Why 1-in-3 GenAI Projects Will Be Abandoned in 2025—and How You Can Beat the Odds
Published Dec 10, 2024
Looking ahead to 2025, enterprises are gearing up for a world reshaped by agents. According to Gartner: the number one strategic technology trend for 2025 is the “agentic enterprise,” reflecting a future where agents replace standard programmatic roles, help craft strategies, recommend actions, and reach customers and prospects at scale. But the agentic enterprise cannot exist without a unified data architecture—one that ensures data quality, consistency, governance, and interoperability.
Though Gartner also predicts that “at least 30% of generative AI (GenAI) projects will be abandoned after proof of concept by the end of 2025, due to siloed data, poor data quality, inadequate risk controls, escalating costs or unclear business value.”
The high abandonment rate is not for lack of ambition. Organizations are investing heavily—many investing between $200 thousand to $2 million+ —in GenAI projects intended to boost productivity, transform business models, and uncover novel revenue streams. The challenge? Justifying these significant expenditures when brittle and risky data architectures are in place. To achieve the intended plan for an agentic enterprise and to go beyond the initial level of productivity expectations, organizations must prioritize a robust and unified data fabric that ensures a foundation of synchronized data from all systems within an organization.
Addressing the Stalling GenAI Projects:
Poor Data Quality: Without standardized, clean data, GenAI projects produce unreliable outputs. Incomplete, duplicated, or outdated data leads to incorrect insights and can erode trust.
Inadequate Risk Controls: As GenAI projects become integral to operations, issues like bias, regulatory non-compliance, and security vulnerabilities grow. Organizations lacking solid governance frameworks often resort to pulling the plug mid-project.
Escalating Costs and Unclear Value: Justifying multi-million-dollar investments becomes difficult when data pipelines aren’t unified, governance frameworks aren’t in place, and teams can’t quickly demonstrate tangible business benefits.
Siloed and Fragmented Architectures: Data living in disparate systems—on-premises servers, various SaaS apps, and multiple cloud platforms—makes building a scalable, integrated, and compliant data environment daunting.
How Lingk Enables Data Readiness for GenAI Success
Lingk’s All-in-One Data Platform offers a holistic approach to data integration, metadata management, governance, and automation. By building a unified data architecture, Lingk helps organizations ensure their GenAI initiatives don’t just pass proof-of-concept, but actually thrive in production.
Unified Data Integration with the Lingk iPaaS+:
Lingk’s iPaaS consolidates and transforms data from diverse sources—ranging from legacy on-prem systems to cutting-edge SaaS applications—into a single, coherent data ecosystem. This means you can rapidly assemble the high-quality datasets your GenAI-driven application agents need without spending months wrangling incompatible formats.Metadata Management and Governance through Lingk Data Cloud:
High data quality is impossible without rich metadata and rigorous governance. Lingk’s Data Cloud provides a central hub for cataloging, enriching, and governing data assets. Automated quality checks ensure that every piece of information feeding into your GenAI-driven application agents is traceable, compliant, and reliable. This reduces the risk of producing biased or flawed insights, and preemptively addresses regulatory, privacy, and security concerns.Automated Data Quality and Pipeline Management with Data Integrator Agents:
To scale GenAI application efforts, organizations need to reduce the operational burden of data preparation. Lingk’s family of Data Agents act as automated integrators, stewards, and engineers continuously monitoring, cleaning, and refining data pipelines. They help build and maintain the gold standards of data quality, minimizing manual intervention and enabling teams to focus on extracting value rather than policing data quality.Future-Proofing Data with Lingk’s Data Lakehouse:
Lingk also provides a modern, scalable Data Lakehouse fully integrated with the Lingk iPaaS+. This future-ready approach allows organizations to avoid the burdensome DIY setup and maintenance of a modern Data Lakehouse — ensuring that their GenAI-based analytics initiatives have the right data infrastructure to evolve quickly with changing business needs.
Turning the Tide on GenAI Abandonment
By the end of 2025, organizations that fail to address these data challenges will find themselves among the 30% forced to abandon their GenAI projects. But those that invest now in robust data architectures and governance frameworks can turn adversity into opportunity. They’ll see improved ROI, clearer paths to monetization, and the ability to scale GenAI related deployments confidently.
The road to the agentic enterprise is paved with data — high-quality, well-governed, and reliably integrated data. With Lingk’s unified data architecture, businesses can ensure that their GenAI initiatives not only survive the proof-of-concept stage but deliver sustainable value, fueling growth, innovation, and resilience.
As 2024 comes to a close and we enter 2025, it’s time to future-proof your GenAI strategies. Don’t let your organization’s multimillion-dollar investments go to waste. Embrace Lingk’s comprehensive data platform and prepare to succeed in a world where the agentic enterprise isn’t just an idea—it’s the new normal.
Unlock the Power of Lingk’s iPaaS+
Lingk is a leading provider of data integration and management solutions for institutions and organizations across industries. Through its award-winning iPaaS+, the groundbreaking Lingk Data Cloud, and AI-driven Data Agents, Lingk empowers teams to unify their data fabrics, drive efficiency, and build a foundation for the agentic enterprise of the future.
