ChatGPT for Teachers expands to 55 districts with new privacy framework

You can now create decent video faster than you watch it. This is the start of... something. We’re not sure what.

You can now create decent video faster than you watch it. This is the start of... something. We’re not sure what.

OpenAI is offering some large customers outcome-based pricing, where they pay only once the AI actually finishes a task. Salesforce, Adobe, and several startups are also moving away from fixed subscription fees. The central dispute stays the same. Who gets credit for the success, the software or the customer? The article OpenAI starts charging some customers only when its AI actually works appeared first on The Decoder.

OpenAI is offering some large customers outcome-based pricing, where they pay only once the AI actually finishes a task. Salesforce, Adobe, and several startups are also moving away from fixed subscription fees. The central dispute stays the same. Who gets credit for the success, the software or the customer? The article OpenAI starts charging some customers only when its AI actually works appeared first on The Decoder.

Most marketing teams deploy AI to accelerate existing work—drafting emails, generating variations, scoring leads faster. Liza Adams, founder of GrowthPath Partners, argues this efficiency-first approach misses the real opportunity: reimagining workflows to do work that wasn't possible before. An efficiency-only strategy quietly makes the case for fewer people; reimagined work makes the case for why humans are essential. Adams proposes a test: if removing AI just slows things down, you're optimizing old work. If you wouldn't do it at all without AI—because it was too slow, expensive, or impossible—you've found the sweet spot. She identifies common failure modes: treating AI adoption as a licensing decision rather than a strategy, confusing training problems with belief problems, and reorganizing before rethinking the work itself. She also highlights a less-discussed obstacle: leaders who shut down experimentation after the first failure, killing the culture of learning. At MAICON 2026, Adams will guide marketing leaders through identifying which workflows merit reimagining, designing agentic human+AI systems with proper human gates, and building frameworks they can apply to their own teams.

Most marketing teams deploy AI to accelerate existing work—drafting emails, generating variations, scoring leads faster. Liza Adams, founder of GrowthPath Partners, argues this efficiency-first approach misses the real opportunity: reimagining workflows to do work that wasn't possible before. An efficiency-only strategy quietly makes the case for fewer people; reimagined work makes the case for why humans are essential. Adams proposes a test: if removing AI just slows things down, you're optimizing old work. If you wouldn't do it at all without AI—because it was too slow, expensive, or impossible—you've found the sweet spot. She identifies common failure modes: treating AI adoption as a licensing decision rather than a strategy, confusing training problems with belief problems, and reorganizing before rethinking the work itself. She also highlights a less-discussed obstacle: leaders who shut down experimentation after the first failure, killing the culture of learning. At MAICON 2026, Adams will guide marketing leaders through identifying which workflows merit reimagining, designing agentic human+AI systems with proper human gates, and building frameworks they can apply to their own teams.