Salesforce struck an optimistic chord about its AI enterprise products at Salesforce World Tour London, even as the CRM giant stood against a backdrop of missed revenue expectations and a drastic drop in share price.
Focusing on its ambitions in the conference’s opening keynote, which unpacked how its suite of products can help a business “become an AI enterprise”.
Zahra Bahrololoumi, UK and Ireland CEO at Salesforce, took to the stage with a self-described mission to “motivate,” “educate,” and “inspire” the 17,500 people registered to attend the conference in the UK’s capital.
“We're in the middle of an AI revolution, folks, and it is changing everything. It will change how we interact with our customers, and it will change how we run our businesses,” she says.
This kind of speech on AI is becoming standard at tech conferences, with the ‘AI revolution’ having become a talking point in earnest with the surge in generative AI hype around November 2022. But Salesforce looks to stand out from its competitors by focusing on the data requirements customers will face and its own pedigree in the field, rather than blue sky thinking over the future of AI.
The firm is leaning on its decade of experience in enterprise AI to argue it can deliver on helping customers on that journey. Salesforce’s Einstein AI, first released in 2016, remains core to the firm’s AI strategy having received sweeping updates such as Einstein Copilot in 2023.
Data is central to Salesforce's AI pitch
With access to a business’s proprietary data, generative AI tools can create more meaningful returns for organizations and produce more accurate outputs. The “great news”, as Bahrololoumi added, is that enterprises are sitting on vast quantities of data already.
“Salesforce was absolutely built for this moment. It feels like everything we've done over the last 25 years has brought us to this moment,” Bahrololoumi says.
Cue Salesforce’s pitch to the crowd, rooted in the firm’s strong, existing data credentials exemplified by its Data Cloud product and its proprietary AI model, Einstein.
Salesforce’s Data Cloud Vector Database, now generally available, allows Salesforce customers to analyze unstructured data sets such as enterprise emails or transcripts of work calls. This analysis can be used to ground a large language model (LLM), inform data-driven business decisions, or provide the foundation for enterprise automation.
Vector search is a core element of retrieval-augmented generation (RAG), a framework through which authoritative, vectorized data is connected to an AI model to provide extra context for all of its outputs.
But while the offering will be welcomed by Salesforce customers, there's a sense the firm is already playing catch-up with vector search in the enterprise. The technology is already being used by the likes of Oracle via its Vector AI Search and Dell Technologies recently emphasized the importance of the approach.
Taking to the stage after Bahrololoumi, Salesforce UK VP Justin Wilson compared the platform to the experience of organizing books in a library.
“When you went to an old school library, you would have the books organized by genre, by author, and then A to Z, and that's kind of like your structured data. The content within the books is like the unstructured data,” Wilson says.
AI hasn't paid off for Salesforce yet
Despite its confident approach in the keynote, Salesforce hasn't yet translated AI promises into significant customer spending.
In its recently-announced Q1 results for the fiscal year 2025, Salesforce marked revenue up 11% year over year at $9.13 billion. This fell short of Wall Street predictions, as reported by CNBC, with the London Stock Exchange Group (LSEG) having expected $9.17 billion in revenue.
With the results setting off concerns from investors, Salesforce shares dropped 20%, in the firm’s worst trading day since 2004. Analysts from Morgan Stanley told Reuters that generative AI investment has not yet improved Salesforce’s results, and “ increasingly becomes a point of competitive concern” for the firm.
In this context, Bahrololoumi’s speech could be seen as a pitch for the continued relevancy and influence of Salesforce within the sector, with its effectiveness at AI acting as an indicator of its potential for success going forward.
Salesforce certainly has established credentials when it comes to streamlining processes, automation, and data analytics. But though its pedigree and wide-reaching customer base will serve it in good stead as AI becomes more ubiquitous, the company’s continued success will ride on the extent to which it can leverage value in the short-to-medium term.
It’s clear Salesforce is looking to diversify with AI and invest on several fronts to meet customers where they are, having unveiled a new AI center in London alongside a plan to expand its Data Cloud service on HyperForce in the region. In leaning into its strengths and emphasizing its track record, the firm avoids falling into the trap of direct comparison with competitors over specific technological leaps.
Though the firm didn’t unveil anything particularly groundbreaking, it made a compelling pitch at Salesforce World Tour London. With its strong track record and clearly defined AI offerings, Salesforce is convincing in its drive for AI – if not entirely inspiring for its investors yet.
