The road to AI Exponential will be bumpy
Companies that are AI native are likely to deliver better returns, run autonomously and thread the needle between human and digital labor. The catch? Getting to that AI native status isn't going to be easy.
Sluggish economic growth, lagging capital spending, and cautious hiring challenge CFOs managing the organization's financial path. Leaders now demand greater insights from data driven decisions. Analytics and big data are as important as treasury concerns and counter-party risk mitigation. Further, a greater number of CFOs now own the IT function and have CIOs reporting to them. This growing and evolving role of the CFO results in a need to understand the impact of disruptive technologies on business models and financial security. Constellation's analysts and research helps CIOs understand the challenges faced by the IT and line of business divide as well as take a pragmatic approach to technology adoption.
Companies that are AI native are likely to deliver better returns, run autonomously and thread the needle between human and digital labor. The catch? Getting to that AI native status isn't going to be easy.
Legacy Companies are Thinking in the Wrong Scale
Whatever gains expected from digital transformation will be blown to shreds by AI Exponentials at a logarithmic scale not seen since the advent of the internet. While at first this may sound like more AI hyperbole, the early indications for organizations who begin their journey as AI Natives by design show a tremendous advantage versus the AI Enabled who have to reduce their legacy technology, cultural, and financial debt.
Enterprise technology companies are leveraging artificial intelligence and technology to drive efficiencies designed to offset everything from tariffs and inflation to growth investments.
DisrupTV episode 403 takeaways: AI is going to rewrite how businesses operate and enterprises are going to avoid chasing existing markets to create new categories, drop the obsession with transformation and add-on approaches, treat AI as a co-founder and cut the latency from idea to prototype to near zero.
The view from the C-suite is increasingly gloomy as executives navigate policy, inflation and the economy that's a reality show with two-week story arcs. It's hard to plan when your conditions change every other day. Yet, technology companies--including a few that barely have revenue--live in a world full of unicorns and rainbows.
Chief financial officers are paring expectations for the economy, revenue, earnings and capital investments for the second quarter as they become more risk averse, according to Deloitte's latest CFO Signals report.
The money being thrown around AI talent and infrastructure is staggering, but the return on investment may be sketchy for longer time frames. What happens if AI demand doesn't deliver triple-digit growth forever?