Instead of directing AI to complete your tasks, try asking it to critically evaluate and challenge your work. Research indicates that heavy dependence on generative AI might diminish critical thinking and degrade professional skills due to cognitive offloading, which can result in lower-quality outcomes. However, using AI to introduce constructive friction can offer a clear advantage. University of Massachusetts (Amherst) Professor Monideepa Tarafdar suggests that encouraging AI to present opposing viewpoints helps avoid the echo chamber effect caused by AI tailoring outputs based on previous inputs. For instance, marketing professionals who request AI to simulate dissatisfied customers gain fresh insights, while an attorney using AI to identify legal loopholes uncovers unexpected scenarios. Multiple studies have demonstrated that human-AI collaboration, especially when disagreements are involved, yields superior results compared to human or AI working alone. Leaders should promote "friction-generating queries" where employees use their expertise to question AI outputs, turning what seems like resistance into a tool for better innovation and performance.
More than 25% of marketers hired this year possess AI-ready skills, compared to only 9% of CMOs who have held their positions for over four years. This highlights a growing gap in technological proficiency within marketing leadership amid increasing demands and faster turnover.
Back when I was overseeing global customer success at HubSpot, our customer base tripled in four years, exposing the cracks in how we understood customers. Data about a single customer was scattered across product logs, billing, support systems, and service notes. This scattered data created records but failed to build true insight.
Now, AI agents are bridging these gaps. Current CRM software, built on fragmented data, cannot survive unchanged. Its architecture is rooted in a funnel model — essentially an organizational chart turned sideways — which reflects a company’s operations rather than the real customer journey.
Customers experience a disjointed process: different departments, repeated information, and no unified view. But with AI, the software does the work, integrating data from multiple sources and shifting the focus to outcomes, not just tools. This evolving model, called Service as Software, views customer support as a measurable, high-value service.
The customer journey must be rebuilt into five AI-enhanced stages:
- Discovery becomes a conversational search powered by AI.
- Sales unify communication across all channels with an AI agent managing relationships seamlessly.
- Onboarding turns personalized with AI carrying the context from the sale and ensuring customer needs are met from day one.
- Support uses AI to intelligently triage, prioritize, and route issues with precision.
- Renewal transforms into an informed continuation of the relationship, understanding ongoing pain points.
This wholesale shift demands multi-hop reasoning platforms that integrate across systems, processes, and roles. Leaders should evaluate AI agents on whether they know what’s happening in other departments’ systems, can act (not just read), and seamlessly hand off with full context.
Ultimately, the traditional customer journey was a map of internal silos, not customers. The future is one relationship, managed in one place, powered by AI from the first interaction through renewal. This approach moves away from pricing tools to pricing the actual service and outcome.
Jonathan Corbin, founder and CEO of Maven AGI, champions this perspective on CRM and AI-driven customer success.
The adoption of AI-powered creative production is rapidly becoming standard practice among Chief Marketing Officers (CMOs) outside of the top-tier billion-dollar companies. This trend highlights a broader acceptance of scalable AI tools in marketing strategies across a wider range of businesses.
Anthropic has issued a caution in its IPO prospectus about how the US government's perspective on the company might affect its relationships with business clients, partners, and government contracts. This information surfaced in a Reuters report, which obtained the document before its public release. The prospectus highlights potential risks tied to government attitudes that could influence Anthropic's market and governmental engagements.
Anthropic has launched Claude Academy with a $100 million investment, focusing on training and deploying specialized AI engineers known as FDEs (Full-Deployment Engineers). This strategic move highlights the increasing demand for skilled professionals who can effectively manage and implement AI technologies in real-world applications.
The recent cyberattack on Medicare by an AI agent has uncovered significant vulnerabilities in Australia's government technology systems, referred to as 'tech debt.' In response, the Home Affairs Department has instructed all federal agencies to undertake a comprehensive review of their outdated technology. Each agency must develop a strategy to minimize reliance on legacy systems to manage security risks effectively. This move highlights the urgent need for modernization across government platforms, which could result in substantial expenses for taxpayers.
A major hospital and radiology network implemented Palantir's AI-powered scheduling system to improve efficiency. However, nurses and staff report that the software has led to increased scheduling errors, heightened burnout, and growing frustration, raising concerns about patient safety.
Epic, the leading developer behind the popular MyChart patient portal, has decided to temporarily stop releasing new product features. The decision comes as the company shifts focus to resolving critical security issues that could potentially expose patient information. Over the coming weeks, Epic's teams will prioritize patching these vulnerabilities to reinforce data safety and protect users of its health information systems.
OpenAI has ended its working relationship with three safety researchers following an internal review that revealed improper handling of sensitive company data, according to reports.
