𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝗜𝘀 𝗧𝗮𝗹𝗸𝗶𝗻𝗴 𝗔𝗯𝗼𝘂𝘁 𝗔𝗜 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝗶𝘁𝘆. 𝗙𝗲𝘄 𝗔𝗿𝗲 𝗠𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝗜𝘁.

AI productivity is a hot topic. Teams use ChatGPT and Claude. They assume more AI means more productivity. This is a mistake.

Most companies measure adoption. They track user counts. They track prompt counts. They track subscriptions.

These numbers show activity. They do not show value.

Ask these questions:

  • Did projects finish faster?
  • Did response times improve?
  • Did costs go down?
  • Did revenue go up?

These numbers prove value.

AI makes you feel productive. A report takes twenty minutes instead of two hours. This is a win.

But you also spend time on new tasks:

  • Learning tools.
  • Managing prompts.
  • Checking for errors.
  • Switching apps.

Measure both sides. If you ignore costs, you miss the truth.

Using AI is not a competitive edge. Everyone has the tools. The win comes from measuring outcomes.

Start here:

  • Pick one process.
  • Set one clear goal.
  • Track one metric.

Compare the before and after. You need evidence.

Stop trying to use more AI. Start creating more value.

The first wave focused on what AI does. The next wave focuses on what AI is worth.

The winners measure results. Productivity means better outcomes with less time and lower costs.

Source: https://dev.to/sakhawatalivortenza/everyone-is-talking-about-ai-productivity-few-are-measuring-it-48ad Optional learning community: https://t.me/GyaanSetuAi