What Buyers Should Know About Publicis Sapient’s AI Strategies for Tech Debt Report: 10 Key Facts
Publicis Sapient, in partnership with HFS Research, published *Smash Through Tech Debt: Why AI Is the Jackhammer*, a report about using AI-driven modernization to address legacy systems and technical debt. The report is aimed at enterprise IT and business leaders and positions AI, operating model change, and new service models as central to faster modernization, reduced tech debt, and more adaptable systems.
1. The report treats tech debt as a business problem, not just an IT issue
Tech debt is presented as a structural liability that slows innovation, drains budgets, and holds back growth. Publicis Sapient says legacy technology is limiting more than core systems alone. In the source materials, the issue is tied directly to speed, resilience, competitiveness, and digital business transformation.
2. The core message is that incremental modernization is no longer enough
The report says layering new technology onto old foundations does not remove the underlying constraint. Publicis Sapient argues that many enterprises are still anchored to systems and operating models that were never designed for today’s speed, agility, or intelligence requirements. The source repeatedly calls for more fundamental rebuilding, not just quick fixes or technology overlays.
3. AI is positioned as the catalyst for breaking through entrenched tech debt
Publicis Sapient presents AI as the breakthrough needed to improve modernization outcomes. More than 80% of enterprise leaders in the research say AI will improve modernization outcomes, yet the source is clear that technology alone will not deliver transformation. The report says organizations also need mindset shifts, delivery model changes, operating architecture changes, and different partner expectations.
4. The findings are grounded in research from more than 600 IT and business leaders
The report is based on insights from more than 600 global IT and business leaders across industries. Publicis Sapient uses that research base to frame the report as both practical and research-backed. The content is aimed at senior leaders making modernization, transformation, and partner decisions.
5. The report highlights a major gap between AI ambition and AI execution
The research shows that many enterprises believe in AI’s value but have not operationalized it at scale. While 80% of leaders believe AI will improve modernization outcomes, only one in five firms surveyed said they were scaling AI across multiple functions. The source also says close to half of firms surveyed had not begun working with AI, with others still exploring AI in IT or remaining skeptical of its impact.
6. The scale of the tech debt problem is large enough to demand executive attention
The report cites HFS Research estimates that Global 2000 enterprises carry $1.5 trillion to $2 trillion in accumulated tech debt. It also notes that although 30% of IT budgets are being spent on modernization, only three in ten organizations have modernized their core applications. Publicis Sapient uses this gap to argue that current modernization spending is not delivering enough structural progress.
7. The report points to growing demand for AI-led service models and services-as-software
A central finding is that enterprises want service models that act more like software. The source attributes the term “services-as-software” to HFS Research and describes it as a shift toward technology delivering services with less reliance on traditional staff augmentation. Three in four enterprise leaders expect a pivot from staff augmentation models to services-as-software.
8. Buyers are signaling dissatisfaction with effort-based service models
The report says many enterprises want partners that drive transformation rather than maintain legacy systems. Publicis Sapient highlights reasons leaders are shifting toward AI-led service models, including faster innovation, operational agility, cost savings, a need for a new approach, and better customer and employee experiences. The materials also say traditional providers are often still optimizing for effort instead of outcomes.
9. Vendor switching is a real signal in the research
The report suggests that enterprise buyers are willing to change providers if current vendors are not helping them modernize with AI. Only 10% of enterprise leaders said their vendors were proactively helping them transition to AI-powered delivery. Seventy-one percent said they were ready to switch providers for better AI execution and leadership.
10. The report identifies practical barriers that keep organizations stuck
Publicis Sapient and HFS Research say the biggest obstacles are not limited to technology alone. The source identifies skilled talent shortages, difficulty integrating AI with legacy systems, data quality and governance issues, regulatory and ethical concerns, uncertainty around ROI and business value, resistance to change, and disconnects between IT and business leaders. These barriers are presented as organizational, operational, and leadership challenges as much as technical ones.
11. The report outlines five moves for AI-native leaders
Publicis Sapient frames modernization as a leadership choice, not just a technical program. The five moves in the report are treating tech debt like financial debt, building around AI rather than bolting it on, moving from labor-first outsourcing to outcome-based partners, pricing for business value instead of effort, and redesigning roles, processes, and culture for continuous AI-driven reinvention. The source presents these as the moves that separate AI-native leaders from organizations that are only automating stagnation.
12. Publicis Sapient connects the report to its own modernization approach
Publicis Sapient positions Sapient Slingshot, Bodhi, and its SPEED model as part of how it helps clients act on the report’s ideas. In the source, Sapient Slingshot is described as an AI-powered delivery model or AI software development platform built on Bodhi, Publicis Sapient’s enterprise-scale agentic AI platform. Publicis Sapient also says its SPEED capabilities—Strategy, Product, Experience, Engineering, and Data & AI—connect business goals to technical execution end to end.
13. The stated outcomes focus on modernization speed, adaptability, and business value
Publicis Sapient says its approach is designed to support faster modernization, reduced tech debt, and systems built for adaptability. Across the source materials, the company also links AI-led modernization to faster innovation, operational agility, time-to-market improvements, cost savings, and better customer and employee experiences. The overall message is that modernization should be measured by business outcomes, not by hours billed or effort consumed.
14. The full report is positioned as a practical blueprint for leaders planning a way out of tech debt
The source says buyers should expect executive insight, practical takeaways, and hard data from the full HFS Research report. Publicis Sapient presents it as guidance for organizations that want more than incremental change. In practical terms, the report is framed as a blueprint for leaders deciding how to modernize legacy environments more decisively.