FROM OUR PARTNER
7 predictions on AI, LLM, and Observability
Read the
7 key takeaways
from Google’s Director of AI and Datadog’s VP of Engineering as they break down their predictions of the future:
- Smarter AI and LLM strategies for your org
- Building customer trust in AI outputs
- Scaling your tooling as LLM expertise grows
Navigate the complexities of AI adoption and avoid costly missteps with this expert guidance.
Future proof your AI strategy
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🤖 Amazon launches an AI agent-building platform
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- Amazon Web Services launched Amazon Bedrock AgentCore, a new platform for businesses to build connected AI agents that can analyze internal data and write code.
- The service lets agents run for up to eight hours and supports MCP and A2A protocols, allowing them to communicate with agents outside a company's network.
- It was introduced as a tool to help organizations adopt agentic AI, freeing up employees from repetitive work to focus on more creative and strategic tasks.
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📞 Google's AI can now make phone calls for you
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- Google Search can now call local businesses on your behalf to check prices, availability, and even make appointments or book reservations for you.
- The free AI calling feature is available in 45 US states, but subscribers to Google AI Pro and AI Ultra plans will get higher usage limits.
- For quality control, the automated calls will be monitored and recorded by Google, and local businesses are given an option to opt out of receiving them.
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🤝 OpenAI taps Google Cloud to power ChatGPT
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- OpenAI now uses Google Cloud for cloud infrastructure, adding a new supplier to get the computing capacity needed for its popular large language models.
- The deal shows OpenAI's evolving relationship with Microsoft, which is no longer its exclusive cloud provider and is now considered a direct AI competitor.
- Google joins other OpenAI partners like Oracle and CoreWeave, as the company actively seeks more graphics processing units to power its demanding AI workloads.
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⚠️ Top AI firms have 'unacceptable' risk management, studies say
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- A new study by SaferAI found that no top AI company, including Anthropic and OpenAI, scored better than "weak" on their risk management maturity.
- Google DeepMind received a low score partly because it released its Gemini 2.5 model without sharing any corresponding safety information about the new product.
- A separate assessment found every major AI lab scored a D or below on "existential safety," lacking clear plans to control potential future superintelligent machines.
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🛒 OpenAI will take a cut of ChatGPT shopping sales
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- OpenAI reportedly plans to take a commission from sellers for sales made through ChatGPT, creating a new way to earn money from shopping features.
- The company is looking to integrate a checkout system directly into its platform, letting people complete transactions without navigating to an online retailer.
- Getting a slice of these eCommerce sales allows the AI startup to make money from its free users, not just from its premium subscriptions.
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📉 Scale AI cuts 14 percent of staff after Meta deal
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- Scale AI is laying off 14 percent of its workforce, or 200 employees and 500 contractors, just one month after Meta purchased a major stake.
- CEO Jason Droege explained they ramped up GenAI capacity too quickly, which created inefficiencies, excessive bureaucracy, redundancies, and confusion about the team's mission.
- The data labeling company is now restructuring its generative AI business from sixteen pods to five and reorganizing the go-to-market team into a single unit.
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