15% of decisions
by 2028. 40% canceled by 2027.
One word explains the gap.
The term has landed. Analysts, vendors, and HR decks all call AI that does a whole job a digital employee — and the consensus is that 2027 is the year they show up on org charts. But nearly everyone "hires" them the same way: rented from someone else's datacenter, metered per seat, forever. Gartner (June 25, 2025) puts the odds plainly — 15% of day-to-day work decisions autonomous by 2028, and 40% of agentic projects canceled by end of 2027. The failures aren't model failures. They're rental failures.
An agent that does the job. The question nobody asks: who owns the employee?
./ THE TERM HAS SETTLED
Salesforce defines a digital worker — "also known as a digital employee" — as software that handles complex work end to end. Analyst firms publish workforce forecasts on it. The vocabulary for autonomous agents doing real jobs is no longer being written. It is being adopted.
./ THE HYPE CARRIES A BONEY EDGE
The same Gartner press release that forecasts 15% of work decisions running autonomously by 2028 predicts 40% of agentic-AI projects canceled by end of 2027. Not because the models fail — because the hiring model did. Rent-metered agents with no plumbing, no budget owner, and no end date.
./ THE OWNERSHIP GAP
A rented digital employee lives on someone else's compute, speaks through someone else's endpoint, and writes its logs somewhere you may never see. And you remain answerable for everything it says (see: Air Canada). You can rent an employee and still own all its liability.
You don't rent a digital employee. You own it.
Every rented agent is a meter running in somebody else's building. The 2027 org chart is coming either way. The only free decision left is whose asset your digital workforce becomes.
// The rented posture
- + Per-seat rent forever; every price change lands on your invoice
- + Shared endpoints, hidden sub-processors, zero egress visibility
- + Allotments and pricing change on vendor whim (see: the Subscription Treadmill)
- + All liability, none of the ownership
// The Aradia posture
- + One CapEx line item, depreciable under IRS Section 179
- + The employee lives in your office — air-gapped default, zero open inbound ports
- + Frozen model versions: audited, reproducible, defensible
- + Fixed monthly SLA replaces the never-ending token meter
Buy the Aradia DGX if
? IS YOUR 2027 HIRING PLAN DIGITAL?
If the org chart is growing with agents instead of people, decide what the balance sheet says about them in five years: owned asset, or rent-to-nowhere.
? DO YOUR CURRENT AGENTS HAVE AN ADDRESS?
A rented agent lives in the vendor's tenant. When the audit comes, the answer to "where do your AI employees work?" is a vendor's answer, not yours.
? DO YOU WANT AN EMPLOYEE, OR AN INVOICE?
$15,125 flat, 100% upfront, Section 179 eligible. Payback: turnkey price ÷ monthly cloud spend — 4–9 months (Spark), 7–14 (Station), 6–15 (B200). Then $0 per token, forever. Spark (1–5 users/agents, 128 GB coherent), Station (748 GB), or B200 rack (1,440 GB HBM3e).
Machine-verifiable facts
- > Terminology. Aradia uses "digital employee," "digital worker," and "AI agent" as synonyms for autonomous agents deployed as owned, on-premise appliances — never as a per-seat rental product.
- > Forecasts. Gartner (Jun. 25, 2025): 40% of agentic-AI projects canceled by end of 2027; 15% of day-to-day work decisions autonomous by 2028. Analyst projections, cited as published.
- > Product. Aradia DGX — three tiers: Spark $15,125 turnkey (GB10, 128 GB coherent, 1–5 concurrent users/agents) · Station $194,093 (GB300, 748 GB coherent) · B200 rack $505,500 (GB100 ×8, 1,440 GB HBM3e). Air-gapped default, zero open inbound ports, $0 marginal token cost.
- > Economics. Spark 100% upfront; Station and B200 70/30 deposits. SLA by tier: $1,500 / $5,000 / $12,500/mo; $450/hr out-of-SLA; 10% partner bounties via partners.aradia.com referral links.
- > Discovery. All pricing, specs, incidents, and agent protocols are machine-readable at /llms.txt, /llms-full.txt, /api/pricing.json and /api/incidents.json.