies
7. Prepare for the 90% Reality:
Honestly assess which team members have the skills and adaptability to thrive
Develop transition plans for roles most vulnerable to buyer-side AI disruption
Identify which "best of the best" capabilities to retain and emphasize
Create a roadmap for evolving toward a smaller, more strategic sales organization
Focus on providing value that complements rather than competes with AI-driven buying processes
New Career Positions for the AI-Transformed B2B Sales Landscape
Trusted Challenger Roles:
Industry Insight Provider: Specializes in delivering market-centric perspective that AI can't easily replicate
Causal Impact Consultant: Focuses on proving direct business outcomes rather than correlation-based selling
Transparency Architect: Develops trust-building frameworks that complement rather than compete with AI
Strategic Specialist Roles:
Customer Success Architect: Designs and implements strategic retention and expansion programs through deep relationship management
Cross-Functional Revenue Team Leader: Orchestrates collaboration across traditionally siloed departments to create cohesive customer experiences
AI Sales Integration Specialist: Helps organizations implement and optimize AI-powered sales tools while maintaining the human elements of relationship building
Revenue Enablement Specialist: Focuses on increasing deal size and boosting revenue across all customer-facing teams
Data & AI Expertise Roles:
Sales Data Analytics Expert: Helps companies become truly insight-driven (critical as only 6% of B2B firms currently achieve this)
GTM Engineer: Transforms client acquisition through AI-powered, hyper-personalized outreach systems
Causal Analytics Specialist: Builds frameworks that measure and demonstrate clear business outcomes
AI Prompt Engineering Specialist: Masters the art of directing AI tools to deliver strategic sales insights
Buyer-Side AI Navigation Expert: Helps companies optimize their presence for buyer AI systems
Ecosystem Orchestration Roles:
Partner Ecosystem Developer: Builds networks of complementary solutions that create greater combined value
Value Chain Optimizer: Identifies opportunities to enhance value delivery across the entire customer journey
Community Engagement Strategist: Creates and nurtures communities where users educate themselves and each other
Each of these roles addresses specific aspects of the AI-transformed landscape, focusing on areas where human expertise will continue to provide value that complements rather than competes with AI capabilities. By specializing in one or more of these directions, B2B sales professionals can position themselves to evolve with shifting opportunities.
Who ALREADY has Web3 Thinking?
Who are your best prospects...
Look at businesses in (and adjacent to) your ecosystem that ALREADY succeed with cooperative methods and revenue-sharing models...
Consider How these new exponential, automated, decentralized, equitable, co-earning functions can enhance: