Billionaires Invest with Strategy First – Most People Skip That Step

01 /The Concept

Autonomous built a personal investment management app under the tagline "Invest like a billionaire. Become autonomous."

The pitch is a rebuke to the traditional advisory model: access the portfolio strategies that used to be reserved for ultra-high-net-worth individuals, and stop paying the 1–2% of assets under management that financial advisors collect annually to do things you could be doing better.

Beyond proactive recommendations, the app answers direct questions about what to do with your money right now. For example: "Should I use my extra cash to pay down my mortgage early, or put it into my retirement account?" The AI might recommend the retirement account, based on historical data showing it typically generates better long-term returns than early mortgage payoff.

Or take a question like: "The market just dropped 20%. Should I change my investment strategy?" Autonomous can run 10,000 scenario simulations, then respond that historically, drawdowns of this magnitude recover within 8–9 months – so the long-term strategy holds, but the AI will now be flagging the stocks that fell hardest and have the strongest mean-reversion potential for selective buying.

The startup claims the app should deliver 2.3x better returns than standard robo-advisors over a 40-year horizon – from when a user starts investing to retirement.

Autonomous graduated from Y Combinator at the end of last year and announced its launch on the YC platform a few days ago.

02 /Why It Matters

There's no shortage of AI financial advisors right now. But Autonomous stands out for a specific reason: the founders built this for themselves. In 2015 they went through Y Combinator with their previous company, Paperspace, which they sold in 2023 for $111 million. Then they ran into the problem: what do you actually do with that money, and how do you manage it going forward?

They tried doing it themselves. It turned out to be a major hassle – first, they had to manually aggregate data from every account and investment they'd made into a single spreadsheet. Then they had to build their own projections by hand, which were frequently wrong and cost them real money.

The lesson: if you're not managing your finances as a full-time job, you're always going to be behind. And if you hand that job to a financial advisor charging 1–2% of assets per year, running the compounding math shows you'll give up roughly half of what you could have earned over several decades.

Autonomous lets you connect all your assets in one place – bank accounts, crypto, rental properties, company equity, startup investments, everything. The app builds a unified view of your assets, liabilities, cash flows, and tax exposure across all of those sources.

Then the AI starts optimizing that full picture. Where can you earn more? Where can you reduce your tax burden? What should be rebalanced? The founders argue that this holistic view is what financial advisors theoretically promise – and almost never actually deliver.

On the equity side specifically, the app distinguishes itself from standard robo-advisors in a meaningful way. Wealthy investors don't think in individual stocks – they think in portfolios, assembled and rebalanced around specific strategies and risk tolerances.

So the Autonomous user first consults with the AI to choose a portfolio strategy and then approves it. Once confirmed, the AI manages that portfolio autonomously – buying, selling, and rebalancing according to the chosen strategy.

At any point, the user can ask how the strategy is performing or request a change if circumstances shift. Say a user believes AI infrastructure and energy companies will outperform over the next few years. They set a target, define a risk level, and ask the AI to build a portfolio around that thesis. The AI assembles it, the user asks questions, runs scenarios, and if everything looks right, tells the AI to execute and take over.

The founders believe the timing for this is now – AI capabilities have just crossed the threshold needed to do this well. And the prize is clear: financial advisors collectively collect $250 billion per year in management fees.

03 /Opportunities

The question of what to do with money you've already earned is perennial, enormous, and deeply personal. You worked hard for it – the last thing you want is to watch inflation, currency swings, or a bad portfolio call eat into it. Better yet: keep it and compound it.

AI is finally arriving in wealth management – because the technology is genuinely ready. But this race will be won by the platforms that maximize demonstrable performance. The platforms that get this right will be the ones that manage the full asset stack – salary, options, company equity, startup investments, real estate, stocks, bonds – under a coherent, strategy-driven framework. Reactive "buy this, sell that" is noise. Only a long-term strategy can reliably produce long-term goals.

The real differentiator between these platforms will be their approach to strategy selection. The execution – the mechanical actions of buying, selling, rebalancing – is something almost any competent AI can handle now. Strategy is where the alpha lives.

Some startups are already figuring this out.

Fifr ([covered here](/review/ty-doverish-ii-upravljat-svoimi-dengami)) raised $1.5M in its first round by cleanly separating strategy from execution. The user develops their investment strategy in conversation with a live Fifr expert – then the AI takes over execution automatically. The user pays a flat $99/month, which compares very favorably to percentage-of-assets advisor fees.

Public, the brokerage platform, launched an AI strategy service called Generated Assets ([related review](/review/kak-zarabotat-na-akcijah)) that assembles custom portfolios based on user-defined criteria – things like "B2B companies that earn less than 10% of revenue from consulting," "companies whose business models haven't been disrupted by AI yet," "companies with more than 50M social media followers," or "subscription businesses with the lowest churn rates."

The macro opportunity: AI is moving into a $250B/year market currently dominated by human advisors. The specific entry point: build an AI wealth management platform that gets the strategy-versus-execution split right. That design principle – establishing strategy before doing tactics – turns out to apply well beyond investing. Most AI ad platforms today generate ads without first establishing a brand strategy. Most AI content tools produce copy without a messaging framework. Wherever AI is doing the tactical work before the strategic frame is set, there's room to build something better.