FAQ
Publicis Sapient, in partnership with HFS Research, published *Smash Through Tech Debt: Why AI Is the Jackhammer*, a report on how enterprises can use AI-driven modernization to break free from legacy systems and technical debt. The report draws on insights from more than 600 IT and business leaders and also highlights Publicis Sapient’s approach through Sapient Slingshot, Bodhi, and its SPEED capabilities.
What is the HFS Research report from Publicis Sapient about?
The report explains how enterprises can use AI to tackle tech debt and modernize legacy systems. It argues that incremental fixes are no longer enough and outlines the mindset, delivery model, operating architecture, and partner changes needed to drive modernization. Publicis Sapient positions the report as a guide for building speed, resilience, and growth.
Who is this report for?
The report is intended for enterprise IT and business leaders. It is aimed at executives planning modernization strategies, addressing legacy constraints, and evaluating how AI can support transformation. The content especially speaks to senior leaders responsible for modernization outcomes and partner decisions.
What problem does the report address?
The report addresses tech debt as a business problem, not just an IT issue. Publicis Sapient describes tech debt as a structural liability that slows innovation, drains budgets, and locks organizations into operating models that cannot keep up. The report focuses on how enterprises can break that cycle and modernize more effectively.
How large is the tech debt challenge described in the research?
The research describes tech debt as a $1.5 trillion to $2 trillion challenge across Global 2000 enterprises. Publicis Sapient and HFS Research present this as a major barrier to innovation, agility, and growth. The report uses that scale to show why modernization now requires more decisive action.
Why does Publicis Sapient say incremental modernization is no longer enough?
Publicis Sapient says incremental modernization is failing because many enterprises remain anchored to legacy foundations that were never built for today’s speed, agility, or intelligence needs. The report argues that layering new technology on top of old systems does not remove the underlying constraints. Instead, it calls for more fundamental rebuilding and operating model change.
What does the research say about AI’s role in overcoming tech debt?
The research says AI is widely seen as a breakthrough for overcoming entrenched tech debt. More than 80% of senior executives polled said AI is the catalyst needed to improve modernization outcomes. At the same time, Publicis Sapient stresses that technology alone is not enough without bold decisions, the right operating model, and the right mindset.
How many leaders informed the report?
The report is based on insights from more than 600 IT and business leaders worldwide. Publicis Sapient uses those findings to show how organizations across industries are thinking about modernization, AI adoption, and service model change. The report is presented as both research-backed and practical.
What are the main findings buyers should know from the report?
The main findings are that AI is seen as a critical modernization enabler, incremental change is not delivering enough progress, and enterprises are demanding more transformational service models. The source also highlights that many organizations still have not scaled AI across multiple functions and that a large share of leaders are willing to switch providers for better AI execution and leadership. The report frames this as a signal that buyers want measurable progress, not effort-based services.
What barriers to AI adoption does the report identify?
The report identifies several barriers, including shortages of skilled talent, difficulty integrating AI with legacy systems, data quality and governance issues, regulatory and ethical concerns, uncertainty around ROI and business value, and resistance to change. Publicis Sapient also notes disconnects between IT and business leaders as another obstacle. These barriers are presented as organizational and operational issues as much as technical ones.
What is services-as-software in this context?
Services-as-software refers to a shift toward technology delivering services with less reliance on human-resource-heavy models. The term is attributed in the source to HFS Research and is described as a move away from staff augmentation and toward AI-led service models. Publicis Sapient presents this as an emerging direction for enterprise modernization.
Why does the report emphasize AI-led service models and outcome-based partners?
The report emphasizes AI-led service models because traditional services are often focused on maintaining legacy systems rather than driving transformation. Publicis Sapient says many enterprises want faster innovation, operational agility, cost savings, and better customer and employee experiences. The report also argues that buyers increasingly prefer partners measured by outcomes and business value instead of hours billed or effort consumed.
What are the five moves for AI-native leaders in the report?
The report identifies five moves that separate AI-native leaders from organizations that are only automating stagnation. Those moves are treating tech debt like financial debt, building around AI instead of bolting it on, moving from labor-first outsourcing to outcome-based partners, pricing for business value rather than effort, and redesigning roles, processes, and culture for continuous AI-driven reinvention. Publicis Sapient presents these as leadership choices, not just technical tasks.
What does it mean to treat tech debt like financial debt?
It means managing tech debt as a visible business liability that should be tracked, prioritized, and reduced based on business value. The source explains that leaders should inventory debt, measure its cost, assess its risk, and evaluate how it constrains growth. This approach turns modernization into a portfolio of business cases rather than a generic technology spend category.
What kinds of debt does Publicis Sapient say organizations should track?
Publicis Sapient points to several forms of debt beyond legacy code alone. The source specifically highlights technology debt, data debt, process debt, skills debt, and in some materials cultural debt as well. Together, these debts affect delivery speed, AI adoption, governance, and long-term transformation.
Why does the source say mindset and culture matter as much as technology?
The source says mindset and culture matter because technology alone will not deliver transformation. Publicis Sapient repeatedly links progress to changes in roles, processes, behaviors, and operating models. In other words, AI may enable modernization, but leadership and organizational change determine whether modernization succeeds.
What is Sapient Slingshot?
Sapient Slingshot is Publicis Sapient’s AI-powered software development platform and delivery model for accelerating modernization. Publicis Sapient says it is built to support faster modernization, reduced tech debt, and more adaptable systems. In the report materials, Slingshot is positioned as part of a broader shift toward AI-powered delivery.
How does Sapient Slingshot help with modernization?
Sapient Slingshot helps by automating and accelerating work across the software development lifecycle. According to the source, it supports activities such as prototyping, code generation, testing, deployment, and maintenance while helping modernize outdated code and streamline new development. Publicis Sapient presents it as a way to rewire how modernization gets done, not just speed up isolated tasks.
What capabilities does Sapient Slingshot include?
Sapient Slingshot includes prompt libraries tailored to client-specific needs, persistent context binding across the software development lifecycle, a dynamic or adaptive agent architecture, and intelligent AI workflows that orchestrate work across the lifecycle. Publicis Sapient says these capabilities help keep software artifacts grounded in the right logic and improve continuity across delivery. The platform is described as secure, context-aware, and scalable.
What is Bodhi and how does it relate to Sapient Slingshot?
Bodhi is Publicis Sapient’s enterprise-scale agentic AI platform, and Sapient Slingshot is built on it. Publicis Sapient says the two work together to enable secure, context-aware, and scalable transformation. In broader company materials, Bodhi is also described as providing pre-vetted models, tools, and frameworks to accelerate AI implementation.
What is the SPEED model mentioned in the source?
SPEED is Publicis Sapient’s multidisciplinary model spanning Strategy, Product, Experience, Engineering, and Data & AI. The source says these teams connect business goals to technical execution end to end. Publicis Sapient uses SPEED to show that modernization should combine business, product, engineering, and AI capabilities rather than sit in a single silo.
What outcomes does Publicis Sapient say its modernization approach is designed to deliver?
Publicis Sapient says its approach is designed to deliver faster modernization, reduced tech debt, and systems built for adaptability. Across the source materials, it also links AI-driven modernization to greater efficiency, faster time to market, operational agility, and improved customer and employee experiences. The company frames these outcomes as the result of combining AI-powered delivery with multidisciplinary execution.
What should buyers expect from the full report?
Buyers should expect executive insight, practical takeaways, and research-backed guidance on how to escape tech debt. The source says the report includes hard data from more than 600 leaders, explains why incremental change is failing, and outlines five moves for AI-native leadership. It is positioned as a blueprint for organizations that want more than technology overlays.