Marina Lyubimova
⬤ AWS chief executive Matt Garman told the re:Invent audience that roughly nine out of ten executives present already see measurable profit from artificial intelligence projects or believe they will within half a year. The figure is striking because doubt about AI's practical worth has dominated board room talk - firms now leave the “wait and watch” period and deploy models that improve financial statements.
⬤ Only twenty four months earlier enterprise AI amounted to little beyond slogans and bewilderment. Leaders struggled to convert vendor promises into cash. Garman says that phase has closed. AWS, he claims, has turned into “by far the strongest agentic platform to build on,” a statement that signals customers treat it as the default destination for software that performs useful labour. The cloud provider's outlay on specialised chips, managed services plus security is yielding returns because corporations demand a dependable foundation before they commit budgets.
The period of misunderstanding is over, Garman remarked underscoring how rapidly opinion has swung toward viewing AI spending as rational.
⬤ The source of new found confidence is straightforward - organisations record genuine gains through lower expenses, sharper decisions and the removal of repetitive manual tasks. The prospect of pay back in only six months underlines that AI is shifting from trial to necessity. AWS supplies tools that expand without re engineering - the firm sits at the heart of the transition and reinforces its dual status as a cloud but also machine-learning leader.
⬤ The change carries weight well beyond AWS - it demonstrates that AI is exiting pilot labs and entering mainstream production across sectors. Because the route to profit is now visible, cloud platforms stand to absorb rising demand as more enterprises join. The obligation to deliver steady outcomes tightens - future business appetite and technology budgets will hinge on how reliably those services perform.
Marina Lyubimova
