#GDCFNews | Thursday, August 13, 2026
Selling AI is getting easier. Understanding the deal economics is not.
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📌 What Changed
• Globant puts real revenue behind its AI model.
• Tata Consultancy Services + Vodafone Business expand a decades-long relationship
• AI consumption pricing puts new risk into enterprise deals.
• Hitachi Digital Services + adesso SE deepen their partnership.
📊 Globant | Hours vs. Outcomes
Globant reported $614.4M in Q2 revenue as its traditional business remains under pressure.
But Glob.AI ARR reached $52.8M—up 61% QoQ—with management targeting $110M+ in 2026.
That creates one of the most interesting experiments this earnings cycle:
Legacy services growth is soft while the AI-native model accelerates.
The question now isn’t whether clients want AI.
It’s whether Globant can scale a different commercial model fast enough to offset AI deflation.
🤝 TCS + Vodafone | Network Depth Still Wins
Tata Consultancy Services + Vodafone Business announced a strategic UK enterprise partnership spanning AI, cloud, cybersecurity, networks, data and IoT.
It builds on a relationship stretching back decades.
New technology doesn’t erase old relationships. It gives great rainmakers something new to sell through them.
💰 The AI Pricing Problem
Forrester has been tracking another issue every AI rainmaker needs to understand:
As AI moves toward consumption-based pricing, variable cost risk increasingly becomes part of the deal.
Tokens. Infrastructure. Agent usage. Productivity commitments. Outcomes.
Someone has to determine:
What gets priced?
What gets guaranteed?
Who owns the overrun?
Who carries the risk if the outcome doesn’t arrive?
No longer just a technology conversation.
This is deal architecture.
🧠 Beyond the Headlines…
Hitachi Digital Services + adesso SE are combining AI, cloud, digital engineering and IT/OT capabilities across manufacturing and other asset-intensive industries.
Another signal that Physical AI is expanding the seller’s required vocabulary beyond enterprise software.
📈 The Recruiting Signal
Tuesday: 3,000 AI agents walked into a room. A rainmaker still had to close the deal.
Today adds another requirement.
The next generation of GDCF rainmakers must understand more than relationships and technology.
They need to understand deal economics:
Pricing. Consumption. Margin. Productivity. Governance. Risk.
That is getting much harder to recruit for.
🎯 The Recruiting Guy Take
The best AI seller won’t be the person who knows the most about AI.
It will be the rainmaker who can earn the client’s trust, architect the deal and explain —who owns the risk.
That’s the seller I am looking for.
❓ Question of the Day
Does your best AI rainmaker understand the deal economics—or just the technology buzzwords?
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Chris Wellington | The Recruiting Guy
Business Consulting + Digital Engineering | Talent Market Intelligence | Rainmaker Hiring
Sources
🔹 Globant | Q2 + Glob.AI
https://investors.globant.com/2026-08-13-Globant-Reports-2026-Second-Quarter-Financial-Results
🔹 TCS + Vodafone | UK Partnership
https://www.tcs.com/who-we-are/newsroom
🔹 Vodafone | TCS Partnership
https://www.vodafone.com/news
🔹 Forrester | AI Pricing + Consumption Risk
https://www.forrester.com/blogs/tech-leaders-brace-yourselves-ai-costs-will-only-go-up/
🔹 Hitachi + adesso | AI + Digital Engineering
https://hitachids.com/news/
🔹 adesso | Partnership News
https://www.adesso-group.de/en/news