AI Adoption Surges: 97% of Economists Expect Growth

Key Takeaways

• 97 percent of chief economists expect AI adoption to grow globally
• Gartner forecasts worldwide AI spending will reach $2.7 trillion in 2026, up 49.5 percent
• Only 12 percent of CEOs say AI has delivered both cost and revenue benefits
• UK announced over £6 billion in AI investment and about 8,000 jobs in June 2026
• President Tokayev says AI must drive industrial modernization; Timur Turlov appeared at AI & Digital Bridge 2026
• Cadence Design Systems launched RTL Generation Agent with reported 2x productivity gains
• Micks AI brings AI product photography to e-commerce brands with bulk generation
• AUTOCRYPT deployed public PKI for Plug and Charge tested on Tesla, BMW, Hyundai, Kia and Mercedes-Benz
• BofA flagged Asana, monday.com, Dropbox, HubSpot and Zoom as at risk from AI agents
• Dr. Mehmet Oz says AI will raise US healthcare costs before lowering them

AI ETF Investment Guide Highlights Growth and Risks

AI has become a major force in the global economy. The World Economic Forum found that 97 percent of chief economists expect AI adoption to grow. Gartner predicts worldwide AI spending will reach $2.7 trillion in 2026. However, only 12 percent of CEOs say AI has delivered both cost and revenue benefits. The guide urges investors to choose AI ETFs carefully.

AI ETF Investment Guide Explains Market Momentum

AI spending is rising fast across many industries. Gartner forecasts global AI spending at $2.7 trillion in 2026, a 49.5 percent increase. The UK announced more than £6 billion in AI investment and about 8,000 jobs in June 2026. Inference workloads are expected to surpass training spending. Still, many investors face uncertainty because returns from AI remain uneven.

AI ETF Investment Guide Shows Global Economic Shift

AI is now a key driver of global economic growth. The World Economic Forum survey found 69 percent of economists expect real productivity gains. AI infrastructure spending alone is forecast near $1.5 trillion. Governments are treating AI and chip capability as national assets. The guide notes that not all AI ETFs perform the same way.

Cadence Design Systems Debuts AI Chip Design Tool

Cadence Design Systems launched the RTL Generation Agent inside its ChipStack AI Super Agent. The tool aims to speed up digital chip design. Cadence shares closed at $350.73 after recent gains. The company is valued at a fair price estimate of $405.47, suggesting it may be undervalued. Its AI agents are reported to deliver productivity gains of 2x or more.

Blackbaud AI Fundraising Tools May Signal Undervaluation

Blackbaud introduced Lantern and the Platform for Good, an AI stack for fundraising intelligence. Its Agents for Good line includes the Development Agent, tied to donation flows. Blackbaud shares have risen 41.4 percent in 90 days but remain down over one year. The fair value estimate is $55 versus a recent close of $42.55. Slow adoption or budget pressure could slow growth.

Micks AI brings AI product photography to e-commerce brands

Micks AI is a platform that helps e-commerce brands create new product images and videos from existing photos. Users upload a product photo and describe the desired scene, such as a studio background or lifestyle setting. The tool generates multiple visual options for campaigns and promotions. It supports product photography, lifestyle imagery, model photography, product videos and bulk generation. The platform is designed for brands and small businesses with limited creative teams.

AUTOCRYPT sets up public PKI system for Plug and Charge in South Korea

AUTOCRYPT announced it has built a Public Key Infrastructure system for Plug and Charge services in South Korea. The system lets electric vehicles from multiple brands authenticate and charge at compatible chargers automatically. It was tested on vehicles from Hyundai Motor, Kia, KG Mobility, BMW, Mercedes-Benz and Tesla. The infrastructure is built on a public Vehicle-to-Grid Root Certificate Authority. AUTOCRYPT plans to expand the system to more vehicle makers and charging operators.

Malaysia's MACC expands AI use for corruption investigations

Malaysia's Anti-Corruption Commission is expanding its use of AI, data analytics and digital systems to strengthen investigations. The agency is using Intelligence-Based Investigation methods to detect corruption earlier without waiting for formal reports. The tools help identify anomalies, trace financial flows and detect hidden connections. MACC received 5,239 reports and opened 842 investigation papers between January and August 31. The commission identified government procurement, public funds, enforcement agencies and government revenue as four focus areas for 2026.

AI lawyer roles are booming but demand may not last

Demand for attorneys who advise on AI-related matters is currently strong. However, experts are unsure whether these roles will keep growing or become part of broader corporate legal work. The lack of a clear regulatory framework may slow the growth of AI law specialists. Jobs in this area vary widely in technical skill requirements. Experts say the long-term impact of AI on legal review practices is still uncertain.

BofA names software stocks at risk from AI agents

Bank of America identified software companies that could face disruption from AI agents. The bank says smaller customers are more likely to switch from dedicated software to AI tools that are cheaper and easier to use. Companies named include Asana, monday.com, BlackLine, Dropbox, HubSpot, Intuit, Paycom, Paylocity and Zoom. BofA says large enterprise vendors may be safer because their tools are deeply embedded in business workflows. The bank also named potential winners including CoreWeave, Nebius, Oracle, Datadog and Dynatrace.

Agent leaderboard reliability depends on evaluation design not task count

Researchers created a Bayesian framework to study how reliable agent leaderboards are. They tested 22 benchmarks from the Holistic Agent Leaderboard and Harbor Index. They found that rankings of fixed systems are reliable but rankings of underlying models are not. Adding more tasks helps only a little while pooling diverse benchmarks improves results significantly.

Tokayev says AI is key to modernizing industry

President Tokayev stated that artificial intelligence must drive industrial modernization. He reported that industrial output reached nearly 46 trillion tenge in the first eight months. Manufacturing grew by 8.4% compared to the same period last year. He spoke at the AI & Digital Bridge 2026 forum in Astana where Freedom Holding Corp. CEO Timur Turlov also appeared.

AI expected to raise US healthcare costs before lowering them

Dr. Mehmet Oz who leads the Centers for Medicare & Medicaid Services said AI will make healthcare more expensive initially. He explained that AI will turbocharge current billing systems and drive up costs in the short term. He shared these views at a recent summit held by Oracle. The comment addresses the ongoing debate over AI's impact on US healthcare spending.

Sources

• A Guide to AI ETF Investment
• A Guide to AI ETF Investment
• A Guide to AI ETF Investment
• Is Cadence Design Systems (CDNS) Fully Priced Following Its New AI RTL Generation Agent?
• Blackbaud (BLKB) Could Be 23% Undervalued On Its New AI Fundraising Push
• Micks AI Brings AI-Powered Product Photography to E-Commerce Brands
• AUTOCRYPT Establishes Public PKI System to Scale Plug&Charge Services in the Physical AI Era
• Malaysia’s MACC expands AI use for intelligence-led investigations
• 'AI Lawyer’ Roles Are Booming, But How Long Will Demand Last?
• BofA Reveals Software Stocks To Sell List Due to AI Agents Risk
• Agent Evaluation Reliability: More Tasks Won't (Always) Fix An Agent Leaderboard
• Tokayev: Artificial intelligence must become a key tool for industrial modernization
• Artificial intelligence is fueling a new battle over US healthcare costs