Platform / Career / News

Is CRM Dying or Evolving? How AI is Transforming the Industry

By Sasha Semjonova

Is SaaS dead? Is CRM dying? Is AI overtaking everything, leaving the technologies we have built and mastered obsolete?

If there is one thing that the tech sector has shown us time and time again, it’s that it is adaptable. Whether this means the death of certain solutions like CRM or merely a reinvention is a different story. 

The Growth of CRM

The term Customer Relationship Management (CRM) first emerged in the 1980s, following the onset of database marketing. From there, the 1990s were a time for the first real steps of innovation, as Sales Force Automation (SFA) was introduced and pioneered by technologist Thomas Siebel, founder of Siebel Systems. 

In 1995, CRM history was made, and the term CRM was officially coined. From there, the market experienced notable growth, especially when web-based, on-premise CRMs were introduced. 

Not long after, Software as a Service (SaaS) was introduced, and the rest is history. Cloud-based CRM software became more and more popular – like Salesforce, which entered the scene in 1999 and pioneered SaaS CRM – and as technology continued to advance, more options and competitors allowed customers to choose the right CRM for their needs. 

From there, developments such as an increase in entrants to the SaaS CRM space and mobile CRMs came into effect, and although circumstances were uncertain in the early days, the industry did gradually accelerate with SaaS CRM. 

CRM Today 

Fast forward to today, and the world of CRM is the most accessible and advanced it’s ever been. Now, CRMs are expected to be robust, all-in-one solutions that can tackle any part of a company’s customer-facing workflow, allowing businesses to rely on just one system rather than a system plus an array of third-party applications.  

However, like with any prospering technology, the CRM space has not been free of obstacles, and these obstacles are caused by a unique blend of human and machine. 

What Challenges are CRMs Facing?

Despite the fact that the CRM sector has a notable history behind it, it is still facing a number of challenges – some of which have been commonplace for the last decade. 

Data Quality and Trust Issues 

If there is one steadfast rule to remember with a CRM, it’s that the quality of the output will only ever be as good as the quality of your data. The “garbage in, garbage out” mentality is still very prevalent, and although it serves as a good practice, it can also act as a hindrance to some businesses. 

Many CRMs still suffer from issues such as duplication, stale pipeline data, and conflicting data entries, and once the technical debt starts building up, managing it can feel like an impossible task.

Cost vs. Value Misalignment 

Although spending in the tech sector is on the rise, businesses and their customers are always chasing value recognition and more value for money. It’s no secret that CRMs can be expensive, and not just the licensing fees – there needs to be value in the setup, training, integration, and upkeep of the org. 

It doesn’t stop there either. If a business invests in a CRM for their particular business needs, there is always the chance that they will be encouraged to purchase additional features or plans, which the business might feel the pressure to get ROI from. 

READ MORE: Optimize Your Salesforce Licensing Costs With Platform Licenses

How Does AI Impact This?

Arguably, the biggest impact on CRM over the last five years has been AI. As an industry disruptor and one of the momentous innovations in the tech sector since the Internet, AI has been both a benefit and a challenge for the CRM sector. 

READ MORE: AI Is Surpassing SaaS in Revenue Milestones: What Does This Mean for the Future

William Flaiz, an independent Digital Strategy and Transformation Consultant, said that after over 20 years working in digital transformation, he knows that the sector is experiencing intrinsic change.

“I’ve witnessed many technology shifts, but few as potentially disruptive as what we’re seeing in the customer data space,” he wrote. “The AI revolution is exposing what many of us have quietly known: traditional CRM implementations are often expensive data graveyards filled with inconsistent, incomplete information.”

He explained that these issues aren’t new, but that AI implementation is bringing them to light.

“When companies try to apply sophisticated AI tools to their CRM data, they encounter the classic ‘garbage in, garbage out’ problem.”

Bob Lewis, a columnist for CIO, shares similar thoughts, declaring CRM to be “officially dead” in his piece ‘CRM is dead – and AI can’t come to the rescue fast enough‘.

“Once upon a time, CRM was more than a software category,” he explained. “It was a philosophy of doing business.”

“I hereby declare CRM to be officially dead.”

The Salesforce and ServiceNow Case: Broaching Industries 

An interesting example that explores this quite well is the current situation between Salesforce and ServiceNow. 

ServiceNow’s broach into the CRM sector and Salesforce’s equal broach into the ITSM sector – the two industries that each business specializes in – has raised a lot of eyebrows, and it has put the future of Salesforce and the CRM sector as a whole into question.

One thread on Reddit discussed this in detail, theorizing what would come next for both CRM and ITSM. 

“Think about it: CRM was built to serve sales and marketing,” the original poster wrote. “ITSM was built for IT teams. They’ve lived in separate ecosystems, solving separate problems. But that model doesn’t fit how companies actually work anymore.”

“ServiceNow is expanding into CRM-like territory. Salesforce is moving toward ITSM. It’s no longer just about features, it’s about who can manage end-to-end enterprise workflows.”

“With AI agents becoming the next big thing, I think this convergence will only accelerate.”

Once again, the popular question of “is CRM dead?” came into question, with one commenter denying it, admitting that they had never really understood the true distinction between CRM and ITSM due to their compelling similarities. 

What Was Remedyforce?

For Salesforce, this is actually not the first time they have tried branching out into the ITSM sector. In 2010, Salesforce launched Remedyforce, a cloud-based ITSM solution built in partnership with BMC Software. This solution leveraged the Salesforce platform to deliver service desk capabilities, providing tools for incident management, service request fulfillment, and more. 

However, Salesforce ceased processing renewal orders for the tool in February 2016, indicating a move away from the platform. This was solidified earlier this year when Remedyforce reached its end-of-life (EOL) stage, in favor of shifting to BMC Helix ITSM, its more modern, cloud-native ITSM platform.

Key reasons that led to the tool’s depreciation included limited evolution compared to competitors, product positioning confusion, and UI/UX gaps – all aspects that Salesforce has the perfect opportunity to learn from this time around. 

The Death of CRM, or a Reinvention? 

So, is CRM dead or dying? Or do these new industry trends present the perfect opportunity for the sector to revamp itself? 

According to William, he believes that we are “witnessing not a death but a necessary reinvention.”

“The future of customer relationship management isn’t monolithic systems trying to be everything to everyone,” he said. “What’s truly dying is the empty promise of the all-in-one CRM as the single source of truth – a promise rarely fulfilled despite massive investments.”

Although trends like increasing customer demands and AI should be treated with an air of scrutiny, they can also very well be viewed as motivators and tools of aid for innovation going forward. 

For example, AI has the potential to make CRMs less reactive and more predictive, posing a partial answer to growing customer demands. We are already moving toward smarter agents and workflows through tools like Agentforce, and we are also moving toward fully autonomous CRMs – systems that not only suggest actions but take them. 

READ MORE: Agentforce: Roadmap and Questions in 2025

According to a recent report by Kinsta, 93.4% of consumers in the US prefer interacting with a human over AI, and although this can seem both confusing and worrying to businesses ready to get involved or are already involved with AI, it doesn’t have to be. 

It can be argued that the real purpose of AI – especially in the tech and AI space – is to provide customer service that feels human but isn’t. Utilizing AI can be cheaper and more profitable than relying on an entirely human workforce, but as AI continues to evolve, businesses can also provide their customers with what they want: an AI solution that feels so human it might one day be indistinguishable from the real deal. 

Final Thoughts 

CRM may not be dying, and there might be a lot to watch out for as CRMs like Salesforce adapt to industry trends, but one thing is certain: change is happening, and it is happening fast. 

The CRM sector has plenty of space to evolve and reinvent itself now, and it is likely that the ones that are able to will survive. The ones that can’t? The future and customer demands might not be so kind.

The Author

Sasha Semjonova

Sasha is the Video Production Manager and a Salesforce Reporter at Salesforce Ben.

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Comments:

    Matthew Kelly
    May 09, 2025 5:00 pm
    One feature in Sales Cloud (and it should be in ALL CLOUDS) is Cadence. And yes, people are reticent to implement agents because they fear their data quality, and have no idea what to do about it in order to achieve what they want to in pursuit of executing a business process. CRM is about SALES CYCLE REPEATABILITY. It's what it has ALWAYS been about: How do we SYSTEMATICALLY bring our customers through the Customer Life Cycle. The cost of bringing new sales people aboard requires that the CRM system do everything it can to reduce the time necessary from sign on date to first sale. When Salesforce shows how AGI and Agentification, armed only with 'good enough' data, can auto-generate Cadences on a per product/service line basis, and then establish the means to measure those Cadences after implementation, they will be building AGI into their basic license offerings. The 'auto-Cadence' generator will dramatically lower the cost of enforcing measurable Sales Cycles on salespeople, which is the entire mission. As for Service Cloud, that there isn't an automatic process of aiming Service Cloud at a pile of knowledge about products and services (technical, service manuals, recalls, installation instructions, ancillary service providers, etc) that automatically builds Internal Agents for Service Centers that bring new Techs up to speed first day is also an issue. The mission, for Salesforce, is to use AGI/Agents to get to MEASURABLE ROI in hours and days, not weeks and months. The two biggest issues out there are executing Sales Cycles repeatably, and deflecting calls/making technical experts on the service side. Right now, for as truly magical as Agentforce is, it is still a box of Legos, and playtime in a companies fighting quarter to quarter is expensive. Once customers taste ROI with Agents/AGI with Salesforce, there will be a massive demand wave to deal with. We are mired in the Early Adopter phase, and we need to drive into the Early Majority/FOMO phase. Not even close to being there yet.
    David K Allen
    May 09, 2025 5:08 pm
    I'm glad to see ServiceNow mentioned as well. Along with CRM and ITSM, I would include ERPs in a comprehensive assessment of the blurring of lines in the industry. At the end of the day, businesses want a place to store their data, and tools to enable them to perform their core processes of sales, procurement, service, operations, and transformation.
    methu sella
    May 09, 2025 5:27 pm
    So how does AI exactly disrupt CRM ? Never explained in the article.
    Gurudeva
    May 11, 2025 4:08 am
    It is important to maintain data integrity,single version of fruth,value addition to customer for the CRM projects to be successful. Even before CRMs arrived,there were data integrity issues with multiple systems and multiple data sources in enterprice IT systems. Data integrity,business rule validation,data cleanups were taken to ensure that the systems were clean and adding value to customers. Similar projects need to be taken for CRM projects as well. Also, design of CRM with vendors such as Salesforce need to be simple,efficient such as in Google, ChatGPT etc and minimum,well tested,useful features need to be introduced for releases by Salesforce. This will lead to quick value addition to customers and ease the working for technologists in these areas