Salesforce in Crisis? CRM Exposed in the Age of AI
The mood around Salesforce has shifted.
- The stock is down.
- Layoffs have cut deep, with thousands of support roles gone.
- Agentforce adoption is being questioned.
And across the ecosystem, people are asking: has CRM had its time?
The Exposure of CRM
AI has stripped back the truth: CRM in its old form is no longer enough. Nobody wants to sift through clunky look-ups, duplicate records, or endless reports. That static, system-of-record model is exposed for what it is: slow, manual, and unable to keep pace with AI-driven expectations.
Yet the core idea of CRM still matters. If AI is the brain, CRM remains the spine. It provides the structure, the integrity, and the context. Without that, AI is just noise delivered faster.
Data: The Real Weak Point
A lot of CRM data isn’t ready for AI.
- It’s duplicated.
- It’s disconnected across orgs.
- It’s stale or incomplete.
AI doesn’t fix that. It amplifies it. Garbage in, garbage out…only faster, louder, and harder to unwind
That’s why Salesforce has bet so heavily on Data Cloud. It’s not a side product. It’s the activation layer that resolves identities, stitches systems together, and feeds Agentforce with the context to act. Without it, “AI for CRM” is theatre.
What Needs to Happen Next
The AI hype cycle is loud, but real value comes from execution. Here’s what each group needs to focus on.
Customers
- Clean the Data
- Remove duplicates, fix integrations, and establish a single source of truth.
- Unpick Old Orgs
- Years of technical debt and multiple instances are slowing everything down.
- Revisit Business Cases
- Anchor every AI project to measurable value: revenue created, time saved, risk reduced.
- Sequence Strategy Properly
- CX strategy: what experience are you trying to deliver?
- AI strategy: how can intelligence support that?
- Data strategy: what needs to be collected, cleaned, connected?
- Salesforce strategy: only then decide how Salesforce fits in.
- Think Long-Term
- Demos are nice, but sustainable advantage comes from reshaping how you serve, retain, and grow.
Partners
- Drive the AI Strategy: Don’t treat Agentforce as the AI strategy. Place it inside a broader roadmap tied to business outcomes.
- Shape the Use Cases: Identify where Agentforce agents can make a measurable impact; service, sales, supply chain, or compliance.
- Stitch Applications Together: Orchestrate Salesforce with ERPs, data warehouses, marketing platforms, and other enterprise apps (SAP, ServiceNow, Workday) so AI acts across the business, not in silos.
- Focus on Enablement: Build customer capability to manage, govern, and scale Agentforce as part of their long-term AI roadmap.
Builders (Admins, Architects, Devs)
- Simplify the Org: retire redundant automations, consolidate processes, reduce clutter.
- Be the Guardrails: define roles, permissions, audit trails, and compliance so AI stays within the lines.
- Optimise the Data Model: design structures AI can actually consume and act on.
Why This Division Matters
When customers clean and simplify, partners drive the strategy and stitching, and builders execute with discipline, Salesforce stops being exposed in the AI era. It becomes what it should be: the orchestration layer that powers intelligent, connected customer experiences.
The Community Multiplier
Salesforce’s community has always been its strength. Trailblazers, partners, meetups, they create momentum. But that community is also a multiplier of sentiment.
When the vibe is positive, every event and deal feels bigger. When doubt spreads, it spreads fast. Right now we’re in that reflective stage. Less hype, more scrutiny.
Final Word
Yes, Salesforce looks like it’s in crisis. Stock dips, job cuts, and questions about Agentforce have put the company on the defensive. But the bigger picture is this: CRM isn’t dying. It’s evolving into the orchestration layer for AI-driven engagement.
The organisations that win won’t be the ones with the flashiest demos. They’ll be the ones that did the unglamorous work: clean data, simplified orgs, and strategies tied to outcomes, not hype.
That’s the difference between being exposed in the Age of AI…and being ready for it.
