Bob's 2025 prediction: AI would dramatically improve knowledge in contact centers.
Result: Early but mostly wrong.

The technology moved, but the data did not. Knowledge bases were too fragmented, too dirty, and too poorly governed for AI to meaningfully improve frontline work. The industry instead spent another year chasing bots, automation, and surface-level "AI assistants."

Grade: C+

The failure was not AI. It was the state of enterprise knowledge.

Bob's 2025 prediction: Work-from-home would shrink and revert toward pre-COVID norms.
Result: Correct.

Remote and hybrid work has fallen to within five percentage points of pre-COVID levels. Companies quietly reversed course not because it helped customers or employees, but because leadership never learned how to manage distributed teams.

Hybrid was the worst of both worlds: frontline leaders juggling physical rooms, video calls, and dashboards without the training or structure to do any of it well.

Grade: A

The reversal was not ideological. It was operational.

Executives defaulted back to what felt controllable: physical presence. Organizations refused to do the hard work of re-engineering leadership, coaching, quality management, and accountability for a distributed workforce. They solved a people problem with proximity.

Voice comes back.

Digital channels absorbed most of the AI hype: chat, bots, messaging, and self-service. But customers never stopped calling. Voice is where frustration spikes, where trust is tested, and where automation breaks down.

Amas' call:
2026 will be the year voice reasserts itself as the center of the customer relationship — and the CCaaS market will look radically different by 2027 because of it.

Data becomes the bottleneck.

AI will only become useful where it has access to clean, structured, reliable data. The industry rushed into AI before fixing the foundations: knowledge, case data, call logs, customer history, and operational context.

2026 will be the year contact centers slow down, audit their data, and rebuild the plumbing that AI actually runs on.

No data. No intelligence.

Analysts and vendors are promising three things for 2026:

• Predictive and proactive service
• Agent empowerment through AI
• Fewer humans in contact centers

Bob and Amas reject the third and remain skeptical of the first two without structural change. The hype assumes AI will replace labor. Reality says AI will expose how broken the systems around labor really are.

Stop calling software "agents."

For twenty years, "agent" meant a human being doing emotional, cognitive, and relational labor. Rebranding bots as agents erases the workforce and confuses accountability.

Language shapes power. That battle matters.

Focus on the employee.

AI should not be used to replace people. It should be used to remove friction from their work: searching, documenting, switching systems, hunting for answers. Knowledge was always the real use case. The industry just skipped the hard part.

2025 proved that AI without data, governance, and human-centered design does not transform anything. It only adds noise.

2026 will reward the companies that stop chasing demos and start rebuilding the foundations: voice, knowledge, data, and frontline enablement.

That is where the real disruption will come from.

Amas Tenumah explains why customer service is not "broken" but intentionally designed to fail. Drawing on decades inside contact centers, historical research, and real corporate incentives, he argues that long waits, deflection, and automation-first strategies are features—not bugs. The conversation dismantles common CX myths, challenges executive complacency, and frames consumer behavior as the only force capable of triggering real change.

• The Suffering Economy of Customer Service:
  When service is universally bad across industries, it's systemic. Incentives—not incompetence—drive outcomes.

• Why This Is a "How Dare You" Book:
  The indictment is aimed squarely at executives who treat service as a cost center while overfunding marketing narratives.

• Marketing Replaced Service as Trust Mechanism:
  Historically, service was marketing. Industrialized marketing severed that link, allowing companies to tolerate bad service and buy growth instead.

• Metrics That Poison Service:
  Deflection, containment, and avoidance KPIs reward companies for not talking to customers—while punishing leaders who try to deliver what customers actually want.

• Wait Times Are Engineered:
  Hold times are budgeted, modeled, and accepted. They are designed friction, not operational accidents.

• AI as Distance, Not Salvation:
  AI is currently deployed to protect companies from customers, not customers from friction. It scales avoidance unless incentives change.

• Executives Don't Experience Their Own Service:
  Many leaders despise customer service—just not their own. Forcing executives to call their own 1-800 numbers is revelatory and uncomfortable.

• The Revolt Is Consumer-Led:
  Change will not come from CX professionals alone. It comes when consumers punish bad service with their wallets and reward companies that respect their time.

• The opening story of the 1750 BC clay tablet complaint—the first recorded customer service grievance—reads like a modern Amazon review.

• The Chipotle refund anecdote exposes time theft: hours of customer labor to recover trivial amounts of money.

• The contrast between automation done for customers versus automation used to avoid them.

• For Consumers:
  Vote with your wallet. Pay slightly more. Wait one more day. Call customer service before you buy big-ticket items.

• For Service Leaders:
  If your CEO doesn't believe in service as value creation, your job is to change their mind—or change jobs. Data plus customer stories are the leverage.

• For Executives:
  Service is deferred revenue protection. Treating it purely as cost is strategic malpractice.

• Book: HOLD: The Suffering Economy of Customer Service — And the Revolt That's Long Overdue

• Signed Copies & Tools: waitingforservice.com

  • Consumer scripts

  • Cancellation guides

  • Practitioner playbooks

  • No email required

Summary

The conversation explores the integration of AI in sales, focusing on how it enhances customer engagement and improves sales efficiency. Bob Furniss discusses the importance of using data to empower salespeople rather than reducing their numbers, emphasizing a customer-centric approach to AI in sales.

Takeaways

AI can enhance customer engagement in sales.
The focus should be on empowering salespeople with data.
AI is not just about reducing costs but improving efficiency.
Sales strategies should prioritize customer needs.
Data-driven insights can lead to better sales outcomes.
AI can make sales calls faster and smarter.
The role of AI is to support, not replace, sales personnel.
Understanding customer needs is crucial in sales.
AI tools should be designed to assist sales processes.
The future of sales lies in the integration of technology and human touch.