What Do Okta AI Data And Taylor Swift Have In Common? A Fearless Era

What Do Okta AI Data And Taylor Swift Have In Common? A Fearless Era (Photo by Matt Winkelmeyer/Getty Images for The Recording Academy)

Getty Images for The Recording Academy

Taylor Swift turned Fearless into an era and the number fifteen into an anthem and Okta data on enterprise AI just delivered its own version of both.

Okta, the identity company that manages employee sign-ons for more than 20,000 organizations, analyzed four years of anonymized login data, from June 2022 through June 2026, to answer a question boardrooms have been debating on anecdotes alone. Okta has been leading the way on how Enterprises value AI.

Which AI platforms are companies using, and how many of them?

The findings track more than 100 AI products consolidated into 74 suites, and they settle several long-running arguments at once. In the spirit of the album that inspired the framing, here are the Fearless 15, the answers executives have wanted but never had data to back up.

Taylor Swift: The Fearless 15

1. The permission debate is over. Companies are no longer asking whether AI belongs in the business, only which platforms and how many.

2. The single-vendor enterprise is disappearing. As of June 2026, the majority of organizations run more than one AI platform simultaneously.

3. The shift is accelerating. The share of companies using only one AI provider fell 1.2 percentage points in a single month.

4. Nobody has picked a favorite. Businesses have decided on AI's value, but not on a platform, which means vendor loyalty is still up for grabs.

5. This is a two-speed market. AI-native companies grew their corporate customer bases more than fourfold, while established incumbents grew more slowly from far larger bases.

6. Both speeds are winning. Startups are defining new capabilities while incumbents put the technology in front of customers they already have.

7. Anthropic posted the fastest enterprise account growth of any AI application tracked, earning the index's top score of 100, and by spring 2026 had edged past OpenAI in both enterprise accounts and monthly active users.

8. Scale still belongs to the giants. The top pure-play reached less than half the account volume of Microsoft 365, and less than one-tenth of its monthly active users.

9. AI has run its own eras tour. Four years produced three distinct paradigms, autocomplete beginning in June 2022, chat beginning in November 2022, and agents beginning in spring 2025.

10. Agents changed the verb. The agent era started when coding tools stopped suggesting and started doing, navigating codebases and completing multi-step work with minimal human oversight (and brought in a whole new set of skills!).

11. The newcomers won the era. In that era, the top three AI-native platforms added more new enterprise accounts than any incumbent.

12. Shadow IT is receding. Enterprise versions of consumer chatbots pulled personal-account usage into official, governed channels.

13. The real number is bigger. Even those multi-vendor numbers understate the sprawl, because the data excludes AI reaching companies through cloud providers and centralized IT gateways.

14. Loyalty may never arrive. Four years in, the market is still wide open, and forward-thinking businesses are treating flexibility itself as the strategy.

15. Security has not kept pace. Autonomous agents acting on a company's behalf need identities the way employees do, and most organizations cannot answer three basic questions. Where are my agents? What can they connect to? And what can they do?

That last finding may be the quiet headline of the entire report. Security models were built for humans with passwords, not for software that works around the clock across a growing stack of platforms. Every additional vendor multiplies the credentials, permissions, and exposure.

Multi-vendor AI environments have made a neutral identity layer a baseline business necessity rather than a nice-to-have. Jenna Cline, Okta’s SVP of Technology, Data and Intelligence, agrees. “The data exposes what IT teams have been experiencing on the ground for some time: that today’s enterprises require multi-vendor AI solutions in order to quickly innovate, scale and adapt – but in a way that doesn’t open the company to unwanted risk. This is the real value of a neutral identity layer for AI: a consistent approach to visibility and governance no matter which tools or agents you’re turning on across the enterprise."

Four Moves Every Leader Should Make With This Data

Data is only fearless if someone acts on it. Four moves follow directly from the findings.

1. Inventory the full AI estate. Count every platform employees touch, including AI arriving through cloud providers and IT gateways that sign-on data never sees. The organizations most exposed are the ones still convinced they run two tools when they actually run seven.

2. Buy for flexibility, not loyalty. The market has produced three paradigms in four years, and leadership has changed hands more than once. Contracts, architecture, and skills should assume multiple platforms and easy switching, because the next leapfrog is already in someone's roadmap.

3. Give every agent an identity before scaling it. Answer the three questions the data says most companies cannot. Where are my agents, what can they connect to, and what can they do? Treat that as a launch requirement, not a cleanup project.

4. Benchmark your pace against the market, deliberately. The majority of enterprises now run multi-vendor AI stacks and are moving into agents. Falling behind that curve is a choice, and so is sprinting ahead of your governance. Know which one you are making.

Other Research Backs the Okta Data For the Taylor Swift Fearless Era

The fair question to ask of any single dataset is whether a different one would tell a different story. Here, mostly, it does not. Ramp's AI Index, built on real card spend across more than 50,000 U.S. businesses, recorded Anthropic edging past OpenAI in business adoption this spring, the same crossover Okta observes in sign-ons. Andreessen Horowitz's enterprise survey, alongside Yipit panel data, found companies spreading spend across OpenAI, Anthropic, and Google while Microsoft continues to dominate enterprise applications, echoing Okta's two-speed, multi-vendor picture almost exactly.

Where the rulers differ, the results differ. In Yipit's panel, OpenAI still reaches more companies overall, and a16z found roughly two-thirds of enterprises prefer incumbent solutions when one is available. Sign-ons, spend, and surveys each measure a different slice of the same market, which may be the most honest finding of all. No vendor leads on every measure, and any leader making a single-source decision is seeing only part of the field.

Read together, though, the independent datasets agree on the big picture. Adoption is broadening, agents have arrived, and governance is running behind both.

Swift famously re-recorded her early catalog so she could own her own work. The lesson translates cleanly to the agent era. The companies that thrive in it will be the ones that own and govern their identity layer, rather than discovering, years from now, that someone or something else holds the masters. Then they can have the Taylor Swift Fearless Era.