The Early Scale: Instacart reports no-markup grocers grew 10 points faster

The lead

As consumer behaviors shift, businesses must adapt to stay competitive and efficient. Grocery chains on Instacart benefit from no-markup strategies, while digital health funding highlights the growing role of AI in healthcare. Meanwhile, the global energy market shows a notable investment in Chinese tech, emphasizing the integration of green infrastructure. Recognizing these trends can help businesses make better strategic decisions and stay ahead of the curve.

The Big Three

Instacart reports no-markup grocers grew 10 points faster

Instacart says grocers matching in-store prices on its platform grew 10 percentage points faster than grocers with online markups. This vendor-reported comparison is an association; it does not establish that removing markups caused the difference. Retailers should evaluate margin, order volume and repeat purchasing together before changing pricing.

The B2B angle: Businesses should evaluate their pricing strategies on digital marketplaces to strengthen competitiveness and enhance customer retention.

$75 billion spent on Chinese energy imports in 2026

According to Reuters, importers spent roughly $75 billion on Chinese batteries and grid equipment in the first seven months of 2026. This surpasses the $19.4 billion spent on solar equipment, highlighting a significant shift from purely renewable sources to integrated energy solutions. As the global energy transition continues, the focus is increasingly on sourcing and supply chain integration with China, a dominant player in the field.

The B2B angle: Energy firms should consider diversifying their suppliers and focusing on integration to mitigate potential risks and leverage global supply chains effectively.

Digital health sees $7.4 billion from VC in 2026's first half

Rock Health reports that venture capital injected $7.4 billion into digital health firms in the first half of 2026. The investment was strongly driven by AI innovations, with firms increasingly focusing on AI-driven solutions to improve healthcare services. This robust funding indicates a growing trust from investors in technology's potential to revolutionize healthcare delivery and patient outcomes.

The B2B angle: Healthcare providers and tech developers should prioritize AI-driven health solutions to attract investment and improve service delivery.

Also worth knowing

Microsoft has launched its all-in-one Copilot app, aiming to boost AI adoption rates by integrating with existing Anthropic and OpenAI solutions.

Akamai has signed an $11.6 billion deal with Anthropic for cloud solutions, underscoring the importance of strategic cloud partnerships in the tech industry.

Meta showcased its pervasive use of smart glasses at the Meta Connect event, indicating increased competition in the wearable tech market.

Smart plays for the week

Re-evaluate your e-commerce pricing strategy to ensure alignment with marketplace trends. Instacart reports faster growth among no-markup grocers. Test the economics locally; the comparison alone does not demonstrate a causal loyalty benefit.

Explore partnerships or investments in AI-driven health solutions. The $7.4 billion digital health funding boom points to the growing importance of AI in healthcare.

Consider your company's energy sourcing and supply chain strategies in light of the $75 billion investment in Chinese tech. With significant spending on Chinese energy tech, it's crucial for companies to diversify their supply chains and focus on integration.

Something to think about

Focus on the quality and usefulness of AI, beyond sheer size, to drive innovation and efficiency.

Teach me something: Semantic Layer

A semantic layer in technology acts as an intermediary between data storage and the end user. It defines terms consistently across an organization, helping different users understand data uniformly. Often used in AI, it's crucial for interpreting large datasets accurately and efficiently. By focusing on a semantic layer, businesses can ensure better data clarity and utilization, potentially leading to smarter AI solutions.