Key points of Goldman Sachs 2026 Communications and Technology Conference: AI is expected to continue to be high from experiments to implementation, and capital expenditure is expected to continue to be high

The Zhitong Finance App learned that Goldman Sachs hosted the Annual Communacopia+ Technology Conference (Communacopia+ Technology Conference) in San Francisco from September 8 to 11, 2026. A total of 42 listed companies and private companies participated in the fireside talks and investor meetings. Goldman Sachs analyst Eric Sheridan's team pointed out that during the conference, there were two major thematic developments in the industry: one was the intensive release of consumer-grade AI agents, including private company product Instinct and Muse AI released by Meta (META.US); the other was extensive discussions around the speed of AI model development, employees' risk concerns about increasingly powerful models, and regulatory frameworks.

Goldman Sachs pointed out that it is difficult to determine the extent to which the slowdown in model development will actually be implemented, and what this means for capital deployment. The main points of the conference suggest that the imbalance between AI supply and demand is still widening. The current pace of capital expenditure and computing power are online to reduce this imbalance. Goldman Sachs initially determined that the capital expenditure cycle for the next 12 to 18 months (until the end of 2027) will remain at a high level, consistent with the bank's predictions and higher than market consensus. Furthermore, any new industry framework around AI infrastructure construction and model release may reshape the competitive pattern between open source, open weight, and cutting-edge basic models; in the context of the continuous expansion of the token economy, AI development may be increasingly driven by geopolitical (including regulatory scrutiny) factors.

Three key debates

Goldman Sachs presented three key debates before the conference, which were the dominant themes during the conference:

1. The rate at which AI ecosystem spending is changing, and investor discussions continue to shift to a verification point for return on capital;

2. The overall health of digital consumers, and the health of the potential generating advertising market;

3. In the next 12 to 18 months, how can the company balance priorities such as revenue momentum, strategic growth investments, and increased operating profit margins.

Ten key points of the conference

Goldman Sachs also distilled 10 key points from this conference:

1. AI is accelerating from experimentation to implementation, and enterprises are beginning to deliver measurable business results, covering customer service automation, advertising optimization, search and discovery, market matching, contract fulfillment operations, and internal productivity plans.

2. Although traffic from AI-driven shopping assistants and LLM-driven discovery is still relatively small, management teams generally view these portals as complementary discovery channels and new consumer touchpoints.

3. Continued attention to AI spending will support cloud revenue trends for hyperscale cloud vendors over the next 12 months; companies are increasingly evaluating broader operating partnerships in terms of production capacity and chips.

4. The management team unanimously emphasized the dual focus: driving profit margin expansion while continuing to invest in AI, product innovation, customer acquisition, and ecosystem expansion.

5. Despite mixed macro signals, digital consumers are resilient; consumers continue to prioritize value, convenience, services, and necessities purchases, and discretionary spending remains selective, but there is little evidence of a widespread slowdown.

6. In terms of consumer spending, particularly the gig economy and businesses in the travel sector, continued to emphasize the continuing trend towards services (rather than goods).

7. Digital advertising trends remain healthy, and AI is increasingly improving targeting, measurement and advertising efficiency; advertisers continue to prioritize performance-oriented budget and ROI-driven customer acquisition.

8. Businesses continue to prioritize market share growth, which is increasingly driven by execution, product innovation, customer acquisition, and ecosystem expansion.

9. Recurring revenue streams, loyalty programs, subscriptions, and ecosystem based products continue to perform well, and businesses focus on increasing customer lifetime value, retention, and wallet shares.

10. Companies are investing operating expenses and capital expenses in favor of growing portfolios, particularly by reinvesting operating efficiency gains while maintaining the ability to return excess capital to shareholders, especially when management finds current valuations attractive.

The focus of the investor debate after the meeting

After a week of exchanges with investors, Goldman Sachs believes that the debate is still mainly focused on the following aspects:

1. Capital allocation decisions around AI include not only deploying AI internally to improve productivity and operating leverage, but also external investment to lay out brands and platforms for the evolution of consumer discovery methods through third-party chatbots, AI assistants, and intelligent commerce platforms;

2. Whether any changes in consumer behavior and consumer transformation processes (covering e-commerce, tourism, etc.) will significantly change traditional discovery channels, as well as existing consumer transformation processes in commerce, tourism and other digital verticals;

3. The extent to which the company's own execution, market share growth, and AI-driven productivity improvements can continue to offset the impact of the macro background;

4. How will the positioning of hyperscale cloud vendors in relation to a wider range of AI topics and changes in the computing power pattern support the next stage of AI applications.