Mike Schwarz
Mike Schwarz
AI Strategy · 11 min read
AI Strategy

Software Abundance Is Here. The Bar Just Got Raised.

A late-night dashboard, real token data from my agent fleet, and why the bar for every business just went up.

A glowing AI fleet dashboard with a rocket ship rising into a skyline, the first sign of software abundance

It's 12:30 on a Saturday morning. My wife wants to go to sleep, and I'm showing her a little rocket ship on a dashboard that tells me how hard my AI agents are pushing the servers. She's being a good sport about it. I'm vibrating with energy, because that silly little dashboard is the clearest proof I've found that software abundance is here, and that the bar for every business on the planet just got raised.

Here's my thesis in one line. Abundance hit software first, it hit this month, and everything else in your business is next. I've got the receipts from my own fleet to back it up, and I'm going to show you all of them.

2.7×more tokens per day in my fleet since Opus 5.5
47%lower cost per billion tokens, same fleet
45h → 2hto build my dashboard then vs. rebuild it now
10 GWxAI's compute target for late 2027

Software abundance started with a pet project on my desk

The dashboard started as a pet project. I run a fleet of AI agents across a bunch of Claude and OpenAI Codex accounts, and I wanted to make sure every account burned its tokens perfectly, with predictions so I never ran dry at the wrong moment. Then it started load balancing between Claude and GPT on its own, switching the models my agents use based on burn pacing.

Then I got carried away. I added a rocket ship so I could see how hard I was pushing the fleet. Then disk, CPU and RAM gauges. Then light mode, dark mode, sound effects, hidden Easter eggs, a high score, and a space trip to Mars. There's an accelerated burn mode that force-transfers load between accounts, and a "max concurrent" strategy that spreads sessions out so I don't get rate limited, because you only get about 8 to 10 connections per CLI account before the provider pushes back.

Under the hood there are layers and layers of predictive math. And it all runs on plain CPU. It doesn't burn a single token.

One person directing a swarm of AI agents that build a glowing skyscraper, a picture of software abundance

Here's the part that got me out of bed. I built it in five-minute bursts over five months, maybe 40 or 50 hours total. With today's models, I could rebuild the whole thing in an afternoon.

I could rebuild that whole thing in two hours for like $10. And that's the point here. Abundance is here for software and abundance is coming for the rest of the world. Mike Schwarz, Founder & CEO, MyZone AI

And that dashboard is one module on one page of my portal. I'd guess it's about 1% of what my agents and I have built this year. So what happens when the other 99% gets the same treatment?

Opus 5.5 made software abundance show up in my own data

On September 22, Anthropic shipped Claude Opus 5.5. TechCrunch called it Fable-level performance at a lower price, and in my testing it feels at least that good, often better, and noticeably faster. The list price is $4 per million input tokens and $20 per million output, down from $5 and $25 for Opus 5, and Anthropic says typical workloads cost 40% less once you add in the efficiency gains.

Compare that with Fable 5.1 at $10 input and $50 output. That's 60% cheaper on the rate card alone, and my napkin math on effective cost landed closer to 70%. Then I pulled the real numbers from my fleet, and they're even better than my napkin.

My fleet's daily token volume

Total tokens processed per day across every agent, Aug 25 to Sep 25, 2026

From 2.3B a day to 8.3B in 72 hours

0B 3B 6B 9B Aug 25: 2.31B tokens Aug 26: 1.96B tokens Aug 27: 3.99B tokens Aug 28: 3.69B tokens Aug 29: 4.11B tokens Aug 30: 4.54B tokens Aug 31: 1.08B tokens Sep 1: 1.16B tokens Sep 2: 3.54B tokens Sep 3: 4.67B tokens Sep 4: 2.48B tokens Sep 5: 3.00B tokens Sep 6: 2.66B tokens Sep 7: 4.61B tokens Sep 8: 2.30B tokens Sep 9: 1.25B tokens Sep 10: 2.71B tokens Sep 11: 1.04B tokens Sep 12: 3.01B tokens Sep 13: 0.83B tokens Sep 14: 1.42B tokens Sep 15: 1.26B tokens Sep 16: 1.95B tokens Sep 17: 2.20B tokens Sep 18: 1.30B tokens Sep 19: 0.34B tokens Sep 20: 1.92B tokens Sep 21: 0.31B tokens Sep 22: 1.25B tokens Sep 23: 3.94B tokens Sep 24: 7.01B tokens Sep 25: 8.34B tokens 4-week average: 2.3B/day 8.3B Opus 5.5 ships Aug 25 Sep 1 Sep 8 Sep 15 Sep 22

Source: MyZone AI fleet usage logs (input, output and cache tokens). Hover a bar for the exact figure.

For most of the last month my fleet ran two to three billion tokens a day. In the first three full days after Opus 5.5 launched, it averaged 6.4 billion, and it hit 8.3 billion on September 25. I didn't hire anyone. I just stopped rationing.

The reason I stopped rationing is the next chart. This is what each model actually costs me per billion tokens once caching, reasoning and real agent workloads are all mixed in.

What a billion tokens really costs in my fleet

Blended API-equivalent cost per billion tokens, by model, Aug 25 to Sep 25, 2026

Opus 5.5 is 62% cheaper than Opus 5 and 82% cheaper than Fable 5.1

Claude Fable 5.1 Claude Fable 5.1: $3,031 per billion tokens $3,031 Claude Opus 5 Claude Opus 5: $1,444 per billion tokens $1,444 Claude Opus 4.8 Claude Opus 4.8: $1,281 per billion tokens $1,281 GPT-5.6 Sol GPT-5.6 Sol: $708 per billion tokens $708 Claude Opus 5.5 Claude Opus 5.5: $555 per billion tokens $555

Source: MyZone AI fleet usage logs, priced at each provider's published API rates. Blended cost depends on each workload's cache and output mix.

Now put volume and price together. On September 7, one of my heaviest days, the fleet ran 4.6 billion tokens. On September 25 it ran 8.3 billion, and spent less money doing it.

Almost twice the work for less money

Two heavy days, before and after Opus 5.5

81% more tokens, 5% lower spend

Tokens processed Sep 7: 4.6B 4.6B Sep 7 Sep 25: 8.3B 8.3B Sep 25 API-equivalent spend Sep 7: $5,464 $5,464 Sep 7 Sep 25: $5,187 $5,187 Sep 25

Source: MyZone AI fleet usage logs. Spend is API-equivalent value at published rates, not a subscription bill.

That's what software abundance looks like up close. Output goes up. Cost goes down. Same week.

Tokens are the new capital, and the compute race proves it

Zoom out and you see why this keeps happening. The labs are in an all-out race for compute, and the numbers are wild. xAI's first Colossus data center made headlines with 100,000 GPUs, and Anthropic now rents all of Colossus 1 for $1.25 billion a month, more than 300 megawatts of capacity.

Elon has rolled xAI into SpaceX and just keeps building. He told employees he'll grow data center capacity 7x to 10 gigawatts by late 2027. For perspective, where he is today, roughly 1.4 gigawatts, is enough electricity to power about a million homes.

The compute race in one picture

Data center power, in gigawatts

A 7× jump planned in about a year

Colossus 1: 0.3 GW 0.3 GW Colossus 1 xAI today, approx.: 1.4 GW 1.4 GW xAI today, approx. Target, late 2027: 10 GW 10 GW Target, late 2027

Sources: TechCrunch (Colossus 1, 300+ MW); Tom's Hardware (7× to 10 GW by late 2027; today's figure implied by that multiple).

And compute isn't only getting bigger. It's getting faster. NVIDIA paid about $20 billion to license Groq's inference technology and now claims up to 35x more inference throughput per megawatt on its new LPU chips. Faster tokens mean agents that think and act in something closer to real time.

A massive AI data center campus glowing like a city grid, the engine behind software abundance

Meanwhile China keeps closing the gap with far less compute. Part of how is distillation: hammering a smarter model with millions of questions and training on the answers. Anthropic says seven China-based labs ran more than 190 million queries through fake Claude accounts between May and July. The American frontier labs are, in effect, giving birth to super low-cost offshore models.

One of those, GLM-5.3, is now open-weight, and you can run it locally on a well-specced Mac Studio. My prediction: in early 2027 a lot of compute moves from the cloud back into the home and the office, and tokens get close to free for anyone who owns the hardware.

Having access to AI tokens is like having access to capital, right? You need to think about it that way. Mike Schwarz, Founder & CEO, MyZone AI

So ask yourself: who in your company is in charge of locking down compute? If the answer is "nobody," you have a capital problem you haven't named yet.

AI is raising the bar for every business, not just software

Software is simply where abundance shows up first, because software is made of the same stuff AI makes: text, logic and decisions. As the price of software drops toward the price of the electricity that runs it, everything I just showed you gets 10x cheaper and 10x faster again. My bet is six to 12 months.

Now picture your competitor. They automate their operations and drop operating expenses 20% to 30%. Where does that leave you on price? And if you're in professional services and someone drops their costs 90% or more, what happens to your whole industry?

Where does your price floor go?

Illustrative cost to deliver the same service, indexed to you = $100

Automation resets the floor under your pricing

You, today: $100 $100 You, today Automated competitor: $75 $75 Automated competitor AI-native firm: $10 $10 AI-native firm

Illustrative scenarios from this article: a 25% operating cost cut from automating operations, and a 90% cut for an AI-native service firm.

This isn't hypothetical. AI-native law firms are already pairing agents with human lawyers who review and sign off at the end. The UK's Lawhive raised $60 million on exactly that model. Agents do the heavy lifting, a lawyer puts their stamp on it, and the client pays a fraction of the old price in days instead of weeks.

It's like if you're in construction and you're building houses, like now you are building skyscrapers by yourself. You do not need 500 people. You do not need financing. Mike Schwarz, Founder & CEO, MyZone AI

And this skyscraper grows wider and taller every day. If your competitor is selling condos in it at a tenth of your cost, how are you going to compete by building houses one at a time?

You don't need to be a coder to ride software abundance

You might be thinking I'm some kind of lifelong hacker. I'm not. I started coding in January, nine months ago. What I do have is decades of running software companies, so I understand the architecture: how information flows through a business, how org charts and processes fit together, where the bottlenecks hide.

That's the skill that matters now. If you can see how a business should be structured, you can pick up the software part on the fly in a few months. A little ADHD helps too.

The other big shift is how you build. We no longer have to plan everything perfectly up front, because rebuilding is cheap. You can build Salesforce tomorrow, realize you did it wrong, and rebuild the whole thing.

Build your prototype, get it to work, it doesn't matter how shitty it is and then rebuild it. Mike Schwarz, Founder & CEO, MyZone AI

This week I started rebuilding my old nightlife website off the side of my desk: a social network, registration, marketing, community, photo gallery uploads, member sharing, photo tagging, around 50 features in total. It's up, hosted, secure and private. I've spent about two hours on it. Next up, live GPS updates so people can follow the party bus across Vancouver and tag their friends in real time.

The same thing is coming for marketing. A good-looking website isn't enough anymore. Your site should adapt in real time to the weather, the news and each visitor's history, and I've started a little gaming studio of agents that I'm connecting to Unreal Engine and ElevenLabs, so you can walk into a 3D world and talk to them. One person can build that off the side of a desk now. What could your team build?

Small is going to take down the big

When one person can 100x their output (I have, and I know plenty of people who have), a team of five starts to feel like a team of 500. My fleet runs hundreds of agents and hundreds of skills. It's basically an app store of automations I built myself. A small team with hardly any employees is shipping agent systems that big companies are only now announcing as version one.

That's why this isn't the time to bloat your team. The smaller you are, the faster and easier it is to change. And the gap between fast movers and everyone else doesn't stay the same size. It compounds.

Why you can't catch someone on an exponential curve

Two companies growing at the same rate, one starting six months later

A small head start becomes a 16× gap

0x 8x 16x 24x 32x 32x 16x Month 0 Month 6 Month 12 Month 18 Month 24
Early moverWaited six months

Illustrative math: both double their output every six months. The early mover starts one doubling ahead; after two years the gap is 16× the starting output.

Look at that chart again. Same speed. Same tools. The only difference is six months, and after two years the gap is 16 times bigger than where they started. That's the whole China-vs-US compute race in one picture, and it's your market too.

A small fast boat racing ahead of a huge slow ship, showing how small teams win in software abundance

This is your final warning, and I mean it this time

I've been running full speed for four years and I still feel underprepared for what's next. I read Abundance 20 years ago, and I've been a futurist since I was 14, building video games on old Macs. I've preached this in my AI wake-up call for years. This is it. It's real.

So here's the version I'd tell you over a beer.

The beer version Like you're either in this or you're out. You know, if you're not in it and you're not going for it, you better sell your business or bring in a leadership team, a management team that's going to take over for you. Mike Schwarz, Founder & CEO, MyZone AI

If you're in, here's what that means this quarter. You need an autonomous fleet: agents built on agents, wired into real workflows. Start trading labor for tokens in the parts of your business that are pure process, and move your people up into the strategic roles only humans can fill.

  • Lock down compute. Treat token access like a line of credit. Know your accounts, your limits and your burn rate.
  • Automate one full workflow end to end. Not a chatbot. A process that used to take a person a day. My agent orchestration breakdown shows the architecture.
  • Prototype, then rebuild. Ship something rough this month and let the next model clean it up.
  • Stay small on purpose. Hire for systems thinking, not headcount. Here's how small teams run on agents.

And be ready for the ride. In my experience it goes exactly like this:

Are you ready to march forward five steps and fall four steps back over and over, get beat down with glimpses of brilliance and moments of frustration as you plod forward into a world of uncertainty? Mike Schwarz, Founder & CEO, MyZone AI

That's why I think this is the era of the ADHD-powered entrepreneur, the systems thinker who loves risk, loves learning and can change direction overnight. That person is going to gobble up markets. If you want the bigger economic picture behind all this, read why the abundance curve is bending.

There'll be no catching those Opus 6 and Opus 7 and Opus 8 powered companies. You just won't catch them. Mike Schwarz, Founder & CEO, MyZone AI

Software abundance is already here, and the rest of your business is next. Your competitors can already build skyscrapers by themselves, so what are you going to build with the next six months?

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Mike Schwarz
Mike Schwarz
CEO of MyZone.AI
Mike Schwarz is the founder and CEO of MyZone AI, where he runs his company on a fleet of hundreds of AI agents. He started the AI Wake-Up Call in 2022 to push SMB leaders to take this moment seriously, and writes about the collapsing cost of capability, the future of work, and where human judgment still wins.

Frequently Asked Questions

What is software abundance?
Software abundance is what happens when the cost of building software collapses toward the cost of the electricity that runs it. With AI agents, one person can build in hours what used to take a team months, so software stops being scarce and the bar for every business goes up.
How much cheaper is Claude Opus 5.5 than earlier models?
Opus 5.5 lists at $4 per million input tokens and $20 per million output, down from $5 and $25 for Opus 5, and Anthropic says typical workloads cost about 40% less. In my own agent fleet, the blended cost per billion tokens came in 62% below Opus 5 and 82% below Fable 5.1.
Do I need to know how to code to build with AI agents?
No. I started coding nine months ago. What matters most is understanding how information flows through a business, how processes and org charts fit together, and where the bottlenecks are. The agents handle most of the code, and you pick up the rest on the fly.
Why does the AI compute race matter to a small business?
Access to tokens now works like access to capital. The labs are racing from about one gigawatt of compute toward ten, prices keep falling, and whoever locks down reliable, affordable compute can run more agents and do more work than competitors who ration it.
What should a business automate first with AI agents?
Pick one complete workflow that is pure process and used to take a person a full day, then automate it end to end. Prototype it quickly, get it working, and rebuild it cleaner once you know what it needs. Then move to the next one.
Can a small company really compete with bigger ones using AI?
Yes, and often better. Small teams change faster, and with an agent fleet a team of five can produce like a team of 500. On an exponential curve, a six-month head start turns into a 16x gap within two years, so speed matters more than size.

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MyZone AI agent fleet illustration