How to Train Your Sales Team on the Complex Ethics of Selling AI Products
Selling AI requires a different mindset and approach
Selling AI requires a different mindset and approach
AI has proven to be a technology that works remarkably well when pointed in the right direction
The pressure to build an AI team has arrived almost overnight
For a good number of years the venture capital world seemingly was primarily focused on finding the next billion dollar company
Sales Engineering is often one of the most poorly understood functions in the SaaS and AI world.
The title of Chief AI Officer is now the fastest growing C-suite role in corporate history
For most of the 20th century, the organizational pyramid followed a fairly typical structure. Executives set the general direction while middle managers translated strategy into tasks, kept information flowing up and down, and ensured accountability via individual contributor performance.
For two decades, the per-seat license was the engine of the software industry.
The math for this type of approach has been quite simple, the contracts were predictable and the revenue was recurring.
Only a couple of years ago AI skills on a resume typically meant knowing how to write a ChatGPT prompt. Today it means something far more nuanced and often much more demanding. Across industries, hiring managers are redesigning interview questions, job descriptions, and their definitions of competence.
Something fundamental has shifted in the nature of what organizations now need from the people perched at the top. For decades, leadership was largely a function of judgment, experience, and the ability to mobilize other humans. The arrival of capable artificial intelligence has inserted a new variable into the management equation, and the organizations that recognize this earliest will build the most cogent and durable competitive advantage.
OpenAI recently garnered an additional long-term financial commitment from Redmond and, at the same time, made it very clear that MS views their particular offerings and partnership possibilities as superb if not near transformative given the vibes trickling out of the corridors east of Lake Washington.
From remote workers to delivery vans, AI is now being utilized by a wide swath of businesses to surveil, correct, and determine workforce activities at increasingly comprehensive levels on a daily basis. The notion of monitoring production in the company environment certainly is far from new and has undergone countless permutations over the years.