{"ok":true,"requestId":"71a298c778d50462e4e9f9b9","graph":{"graph_id":"deloitte-tech-trends-2026","slug":"deloitte-tech-trends-2026","canonical_slug":"deloitte-tech-trends-2026","canonical_url":"https://www.fodda.ai/graphs/deloitte-tech-trends-2026","readme_url":"https://api.fodda.ai/v1/graphs/deloitte-tech-trends-2026/readme","name":"Deloitte Tech Trends 2026","description":"Fodda's interpretation of Deloitte's public research & reports on technology trends.","curator":"Kelly Raskovich","curator_url":"","domain":"","version":"2026-Q1","public_bucket":"libraries","graph_type":"industry report","graph_sub_type":"Industry Report","verticals":["Artificial Intelligence","Tech"],"topics":["financial","services","technology","work"],"suitable_questions":["What is Deprecation of Third-Party Cookies?","How is Deprecation of Third-Party Cookies evolving?","What is Al Goes Physical: Navigating the Convergence of Al and Robotics?","How is Al Goes Physical: Navigating the Convergence of Al and Robotics evolving?","What is The Al Dilemma: Securing and Leveraging Al for Cyber Defense?","How is The Al Dilemma: Securing and Leveraging Al for Cyber Defense evolving?"],"example_queries":["What is Deprecation of Third-Party Cookies?","How is Deprecation of Third-Party Cookies evolving?","What is Al Goes Physical: Navigating the Convergence of Al and Robotics?","How is Al Goes Physical: Navigating the Convergence of Al and Robotics evolving?","What is The Al Dilemma: Securing and Leveraging Al for Cyber Defense?","How is The Al Dilemma: Securing and Leveraging Al for Cyber Defense evolving?"],"not_suitable_for":[],"selection_summary":"Fodda's interpretation of Deloitte's public research & reports on technology trends.","trend_count":21,"evidence_count":51,"article_count":51,"company_count":0,"derived_counts":{"trends":21,"evidence":51,"articles":51,"companies":0,"trend_count":21,"evidence_count":51,"article_count":51,"company_count":0},"last_synced":"2026-06-29T15:54:57.911Z","status":"live","deprecated":false,"freshness_status":"stale","last_updated":"2026-06-29","published_date":"2026-04-13","webpage_url":"https://www.fodda.ai/graphs/deloitte-tech-trends-2026","is_playground":false,"headline":"Fodda's interpretation of Deloitte's public research & reports on technology trends.","subhead":"","geography":["Global"],"company":"Deloitte","available_as":"","icon_url":"","portrait_url":"https://api.fodda.ai/v1/images/proxy?url=https%3A%2F%2Fv5.airtableusercontent.com%2Fv3%2Fu%2F59%2F59%2F1794254400000%2F2k3o0fRyvQyNasLaT3rydw%2FoWEnn_IXL5iR0Ha1x88Kq2tOEsqTX9JRW5-VfRPYA354vai2hQRWzHg3rsgdWW1Lw9z8RDq31B50bfZiie_J7k4TaYytL9zx6yVhNfSD61dEUEc7ZRgUwARGgLk_cy5I6zT16OFim7tLEF3cTW7vng%2FwvySDPln7VlPjHjS94tmIIoUoZYg0sMTfsZlfxGFNss","source_url":"","price_per_query":null,"what_it_does":"This graph provides a detailed analysis of how organizations are evolving their approach to artificial intelligence, moving from initial experimentation and pilot projects to achieving and quantifying measurable business impact. It maps out the key technological and strategic shifts expected to define the landscape leading into 2026.","key_features":"- Analysis of the AI adoption lifecycle\n- Identification of key 2026 technology trends\n- Frameworks for measuring AI impact and ROI","by_the_numbers":"21 trends, 51 evidence items","for_teams_like":"- Corporate Strategy\n- Innovation & R&D Departments\n- Technology Leadership (CIOs, CTOs)\n- AI & Machine Learning Teams","how_to_access":"Available via MCP, API, and Chat. Use graph ID: deloitte-tech-trends-2026","what_contains":"Trend, Article connected by USES_TECHNOLOGY, IN_INDUSTRY, IN_SECTOR, TARGETS_AUDIENCE, EVIDENCE_FOR, FEATURES_BRAND, CONTAINS_TREND, CONTAINS_ARTICLE\n","agent_prompt":"CRITICAL: Use this graph for strategic planning and analysis of upcoming technology trends, focusing on how to transition organizational AI initiatives from experimental phases to scalable, impactful business solutions.","skill_phase":null,"skill_tool_name":null,"report_analysis":{"thesis":"The pervasive advancement and integration of AI, demanding exponential computational power and driving the adoption of autonomous agents, is fundamentally reshaping technology investments, organizational structures, and strategic imperatives across industries.","why_it_matters":"Organizations must strategically pivot to AI-native architectures, allocate significant digital transformation budgets to AI automation, and develop sophisticated multi-agent systems to unlock exponential value. Concurrently, navigating evolving consumer digital behaviors, such as the rise of video podcasts, and addressing critical data privacy challenges like cookie deprecation and technology sovereignty, are paramount for competitive advantage and sustained growth.","sharpest_signal":"Why Al's Next Phase Will Likely Demand More Computational Power, Not Less, and The Great Rebuild: Architecting an Al-Native Tech Organization","best_evidence":["Deloitte forecasts that inference is likely to account for two-thirds of AI computing power by 2026, with overall demand rising four to five times per year, outpacing Moore's Law.","Market estimates suggest that the autonomous AI agent market could reach $8.5 billion by 2026 and $35 billion by 2030, with up to half of organizations dedicating over 50% of their digital transformation budgets to AI automation by 2026."],"discriminative_summary":"This graph uniquely synthesizes Deloitte's insights into the escalating computational demands and organizational shifts necessary for successful AI adoption, alongside key trends in consumer digital media and data privacy."},"core_tension":null,"matched_human_twin_slug":null,"expert_stance_quote":null,"cross_graph_signals":[]}}