The alternatives and the challenges are each huge. An government at one Fortune 500 firm says his group has carried out a complete overview of its use of analytics and concluded that its staff, total, add little or no worth. Rooting out the previous software program and changing that inefficient human labor with AI would possibly yield important outcomes. However, as this individual says, such an overhaul would require huge modifications to present processes and take years to hold out.
There are some early encouraging indicators. US productiveness progress, caught at 1% to 1.5% for greater than a decade and a half, rebounded to greater than 2% final yr. It in all probability hit the identical stage within the first 9 months of this yr, although the shortage of official information because of the latest US authorities shutdown makes this unimaginable to substantiate.
It’s unimaginable to inform, although, how sturdy this rebound might be or how a lot might be attributed to AI. The consequences of recent applied sciences are seldom felt in isolation. As a substitute, the advantages compound. AI is using earlier investments in cloud and cell computing. In the identical approach, the most recent AI growth could solely be the precursor to breakthroughs in fields which have a wider impression on the financial system, akin to robotics. ChatGPT might need caught the favored creativeness, however OpenAI’s chatbot is unlikely to have the ultimate phrase.
David Rotman replies:
That is my favourite dialogue today in terms of synthetic intelligence. How will AI have an effect on total financial productiveness? Neglect concerning the mesmerizing movies, the promise of companionship, and the prospect of brokers to do tedious on a regular basis duties—the underside line might be whether or not AI can develop the financial system, and which means rising productiveness.
However, as you say, it’s exhausting to pin down simply how AI is affecting such progress or the way it will accomplish that sooner or later. Erik Brynjolfsson predicts that, like different so-called common function applied sciences, AI will observe a J curve by which initially there’s a sluggish, even unfavorable, impact on productiveness as firms make investments closely within the expertise earlier than lastly reaping the rewards. After which the growth.
However there’s a counterexample undermining the just-be-patient argument. Productiveness progress from IT picked up within the mid-Nineties however for the reason that mid-2000s has been comparatively dismal. Regardless of smartphones and social media and apps like Slack and Uber, digital applied sciences have accomplished little to provide sturdy financial progress. A robust productiveness enhance by no means got here.
![11 social media tendencies each marketer ought to watch in 2026 [new data]](https://blog.aimactgrow.com/wp-content/uploads/2026/09/social20media20trends-1-120x86.png)
