HomeBig DataLucidworks Report Breaks Down What It Takes to Win with GenAI

Lucidworks Report Breaks Down What It Takes to Win with GenAI


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Solely 15% of corporations are successfully utilizing GenAI at the moment, and so they’re seeing as much as 2x larger efficiency in key metrics like conversion and engagement in comparison with friends nonetheless counting on older instruments. On the identical time, 44 % of organizations have but to undertake even primary AI-powered search or product suggestions. These numbers spotlight simply how uneven the present state of AI adoption is throughout industries..

These findings come from Lucidworks’s 2025 Generative AI Benchmark Report, which evaluated greater than 1,100 corporations utilizing an autonomous AI agent named Guydbot, alongside survey insights from over 10,000 customers. Whereas the survey captured how individuals expertise GenAI options, the agent examined dwell web sites and digital touchpoints throughout 48 industries to evaluate what corporations have truly deployed in the true world.

Based mostly on noticed capabilities, the report teams corporations into 4 cohorts: Achievers, who’re delivering clear outcomes with GenAI; Builders, who’re almost there however nonetheless stabilizing core methods; Climbers, who’re experimenting with out the correct basis; and Spectators, who haven’t but carried out GenAI in any significant approach.

Whereas these 4 cohorts range in GenAI maturity, the most important variations aren’t simply within the options they provide; they present up in how every group approaches execution. Achievers will not be chasing tendencies or launching chatbots for present. As a substitute, they’ve targeted on integrating GenAI into core workflows which can be constructed on clear, structured knowledge. Their options are sometimes sensible, reminiscent of smarter search, customized discovery, and higher navigation. 

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The report notes that greater than 70% of Achievers help hybrid retrieval and a minimum of one type of semantic rating. Builders will not be far behind, however many are nonetheless working by way of gaps of their methods: knowledge high quality points and fragmented instruments. About half have launched some form of GenAI characteristic, but it surely usually sits on prime of older infrastructure, which limits its affect.

Climbers fall into a big center group. They’re visibly experimenting, often beginning with GenAI-powered chat or Q&A, however the expertise usually feels disconnected. With out the correct basis, the know-how struggles to ship. Whereas Spectators make up almost half of all corporations within the research, they’re the furthest behind. Fewer than one in 5 have adopted even primary instruments like vector search, and plenty of nonetheless rely completely on static content material and rules-based methods.

“The Climbers cohort reveals maybe crucial lesson from our analysis: implementing superior AI with out mastering the necessities is like constructing a penthouse on a weak basis,” said Mike Sinoway, CEO, Lucidworks. 

“Corporations that steadiness ‘one for them, one for you,’ e.g. implementing customer-facing improvements whereas concurrently strengthening foundational capabilities, are those that finally grow to be Achievers. Every functionality cohort represents not only a present state, however a strategic selection about your AI implementation journey.”

Sinoway’s level about mastering the necessities earlier than layering on superior options applies on to how corporations handle their knowledge. What separates the extra superior corporations from the remaining usually comes all the way down to knowledge high quality. 

Achievers will not be simply deploying GenAI, they’re feeding it the correct inputs. Their methods are constructed on clear, multilingual, and vector-ready datasets that enable GenAI instruments to retrieve, interpret, and reply successfully. Corporations within the decrease tiers could have entry to comparable fashions, however with out the correct knowledge structure behind them, the expertise breaks down shortly.

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The report additionally outlines 24 capabilities that outline the maturity curve for GenAI, grouped into 4 levels from foundational to transformative. Among the most superior corporations are experimenting with agentic AI, which refers to instruments that may take motion throughout methods with out direct enter. However these options solely work when the fundamentals are already in place. With out clear knowledge, structured content material, and built-in workflows, even the neatest instruments can fall flat.

That’s why the report recommends a dual-track technique, which entails constructing customer-facing GenAI options whereas concurrently strengthening the backend methods that help them. Main corporations aren’t simply launching AI-powered search or chat, they’re additionally investing in content material construction, system integration, and governance behind the scenes. It’s this coordinated strategy that enables GenAI to ship real-world outcomes. 

This strategy isn’t evenly adopted throughout the board. The report highlights a transparent divide between sectors, with 41% of B2C corporations qualifying as Achievers, in comparison with simply 31% of B2B organizations. Shopper-facing manufacturers have been faster to deliver GenAI into their buyer experiences, whereas many B2B corporations are nonetheless working by way of foundational points. This hole isn’t just a benchmark; it factors to each a danger for slower movers and a window of alternative for these able to catch up.

Lucidworks recommends that, to maneuver ahead, analytics leaders ought to concentrate on constructing a strong basis earlier than scaling GenAI. The report highlights circumstances like Klarna’s latest setbacok, the place the fintech agency needed to rehire workers after changing 700 roles with AI as a consequence of a decline in service high quality. The true benefit will go to corporations which can be capable of steadiness ambition with knowledge, as one with out the opposite is unlikely to ship lasting success.

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