KPMG US

𝗜𝗻 𝗰𝗮𝘀𝗲 𝘆𝗼𝘂 𝗺𝗶𝘀𝘀𝗲𝗱 𝗶𝘁 | KPMG became the first of the Big Four to achieve AIUC-1 certification, reinforcing our commitment to trusted, governed AI. Following our recent ISO 42001 certification, this independent validation confirms the security, reliability, and governance controls behind aIQ Capture, KPMG's agentic AI organizational intelligence platform. As organizations increasingly deploy AI agents across the enterprise, building confidence in how these systems operate is becoming essential. AIUC-1 provides a rigorous benchmark for demonstrating that AI systems can perform safely, reliably, and as intended under real-world conditions. Hear from KPMG US Trusted AI Leader Aisha Tahirkheli as she shares perspectives on KPMG's latest milestone in responsible AI innovation 📽️ https://ow.ly/8QaP50ZHM3U

The auto industry is facing disruption at every turn. The question facing autotech leaders now: how do you scale, stay agile, and become transaction-ready in a shifting market? Last week, we held our 8th Annual Automotive Innovation Summit in partnership with Aon, Bank of America, Skadden, Arps, Slate, Meagher & Flom LLP and Affiliates, and Plug and Play Mobility & Physical AI. Stakeholders across the ecosystem including OEMs, suppliers, investors, insurers, and innovators gathered to discuss the opportunities, risks, and the evolving path from innovation to investment. Take a look at a recap of the action below 📸

𝗬𝗼𝘂𝗿 𝗦𝗮𝘁𝘂𝗿𝗱𝗮𝘆 𝗠𝗼𝗿𝗻𝗶𝗻𝗴 𝗖𝗼𝗳𝗳𝗲𝗲 𝗥𝗲𝗮𝗱 ☕ As trade tensions between the U.S. and Canada intensify, automakers are grappling with yet another round of uncertainty. KPMG's Lenny LaRocca highlighted a challenge many manufacturers know well: while companies may look to adjust sourcing strategies in response to tariffs, supply chains cannot be moved overnight. Shifting suppliers takes time, requires significant investment, and can be especially difficult when certain materials and components have long relied on established Canadian sources. For automotive leaders, resilience remains just as important as flexibility.

As quantum computing advances, organizations face a dual challenge: preparing for emerging cyber risks while understanding where quantum could create future business value. In a recent episode of The New Quantum Era podcast, Richard Entrup, Managing Director, Emerging Solutions at KPMG US, joined host Sebastian Hassinger to discuss why quantum readiness belongs in the boardroom, the realities of post-quantum cryptography migration, and what leaders should be doing now to prepare for the future.

The conversations continue. At the 2026 Tech & Innovation Symposium, KPMG brought together industry leaders to explore the tension between human value and technological scale, and the decisions organizations face in an era of accelerating change. Across 3 days, 28 sessions and 58 speakers, participants examined the forces reshaping business, technology, and innovation. Now, we're extending those conversations beyond the event. #KPMGTechAndInnovation26

We’re proud to announce that KPMG is the first Big Four firm to achieve AIUC-1 certification, an independent validation of the security, reliability, and governance controls behind our proprietary AI agent platform. It's another step forward in our commitment to helping organizations build, deploy, and scale AI responsibly. Learn more: https://lnkd.in/e42sPw3w

New data from KPMG Private reveals a growing challenge for US family enterprises: while more than 90% have a clear plan for growth, many are still building the capabilities, governance, and leadership structures needed to achieve it. As family businesses look to scale, leaders are focused on strengthening areas such as AI governance, talent acquisition and upskilling, and succession planning.

As dealmakers navigate increasingly complex transactions, technology is helping to accelerate execution. AI adoption is growing across M&A activities, from target screening and due diligence to market analysis and transaction planning.

AI can already speed up individual tasks. The bigger question for enterprise leaders is whether it can operate across the workflows, controls, and regulatory realities that actually run the business.    In our latest article, Chris Long and Kevin Bogle make the case for industry-built AI, technology designed around the specific conditions of a sector, not just general capability.    A few takeaways:  🔹 General-purpose AI helps with discrete tasks, but enterprise value comes from orchestrating work across the business  🔹 In regulated industries like financial services and legal, trust, data lineage, and governance are non-negotiable  🔹 Google Cloud's Gemini Enterprise for Financial Services and Legal show what this looks like in practice, grounding outputs in verifiable sources with full data provenance  🔹 KPMG and Google Cloud are teaming up to bring this approach to high-value workflows in healthcare and finance transformation    For leaders, the shift is from proving what AI can do to deciding where it can be trusted to act. Read the full piece from Chris and Kevin below. 👇