Don Schuerman, a Forbes Councils member, warned that an audit trail must never be treated as another piece of content that an AI agent is free to manipulate, in a Forbes Innovation piece titled "When …
Private equity firms must now treat AI governance as a diligence issue, according to a Forbes Councils column by Chris "Jay" Hawkinson, who writes that the most important step a company can take is de…
Ameya Kanitkar, a Forbes Councils Member, argues in a Forbes Innovation guide that enterprise AI purchasing decisions still focus on token prices even though token price reveals little about the true …
Forbes Councils member Jerry Tang argues in a Forbes Innovation piece that AI video generation shifts the economics of inference from per-request compute costs to a model where content is computed onc…
Forbes Councils member Kayode Faturoti argues that AI's value in software development lies in augmenting developers who already understand systems, spot missing context, and take responsibility for pr…
Steve Taplin, a Forbes Councils Member, writes that despite 80% AI adoption, software delivery has not gotten faster because of an "AI validation gap" — the absence of evaluation, measurement or trust…
Forbes Councils Member Taras Tymoshchuk published a September 18, 2026 Forbes Innovation piece arguing that a successful AI proof of concept can mask underlying risks, and that a useful PoC should red…
Forbes Councils member Iri Trashanski argues that as AI moves into the physical world, sensing and connectivity become part of the architecture, making the AI race increasingly a silicon race. The For…
Greg Ombach, a Forbes Councils Member, argues in a Forbes Innovation piece that physical AI requires a new architecture to scale, proposing a path of defining the operating domain, proving performance…
The digital workspace is shifting from an application-delivery model to an orchestration layer that connects people, AI agents, applications, enterprise data and security policies, according to Forbes…
Forbes Councils member Brian Wilson writes that hidden token costs are making AI prohibitively expensive, and that FinOps practices can trim the bill. Wilson argues that when organizations can see and…
Forbes Councils member Son Nguyen argues that the choice between AI models such as Fable and DeepSeek matters less than how the surrounding AI system is designed, writing that "the difference is rarel…
Forbes Councils member Nick Heddy argues that employee use of unsanctioned AI tools, or "shadow AI," is a trust, data and governance issue rather than merely a productivity one, and that corporate gov…
Vinod Bijlani, a Forbes Councils Member, argues in a Forbes Innovation piece that dollars per FLOP is becoming a critical AI cost metric, and that tech leaders need to understand how efficiently capit…
Forbes Councils Member Morey Haber writes that ownership of AI-generated content is considerably more complicated than accepting a licensing agreement or acceptable use policy. The Forbes Innovation p…
Shawn Rosemarin, a Forbes Councils Member, argues in a Forbes Innovation piece that organizations have focused on building data pipelines while neglecting the data-refining infrastructure needed for A…
Forbes Councils member Ambarish Majumdar argues that developers should design the individual skills an AI agent needs before building the agent itself. The Forbes Innovation piece frames skill-level d…
Forbes Councils member Ofer Klein argues that AI security requires more than a single control plane, recommending organizations focus AI governance where failure would carry real business consequences…
Forbes Councils member Nicola Sfondrini argues that agentic AI value cannot be measured with traditional cloud economics, warning that AI agents create a new form of infrastructure debt he calls the "…
Forbes Councils member David Matalon argues that companies adopting AI must put controls in place that reflect how employees actually work across applications, devices and employment arrangements, so …