Final week, I talked about how the U.S. won’t be prepared for the following section of synthetic intelligence.
At present, I’m going to flip the script.
As a result of loads of critics nonetheless consider that the AI increase is overhyped.
Their argument is that AI has proven loads of enchancment over the previous few years as a result of researchers picked “low-hanging fruit.” However they insist that, from right here, progress will turn out to be slower, tougher and far more costly.
In different phrases, they consider AI’s largest breakthroughs might already be behind us.
However our chart of the week means that the alternative is true.
Stanford’s AI Index
Yearly since 2017, Stanford College’s Institute for Human-Centered Synthetic Intelligence has revealed its AI Index Report, probably the most revered annual evaluations of the business.
This report tracks every part from technical benchmarks and adoption charges to funding tendencies and world competitors.
And this yr’s conclusion was as easy because it will get: “AI functionality shouldn’t be plateauing. It’s accelerating and reaching extra individuals than ever.”
The primary chart within the report helps clarify why.
Supply: Stanford AI Index Report 2026
It tracks the efficiency of frontier AI techniques throughout a spread of inauspicious benchmarks over time. And as you’ll be able to see, as an alternative of flattening out, lots of the curves are nonetheless rising sharply increased into human-level efficiency.
One instance from the report actually stands out to me.
In only one yr, AI techniques went from fixing roughly 60% of software program engineering issues to almost 100%. This large leap reveals how AI is quickly evolving from a “typically helpful” device into one thing that’s “constantly dependable.”
However AI’s acceleration isn’t restricted to coding.
Stanford’s report reveals progress taking place throughout a number of classes directly.
Humanity’s Final Examination, a benchmark designed to check expert-level reasoning throughout troublesome educational topics, reportedly improved from 8.8% to greater than 38% in a few yr. Some frontier techniques are already scoring above 50% on this check.
Cybersecurity agent accuracy reportedly climbed from 15% to 93%.
And a few fashions now outperform human baselines on superior science and reasoning duties.
On the similar time, the infrastructure supporting all of those advances is scaling at a unprecedented velocity.
Stanford cites estimates exhibiting world AI compute capability has been rising greater than 3X yearly since 2022. General AI compute is estimated to have elevated roughly 30-fold since 2021.
That helps clarify why world AI funding reportedly reached practically $582 billion in 2025 alone.
And whereas the know-how improves, adoption continues spreading at a historic velocity.
In line with Stanford, generative AI is spreading sooner than the private pc or the web did of their early years.
The report additionally discovered that organizational AI adoption climbed to 88% in 2025, whereas 4 out of 5 college college students now use generative AI.
In different phrases, AI know-how is quickly bettering on the similar time it’s turning into deeply embedded in our on a regular basis lives.
We’ve seen this type of inflection level earlier than. It’s the identical factor that occurred to each the web and smartphones after they began quickly going mainstream.
I consider we’re at that very same level right this moment with AI.
Right here’s My Take
Stanford’s report isn’t promotional materials from an AI firm that’s making an attempt to boost cash.
It’s simply the information.
It even brazenly discusses AI’s weaknesses. For instance, some superior techniques can now carry out at gold-medal ranges on elite arithmetic benchmarks, but they will additionally nonetheless wrestle with surprisingly fundamental duties like reliably studying analog clocks.
This uneven progress is what’s known as the “jagged frontier” of AI.
However even with its jagged edges, you’ll be able to see the place that is heading.
With AI adoption spreading globally, and tons of of billions of {dollars} flowing into the information facilities, energy techniques and compute networks wanted to assist it…
AI is turning into infrastructure.
Ignore this pattern at your individual peril.
Regards,
Ian King
Chief Strategist, Banyan Hill Publishing
Editor’s Notice: We’d love to listen to from you!
If you wish to share your ideas or strategies in regards to the Each day Disruptor, or if there are any particular matters you’d like us to cowl, simply ship an e-mail to [email protected].
Don’t fear, we received’t reveal your full title within the occasion we publish a response. So be happy to remark away!
