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Consumer packaged goods (CPG) enterprises are redesigning their operating models around AI-first intelligence to optimize portfolios, automate decisions, and modernize production. They are recalibrating their global supply bases in response to tariff volatility, using digital twins, AI, and predictive analytics to diversify sourcing and strengthen resilience. To protect margins, firms are reshaping go-to-market strategies, scaling retail media, and reallocating spend to high-ROI channels. Manufacturing operations are shifting toward autonomous, predictive systems powered by IoT, robots, and AI maintenance. Real-time demand sensing is being adopted to mitigate stockouts, improve pricing, and prevent revenue leakage. Additionally, sustainability expectations are accelerating the adoption of circular packaging and low-footprint product models across the value chain.
The CPG Services 2025–2026 RadarView™ helps consumer packaged goods enterprises craft a robust strategy based on industry outlook, best practices, and digital transformation. The report can also aid them in identifying the right partners and service providers to accelerate their digital transformation in this space. The 92-page report also highlights top market trends in the consumer packaged goods space and Avasant’s viewpoint.
The Content Trust and Safety Business Process Transformation 2025–2026 Market Insights offers a comprehensive overview of the content trust and safety landscape, examining recent trends and the industry’s future direction. Key trends include market pressures and ecosystem fragmentation reshaping trust and safety models, surging harmful content outpacing industry maturity, AI-driven automation streamlining moderation while elevating human oversight, a structural wellness crisis posing severe operational challenges, and global regulatory shifts compelling increased safety investments and mandating “safety by design” capabilities.
The content trust and safety industry is undergoing a pivotal transformation driven by regulatory acceleration, AI-driven automation, and structural wellness challenges. With demand for harmful content moderation growing at a strong double-digit CAGR, new global regimes in the EU, the UK, and India are mandating “safety by design” and imposing fines that reach 10% of global revenue. These pressures have reshaped the market landscape, with medium-sized clients now accounting for 41% of provider revenue, displacing large enterprises as the primary driver of growth. This democratization, alongside a shift toward transactional sectors such as e-commerce, underpinned an approximate 11.2% growth in service provider revenue, reinforcing the urgent need for AI-native platforms and resilient workforce models. Both demand- and supply-side trends are covered in Avasant’s Content Trust and Safety Business Process Transformation 2025–2026 Market Insights™ and Content Trust and Safety Business Process Transformation 2025–2026 RadarView™ , respectively.
The Content Trust and Safety Business Process Transformation 2025–2026 RadarView™ assists organizations in identifying strategic partners for content trust and safety services by offering detailed capabilities and experience analyses for service providers. It provides a 360-degree view of key content trust and safety service providers across practice maturity and future-proofing, thereby supporting enterprises in identifying the right service partner. The report highlights top supply-side trends in the content trust and safety business process transformation space and Avasant’s viewpoint on them.
This paper distills the most consequential announcements from AWS re:Invent 2025 through a CIO lens, examining how agentic AI, purpose-built infrastructure, and governance-first platforms are reshaping enterprise AI adoption. It explores why many organizations struggle to scale beyond AI pilots and what AWS’s evolving strategy, from AWS AI Factories and custom silicon to governed agent platforms and developer acceleration, means in practice. Drawing on real enterprise cases, the paper provides CIOs with a practical road map for achieving responsible, large-scale AI results.
As organizations rethink how they operate, procurement has shifted from a cost-driven function to a meaningful driver of sustainability and long-term value. As global supply chains grow more complex and stakeholders demand greater accountability, organizations are being called to embed Environmental, Social, and Governance (ESG) principles into every facet of their operations. Procurement, sitting at the intersection of internal strategy and external impact, is uniquely positioned to lead this transformation. Sustainable procurement goes beyond selecting eco-friendly products; it involves rethinking supplier relationships, evaluating lifecycle impacts, and ensuring ethical labor practices across the value chain. By aligning procurement strategies with ESG goals, companies can not only mitigate risks and ensure compliance but also unlock innovation, enhance brand reputation, and contribute meaningfully to global sustainability targets.
Artificial Intelligence (AI) has emerged as a transformative force in supply chain and procurement, revolutionizing how enterprises manage complexity, optimize costs, and enhance resilience. Recent advancements in AI, such as predictive analytics for demand forecasting, machine learning for supplier evaluation, and automation in inventory management, are enabling organizations to streamline operations and improve decision-making. For instance, a leading manufacturing firm recently leveraged AI-driven supplier risk analysis to reduce procurement costs by 15%, as highlighted in an Avasant 2025 case study that discusses implementation and integration of AI across procurement ecosystems.
As C-level executives undergo and navigate an era of unprecedented technological disruption, imagine embedding AI not just as a tool, but as a strategic governance and compliance partner in your organization’s sourcing and procurement functions. Albania recently appointed the world’s first AI-powered minister, named “Diella”[1], to oversee public procurement processes. Proponents argue that AI can enhance transparency and efficiency, while critics warn of significant risks, including ethical dilemmas, accountability issues, and potential misuse of technology. Diella represents a bold step toward AI-orchestrated supply chains that anticipate risks, optimize costs, and drive ethical innovation—yet it also stands as a high-stakes gamble that could expose enterprises to unseen vulnerabilities.
Artificial intelligence is quickly becoming integrated into the modern workplace, but alongside its benefits lies a quieter risk: the erosion of human critical thinking. The concern isn’t abstract; a 2025 MIT study using EEG scans found that students who relied on ChatGPT showed significantly lower levels of brain engagement compared to peers working without AI. Left unchecked, this pattern could leave organizations with workforces that are efficient but brittle—capable of executing, but less capable of questioning, innovating, or adapting when AI gets it wrong. This dependency might also amplify errors in dynamic environments where AI hallucinations or biases go unnoticed, further underscoring the need for balanced integration. The challenge for leaders is clear: how to harness AI’s efficiency while ensuring employees remain engaged thinkers.
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