This week’s selections highlight how organizations are applying AI in workflows, operations, and customer-facing use cases and what executives are learning as they scale adoption across functions.
1. Enterprise research points to growing AI governance gaps as usage deepens
New research highlights that companies using AI more widely are encountering governance and risk management challenges as usage moves beyond pilots into production workflows. Firms are realizing that without formal structures for monitoring, auditing, and controlling AI outputs, they expose themselves to compliance, security, and accuracy risks, even as productivity and automation benefits accumulate. This underscores a growing need for board-level oversight and cross-functional policies that tie AI usage to risk, quality and trust frameworks.
Read the full story on PR Newswire
2. Small businesses report AI is driving growth and competitive differentiation
A new LinkedIn-based report shows that 2026 is shaping up as a defining year for small and midsize businesses using AI strategically. According to LinkedIn research, many small firms now use AI to automate routine tasks, enhance decision making, and free up time for innovation and customer engagement. Leaders cite AI-augmented workflows as a competitive edge, with AI literacy and upskilling emerging as differentiators in tight labor markets and shifting customer expectations.
Read the full story on U.S. Chamber of Commerce
3. Goldman Sachs teams up with Anthropic to automate internal banking tasks
Goldman Sachs confirmed a multi-month collaboration with Anthropic to develop AI agents that handle routine operational work such as trade and transaction accounting, client due diligence reviews, and onboarding processes. The effort uses Anthropic’s Claude model family to shorten cycle times, reduce manual workload, and improve operational efficiency. While still in development, this initiative shows how banks can transition from generic AI experimentation to practical automation within complex workflows.
Read the full story on Reuters
4. Amazon’s AI tools aim to transform TV and film production workflows
Amazon is embedding AI into its MGM studio production pipeline to streamline creative and technical processes, such as maintaining character continuity and speeding up editing tasks. The work is structured as an internal innovation team and will undergo closed beta testing in early 2026. Company leaders emphasize that the tools are designed to support human creators, helping them complete repetitive tasks faster instead of replacing their roles, demonstrating how AI can augment creative workflows in content-driven businesses.
Read the full story on Reuters
5. Tapestry integrates AI into design workflows at Coach and Kate Spade
Design teams at Coach and Kate Spade (both part of Tapestry) are actively using AI tools to accelerate product development cycles. AI assists with iterative design exploration, color variations, and supply chain planning, allowing teams to test ideas faster and refine styles with greater precision. While human designers remain central to creative decisions, the integration of AI into the workflow has helped Coach report stronger sales growth, illustrating how AI can boost productivity without displacing core talent.
Read the full story on Business Insider
6. Corporate AI Outlook Study (2026) Infographic
Benchmark how AI leaders are scaling adoption, managing risk, and funding AI priorities for 2026. The 2026 Corporate AI Outlook Study shares practical findings from a national survey of corporate AI Directors, CAIOs, CIOs and related executives to identify a new AI Adoption Stages™ framework, and an AI Budget Index™ that quantifies AI spending expectations.
Why It Matters?
- Governance and trust are now strategic priorities. As enterprises scale AI usage, basic policies around data, oversight, and risk are becoming urgent business needs.
- Small businesses aren’t left behind. The LinkedIn report shows AI is a tactical growth engine for smaller firms, not just large enterprises, reinforcing that strategic AI use spans the economy.
- Enterprise automation is advancing beyond hype. The Goldman-Anthropic example shows executives are now building and piloting AI agents that could meaningfully cut operational costs and time in regulated industries.
- AI augments creative and technical workflows. Amazon and Tapestry’s stories demonstrate how AI is integrated into real creative processes — from film editing to fashion design — with measurable productivity payoffs.
Stay Ahead with the AI Insiders Newsletter
Join more than 55,000 AI executives and innovators for exclusive insights, strategies, and trends shaping the future of AI leadership. Subscribe to the AI Insiders Newsletter.