Observer | Why Agentic A.I. Deployments Are Failing Before They Scale by David Stokes

Agentic A.I. is no longer a technology on the horizon. It is being deployed today in live enterprise environments, with real operational consequences. In 2026, the conversation in most boardrooms has already shifted from “should we pay attention to this?” to “how do we move safely and most effectively?”

The vendor landscape is not making these questions easier to answer. Incumbent software companies—the platforms already embedded in enterprise architecture—are racing to layer agentic capabilities onto their existing suites, repositioning products many organizations already own. Simultaneously, a new generation of companies built natively on agentic architectures is entering the market, often targeting the same workflows with different approaches. The result is a market that is genuinely moving fast and generating noise in roughly equal measure.

In that environment, the promotional narrative tends to dominate. Early wins get amplified. Failure cases stay private. The gap between what vendors are projecting and what enterprises are experiencing in deployment is wider than it should be at this stage of the technology’s maturity. Executives are being asked to make significant capital and operating model commitments against a signal-to-noise ratio that is, at best, unfavorable.

The cost structure is real—and so is the return

Risk exposure has new dimensions

The operating model problem

For organizations already in deployment

What determines the outcome

Read more: https://observer.com/2026/04/agentic-ai-operating-model-enterprise-adoption/

#agentic-ai #artificial-intelligence #business #technology #customerservice

Salesforce's Agentforce: Promises, Pains, and the Push for the "Agentic Enterprise"

Salesforce's Agentforce AI now handles 50% of customer interactions, leading to job cuts. Learn how it impacts businesses and customers.

#SalesforceAI, #Agentforce, #CustomerService, #AIEffects, #JobCuts

https://newsletter.tf/salesforce-agentforce-ai-handles-customer-chats/

Salesforce's new AI agents are now handling about half of all customer chats. This is a big change from last year.

#SalesforceAI, #Agentforce, #CustomerService, #AIEffects, #JobCuts
https://newsletter.tf/salesforce-agentforce-ai-handles-customer-chats/

yahoo news | 9 reasons AI isn’t going to take your job (yet)

Employers feel immense pressure to adopt AI and cut costs, yet the hype surrounding an imminent AI‑driven workforce overhaul is premature. History is full of wildly inaccurate forecasts: Geoffrey Hinton once claimed radiologists would be obsolete within five years, and Sergey Brin promised ubiquitous driverless cars by 2017—neither prophecy materialised. Today’s tech giants loudly warn of a “job‑pocalypse,” but their own data reveal a vast gap between imagined AI reach and actual deployment, with only a tiny fraction of projected tasks being handled by AI in practice.

Current AI systems are “jagged,” excelling at some narrow tasks while faltering at others, and they still make frequent, hard‑to‑detect mistakes. Their capabilities are largely confined to language, leaving visual‑intensive professions—interpreting charts, blueprints, maps, or physical work such as plumbing, carpentry, nursing, and cooking—far beyond reach. Even in seemingly straightforward domains like customer service, studies show fewer than 5 % of fully remote jobs can be satisfactorily performed by AI agents, underscoring that AI more often augments rather than replaces human labor.

Many layoffs blamed on AI are actually driven by financial pressures or over‑hiring, and some AI‑initiated reductions have proved temporary, as seen with Klarna’s brief reliance on AI agents before rehiring human staff. Overall, corporations’ AI investments have yielded modest productivity gains, suggesting that a dramatic shift in employment will likely require far more radical advances—perhaps a decade away. In the meantime, the sensible strategy is not to chase the myth of replacing workers, but to leverage AI as a tool that enhances the productivity of the people already on the payroll.

Read more: https://tech.yahoo.com/ai/articles/9-reasons-ai-isn-t-122549131.html

#ai #techgiants #customerservice #humanlabor #productivitygains

CVS discovered seniors were valuable customers, then had to tell many of those same customers their local store was closing anyway.

Read more 👉 https://lttr.ai/Aptsw

#podcasts #customerexperience #customerservice

Same person… different delivery 😭
Be honest - yuh have a ‘customer voice’? 😂👇

#WorkLife #CustomerService #RelatableContent #OfficeLife #WorkHumo