Recent coverage highlights a growing trend of "AI-washing," where firms attribute workforce reductions to artificial intelligence despite lacking mature AI projects. The New York Times raised the question, noting that companies like Amazon and Pinterest have blamed AI for cuts that may stem from other issues such as pandemic‑era over‑hiring. A Forrester report warned that many announced AI‑related layoffs lack vetted AI applications, while Brookings senior fellow Molly Kinder called the AI excuse a "very investor‑friendly message." The phenomenon raises concerns about transparency and the true impact of AI on employment. Leer más →

Investors who once rushed into any startup that mentioned artificial intelligence are now scrutinizing claims more closely. The practice of exaggerating AI capabilities—known as AI‑washing—is prompting venture capitalists to seek concrete proof of product performance and market fit. Companies that demonstrate real value, especially in tightly regulated sectors, are attracting capital despite a broader slowdown in AI‑driven funding. Gradient Labs, a customer‑service platform built for regulated industries, illustrates how focused product development and strong investor relationships can secure a successful Series A round without relying on hype. Leer más →

Investors who once rushed into any startup that mentioned artificial intelligence are now scrutinizing claims more closely. The practice of exaggerating AI capabilities—known as AI‑washing—is prompting venture capitalists to seek concrete proof of product performance and market fit. Companies that demonstrate real value, especially in tightly regulated sectors, are attracting capital despite a broader slowdown in AI‑driven funding. Gradient Labs, a customer‑service platform built for regulated industries, illustrates how focused product development and strong investor relationships can secure a successful Series A round without relying on hype. Leer más →

Investors who once rushed into any startup that mentioned artificial intelligence are now scrutinizing claims more closely. The practice of exaggerating AI capabilities—known as AI‑washing—is prompting venture capitalists to seek concrete proof of product performance and market fit. Companies that demonstrate real value, especially in tightly regulated sectors, are attracting capital despite a broader slowdown in AI‑driven funding. Gradient Labs, a customer‑service platform built for regulated industries, illustrates how focused product development and strong investor relationships can secure a successful Series A round without relying on hype. Leer más →

Investors who once rushed into any startup that mentioned artificial intelligence are now scrutinizing claims more closely. The practice of exaggerating AI capabilities—known as AI‑washing—is prompting venture capitalists to seek concrete proof of product performance and market fit. Companies that demonstrate real value, especially in tightly regulated sectors, are attracting capital despite a broader slowdown in AI‑driven funding. Gradient Labs, a customer‑service platform built for regulated industries, illustrates how focused product development and strong investor relationships can secure a successful Series A round without relying on hype. Leer más →

Investors who once rushed into any startup that mentioned artificial intelligence are now scrutinizing claims more closely. The practice of exaggerating AI capabilities—known as AI‑washing—is prompting venture capitalists to seek concrete proof of product performance and market fit. Companies that demonstrate real value, especially in tightly regulated sectors, are attracting capital despite a broader slowdown in AI‑driven funding. Gradient Labs, a customer‑service platform built for regulated industries, illustrates how focused product development and strong investor relationships can secure a successful Series A round without relying on hype. Leer más →