AI's Affordability Crisis Opens a Consulting Opportunity: Help Companies Audit Their AI Spend Before the Subsidy Era Ends

AI's Affordability Crisis Is a Consulting Opportunity

The subsidies are not going to last.

OpenAI lost $38.53 billion in 2025 on $13.07 billion in revenue. Their costs and expenses reached $34 billion. Sales and marketing alone ran $5.73 billion — 44% of revenue.

Anthropic users on a $200 monthly plan can currently burn $8,000 in tokens. That is a 40x subsidy. OpenAI users on the same plan can burn $14,000 in tokens. That is a 70x subsidy.

The math does not close. Every AI company knows it.

When prices normalize — whether this year or next — every team that built their workflows on subsidized pricing will face a shock. One CEO already described it when OpenAI began shifting toward token-based billing: "Our spend went up 7x the first day... companies have been subsidising all of our usage."

That is your consulting opportunity.

The window

Right now, most engineering and product teams have no idea what their AI workflows would cost at unsubsidized rates.

They have a monthly bill that feels manageable. They have not modeled what happens if that number goes up 5x or 10x. They have not audited which workflows are most exposed.

The teams that get surprised are the teams that never did the math.

You can do it for them.

The service

A 3-day AI Cost Audit is a clean, bounded, high-value engagement.

Day 1: Catalog every AI workflow, API call, and agent pattern the team runs. Use their usage dashboards — OpenAI Usage, Anthropic Console, or an observability layer like Helicone or LangSmith — to map token volume per workflow.

Day 2: Tier each workflow by cost exposure. High-token pipelines are Tier 1 risk. Lightweight classification or short-generation tasks are Tier 3. The Tier 1 list is where the money is.

Day 3: For each Tier 1 workflow, present three options: switch to a cheaper open-weight model (DeepSeek, Mistral), reduce context window size through better prompt engineering, or move to a cached or batched calling pattern.

Deliver a "Spend Normalization Report" showing projected monthly costs at 2x, 5x, and 10x current pricing.

Most teams have never seen that number. Seeing it is what unlocks the budget for optimization work.

The upsell

The audit is the wedge.

The retainer is the business.

After the audit, offer a monthly engagement covering:

• Model routing: automatically directing low-complexity tasks to cheaper models while keeping high-stakes outputs on premium ones
• Token monitoring dashboards: tracking spend against budget in real time
• Quarterly re-audits: as pricing changes, updating the risk tier for each workflow

The teams that pay for this retainer are the same teams whose CTOs are already asking the question privately. You are giving them a structured answer.

The pitch

The pitch is simple.

"OpenAI lost $38.53 billion last year on $13.07 billion in revenue. The subsidies that make your current pricing work are not permanent. One CEO reported a 7x increase in their first day on token-based billing. Do you know what your AI workflows cost at unsubsidized rates? We can find out in three days."

That is a question most engineering leads cannot answer right now.

That is the opening.

Bottom line

AI companies are running a drug-dealer's algorithm — massively subsidizing services to create adoption before prices move to levels that support the underlying economics.

The addiction phase is nearly complete.

The pricing phase is beginning.

Teams that audit their AI spend now are the ones that will optimize before the shock arrives rather than scrambling afterward.

There is a clean, bounded consulting business in being the person who does that math for them — and then helps them fix what the math reveals.

Source: https://blog.dshr.org/2026/06/ais-affordability-crisis.html