Jason Andersen

Methinks @Microsoft is making a smart move with Copilot here. Interested to see what we will hear at Build in June. computerworld.com/article/414657…

Check out my latest article: Are Personal Agent Platforms Finally Ready for Prime Time? Not Quite — But We Are Getting Closer linkedin.com/pulse/personal… via @LinkedIn

Success with agents...it's happening @awscloud aws.amazon.com/blogs/machine-…

Check out my latest article: OpenClaw Is a Glimpse of the Agentic Future But Not Without Risks linkedin.com/pulse/openclaw… via @LinkedIn

Check out my latest article: Did ServiceNow Just Reveal Its Post SaaSpocalyse Strategy? linkedin.com/pulse/did-serv… via @LinkedIn

Check out my latest article: The Fallout of SaaSpocolypse linkedin.com/pulse/fallout-… via @LinkedIn

I actually think that a good deal of this happens even if AI does not improve much beyond where it is now. The question is: at what velocity does these changes actually occur? Technologists often fail to understand that inertia in business and culture is far more sticky than technological progress. I mean, it's nice if an AI can handle legal paperwork faster and more accurately. But if it still takes years to get through litigation, will it really matter other than saving the lawyer some money? Also, you make a great point. If all the big companies lay off their employees, who's going to buy the products and pay the taxes? As I said, this is all in the realm of possibility. And, people need to be very well prepared for it (I am getting my family ready myself). But it will not happen at the pace suggested, especially when regulators get involved.

If you see everything in this blog as fact, let’s scenario run this: - giant short-term AI spend increase across everything at the consumption and creation layer - diseases are cured that we’ve been able to cure after 50 years of research. Cheap designer drugs, diets, exercise regimens that cure any ailment. - there will be massive job loss (I’ve always said the “sea of cubes” will get hit this round. Author says anybody in front of a screen.) - there will be massive consumer spending cuts outside housing, transportation and food. - any business outside those that serve the above will shrink quickly (consumer advertising, electronics, home goods, entertainment, travel, delayed medical and dental appointments) - there will be even more layoffs - there will be a credit crash as defaults increase on mortgages, credit cards and car loans - interest rates will skyrocket - spending will decrease even more - businesses won’t have as much to spend on AI as they conserve cash and lay off people - AI company revenues are impacted negatively because end user and business spend plummets (who pays for everything?) - stock market crashes like we’ve never seen before - civil unrest like we’ve never seen before Thoughts? I have doubt in many of the assumptions in the blog but it’s an interesting thought exercise.

What's going to be on my agenda for 2026? Check it out.....youtube.com/shorts/YHzp3ek…

Awesome chat with @stripe about the present and future of agentic commerce.

Great piece from the @WSJ about @aws glad I was able to provide some insights. wsj.com/articles/amazo…

🚀 New research from VP and Principal Analyst @JasonTAndersen: @awscloud Bedrock #AgentCore is redefining how organizations build and scale next-gen AI agents. From managed runtime to memory, identity & observability—AgentCore accelerates dev time while boosting security + performance. Read the full paper. 👇 moorinsightsstrategy.com/research-paper…

Damn. Serious AI science being dropped by @awscloud at Swami’s keynote today. I also appreciate the thematic format of the presentation.

My latest @awscloud AgentCore research moorinsightsstrategy.com/research-paper…

AWS re:Invent Keynote today was a bit different this week. This year, the agenda was a bit more focused on a smaller set of big announcements vs. previous years, and I think it was a great idea. Here's my big takeaways. 1) AgentCore - Can you build agents faster and with more control using existing frameworks? Yep! In fact, Signal65 and Moor Insights & Strategy just released new research showing that AgentCore can deliver agents 2.1X faster by augmenting existing frameworks (see links to the research in the comments). But it's not just about speed; the new Policy and Evaluation features will lead to better and safer agent results. I also appreciate the building block modularity of the solution. 2) Nova Forge - AWS just dropped the barriers for building custom models in a very meaningful way. By leveraging Nova models and tools from Bedrock and Sagemaker, companies can now securely train models based on their own data, vs. fine-tuning or content reinforcement. It's pretty amazing, especially if you are already on board with the Amazon AI model tool chain. If you're not there yet, this may be enough to commit to an AWS-derived and managed model. 3) How can I forget Kiro and Frontier Agents? - I am going to stick my neck out here and say that for the past year, I have not seen anything that has approached what GitHub has been doing with autonomous coding agents, until now. The combination of Frontier Agents, Kiro and spec based development there is finally a complete, alternative solution that should prompt serious consideration.

@awscloud re:Invent Keynote today was a bit different this week. This year, the agenda was a bit more focused on a smaller set of big announcements vs. previous years, and I think it was a great idea. Here's my big takeaways. 1) AgentCore - Can you build agents faster and with more control using existing frameworks? Yep! In fact, @Signal_65 and @MoorInsStrat just released new research showing that AgentCore can deliver agents 2.1X faster by augmenting existing frameworks (see links to the research in the comments). But it's not just about speed; the new Policy and Evaluation features will lead to better and safer agent results. I also appreciate the building block modularity of the solution. 2) Nova Forge - AWS just dropped the barriers for building custom models in a very meaningful way. By leveraging Nova models and tools from Bedrock and Sagemaker, companies can now securely train models based on their own data, vs. fine-tuning or content reinforcement. It's pretty amazing, especially if you are already on board with the Amazon AI model tool chain. If you're not there yet, this may be enough to commit to an AWS-derived and managed model. 3) How can I forget Kiro and Frontier Agents? - I am going to stick my neck out here and say that for the past year, I have not seen anything that has approached what GitHub has been doing with autonomous coding agents, until now. The combination of Frontier Agents, Kiro and spec based development there is finally a complete, alternative solution that should prompt serious consideration.

ok that @awscloud video for the Frontier Agents was kick ass!

Next week, @TheSixFiveMedia crew is headed to @awscloud AWS re:Invent 2025‼️ We have a super analyst lineup — Patrick Moorhead (@PatrickMoorhead), Daniel Newman (@danielnewmanUV), Nick Patience (@nickpatience), Jason Andersen (@JasonTAndersen), Fernando Montenegro and Alex Smith 👥 Follow along for their expert analysis, exclusive leadership interviews, and independent insights from @amazon Web Services (AWS), @qlik, @elastic, and other partners driving the future of cloud + AI! Stay tuned ➡️ lnkd.in/gA9B556X

Pricing is a hot topic as the currency of tokens and requests becomes more prevalent. I offered up some ideas on how IT departments can navigate renewals for 2026 and beyond with @EvanSchuman. Here's the piece cio.com/article/409701…